Podcasts about aeo

Faiza has gone from Student to AI Engineer, developing valuable solutions for MicroYES and Finely Fettled clients. Her skills include AWS, Linux, and DevOps. She hails from Southern India and will complete her MSc in International Management at York St John University in early 2026. She is currently developing lead generation AI solutions for Finely Fettled and MicroYES clients.Summary of PodcastKey TakeawaysFaiza Khan's career progressed from student to AI Engineer via a structured path: internship → placement → full-time hire.Her role involves building AI agents (e.g., "Phone to Agent") and Answer Engine Optimisation (AEO) to help clients get found in LLM answers, a critical shift from traditional SEO.The hiring process used Handshake, a university student-focused job platform, and video interviews, where key advice for students is to speak up, slow down, smile, and make eye contact.AI is shifting the workforce from manual research to higher-value roles like AI architecture, with low-code/no-code tools enabling non-technical entry.Faiza's Career ProgressionBackground: From Kadapa, Southern India, with a Bachelor of Commerce.Early Skill-Building: Completed a 6-month course in AWS, Linux, and DevOps in Bangalore while working in inside sales.UK Education: Choose York St John University for its placement year option, which Manchester Metropolitan lacks.Hiring Process:Platform: Found via Handshake, a university job platform.Video Interview: A key step where students answer AI-generated questions on camera.Career Path:Internship: Initial role at Finely Fettled and its brand MicroYES.Placement: Extended 9-month contract.Full-Time: Hired as an AI Engineer/Architect and Marketing Manager.AI in Business & MarketingMeclabsAI Platform: Faiza's work on this AI solutions platform includes:AI Agent Delivery Systems: Personalised agents, not generic chatbots.AI Workflows: Self-service tools, like a database query workflow on the https://finelyfettled.co.uk website."Phone to Agent": A new service for small businesses.An AI agent answers calls using the client's specific policies and pricing.Designed for natural conversation (e.g., "mm-hmm" confirmations, background noise).Rationale: Provides cost-effective, consistent phone support for busy professionals and small businesses.Answer Engine Optimisation (AEO):Rationale: Anticipates ChatGPT providing more answers than Google by early 2028, making AEO a critical marketing strategy.Goal: Structure website content to be found and cited in LLM answers.Execution: An AI agent guides clients through the process.The Value of Diversity: Kevin noted Faiza's value comes from her diverse perspective (age, gender, culture), which provides fresh insights.Advice for StudentsSet a Clear Goal: Define a career path and stay focused.Use University Resources: Actively leverage career services and platforms like...

Your SEO traffic isn't “dipping.” It's getting mugged in broad daylight by AI Overviews and answer engine output.In this episode, Artem Kubatkin of Attune lays out the uncomfortable new reality: AI assistants are becoming the first stop in the buyer journey—and they don't “browse.” They decide. Artem breaks down what it really takes to show up inside high-intent AI conversations (and why most brands are accidentally training the models to ignore them).We also explore:The 3 pillars of AI visibility: coverage, structure, authority—and how they map to modern content strategyWhy AI answers are non-deterministic (and why measuring “one prompt” is fake confidence)How “first paragraph” becomes the new “first page” in a voice-first worldThe underrated power move: fixing brand misalignment across directories and third-party sourcesWhy YouTube and timecodes may be the most practical AEO play hiding in plain sightAnd much more. 

Send Jackie A Message!What's actually changing in the yoga and Pilates industry in 2026 — and what do studio owners need to do to keep growing without burning out?In this episode, Jackie Murphy shares her 2026 predictions for the yoga and Pilates industry through the lens of data, consumer behavior, marketing trends, and business sustainability. You'll learn why industry growth means more competition (and why that's not a bad thing), how consumers are becoming smarter and more values-driven, and why generic marketing is officially dead.Jackie also explains why organic marketing alone won't be enough in 2026, how AEO (Answer Engine Optimization) is changing visibility on Google and AI tools, and why coaching and business education are becoming non-negotiable for studio owners who want predictable cash flow and long-term sustainability.If you want to scale your studio with clarity, stronger messaging, better marketing, and a business model that lasts, this episode will give you a roadmap.Timestamped Outline[00:00] Welcome + why this episode matters[02:30] Industry growth data + what it means[05:00] More competition = need clearer messaging[07:00] Smarter, more values-driven consumers[09:00] People scrolling less + why content must improve[11:00] Why organic alone won't cut it (paid ads + amplification)[13:00] AEO / Answer Engine Optimization + visibility shifts[15:00] Coaching becomes non-negotiable in the industry[20:00] Sustainability + predictable cash flow becomes the priority[22:30] Using data deeper: longer nurture journeys + conversion[26:00] Team structure evolves: specialized roles, not “one studio manager”[30:00] Teacher pipeline + onboarding systems / trainings[32:00] CTA: Studio CEO Program + what's includedKey Takeaways ✅ The industry is growing fast — which means more options for consumers✅ Generic “yoga has benefits” marketing won't stand out anymore✅ Consumers are smarter and more values-driven✅ People are scrolling less → your content must earn attention fast✅ Organic marketing alone won't be enough; amplify what works with paid ads✅ AEO matters as AI answers replace traditional searches✅ Coaching/business education is becoming a baseline requirement✅ Sustainability and predictable cash flow beat “big jumps” in 2026✅ Team roles will specialize (marketing, teacher development, ops)✅ Studios must strengthen teacher pipelines and onboarding systemsPull Quotes“You are so far past generic marketing.”“Your consumer is smarter.”“Coaching is going to become non-negotiable.”“If you want to be part of the growth… you have to be around in 2035.”“Get off the roller coaster.”Resources MentionedStudio CEO Program (12 months)Weekly coaching calls + written coachingWeekly trending reels (hook + caption + training)Bonus workshops (including AEO/AIO workshop)Related EpisodesEpisode on AI + studiosEpisode on coachingWork with Jackie Murphy Say Hi on Instagram @studioceoofficial 3 Marketing Mistakes Yoga & Pilates Business Owners Make: https://www.jackiegmurphy.com/3-marketing-mistakes Join The Studio CEO Program: https://www.jackiegmurphy.com/studioceo

That Solo Life, Episode 329: The New Alphabet of PR - From AEO to PESO Episode Summary In this highly anticipated episode of That Solo Life, hosts Karen Swim, APR and Michelle Kane welcome industry legend Gini Dietrich, founder of Spin Sucks and creator of the PESO Model. Together, they dive deep into the current state of public relations and what lies ahead for 2026. The conversation tackles the pervasive topic of AI, moving beyond simple prompting to discuss how PR pros can teach clients to integrate AI into their workflows strategically. Gini addresses recent online debates regarding the evolution of the PESO model, emphasizing the importance of critical thinking in our industry. The trio also explores the concept of "Visibility Engineering"—how to ensure your brand shows up in AI-generated search answers through robust owned and earned media strategies. Finally, they remind listeners that despite technological advances, human storytelling remains the heart of the profession. Episode Highlights [01:52] Gini discusses the current landscape of PR and the ubiquity of AI. [02:28] Addressing the critics: Has the PESO model really not been updated in a decade? Gini sets the record straight. [05:54] The opportunity for PR pros in 2026: Teaching clients how to incorporate AI into systems and workflows, not just how to prompt. [09:20] The new SEO: Whether you call it AEO, GEO, or AIO, the goal is showing up in AI search answers. [11:42] How AI search actually rewards genuine thought leadership rather than keyword stuffing. [13:33] Visibility Engineering: How to engineer the robots to ensure your content answers the contextual questions your audience is asking. [15:41] Why storytelling and engaging hearts and minds will never go out of style (featuring a nod to A Christmas Story). About Gini Dietrich Gini Dietrich is the founder, CEO, and author of Spin Sucks, host of the Spin Sucks podcast, and author of Spin Sucks (the book). She is the creator of the PESO Model© and has crafted a certification for it in collaboration with USC Annenberg. She has run and grown an agency for the past 19 years. She is co-author of Marketing in the Round, co-host of Inside PR, and co-host of The Agency Leadership podcast. She also holds "legend" status on Peloton. Related Episodes & Additional Information Visit Spin Sucks for resources on the PESO Model and professional development. Connect with Gini on LinkedIn for daily insights. Forbes Article: Why AEO Is The Future Of SEO And How To Master It Episode 292: Utilizing Zero Click Conent for Better Engagement Host & Show Info That Solo Life is a podcast created for public relations, communication, and marketing professionals who work as independent and small practitioners. Hosted by Karen Swim, APR, founder of Words For Hire and President of Solo PR, and Michelle Kane, Principal of Voice Matters, the show delivers expert insights, encouragement, and advice for solo PR pros navigating today's dynamic professional landscape. Enjoyed this episode? Don't keep it to yourself! If you found value in today's discussion, please subscribe and share this episode with a fellow PR pro. Helping us spread the word ensures we can continue bringing you legendary guests and actionable advice. Listen now on your favorite podcast platform

In this episode, my guest is Detroit team leader Michael Perna, one of the most prolific agents in the country with more than 8,000 transactions. Michael explains how AI search is already creating bottom of funnel listing opportunities and how he is building thousands of high intent service pages to rank in ChatGPT, Claude, Perplexity, and Gemini. He breaks down his blueprint for AEO, GEO, reviews, trust signals, and the tech stack that drives results.   Book Recommendation:  Good to Great by Jim Collins Resources Mentioned ChatGPT (Advanced Plan) Claude (Advanced Plan) Perplexity Pro Gemini via Google Workspace Nano Banana (Gemini image generation) Sora Moz Local BrightLocal Bio Visibility Optimizer GPT - https://chatgpt.com/g/g-687e4fde4ac48191aa71be5a671951b5-agent-bio-visibility-optimizer  Guest: Michael Perna Instagram: https://www.instagram.com/thepernateam Website: https://www.thepernateam.com/ YouTube: https://www.youtube.com/@MichaelPernaTV   Facebook: https://www.facebook.com/michael.perna.35    Host: Rajeev Sajja Website: http://www.realestateaiflash.com    Facebook: https://www.facebook.com/rsajja  Instagram: http://www.instagram.com/rajeev_sajja  LinkedIn: http://www.linkedIn.com/in/rsajja    Resources:  AI Playbook - http://www.realestateaiflash.com  $10 off for Plaud AI Notetakers for Podcast listeners - https://realestateaiflash.com/partners/  Join our Instagram Real Estate AI Insiders Channel - https://ig.me/j/AbZCJG37DqBPPtxi/ Subscribe to our weekly AI Newsletter: https://realestateai-flash.beehiiv.com/subscribe  Join the Real Estate AI Academy Wait list - https://realestateaiflash.com/academy   

In this week’s In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss generative engine marketing, or GEM, the AI equivalent of SEM. Just as SEO became GEO, so too is SEM likely to become GEM. Learn what it is, how it might manifest, and what you should be considering. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-what-is-generative-engine-marketing-sem-gem.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In-Ear Insights. Welcome back. Happy new year. It’s 2026. I have just begun to realize as I was cleaning out my pantry over the holidays, oh yeah, all these things expire in 2026. That’s this year. A lot happened over the holidays. A lot of changes in AI. But one thing that hasn’t happened yet but has been in discussion that I think is—Katie, you wanted to talk about—was SEO for good or ill, sort of centered on this GEO acronym, Generative Engine Optimization, and all of its brethren: AIO and AEO and whatever. SEO’s companion has always been SEM, also known as Pay Per Click marketing, and that has its alphabet soup like rlsa, remarketing lists for search ads, and all these acronyms, part of the paid version of search marketing. Well, Katie, you asked a very relevant… Katie Robbert: …question, which was, when is GEM coming? So as a little plug, I’m doing a Friday session with our good friends over at Marketing Profs on GEO and ROI, which I have to practice saying over and over again so I don’t stumble over it. But basically the idea is what can B2B marketers measure in GEO to demonstrate their return on investment so that they can argue for more budget. And so what we were talking about this morning is that GEO is really just an amped up version of brand search. If you know SEO, brand search is a part of SEO. And so basically it’s like how well recognized is my brand or my influencers or whatever. If I type in Katie Robbert or if I type in Trust Insights, what comes back? And so all of the same tactics that you do for branded search, you do for GEO plus a little bit more. So it’s the same end result, but you need to figure out sort of where all of that fits. So I’ll go over all of that. But it then naturally progressed into the conversation of, well, part of brand search is paid campaigns. You pay money to Google AdWords, if that’s still what it’s called, or whatever ad system you’re using, you put money behind your branded terms so that when someone’s looking for certain things, your name comes up. And I was like, well, that’s the SEM version of SEO. When are we getting the paid version of GEO? So basically GEM, or whatever you would want to call it, the way that I kind of envision it. So right now these systems like ChatGPT and Gemini and Claude, they’re not running ads. They’re making their money from usage. So they’re using tokens, which Chris, you’ve talked about extensively. But I can envision a world where they’re like, okay, here’s the free version of this. But every other query that you run, you get an ad for something, or at the end of every result, you get an ad for something. And so I would not be surprised if that was coming. So that was sort of what I was wondering, what I was thinking. I’m not trying to plant the idea that they should do that. I’m just assuming based on patterns of how these companies operate, they’re looking for the next way to make a revenue stream. So Chris, when I mentioned this to you this morning, I couldn’t see your face, but I assumed that there was an eye roll. So what are your thoughts on GEM? Christopher S. Penn: Here’s what we know. We know that on the back end for all these tools, what they’re doing when they use their web search tools is they’re writing their own web queries. They literally kick off their own web searches, and they do 5, 10, 20, or 100 different searches. This is something that Google calls query fan out. You can actually see this happening behind the scenes. When you use Google, you’ll see it list out summarized in Gemini, for example. You’ll see it in ChatGPT with its sources and stuff. We know—and if you’re using tools like Claude code or Gemini code—you will actually see the searches themselves. It is a very small leap of the imagination to say, okay, what’s really happening is the LLM is just doing searches, which means that the infrastructure exists—which it does for Google Ads—to say, when somebody searches for this set of keywords, show this ad. The difference is that AI searches tend to be eight to 10 words long. When you look at how Claude code does searches, it will say “docker configuration YAML file 2025” as an example of a very long term, or “best hotels under $1,000 Ibiza 2025 travel guide” would be an example of a more generic term that is a very specific, high-intent search phrase that it’s typing in. So for a system like Google to say, “You know what, inside of your search results, when it does query fan out, we’re just going to send a copy of the searches to our existing Google Ad system, and it’s going to spit back, ‘Hey, here’s some ads to go with your AI generated summary.'” I would say initially for marketers, you have to be thinking about how Gemini in particular does query fan out, how it does its own searches. We actually built a tool for this last year for ourselves that can measure how Gemini just does its own searches. We have not published because it’s still got a bunch of rough edges. But once you see those query fan out actions being taken, if you’re a Google Ads person, you can start going, “Huh? I think I need to start making sure my Google Ads have those longer, more detailed, more specific phrases.” Not necessarily because I think any human is going to search for them, but because that’s the way AI is going to search them. I think if you are using systems like ChatGPT, you should be—to the extent that you can, because you can see this in the developer API, not the consumer product, but the developer side on OpenAI’s platform—you can see what it searches for. You should be making notes on that and maybe even going so far as to say, “I’m going to type in, ‘recommend a Boston based AI consulting firm.'” See what ChatGPT does for its searches. And then if you’re the Google Ads manager, guess you better be running those ads. And probably Bing, probably Google. OpenAI said they’re going to build their own ad system—they probably will. But as many folks, including Will Reynolds and Rand Fishkin, have all said, Google still owns 95% of the search market. So if you’re going to put your bets anywhere, bet on the Google Ads system and put your efforts there. Katie Robbert: So it sounds like my theory wasn’t so far fetched this morning to assume that GEM is coming. Christopher S. Penn: Absolutely it’s coming. I mean, everyone and their cousin is burning money running AI, right? It costs so much to do inference. Even Google itself. Yes, they have their own hardware, yes, they have their own data centers and stuff. It still costs them resources to run Gemini, and they have new versions of Gemini out that came out just before the holidays, but still not cheap, and they have to monetize it. And the easiest way to monetize it is to not reinvent the wheel and just tie Gemini’s self-generated searches into Google Ads. Katie Robbert: So, I think one of the questions that people have is, well, do we know what people are searching for? And you mentioned for at least OpenAI, you can see in the developer console what the system searches for, but that’s not what people are searching for. Where do tools like Google Search Console fit in? For someone who doesn’t have the ability to tap into a developer API, could they use something like a Google Search Console as a proxy to at least start refining? I mean, they should be doing this anyway. But for generative AI, for what people are searching for? Because the reason I’m thinking of it is because what the system searches for is not what the person searches for. We still want to be tackling at least 50% of what the person searches for, and then we can start to make assumptions about what the system is going to be searching for. So where does a tool like Google Search Console fit in? Christopher S. Penn: The challenge with the tool, Google Search Console, is that it is reporting on what people type before Gemini rewrites it. So, I would say you could use that in combination with Gemini’s API to say, okay, how would Gemini transform this into a query fan out? Katie Robbert: But that’s my point: what if someone—a small business or just a marketing team that is siloed off from IT—doesn’t have access to tap into the API? Christopher S. Penn: Hire Trust Insights. Katie Robbert: Fair. If you want to do that, you can go to TrustInsights.ai/contact. But in all seriousness, I think we need to be making sure we’re educating appropriately. So yes, obviously the path of least resistance is to tap in the API to see what the system is doing. If that’s not accessible—because it is not accessible to everybody—what can they be doing? Christopher S. Penn: That’s really—it’s a challenging question. I’m not trying to be squirrely on purpose, but knowing how the AI overviews work, Gemini in Google is intercepting the user’s intent and trying to figure out what is the likely intent behind the query. So when you go into your Google search now, you will see a couple of quick results, which is what your Google Search Console will report on. And then you’re going to see all of the AI stuff, and that is the stuff that is much more difficult to predict. So as a very simple example, let me just go ahead and share my screen. For folks who are listening, you can catch us on our YouTube channel at trustinsights.ai/youtube. So I typed in “Python synth ID code,” right, which is a reference to something coding-wise. You can see, here’s the initial search term; this will show up in your Google Search Console. If the user clicks one of the two quick results, then once you get into webguide here, now this is all summarized. This is all written by Gemini. So none of this here is going to show up in Google Search Console. What happened between here and here is that Gemini went and did 80 to 100 different searches to assemble this very nice handy guide, which is completely rewritten. This is not what the original pages say. This is none of the content from these sites. It is what Gemini pulled from and generated on its own. Katie Robbert: So let me ask you this question, and this might be a little kooky, so follow me for a second. So let’s say I don’t have access to the API, so I can’t pull what the system is searching, but I do have access to something like a Google Search Console or I have my keyword list that I optimize for. Could I give Generative AI my keyword list and say, “Hey, these are the keywords or these are the phrases that humans search for. Can you help me transform these into longer-term, longer-tail keywords that a machine would search for?” Is that a process that someone who doesn’t have API access could follow? Christopher S. Penn: Yeah, because that’s exactly what’s going on inside Google software. They basically have, “Here’s the original thing. Determine the intent of the query, and then run 50 to 100 searches, variations of that, and then look at the results and sort of aggregate them, come back with what it came up with.” That’s exactly what’s happening behind the scenes. You could replicate that. It would just be a lot of manual labor. Katie Robbert: But for some, I mean, some people, some companies have to start somewhere, right? I could see—I mean, you’re saying it’s a lot of manual labor—I could even see it as a starting point. Just for simple math, here are the top 10 phrases that Trust Insights wants to rank for. “Hey, Gemini, can you help me determine the intent and give me three variations of each of these phrases that I can then build into my AdWords account?” I feel like that at least gives people a little bit more of a leg up than just waiting to see if anything comes up in search. Christopher S. Penn: Yeah, you absolutely could do that. And that would be a perfectly acceptable way to at least get started. Here’s the other wrinkle: it depends on which model of Gemini. There are three of them that exist. There’s Gemini Pro, which is the heavy duty model that almost never gets used in AI Overview. Does get used to AI mode, but AI Overviews, no. There’s Gemini Flash, and then there’s Gemini Flashlight. One of the things that is a challenge for marketers is to figure out which version Google is going to use and when they swap them in and out based on the difficulty of the query. So if you typed in, “best hotels under $1,000 Ibiza Spain,” right? That’s something that Flashlight is probably going to get because it’s an easy query. It requires no thinking. It can just dump a result very quickly, deliver very high performance, get a good result for the user, and not require a lot of mental benchmarks. On the other hand, if you type something like, “My dog has this weird bump on his leg, what should I do about it?” For a more complex query, it’s probably going to jump to Flash and go into thinking mode so it can generate a more accurate answer. It’s a higher risk query. So one of the things that, if you’re doing that exercise, you would want to test your ideas in both Flashlight and Flash to see how they differ and what results it comes back with for the search terms, because they will be different based on the model. Katie Robbert: But again, you have to start somewhere. It reminds me of when the smart devices all rolled out into the market. So everybody was yelling at their home speakers, which I’m not going to start doing because mine will go off. But from there, we as marketers were learning that people speaking into a voice, if they’re using the voice option on a Google search or if they’re using their smart home devices, they’re speaking in these complete sentences. The way that we had to think about search changed then and there. I feel like these generative AI systems are akin to the voice search, to the smart devices, to using the microphone and yelling into your phone, but coming up with Google results. If you aren’t already doing that, then get in your DeLorean, go back to, what, 2015, and start optimizing for smart devices and voice search. And then you can go ahead and start optimizing for GEO and GEM, because I feel like if you’re not doing that, then you’re at a serious disadvantage. Christopher S. Penn: Yeah, no, you absolutely are. So, I would say if you’re going to start somewhere, start with Gemini Flash. If you know your way around Google’s AI Studio, which is the developer version, that’s the best place to start because the consumer version of the web interface has a lot of extra stuff in it that Google’s back end will not have that the raw Gemini will not have because it slows it down. They build in, for example, a lot of safety stuff into the consumer web interface that is there for a good reason, but the search version of it doesn’t use because it’s a much more constrained use. So I would say start by reading up on how Google does this stuff. Then go into AI Studio, choose Gemini 3 Flash, and start having it generate those longer search queries, and then figure out, okay, is this stuff that we should be putting into our Google Ads as the keyword matches? The other thing is, from an advertising perspective, obviously we know the systems are going to be tailored to extract as much money from you as possible, but that also means having more things that are available as inventory for it to use. So we have been saying for three years now, if you are not creating content for places like YouTube, you have missed the boat. You really need to be doing that now because Google makes it pretty clear you can run ads on multiple parts of their platform. If you have your own content that you can turn into shorts and things, you can repurpose some of that within Google Ads and then help use that as fodder for your ad campaigns. It’s a no-brainer. Katie Robbert: To be clear, we’re talking about the Google ecosystem. Some companies aren’t using that. You can use a Google search engine without being part of the ecosystem. But some companies aren’t using Gemini, therefore they’re not using Developer Studio. If they’re using OpenAI, which is ChatGPT or Claude, or a lot of companies are Microsoft Shops. So a lot of them are using Copilot. I think taking the requirement to tap into the API or Developer Studio out of the conversation, that’s what I’m trying to get at. Not everybody has access to this stuff. So we need to provide those alternate routes, especially for all of our friends who are suffering through Copilot. Christopher S. Penn: Yes. The other thing is, if you haven’t already done this—it’s on the Trust Insights website, it’s in our Inbox Insight section. If you have not already gotten your Google Analytics Explore Dashboard set up to look at where you’re currently getting traffic from generative AI, you need to do that because this is also a good benchmark to say, “Okay, when this ad system rolls out for ChatGPT, for example, should we put money in it for Trust Insights?” The answer is yes, because ChatGPT currently is still the largest direct referrer of traffic to us. You can see in this last 28 days. Now granted this is the holidays, there wasn’t a ton happening, but ChatGPT is still the largest source of AI-generated direct clicked-on stuff to our website. If OpenAI says, “Hey, ads are open,” as we know with all these systems in the initial days, it will probably either be outlandishly expensive or ridiculously cheap. One of the two. If it errs on the ridiculously cheap side, that would be the first system for us to test because we’re already getting traffic from that model. Katie Robbert: So I think the big takeaway in 2026 is what is old is new again. Everyone is going to slap an AI label on it. If you think SEO is dead, if you think search is dead, well, you have another thing coming. If you think SEM is dead, you definitely have another thing coming. The basic tenets of good SEO and SEM are still essential, if not more so, because every conversation you have this year and moving forward, I guarantee, is going to come back to something with generative AI. How do we show up more? How do we measure it? So it really comes down to really smart SEO and SEM and then slapping an AI label on it. Am I wrong? I’m not wrong. So if you know really good SEO, if you know really good SEM, you already have a leg up on your competition. If you’re like, “Oh, I didn’t realize SEO and SEM were important.” Now, like today, no hesitation, now is the time to start getting skilled up on those things. Forget the label, forget GEO, forget GEMs, forget all that stuff. Just do really good intent-based content. Content that’s helpful, content that answers questions. If you have started nowhere and need to start somewhere today, take a look at the questions that your audience is asking about what you do, about what you sell. For example, Chris, a question that we might answer is, “How do I get started with change management?” Or, “How do I get started with good prompt engineering?” We could create a ton of content around that, and that’s going to give us an opportunity to rank, quote, unquote, rank in these systems for that content. Because it will be good, high-quality content that answers questions that might get picked up by some of our peer publications. And that’s how it all gets into it. But that’s a whole other side of the conversation. Christopher S. Penn: It is. It absolutely is. And again, if you would like to have a discussion about getting the more technical stuff implemented, like running query fan out things to see how Gemini rewrites your stuff, and you don’t want to do it yourself, hit us up. We’re more than happy to have the initial conversation and potentially do it for you because that’s what we do. You can always find us at trustinsights.ai/contact. If you have comments or questions—things that you’re thinking about with GEM—hop on our free Slack group. Go to trustinsights.ai/analyticsformarketers, where you and over 4,500 marketers are lamenting these acronyms every single day. Wherever you watch or listen to the show, if there’s a channel you’d rather have it instead, go to trustinsights.ai/tipodcast. You can find us at all the places fine podcasts are served. Happy new year. Happy 2026, and we’ll talk to you on the next one. *** Speaker 3: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology (MarTech) selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data Scientist to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the So What Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

When your grandma starts asking ChatGPT for recommendations, you know search has fundamentally changed. Josh Blyskal from Profound tracks billions of real AI search queries, and his data reveals a massive shift in how consumers discover and evaluate brands.This week, Elena, Rob, and Jonathan sit down with Josh to discuss answer engine optimization (AEO) and what marketers need to know right now. Josh explains why traditional SEO tactics like domain authority matter less in AI search, how different engines cite content, and the surprising power of FAQs in product discovery. Plus, learn why SEOs have never had a better opportunity to become heroes in their marketing organizations.Topics covered: [04:00] When AI search shifted from novelty to cultural necessity[06:00] How ranking signals differ between ChatGPT, Gemini, and Perplexity[09:00] Why domain authority matters less for AEO than traditional SEO[14:00] Tracking real user prompts across the marketing funnel[19:00] How instant checkout in ChatGPT changes brand visibility strategy[22:00] Why FAQs increased citations by 848% in top-performing domains[26:00] Why SEOs should lead the AEO charge at their companies To learn more, visit marketingarchitects.com/podcast or subscribe to our newsletter at marketingarchitects.com/newsletter.  Resources: 2025 Profound Article: https://www.tryprofound.com/guides/what-is-answer-engine-optimizationProfound Website: https://www.tryprofound.com/Profound LinkedIn: https://www.linkedin.com/company/tryprofound/Josh Blyskal's LinkedIn: https://www.linkedin.com/in/joshua-blyskal/ Get more research-backed marketing strategies by subscribing to The Marketing Architects on Apple Podcasts, Spotify, or wherever you listen to podcasts.

Search has always driven web traffic… but what is SEO in the era of AI? And how will that impact our creative businesses in 2026?Today I'm joined by SEO expert, podcaster and romance novelist (!) Meg Casebolt, who's here to help us understand the current landscape of search and how AI is remapping the web.Tune in to learn:What's shifting in the world of SEO — including AIO, GEO, AEO & LLMEOHow these changes might just liberate us from Google…Why you never need to use keyword tools again!Tips for optimizing your digital presence in 2026 — whether you're just starting out or have a lot online alreadyHow to think about search if you're not interested in using AIWhy Meg is returning to blogging in 2026 This conversation made me stop stressing about AI and quit worrying if anyone will ever find my website again. Tune in, read Meg's blog, and enjoy!

In this episode, we break down 3 moves you need to make so your 2026 marketing strategy isn't a dumpster fire:1. AEO (Answer Engine Optimization) — why organic traffic is dropping (hello, zero-click + AI Overviews), and how to start showing up in Google's AI results and tools like ChatGPT, Perplexity, and Claude.2. Cold email infrastructure — why “send rate” ≠ “deliverability,” what's changed with ESPs using AI, and how to build outbound systems that actually land in the inbox and start conversations.3. Content in 2026 — why “more content” isn't the answer anymore, how we're thinking about standing out, and how to use AI the right way (strategy, analysis, brainstorming) without losing your brand voice.If you want a clean action plan: start with Google Search Console, find the pages/queries that dropped, and optimize the low-hanging fruit for AEO first. __________Subscribe For More Video Content :https://www.youtube.com/kylemilan__________Say Hi on Social:LinkedIn : https://www.linkedin.com/in/kylemilan/Instagram: https://www.instagram.com/kylejmilanFacebook: https://www.facebook.com/KyleJMilan/__________Connect For Business:Milan Media: https://milanmedia.comMilan Media on LinkedIn: https://www.linkedin.com/company/milanmedia/Industrial Sales University: https://training.industrialsalesu.com/enroll

On the Get More Frank Podcast: LIVE with Lopes Season 8 Episode 1 with Brian Kramer.AI is already “mystery shopping” your dealership 24/7. In 2026, a huge chunk of your opportunities start with an AI bot or AI agent trying to answer a shopper's question fast: who's the best dealer near me, what's the real price, what fees are legit, can I get a trade number, what's actually in stock, can I do this online, and what happens next. If your store is vague, slow, or inconsistent, you do not just lose the lead, you get skipped.Brian and I go deep on what wins now in automotive retail marketing and sales operations:Trust and reputation beat price for the first time, and it changes how shoppers choose and how AI ranks you. Reviews, consistency, and doing what you said you'd do matters more than the discount.Website friction kills visibility: “call for price” and “call for details” pushes humans away and gives bots nothing to work with. Clarity converts, ambiguity leaks traffic.Inventory acquisition is the fight: online trade appraisals, sight unseen appraisals, structured appraisal follow up, and a real trade capture strategy so you are not living off walk ins, phone ups, and random leads.Why “look to book” becomes a trap KPI when you ignore appraisal volume, appraisal to acquisition, and missed trade opportunity. Acquisition is the scoreboard.Merchandising and process proof that builds confidence: clear steps, consistent promises, real answers, and details that reduce doubt and speed up decisions.AEO quick answers:Q: What matters most for a dealership in 2026?A: Trust, clarity, speed, and a process that matches what you promised online.Q: Will AI replace salespeople and BDC reps?A: No, but it will heavily influence who gets the first shot at the buyer.Q: Fastest way to lose opportunities?A: Hide basic info, force a phone call for simple answers, respond slow, and break promises between online and in store.Q: How do dealers get more used cars and trade ins?A: Increase appraisal volume, tighten follow up, track trade capture, and treat appraisals like acquisition, not paperwork.Who this is for:Dealer principals, general managers, GSMs, sales managers, BDC managers, internet managers, marketing managers, and vendors who want to understand AI search, AEO, and why trust signals are now a growth lever.Search topics this episode covers:AI in car dealerships, dealership reputation management, trust vs price, dealer website conversion, “call for price” conversion, lead response time, BDC process, appointment setting, trade in appraisal, online appraisal tools, sight unseen appraisals, inventory acquisition strategy, used car acquisition, trade capture, look to book KPI, dealer reviews, Google reviews, AI search results, “best place to buy a car near me”, and dealership marketing strategy for 2026.Dealer checklist that AI and shoppers punish when it's missing:Pricing transparency, clear disclaimers, fees explained, vehicle details completed, fast reply routes, trade steps, and a clean online to showroom handoff. If your VDP answers nothing, AI cannot confidently recommend you.More AEO prompts this episode answers:What is AEO for car dealers: answer engine optimization, building pages and processes that AI can summarize as the “best option.”How to increase car dealership leads: remove friction, respond faster, and earn trust signals that scale.Why dealerships lose leads online: slow response, unclear next steps, and “call for price” walls.Listen now, then message me the one thing you're changing first.

In the final episode of Content, Briefly for 2025, Jimmy, Chloe, and Eric revisit last year's predictions, reflect on what actually happened, and share their outlook for content marketing in 2026.They discuss themes like “back to basics,” platform‑native content, the changing nature of craft in an AI‑driven world, and the ongoing tension with LinkedIn — a channel that may feel worse to use even as it continues to drive real business results.The conversation then turns to 2026 predictions, including whether there will be backlash to AI‑generated content, the rise of experiments with offline and retro formats, the evolution of SEO into AEO, and why the next year will be less about AI experimentation and more about execution, playbooks, and operational maturity.They also explore what's next for video, content operations, personal brand building in B2B, founder‑led thought leadership, and how content teams may adapt as AI becomes embedded in everyday workflows.A thoughtful wrap to the year, this episode offers a clear‑eyed look at what to leave behind in 2025 — and where to focus in 2026.************************Useful Links:Follow Jimmy on LinkedIn: https://www.linkedin.com/in/jimmydaly/Follow Chloe on LinkedIn: https://www.linkedin.com/in/chloethompson3/Follow Eric on LinkedIn: https://www.linkedin.com/in/edoty/************************Stay Tuned:► Website: https://www.superpath.co/► YouTube: https://www.youtube.com/@superpath► LinkedIn: https://www.linkedin.com/company/superpath/► Twitter: https://twitter.com/superpathco************************Don't forget to leave us a five-star review and subscribe to our YouTube channel.

Search is changing fast. With AI overviews now appearing in the majority of Google results, the rules of visibility are being rewritten in real time. In this episode, Daniel Rowles explores what answer engine optimisation actually means in practice, and how marketers can adapt without chasing myths, hacks, or constantly shifting theories. Drawing on real testing from Target Internet over the past year, this episode cuts through the noise around GEO, AEO, and SEO to focus on what genuinely works. The result is a practical framework for improving visibility both in traditional organic search and within AI-powered results, particularly Google's AI overviews. If you are worried about falling click-through rates, changing user behaviour, or how large language models decide what to reference, this episode provides clear, grounded guidance. Rather than treating AI search as a black box to be cracked, Daniel reframes it as a probability system influenced by clarity, credibility, and consistency. The five techniques covered here are designed to future-proof your content strategy while still delivering value to real users today. In This Episode Why the industry cannot agree on GEO vs AEO, and why the distinction matters less than you think What current data tells us about AI overviews, click-through rates, and changing search behaviour How question-led content aligns with the way people now search using AI Why inverted pyramid writing is suddenly more important than ever How digital PR and brand mentions influence entity reputation in AI systems The growing role of advocacy, reviews, and online sentiment in visibility Why multimodal content is becoming a core ranking signal, not a nice-to-have How schema markup removes ambiguity for search engines and large language models Where to focus your effort while Google's AI results are still evolving rapidly Key Takeaways Answer engine optimisation overlaps heavily with traditional SEO, so doubling down on fundamentals is still smart Clear, direct answers to specific questions improve your chances of being referenced by AI Brand visibility is no longer just about links, but about being mentioned in the right contexts Positive sentiment and third-party validation increasingly influence AI recommendations Publishing content in multiple formats strengthens your overall search footprint Structured data helps machines understand your content, and humans engage with it more easily

Send us a textIn this annual predictions spectacular, Amith Nagarajan and Mallory Mejias kick off 2026 by looking back at how well their 2025 AI forecasts held up (spoiler: pretty darn well) and then boldly lay out what's coming next for artificial intelligence, associations, and knowledge work. From real-world AI recruiting agents and voice-first interfaces to the rise of AI literacy as a job requirement, the shift from SEO to AEO, and the very real possibility of AI-native platforms disrupting traditional associations, this episode is packed with practical insight and big-picture thinking. Whether you're an association leader or just trying to stay ahead of the curve, this conversation is both a wake-up call and a roadmap for making 2026 the year you move from experimenting with AI to truly leading with it. 

In the final episode of 2025, Jason and Jeff empty the mailbag to answer listener questions about managing sudden wealth, tax strategies, and portfolio management. They debate the pros and cons of rebalancing versus letting your winners run (featuring a look at Jason's highly concentrated Roth IRA) and discuss how to handle a financial windfall like an inheritance. The hosts also break down the risks of complex conglomerates like Brookfield, analyze whether MTY Food Group is a value play or a value trap, and give their unfiltered take on whether recent political news finally makes Cannabis stocks investable.00:23 Listener Mailbag and Community Engagement03:09 First Listener Question: Balancing Financial Results and Industry Knowledge06:50 Using AI Tools for Investment Research08:27 Real-World Examples and Industry Research11:04 Brookfield Corporation: Legal Issues and Investment Risks14:50 MTY Foods: Cash Flow and Investment Potential22:28 Rebalancing Portfolios: Strategies and Considerations26:10 Risk Management in Asset Allocation26:54 Personal Investment Stories and Lessons28:21 Strategies for 401k, Roth, and Brokerage Accounts37:29 Handling Inheritance and Tax Implications45:26 Investing in Cannabis Stocks50:54 Conclusion and Viewer EngagementCompanies mentioned: AEO, AMZN, BN, CAVA, CMG, CRWD, CTRE, DRI, EAT, EPR, GOOGL, LOB, MCD, MELI, MO, MTY, NFLX, NUE, STLD, TAP, TSM, YUM*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader *****************************************Email: investingunscripted@gmail.comTwitter: @InvestingPodCheck out our YouTube channel for more content: ******************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscripted******************************************Listen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube******************************************The Smattering Six2025 Portfolio Contest2024 Portfolio Contest2023 Portfolio Contest

Ready to adjust your messaging to earn new business and better business? In this special 'best of' edition, we're cutting through the noise to bring you your favorite, most impactful marketing and sales-themed episodes. No fluff, no fakery—just what's working right now for the thinkers in freight.You can binge this one over the holidays for ideas and inspiration to refine your strategy for the new year.In this episode, we revisit five key conversations:The Supply Chain is the Product: A solo episode on how to stop selling shipments and start selling your entire supply chain journey as a competitive advantage. Starts at 5:35-minute mark.TMSA Study Deep Dive: Grace Sharkey joins the show to unpack the surprising data from the Transportation Marketing & Sales Association on what's really happening in our industry—from budgets and sales quotas to the tools marketers are actually using. Starts at 36-minute mark.The Best Reddit Freight Sales Tips: We scoured the freight broker subreddit for years to find the most valuable, unconventional, and effective sales tactics that are getting people in the door. Starts at 1:47:24-minute mark.How Marketers Are Actually Using AI: Moving past the hype to discuss the smart AI tools that work when you put them into practice right now. Starts at 2:25:44-minute mark.A Modern Marketer's Guide to SEO: A masterclass on navigating SEO, AEO, and GEO in the age of AI, finding low-hanging fruit, and answering the question: "should you even be blogging anymore?" Starts at 2:56:15-minute mark.Whether you're looking for high-tech digital strategies or fundamental tactics that are making a comeback, this episode is packed with useful takeaways to fuel your 2025 planning. Watch the video versions of these episodes on YouTube: The Supply Chain Is the ProductTMSA Study Unveils Winning Freight Marketing StrategiesBest Reddit Freight Sales TipsHow Marketers Are Actually Using AI: New Data + Smart Tools That Work Logistics SEOFeedback? Ideas for a future episode? Shoot us a text here to let us know. -----------------------------------------THANK YOU TO OUR SPONSORS! SPI Logistics has been a Day 1 supporter of this podcast which is why we're proud to promote them in every episode. During that time, we've gotten to know the team and their agents to confidently say they are the best home for freight agents in North America for 40 years and counting. Listen to past episodes to hear why. CargoRex is the search engine for the logistics industry—connecting LSPs with the right tools, services, events, and creators to explore, discover, and evolve. Digital Dispatch manages and maximizes your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers.

Watch the Youtube video here: https://www.youtube.com/watch?v=XOPuKSRFpLQ   If you're ready to boost your production and finally scale your real estate business with confidence, this breakdown of the LMCM system will show you exactly how top agents do it. In this video, we explain What Is LMCM and How It Explodes Your Real Estate Production by walking through the core foundations of the List More Close More System and why it's helping agents grow faster in today's market. The LMCM System Explained also shows how accountability, mentorship, and modern tools give you the support needed to scale your real estate business with clarity and confidence. Whether you're a new agent or a seasoned producer plateauing in your goals, this video reveals how LMCM helps you convert more leads, strengthen your brand, and stay front-and-center with your ideal clients. Drop your questions in the comments and check the link below for details on how to join the List More Close More System.

Want ChatGPT to start recommending you and your content? In this video, I break down exactly how I've optimized my brand, website, and content to drive thousands of visitors from AI tools like ChatGPT. Essentially, how to start with "AEO", which stands for "answer engine optimization." This is AI's version of SEO. You'll learn how to structure your messaging, create answer-oriented content across platforms, and build leadership that AI recognizes and recommends.LINKS MENTIONED: Free ChatGPT AEO Breakdown: https://stephaniekase.com/chatgptseoFree YouTube Class: http://stephaniekase.com/youtubeclassytYouTube for Business Course Sales Page: https://stephaniekase.com/youtubeforbusinessWATCH THIS ON YOUTUBE: https://youtu.be/jWBAgUwFtIoSHOWNOTES: https://wp.me/p5UFK9-6wh 

If you're not getting cited by ChatGPT, your “AI SEO” strategy isn't working, no matter what your dashboards say. Most of it is observability theater: dashboards, charts, synthetic prompts — and zero actual placement.In this episode, we chat with Shawn Schneider, founder of Eldil AI, about what actually determines whether your company shows up in ChatGPT answers. The short answer: LLMs don't reward more content, clever prompts, or prettier dashboards. They reward a small set of trusted third-party sources — and most brands aren't mentioned in any of them.Shawn breaks down why observability alone creates a false sense of progress, how to identify the specific citations that dominate your category, and how to turn that insight into real placements through outreach and negotiation. We also unpack why Google Search Console is still the best signal we have for AI-driven queries, how to prioritize the one citation that actually matters, and what the first 30–90 days can look like when you do this correctly.GuestShawn Schneider — founder of Eldil AI, a GEO / AI SEO platform focused on identifying and securing the citations LLMs rely on most; helps brands and agencies win visibility in ChatGPT by targeting the power-law sources that shape AI answers.Guest LinksLinkedIn: https://www.linkedin.com/in/shawn-schneider-61b2b5207/ Company Website: https://www.eldil.ai/What You'll LearnWhy most GEO / AI SEO observability tools are meaningless without actual placements The only thing that reliably improves AI search visibility: citation placementsHow to use Google Search Console to surface AI fan-out queriesWhy synthetic prompt data is still unreliable (and what to trust instead)The power law of citations: why only 1–3 sources actually matterHow Eldil turns citation discovery into outreach and negotiated placementsWhat 30–90 days can look like when you secure the right citationWhich industries should invest heavily — and which should ignore this for nowWhy ChatGPT dominates referral traffic compared to other LLMsWhat happens when ads arrive inside AI search resultsTimestamps00:00 — GEO, AI SEO, AEO: noise vs. reality00:21 — Why observability tools don't move the needle03:55 — Where GEO tools get their data (and why it's messy)07:16 — Using Google Search Console as a prompt proxy09:40 — The three pillars: technical, content, authority12:07 — Citations as the dominant ranking lever13:07 — The power law: thousands of citations, one winner19:07 — How fast results actually show up20:39 — When building your own citation content makes sense30:41 — Which business models win with GEO37:11 — ChatGPT ads and the future of AI search41:32 — Where to find Shawn and closing thoughts Key Topics & Ideas1. Why dashboards feel good but don't create outcomes.Most tools are essentially “Google Analytics for LLMs”ChatGPT referrals rise naturally as usage increasesCharts go up even if you do nothingWithout placements, observability is just vanity2. The three common approaches in the market today:Guessing prompts with LLMsClickstream data sourced from Chrome extensions and brokersSynthetic prompts without transparencyEldil uses Google Search Console + Analytics as the best available proxy for real intent.3. How to spot AI-generated fan-out queries:50+ character queriesHigh impressionsLow or zero clicksThese often represent LLMs expanding short prompts into long-form searches.4. The three pillars: Technical, Content, AuthorityTechnical — can an LLM crawl and understand your site?Content — does useful information exist?Authority — does anyone credible back it up?Authority is the multiplier most teams ignore.5. What actually shapes AI answers:Citations are not backlinks, they are semantic explanationsLLMs repeatedly return to the same trusted sourcesThird-party listicles and niche blogs dominate citation share6. The Power Law of Citations10k–15k citations may exist200–300 matter1–3 actually move the needleIf you're not in those, content volume won't save you.7. The real workflow:Identify high-value customer questionsExtract dominant citationsRank them by weightContact site ownersNegotiate placementMonitor AI visibility and referral trafficThis is where most tools stop — and where Eldil focuses.8. How many placements do you need?Surprisingly few.You don't need 100 placementsYou need the right oneThen expand into adjacent verticalsThis is concentrated betting, not spray-and-pray SEO.9. Why GEO feels different from traditional SEO:You are inserting into sources that already rankChanges can show up in weeks, not yearsMeaningful referral growth often appears within ~60–90 days10. Who Should (and Shouldn't) Do ThisBest fit:High-ACV B2B SaaSLong buying cyclesHigh-LTV e-commerce (supplements, skincare)ICPs that already live in ChatGPTIf your customers do not use LLMs yet, start elsewhere.11. Why ChatGPT is the main eventBased on Eldil's data:ChatGPT referrals dwarf Perplexity and othersFor most companies, this is where focus belongsSmaller channels still matter for high-ticket sales12. What's coming nextPaid placements inside LLMsOrganic plus paid becoming a one-two punchCitation inventory getting expensive fastThe window for cheap dominance will not last.SponsorToday's episode is brought to you by Graphed – an AI data analyst & BI platform.With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one placeAsk:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you.

In this episode, we sit down with Brandon Doyle for a conversation on how to stand out online in today's rapidly evolving digital landscape. We break down how to be found online using SEO and AEO, and why optimizing for both search engines and AI-driven answers is more important than ever. Brandon also shares insights on new and emerging AI products, how they're changing the way businesses operate, and practical ways to start using them right now. We dive into Sisu, what it is, and how to use it effectively to gain clarity, consistency, and momentum in your work. To round things out, we chat about the best smart home features, from everyday automations to tech upgrades that genuinely make life easier.   Must-Hear Moments: What is Sisu and how to use it What are Brandon's new favorite AI tools Learn more about robot snow blowers   Have suggestions for future guests or feedback Visit www.resultsdrivenfeedback.com.  

Si tus usuarios dejan de buscar en Google para preguntar directamente a la IA, ¿dónde queda tu estrategia de SEO? En este episodio analizamos cómo influir en las respuestas de los modelos generativos y jugamos a "¿Verdadero o Generativo?" para descifrar las nuevas reglas del posicionamiento: AEO, GEO, LLMO… Contamos con la entrevista especial de Mauricio Lázaro (Inconcert), que nos lleva a la "trinchera" de la implementación real de IA. Nos explica cómo equilibrar la creatividad de los modelos generativos con el determinismo que exigen los procesos empresariales críticos. También desmonta mitos sobre la automatización total, destacando que el éxito real está en la agilidad y en una escalabilidad técnica robusta, y cómo construir agentes escalables cuando la demanda se dispara. Con Adolfo Corujo y ELAI, junto al equipo de expertos de LLYC y la UNED: Miguel Lucas, Julio Gonzalo, Roberto Carreras y Patricia Charro. Incluye las secciones: ¿AI también? (Ángela Ortega) y Pioneros de la IA (Margorieth Tejeira).

Nick Musica was running a CBD publisher when Google's May 2019 algorithm update wiped his traffic overnight—dropping from page 1 to oblivion. With four weeks until he'd need to fire his entire team, he made a decision that would never make it into a Harvard Business Review case study: quit with zero contracts lined up and figure it out as he went.AEO vs SEO: The Numbers Don't LieWhen answer engines drive 1% of traffic and traditional search drives 16%, where should your budget actually go? Nick dismantles the AEO hype with real traffic data and marketing mix strategy.The "Zero Contracts" Launch StrategyHow quitting his job with literally no clients lined up led to 60 billable hours per week within two weeks. His entire business plan: "I'm going to make this work."When SEO Becomes Your Business Model (The Risk)Why affiliate sites and publishers live and die by algorithm updates, and how to build a more resilient business that uses SEO as a channel, not a crutch.AI Content's Fatal FlawThe "vanilla problem" with AI-generated content and why it's creating a race to mediocrity in search results. Spoiler: Google can detect patterns.From SEO Consultant to Executive CoachThe Harrison Assessment revelation that changed everything, and why most "SEO problems" are actually organizational dysfunction in disguise.Nick's Website: https://nickmusica.comWebsite: https://jayhunt.socialAmplify Your Brand Community: https://www.skool.com/aybInstagram: @jayhuntofficialLinkedIn: /socialmediaspeakerTikTok: @jayhuntofficial

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training As a user, do you still use search engines or have completely defaulted to AI? How will this shift reshape the agency world? How will ads work when people are only getting the one answer they need? Most agency owners are still treating SEO like it's 2012 — optimizing keywords, buying backlinks, and praying to the Google gods. But search has already changed. People are asking AI for answers, not Googling for links. And if you want your agency or your personal brand to stay visible in this new era, the rules are completely different. Today's featured guest will unpack the shift from SEO to AEO and why most businesses are invisible to AI without even realizing it. Kasim Aslam is one of the world's leading voices on Answer Engine Optimization. He runs one of the largest AEO communities and leads a six person research team that has analyzed millions of AI citations to understand how large language models choose their sources. He is also the author of The AEO Blueprint and the founder of multiple companies, including a staffing agency, a mastermind, and AEO.co. Kasim has spent the past year deep in the trenches studying how AI crawlers gather, filter, and prioritize information. When it comes to AEO, nobody has more real data. In this episode, we'll discuss: SEO is over. Understanding AEO. Why brands may get lost in LLMs. The quiet Google change that just changed everything in AI citations. The future of ads. Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design, and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service. Why SEO Is No Longer Enough: The Rise of Answer Engine Optimization (AEO) To understand Answer Engine Optimization, we must first understand that, despite what some agencies may be saying, it is not the same as SEO. Traditional search engines prioritize links. That is why entire industries exist around buying them. In the world of LLMs, backlinks barely matter. The number one ranking factor for AI citations is schema markup. And only 12.4% of websites have clean, validated schema. In other words, nearly 90% of brands are invisible to AI crawlers, regardless of how strong their SEO is. Schema isn't just another optimization tactic. It is the visibility layer. It is the metadata that helps LLMs understand and categorize your content. If your schema is broken or missing, AI cannot reference you even if your content is excellent. This is the equivalent of having a beautiful storefront on a street no one can find. The second key is social mentions. In the same way SEO relied on links, AEO relies on people talking about you. For instance, a TikTok comment from someone in the agency industry saying Jason Swenk is their go-to agency guy counts as an authority signal. LLMs weigh these human mentions heavily. Finally, a lot of the nuances on AEO are changing every day, but Kasim has learned that the real key is building authority, long-form content. That along with clear schema and personal brand is the future of staying in the conversation. Why Personal Authority Beats Brand Authority in AI Search One of the biggest shifts Kasim highlights is that answer engines prefer individuals. A person can write a book, earn a PhD, share opinions, create content, develop mastery, and build authority in a way brands cannot. That means generalists are in trouble. If your expertise is scattered, AI won't know how to classify you and won't choose you as an authoritative answer. Meanwhile, someone who goes deep in a single topic becomes the preferred answer. It is a shift away from corporate brand authority and toward personal authority. Authority is not spread across a company anymore. It sits with people. Agencies that hide behind a brand name will lose visibility. Personal brands that plant a flag will win. For agency owners, this is huge. You do not need a bigger brand. You need clear expertise tied to a real person. This is exactly why Jason positions all the Agency Mastery content around him. Personalities thrive. Brands get lost. Where LLMs Get Their Data (and Why That Just Changed Overnight) Kasim's research revealed that 21 percent of all AI citations once came from Reddit. YouTube followed at 18.8 percent. These platforms had deep context and raw human conversation, which LLMs love. Then Google quietly changed everything. Twenty two days before the interview, Google cut off 90% of the internet from AI crawlers by reducing search results from hundreds to ten. Because LLMs rely on deep search results (not the top ten), reducing the searchable depth limits the information AI can access - removing platforms like Reddit from the AI training pipeline. AI tools rely heavily on these deeper results for nuance. By limiting access, Google essentially removed Reddit and other community based sites from the AI food chain. This change sent shockwaves through stock prices and visibility, and most people never noticed. Google is protecting the content needed to train AI because only two organizations truly own the global knowledge graph: Google and Amazon. OpenAI and the rest are crawling, not casing, the internet, which means they operate at a major disadvantage. Google is playing statecraft. And according to Kasim, Google will win the AI race. The Rise of Screenless Search and Voice-Driven Results According to Kasim, we are quickly moving toward a screenless world. Eric Schmidt has said the screenless future is years away, not decades. And the younger generation is already there. Over 55 percent of people under 25 use voice instead of text. Voice queries require different markup, structure, and formatting, and only 0.3 percent of websites use voice schema. Meanwhile, 65 percent of all searches end in zero clicks. People are asking, getting an answer, and moving on. That number does not even include the people who have stopped using search altogether and have already shifted to answer engines. This means your future website is not for your audience. It is for AI. Kasim is rebuilding his personal site in Notion because he believes CSS-light, simple, stripped down sites will perform better for AI ingestion. We are entering a world where content is created for machines first and humans last. How Google Gemini Is Rewriting the Future of Advertising Here is a wild data point. When Kasim set up new Chromebooks for his kids, he discovered the default search engine was not Google. It was Gemini. Google owns Chrome. Google owns Chromebooks. Yet they replaced its primary revenue driver on its own device with a product that currently has no ads. This tells you where the company is headed. They are rebuilding a new knowledge graph optimized for answer engines, while competitors still reply on the old search-oriented graph. And the future ad model will be nothing like what agencies grew up on. If one answer becomes the default experience, where do ads go? How are they shown? What are users willing to tolerate? And will businesses have to give away deep content to earn visibility the same way early YouTubers and bloggers did? These questions will reshape the entire lead generation ecosystem. Data, Moats, and the K-Shaped Economy The people who win in this new world are those who own data. Not tool access or workflows. Data. Custom GPTs, custom models, and proprietary knowledge bases become your moat. We are entering a K-shaped economy. Twenty percent of people and businesses will become unstoppable because their productivity will outpace demand. Eighty percent will fall to zero. The middle disappears. That means agency owners must adapt, evolve, and lean into deep expertise. Vibe coding (the rapid, exploratory use of AI tools) and no code platforms are accelerating this divide. Kasim's team recreated a software that normally costs ten thousand a year in a weekend. Entire SaaS categories are about to be wiped out. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

In the latest episode of the Whole Whale Podcast, hosts George and Nick reflect on the transformative themes that shaped the nonprofit sector in 2025. With a focus on AI's impact, they explore how answer engine optimization (AEO) has redefined nonprofit discovery and engagement. AI's rapid adoption has led to decreased organic traffic for nonprofits, necessitating strategic pivots in content and donor engagement. George highlights a significant increase in AI-generated content, with Whole Whale producing nearly a million words daily. This shift underscores the need for nonprofits to establish internal AI policies and balance AI use with human oversight to maintain ethical standards and foster innovation. Nick introduces the "crawl, walk, run" framework, guiding nonprofits in adopting AI responsibly. He emphasizes the importance of maintaining human expertise and authority in an AI-saturated world, urging organizations to focus on quality over quantity in content creation. The episode also revisits key rants from 2025, including Microsoft's controversial changes to its nonprofit grant program and GoFundMe's unauthorized creation of shadow donation pages for nonprofits. These challenges highlight the importance of maintaining autonomy and control over nonprofit branding and fundraising. Looking ahead to 2026, George and Nick advise nonprofits to prioritize strategic use of AI, leveraging high-quality intelligence tokens to amplify impact while avoiding the pitfalls of AI-generated "slop." They stress the importance of creating original, authoritative content that reflects an organization's mission and expertise. As they close the episode, George and Nick express optimism for 2026, anticipating renewed energy and opportunities for nonprofits amidst upcoming midterms and sector transformations.

In the latest episode of the Whole Whale Podcast, hosts George and Nick reflect on the transformative themes that shaped the nonprofit sector in 2025. With a focus on AI's impact, they explore how answer engine optimization (AEO) has redefined nonprofit discovery and engagement. AI's rapid adoption has led to decreased organic traffic for nonprofits, necessitating strategic pivots in content and donor engagement. George highlights a significant increase in AI-generated content, with Whole Whale producing nearly a million words daily. This shift underscores the need for nonprofits to establish internal AI policies and balance AI use with human oversight to maintain ethical standards and foster innovation. Nick introduces the "crawl, walk, run" framework, guiding nonprofits in adopting AI responsibly. He emphasizes the importance of maintaining human expertise and authority in an AI-saturated world, urging organizations to focus on quality over quantity in content creation. The episode also revisits key rants from 2025, including Microsoft's controversial changes to its nonprofit grant program and GoFundMe's unauthorized creation of shadow donation pages for nonprofits. These challenges highlight the importance of maintaining autonomy and control over nonprofit branding and fundraising. Looking ahead to 2026, George and Nick advise nonprofits to prioritize strategic use of AI, leveraging high-quality intelligence tokens to amplify impact while avoiding the pitfalls of AI-generated "slop." They stress the importance of creating original, authoritative content that reflects an organization's mission and expertise. As they close the episode, George and Nick express optimism for 2026, anticipating renewed energy and opportunities for nonprofits amidst upcoming midterms and sector transformations.

12 月 3 日，蓝箭航天自主研制的朱雀三号可重复使用运载火箭迎来首飞：二级成功进入预定轨道，一级回收在最后阶段遗憾失利，但整体飞行已是中国商业航天在「回收复用」道路上的一次关键跨越。朱雀三号从设计之初就对标 SpaceX 的猎鹰 9 号，采用相似的两级构型，并且首飞即挑战回收，同时在推进剂和材料上选择了液氧甲烷与不锈钢这条更偏向高频复用的技术路线。 本期节目我们邀请到 蓝箭航天朱雀三号总体副总师董锴，从一线工程师视角，系统拆解这次首飞任务的真实得失，另外我们也深入讨论了为什么中国的可回收火箭普遍走向“猎鹰 9 构型”，朱雀三号此次回收究竟难在何处，以及可重复使用火箭对中国商业航天未来意味着什么。 本期人物 董锴 蓝箭航天朱雀三号可复用火箭型号副总师 Yaxian，「科技早知道」主播 主要话题 [02:37] 朱雀三号是一型什么样的火箭？ - 中大型两级液体火箭，液氧甲烷推进剂 - 从立项之初就以“可重复使用”为第一目标 - 「青春版」vs. 「完全体」，两者差在哪？ [05:13] 朱雀三号是「国产猎鹰 9」吗？ - 国内多数可回收火箭选择了与猎鹰 9 相似的工程构型 - 这是基于工程验证后的“合理性选择”，而非简单模仿 - 猎鹰 9 是目前唯一经过长期运营验证的可复用火箭标杆 [10:24] 这次首飞在工程上是如何打分的？ - 入轨和回收是两套独立评定标准，并非单选题 - 回收标准非常直接：是否稳定立住并保持一分钟 [19:33] 为什么选择液氧甲烷 + 不锈钢这条路线？ - 工程上不存在“先进或落后”，只有是否服务于目标 - 关键考量是降低维护需求、提高复用频率 - 相比物料成本，工程师更在意时间成本 [38:33] 一级回收全过程是如何设计的？难点在哪？ - 分离后依次经历 80km 减速点火、气动控制、4km 着陆点火 - 栅格舵与边条翼用于气动段姿态与攻角控制 - 着陆阶段采用五台发动机序列点火，为首飞保留冗余 [52:26] 商业化与下一步：朱雀三号接下来怎么走？ - 可复用火箭的核心价值在于放大单位时间投放能力 - 遥二飞行预计在明年，目标是完成回收 - 更长远方向是更高频次发射与更大级别的全复用火箭 往期节目 从筚路蓝缕到做大做强，从「星舰」进化史看中国商业航天的发展与未来 (https://www.xiaoyuzhoufm.com/episode/67111cacd9a875d5a9827c46) AEO 闭门会 在上一期节目中，我们收到了很多关于 AEO（Answer Engine Optimization） 的评论和反馈。 1 月 11 日， CES 结束之后我们将在硅谷组织一场小规模闭门交流，邀请在这个领域有较早探索的公司和产品以及AI平台与搜索引擎相关嘉宾一起来讨论： • AEO 在 AI 产品出海中的最新实践 • ChatGPT、Perplexity 等 AI 搜索入口的变化 • Reddit 等技术社区在 AEO 中的角色 • 当前阶段哪些方法有效，哪些值得谨慎对待 这将是一场以交流和讨论为主的闭门会，如果你有兴趣参与，请通过下方链接填写报名表。 我们将根据报名情况 定向发出邀请。

Hanelore Dumitrache explains Answer Engine Optimization (AEO) and what bloggers must change now to stay visible in an AI driven search world. Hanelore is a food blogger, AI strategist, and founder of the tech startup Whimzi AI. She helps creators and businesses future-proof their work through innovative, human-centered AI solutions. Hanelore is also the creator of AEO Audits, a pioneering framework that teaches bloggers how to stay visible in AI-driven search. Her mission is to make AI approachable, practical, and genuinely exciting for everyone. Search has transformed and AI engines no longer rely on rigid keyword matching. Instead, they understand intent, context and entities in a way traditional SEO cannot cover alone. Hanelore breaks down AEO, the new optimization approach that helps search engines correctly interpret your content and surface it inside AI answers. She explains why bloggers are losing traffic, what AEO does differently, and the exact shifts you can begin making today to prepare your blog for the future of search. Key points discussed include: Search is now semantic and AI engines match meaning and intent, not keyword density. AEO complements SEO because you still need technical foundations, but now you must add clarity and entity based structure. Authority matters more than ever so your author profile, expertise and topical focus must be consistent across the web. Topic clusters build credibility and prevent AI from seeing your blog as scattered or unfocused. Clear structure fuels visibility because AI engines need concise definitions, strong headings and anchored explanations. FAQ blocks strengthen retrieval and short, direct answers boost your chances of being cited. Internal linking reinforces meaning and helps AI connect your content into a coherent knowledge graph. Early adopters win because AI models learn historically, rewarding blogs that begin optimizing now. Connect with Hanelore Dumitrache Website | Instagram

Who Owns Your Digital Empire? Protect & Value Your Invisible Assets Before You Sell Your BusinessWelcome to ValuationPodcast.com—your go-to resource for navigating the world of business growth and valuation. I'm Melissa Gragg, a financial mediator and business valuation expert in St. Louis, Missouri.In this episode, I sit down with Paige Wiest, CEO of Tree Ring Digital, to uncover one of the biggest blind spots business owners face today—digital asset ownership, continuity, and valuation.If you think “I know where my website is,” or “my marketing team handles that,” this conversation will open your eyes. Paige breaks down the hidden digital assets that can make or break your valuation, delay due diligence, trigger legal conflicts, or even destroy a deal entirely.We talk about:✔️ What digital assets actually are (it's far more than a website)✔️ Why owners lose control of their online presence without realizing it✔️ How digital chaos affects valuation, due diligence & post-transaction headaches✔️ Business continuity, digital continuity & avoiding operational breakdowns✔️ The rising importance of AEO (AI Engine Optimization)✔️ How small oversights—like a past employee's phone number—can cost you thousands⭐ 5 Key Takeaways1. Most business owners do NOT own or control all their digital assets. Logins, domains, hosting, ad accounts, social profiles, CRMs, and tools are often scattered, vendor-owned, or tied to former employees.2. Due diligence can break down without digital asset clarity. Buyers lose confidence when ownership is unclear—leading to retrades, lower valuations, or stalled deals.3. Digital continuity is as critical as operational continuity. If a vendor disappears or an employee leaves, businesses can lose access to websites, analytics, systems, or customer funnels.4. AI-driven search (AEO) will not replace SEO—but requires a clean, authoritative digital foundation. Without SEO fundamentals and trustworthy structured data, AEO strategies fall flat.5. Digital asset audits need to happen BEFORE going to market. Fixing gaps can take months (or legal battles), so owners should inventory and secure everything early.If you're preparing for a sale, planning expansion, or simply want to protect what you've built, this episode gives you the blueprint to regain control of your digital empire.Learn More & Download Paige's Digital Asset Protection Checklist:treeringdigital.com/valuationPaige Wiese (W-ee-s) is the founder and CEO of Tree Ring Digital, a top-ranked Denver-based marketing agency that develops high performance websites and digital marketing strategies for businesses nationwide. With 16 years of industry experience, Paige has seen companies and CEOs struggle to manage and maintain their assets through growth or transition. She hasrecently developed a proprietary digital asset management service to track and protect companies' over 200 data points. Paige is a dedicated speaker and mentor on the topics of brand protection and business growth.https://www.linkedin.com/in/paigewiese/https://www.treeringdigital.com/Connect with Melissa:Melissa Gragg  Expert testimony for financial and valuation issues  Bridge Valuation Partners, LLC  melissa@bridgevaluation.com  http://www.BridgeValuation.com  Cell: (314) 541-8163Support the show

Get our 10 AI prompts to dominate SEO & AEO: https://clickhubspot.com/mbc Is SEO more relevant than we thought? Ep. 385 Kipp, Kieran, and Ethan Smith, CEO of Graphite, dive into the data behind the real state of SEO, debunking the myths that SEO is dead and uncovering what's really changing with the rise of answer engine optimization. Learn more on whether LLMs are really overtaking search, how marketers should invest between SEO and AEO, and the most repeatable tactics to rank #1 on Google and show up in AI-generated answers. Mentions Ethan Smith https://www.linkedin.com/in/ethanls Graphite https://graphite.io/ Ahrefs https://ahrefs.com/ ChatGPT https://chatgpt.com/ Grok https://grok.com/ Claude https://claude.ai/ Perplexity https://www.perplexity.ai/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt We're creating our next round of content and want to ensure it tackles the challenges you're facing at work or in your business. To understand your biggest challenges we've put together a survey and we'd love to hear from you! https://bit.ly/matg-research Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/channel/UCGtXqPiNV8YC0GMUzY-EUFg  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@matgpod  Join our community https://landing.connect.com/matg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   If you love this show, please leave us a 5-Star Review https://link.chtbl.com/h9_sjBKH and share your favorite episodes with friends. We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

If 2025 taught us anything, it's this: your clients aren't Googling you anymore. They're asking AI about you. And if the machine can't find you, you don't exist. That's why this replay is back, because it became the episode everyone kept messaging me about. In this conversation, we break down the real shift happening right now: search engines are turning into answer engines. And if you don't optimize for that shift, AI will skip you the same way people skip ads. Inside this episode, you'll learn how AEO (Answer Engine Optimization) works and how service providers can use it to get discovered, recommended, and chosen — even if you don't have a tech team, even if SEO always felt like a chore, and even if the internet feels louder than ever. What you'll hear in this episode: ★ Why Google-first SEO is no longer enough, and what actually drives discovery now. ★ How ChatGPT, Perplexity, Claude, and Siri pull your information (or fail to). ★ The one mistake that makes service businesses invisible to AI. ★ How to make your brand consistent and repeatable across every platform, the foundation of AEO. ★ Why your Instagram posts now show up on Google and what that means for your content. ★ How to use schema, hidden questions, and metadata to help AI understand your expertise. ★ How to reshape your website, bios, descriptions, and podcast notes so AI recognizes you as the answer. ★ Simple daily actions to train AI tools to find you, summarize you, and recommend you. This is not about hacks. This is about staying discoverable in a world that now gives one answer instead of ten pages of search results.

Your brand isn't losing to competitors, it's getting ghosted by the algorithm. As AI eats search, the “spray and pray” content playbook turns invisible. Are you training the models…or training your team to burn cash?This week, Jenna Hannon, Founder & CEO of Hatter, drops a State of the Union that B2B marketers need to hear: SEO isn't dead, AEO (AI Engine Optimization) is here and lazy tactics are DOA. We unpack why LLMs reward actual marketing (crisp messaging, specific content, real PR) and punish AI-slop; how to merge SEO, AEO, and content into one motion instead of siloed teams; and why product marketing is the new growth core powering every channel.We also get into:SEO → AEO: Same inputs, new outputs and the extra layers that matter now.Quality > quantity: Why “programmatic, no-human” content craters (and how Google/LLMs sniff it out).Metrics that matter: Beyond traffic to AI visibility, context, and link-back citations that convert.Org design for 2026: Product marketing as the engine; experts in the loop; PR that teaches LLMs.

The ground beneath the digital marketing industry is shifting. For decades, the mantra was simple: optimize for traffic, measure clicks, and track conversions. But with the rise of Generative AI, Large Language Models (LLMs), and Answer Engines, that rulebook is obsolete. In this powerful episode, I sit down with Joe Doveton to discuss the urgent reality facing every brand that relies on web traffic.We dive into the phenomenon Joe calls the "Crocodile Mouth", the unsettling visual trend where brands maintain high search impressions but see clicks vanish, a direct result of zero-click searches. With the proliferation of platforms like TikTok, Reddit, and various generative engines, we discuss why the Google monopoly on the customer journey is over, and how users can now move from the awareness stage to purchasing a product without ever visiting a Google property. This episode is a wake-up call for marketers still clinging to outdated KPIs.Joe introduces the new alphabet soup of optimization, GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), and LLMO (Large Language Model Optimization). Crucially, we explore what this means for your analytics. If traffic and conversion rate are "lousy metrics", what should you measure? Joe reveals emerging metrics like Visibility within LLMs and competitive positioning. Most importantly, we agree that this "Wild West" era is finally killing all the outdated SEO hacks, forcing brands back to the core long-term strategy: writing useful content and focusing on the customer experience.About the GuestJoe Doveton is an experienced digital strategist, consultant, and speaker focused on the intersection of AI, search, and customer experience. With a background that includes working in advertising and a deep understanding of Conversion Rate Optimization (CRO), Joe is now pioneering tools and strategies for the Generative Engine Optimization (GEO) space. He is the founder of GEO Jet Pack, a platform designed to extract and visualize entities from content to help brands gain visibility in LLM responses - a critical new metric for the AI era.What You'll LearnThe difference between traditional SEO and the new acronyms: GEO, AEO, and LLMO.What the "Crocodile Mouth" is and why it confirms the end of the reliance on clicks.Why the old marketing KPIs, specifically web traffic and conversion rate—are now "lousy metrics" for measuring success.The new metrics emerging for the middle of the funnel, such as Visibility within LLMs and competitive position within prompt responses.Why the entire AI shift proves that long-term SEO success is still about being useful, interesting, and trustworthy (EEAT).Why the current AI era is killing all the old SEO hacks and discouraging tactics like content farming.How brands like Google are undermining their own profitable ad business by integrating AI Overviews.The vision of the Semantic Web and why the current structure of websites is inherently ill-suited for machine consumption.Guest Contact:Joe Doveton's websiteJoe Doveton on LinkedIn---If you enjoyed the episode, please share it with a friend!

AI is evolving fast — and the restoration industry is feeling the impact. In this episode, David Grove, from BYLT Restoration, joins Michelle to break down the most practical, business-ready AI tools restorers should be using right now.They dive into the latest updates from ChatGPT, OpenAI's Sora 2, and Google Gemini, plus the real-world workflows these tools can automate. From email scheduling and dictation to contract drafting, custom GPTs, project management, and company-trained models, this episode shows how AI can streamline your ops without the hype.They also unpack the risks of the AI bubble, the role of AEO and SEO in discoverability, and why training AI on your own company data is now essential.

AI is evolving fast — and the restoration industry is feeling the impact. In this episode, David Grove, from BYLT Restoration, joins Michelle to break down the most practical, business-ready AI tools restorers should be using right now.They dive into the latest updates from ChatGPT, OpenAI's Sora 2, and Google Gemini, plus the real-world workflows these tools can automate. From email scheduling and dictation to contract drafting, custom GPTs, project management, and company-trained models, this episode shows how AI can streamline your ops without the hype.They also unpack the risks of the AI bubble, the role of AEO and SEO in discoverability, and why training AI on your own company data is now essential.

In this season-finale episode of The Burleson Box, Dustin Burleson is joined by longtime collaborator and digital marketing pioneer Jimmy Nicholas for a wide-ranging conversation on how artificial intelligence is actively reshaping dentistry and orthodontics.Their story goes back more than a decade to the Dan Kennedy GKIC days, a marketer-of-the-year competition, and the early experiments that turned Google into one of Dustin's top sources of new patients. Now, after selling his agency and sitting out a non-compete, Jimmy returns with a new focus on AI, compliance, automation, and what he calls “simple alignment” across marketing, operations, and team communication.This conversation moves well past surface-level AI hype. Dustin and Jimmy unpack what is actually working right now inside real practices, what most doctors still misunderstand, and where real opportunity exists heading into 2026.You will hear why Answer Engine Optimization, or AEO, may soon matter more than traditional SEO, how AI is changing follow-up systems, phone automation, and patient communication, and why most medical and dental websites are still invisible to large language models. They also discuss the risks that come with careless AI use, including HIPAA violations, hallucinated data, and unreliable financial calculations.This episode is essential listening for any practice owner who wants to stay competitive, protect their team's time, and apply AI with discipline rather than guesswork.Resources Mentioned:AI Beta Group (Free Community)Wealthy Entrepreneur Strategy Consultations ***The Burleson Box is brought to you by OrthoFi:Grow More. Worry Less. Simplify Your Practice with OrthoFi.Did you know that practices using OrthoFi start more patients and reduce financial barriers without adding complexity to their operations? With OrthoFi, you can simplify the insurance and patient financial process, streamline collections, and free up your team to focus on patient care. OrthoFi combines smart technology with patient-friendly payment solutions to help you start more treatment, improve cash flow, and deliver a better overall experience. Patients love the flexibility. Practices love the results.Take advantage of a platform built specifically for orthodontists and dental specialists—helping you manage everything from eligibility verification to automated payment processing in one easy-to-use system. Grow your starts. Increase your efficiency. And reduce the headaches of insurance and collections with OrthoFi.Want to learn more? Schedule a demo today and see how OrthoFi can help your practice thrive.Click below to learn more:OrthoFi.com*** Go Premium: Members get early access, ad-free episodes, hand-edited transcripts, exclusive study guides, special edition books each quarter, powerpoint and keynote presentations and two tickets to Dustin Burleson's Annual Leadership Retreat.http://www.theburlesonbox.com/sign-up Stay Up to Date: Sign up for The Burleson Report, our weekly newsletter that is delivered each Sunday with timeless insight for life and private practice. Sign up here:http://www.theburlesonreport.com Follow Dustin Burleson, DDS, MBA at:http://www.burlesonseminars.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of The Ross Simmonds Show, Ross dives deep into one of the most fundamental marketing shifts of our time — the emergence of Generative Engine Optimization (GEO). As AI-powered discovery tools like ChatGPT, Perplexity, Google AI Overviews, Reddit Answers, TikTok Search, and more evolve, traditional SEO strategies are no longer enough. Ross unpacks how marketers need to rethink content creation, distribution, and visibility across platforms, focusing not just on ranking, but on being cited, trusted, and remembered. Whether you're an SEO pro, a content marketer, or someone navigating the changing digital landscape, this episode offers a powerful perspective on where discovery is heading and how you can position your brand for success. Key Takeaways and Insights: 1. The Shift from Traditional SEO to GEO - The discovery journey is changing — not all search begins (or ends) on Google. - GEO (Generative Engine Optimization) is not just about keywords and backlinks, but about engaging with AI-powered platforms like ChatGPT, Claude, Perplexity, You.com, Reddit, TikTok, YouTube, and more. - Terminology wars (AISEO, AEO, GEO) are less important than understanding the strategic implications of the shift. 2. Where AI Discovery is Happening - AI overviews and LLMs (large language models) pull data from varied sources, not just webpages — Reddit, YouTube, TikTok, and UGC are key. - Clicking is becoming less important as AI agents deliver answers before users even leave the platform. 3. YouTube's Role in GEO - YouTube isn't just social media — it's the second-biggest search engine and a major citation source for LLMs. - Talking head videos, product comparisons, and keyword-aligned titles matter more than ever. - A poor YouTube strategy (short, shallow clips) means your audience never finds you. 4. Listicles, PR, and Affiliate Strategy in the AI Age - AI often weighs citations based on list ranking — being #8 consistently limits visibility. - Your affiliate and digital PR strategies must now consider how high you appear on listicles that AI sources from. - Move beyond backlinks to placements, citations, and brand mentions across high-impact domains. 5. Tailoring Content for Audience-Specific Queries - LLMs recognize nuances: “best for beginners” vs. “best for enterprise” matters. - Brands should create multiple landing pages tailored to different personas (as long as it's high quality and not duplicated). 6. The Difference Between SEO and GEO - GEO includes SEO, but it's broader — it encompasses TikTok search, Instagram Reels, Reddit, and any platform with discovery. - GEO is about visibility in AI-powered interfaces, not just search rankings. 7. The Predictive Future of Discovery - Personalized AI results are here: Google's AI Overviews may use Gmail, Calendar, Chrome history to shape responses. - The future consumer journey might completely bypass websites and search engines. Resources & Tools:

YouTubeとSpotifyでビデオポッドキャスト公開中＜目次＞(0:00) これまでのおさらい(3:17) SEOとAEO（Answer Engine Optimization）(6:05) SNSの検索エンジンもっと初期から強化してたら？(9:09) AEO登場によりコンテンツはどう変わるか(15:50) インターネットはお互いリファレンスし合うソーシャルなもの(18:55) ハイパーリンクの危機(33:15) エンドユーザーはどう影響があるのか？(40:40) 広告モデルが果たして正しいのか＜About Off Topic＞Podcast:Apple - https://apple.co/2UZCQwzSpotify - https://spoti.fi/2JakzKmOff Topic Clubhttps://note.com/offtopic/membershipX - https://twitter.com/OffTopicJP草野ミキ:https://twitter.com/mikikusanohttps://www.instagram.com/mikikusano宮武テツロー: https://twitter.com/tmiyatake1

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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the present and future of intellectual property in the age of AI. You will understand why the content AI generates is legally unprotectable, preventing potential business losses. You will discover who is truly liable for copyright infringement when you publish AI-assisted content, shifting your risk management strategy. You will learn precise actions and methods you must implement to protect your valuable frameworks and creations from theft. You will gain crucial insight into performing necessary due diligence steps to avoid costly lawsuits before publishing any AI-derived work. Watch now to safeguard your brand and stay ahead of evolving legal risks! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-ai-future-intellectual-property.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about the present and future of intellectual property in the age of AI. Now, before we get started with this week’s episode, we have to put up the obligatory disclaimer: we are not lawyers. This is not legal advice. Please consult with a qualified legal expert practitioner for advice specific to your situation in your jurisdiction. And you will see this banner frequently because though we are knowledgeable about data and AI, we are not lawyers. We can, if you’d like, join our Slack group at Trust Insights, AI Analytics for Marketers, and we can recommend some people who are lawyers and can provide advice depending on your jurisdiction. So, Katie, this is a topic that you came across very recently. What’s the gist of it? Katie Robbert: So the backstory is I was sitting on a panel with an internal team and one of the audience members. We were talking about generative AI as a whole and what it means for the industry, where we are now, so on, so forth. And someone asked the question of intellectual property. Specifically, how has intellectual property management changed due to AI? And I thought that was a great question because I think that first and foremost, intellectual property is something that perhaps isn’t well understood in terms of how it works. And then I think that there’s we were talking about the notion of AI slop, but how do you get there? Aeo, geo, all your favorite terms. But basically the question is around: if we really break it down, how do I protect the things that I’m creating, but also let people know that it’s available? And that’s. I know this is going to come as a shocker. New tech doesn’t solve old problems, it just highlights it. So if you’re not protecting your assets, if you’re not filing for your copyrights and your trademarks and making sure that what is actually contained within your ecosystem of intellectual property, then you have no leg to stand on. And so just putting it out there in the world doesn’t mean that you own it. There are more regulated systems. They cost money. Again, as Chris mentioned, we’re not lawyers. This is not legal advice. Consult a qualified expert. My advice as a quasi creator is to consult with a legal team to ask them the questions of—let’s say, for example—I really want people to know what the 5P framework is. And the answer, I really do want that, but I don’t want to get ripped off. I don’t want people to create derivatives of it. I don’t want people to say, “Hey, that’s a really great idea, let me create my own version based on the hard work you’ve done,” and then make money off of you where you could be making money from the thing that you created. That’s the basic idea of this intellectual property. So the question that comes up is if I’m creating something that I want to own and I want to protect, but I also want large language models to serve it up as a result, or a search engine to serve it up as a result, how do I protect myself? Chris, I’m sure this is something that as a creator you’ve given a lot of thought to. So how has intellectual property changed due to AI? Christopher S. Penn: Here’s the good and bad news. The law in many places has not changed. The law is pretty firm, and while organizations like the U.S. Copyright Office have issued guidance, the actual laws have not changed. So let’s delineate five different kinds of mechanisms for this. There are copyrights which protect a tangible expression of work. So when you write a blog post, a copyright would protect that. There are patents. Patents protect an idea. Copyrights do not protect ideas. Patents do. Patents protect—like, hey, here is the patent for a toilet paper holder. Which by the way, fun fact, the roll is always over in the patent, which is the correct way to put toilet paper on. And then there are registrations. So there’s trademark, registered mark, and service mark. And these protect things like logos and stuff, brand names. So the 5Ps, for example, could be a service mark. And again, contact your lawyer for which things you need to do. But for example, with Trust Insights, the Trust Insights logo is something that is a registered mark, and the 5Ps are a service mark. Both are also protected by copyright, but they are different. And the reason they’re different is because you would press different kinds of lawsuits depending on it. Now this is also, we’re speaking from the USA. Every country’s laws about copyright are different. Now a lot of countries have signed on to this thing called the Berne Convention (B E R N, I think named after Switzerland), which basically tries to make common things like copyright, trademark, etc., but it’s still not universal. And there are many countries where those definitions are wildly different. In the USA under copyright, it was the 1978 Copyright Act, which essentially says the moment you create something, it is copyrighted. You would file for a copyright to have additional documentation, like irrefutable proof. This is the thing I worked on with my lawyers to prove that I actually made this thing. But under US law right now, the moment you, the human, create something, it is copyrighted. Now as this applies to AI, this is where things get messy. Because if you prompt Gemini or ChatGPT, “Write me a blog post about B2B marketing,” your prompt is copyrightable; the output is not. It was a case in 2018, *Naruto vs. Slater*, where a chimpanzee took a selfie, and there was a whole lawsuit that went on with People for the Ethical Treatment of Animals. They used the image, and it went to court, and the Supreme Court eventually ruled the chimp did the work. It held the camera, it did the work even though it was the photographer’s equipment, and therefore the chimp would own the copyright. Except chimps can’t own copyright. And so they established in that court case only humans can have copyright in the USA. Which means that if you prompt ChatGPT to write you a blog post, ChatGPT did the work, you did not. And therefore that blog post is not copyrightable. So the part of your question about what’s the future of intellectual property is if you are using AI to make something net new, it’s not copyrightable. You have no claim to intellectual property for that. Katie Robbert: So I want to go back to I think you said the 1978 reference, and I hear you when you say if you create something and put it out there, you own the copyright. I don’t think people care unless there is some kind of mark on it—the different kinds of copyright, trademark, whatever’s appropriate. I don’t think people care because it’s easy to fudge the data. And by that I mean I’m going to say, I saw this really great idea that Chris Penn put out there, and I wish I had thought of it first. So I’m going to put it out there, but I’m going to back date my blog post to one day before. And sure there are audit trails, and you can get into the technical, but at a high level it’s very easy for people to say, “No, I had that idea first,” or, “Yeah, Chris and I had a conversation that wasn’t recorded, but I totally gave him that idea. And he used it, and now he’s calling copyright. But it’s my idea.” I feel unless—and again, I’m going to put this up here because this is important: We’re not lawyers. This is not legal advice—unless you have some kind of piece of paper to back up your claim. Personally, this is one person’s opinion. I feel like it’s going to be harder for you to prove ownership of the thing. So, Chris, you and I have debated this. Why are we paying the legal team to file for these copyrights when we’ve already put it out there? Therefore, we own it. And my stance is we don’t own it enough. Christopher S. Penn: Yes. And fundamentally—Cary Gorgon said this not too long ago—”Write it or you’ll regret it.” Basically, if it isn’t written down, it never happens. So the foundation of all law, but especially copyright law, is receipts. You got to have receipts. And filing a formal copyright with the Copyright Office is about the strongest receipt you can have. You can say, my lawyer timestamped this, filed this, and this is admissible in a court of law as evidence and has been registered with a third party. Anything where there is a tangible record that you can prove. And to your point, some systems can be fudged. For example, one system that is oddly relatively immutable is things like Twitter, or formerly Twitter. You can’t backdate a tweet. You can edit a tweet up to an hour if you create it, but you can’t backdate it after that. You just have to delete it. There are sites like archive.org that crawl websites, and you can actually submit pages to them, and they have a record. But yes, without a doubt, having a qualified third party that has receipts is the strongest form of registration. Now, there’s an additional twist in the world of AI because why not? And that is the definition of derivative works. So there are 2 kinds of works you can make from a copyrighted piece of work. There’s a derivative, and then there’s a transformative work. A derivative work is a work that is derived from an initial piece of property, and you can tell there’s no reputation that is a derived piece of work. So, for example, if I take a picture of the Mona Lisa and I spray paint rabbit ears on it, it’s still pretty clearly the Mona Lisa. You could say, “Okay, yeah, that’s definitely derived work,” and it’s very clear that you made it from somebody else’s work. Derivative works inherit the copyright of the original. So if you don’t have permission—say we have copyrighted the 5Ps—and you decide, “I’m going to make the 6Ps and add one more to it,” that is a derived work and it inherits the copyright. This means if you do not get Trust Insights legal permission to make the 6Ps, you are violating intellectual properties, and we can sue you, and we will. The other form is a transformative work, which is where a work is taken and is transformed in such a way that it cannot be told what the original work was, and no one could mistake it for it. So if you took the Mona Lisa, put it in a paper shredder and turned it into a little sculpture of a rabbit, that would be a transformative work. You would be going to jail by the French government. But that transformed work is unrecognizable as the Mona Lisa. No one would mistake a sculpture of a rabbit made out of pulp paper and canvas from the original painting. What has happened in the world of AI is that model makers like ChatGPT, OpenAI—the model is a big pile of statistics. No one would mistake your blog post or your original piece of art or your drawing or your photo for a pile of statistics. They are clearly not the same thing. And courts have begun to rule that an AI model is not a violation of copyright because it is a transformative work. Katie Robbert: So let’s talk a little bit about some of those lawsuits. There have been, especially with public figures, a lot of lawsuits filed around generative models, large language models using “public domain information.” And this is big quotes: We are not lawyers. So let’s say somebody was like, “I want to train my model on everything that Chris and Katie have ever done.” So they have our YouTube channel, they have our LinkedIn, they have our website. We put a lot of content out there as creators, and so they’re going to go ahead and take all of that data, put it into a large language model and say, “Great, now I know everything that Katie and Chris know. I’m going to start to create my own stuff based on their knowledge block.” That’s where I think it’s getting really messy because a lot of people who are a lot more famous and have a lot more money than us can actually bring those lawsuits to say, “You can’t use my likeness without my permission.” And so that’s where I think, when we talk about how IP management is changing, to me, that’s where it’s getting really messy. Christopher S. Penn: So the case happened—was it this June 2025, August 2020? Sometime this summer. It was *Bart’s versus Anthropic*. The judge, it was District Court of Northern California, ruled that AI models are transformative. In that case, Anthropic, the makers of Claude, was essentially told, “Your model, which was trained on other people’s copyrighted works, is not a violation of intellectual property rights.” However, the liability then passes to the user. So if I use Claude and I say, “Let’s write a book called *Perry Hotter* about a kid magician,” and I publish it, Anthropic has no legal liability in this case because their model is not a representation of *Harry Potter*. My very thinly disguised derivative work is. And the liability as the user of the model is mine. So one of the things—and again, our friend Cary Gorgon talked about this at her session at Marketing Prosporum this year—you, as the producer of works, whether you use AI or not, have an obligation, a legal obligation, to validate that you are not ripping off somebody else. If you make a piece of artwork and it very strongly resembles this particular artist, Gemini or ChatGPT is not liable, but you are. So if you make a famously oddly familiar looking mouse as a cartoon logo on your stationary, a lawyer from Disney will come by and punch you in the face, legally speaking. And just because you used AI does not indemnify you from violating Disney’s copyrights. So part of intellectual property management, a key step is you got to do your homework and say, “Hey, have I ripped off somebody else?” Katie Robbert: So let’s talk about that a little more because I feel like there’s a lot to unpack there. So let’s go back to the example of, “Hey, Gemini, write me a blog post about B2B marketing in 2026.” And it writes the blog post and you publish it. And Andy Crestedina is, “Hey, that’s verbatim, word for word what I said,” but it wasn’t listed as a source. And the model doesn’t say, “By the way, I was trained on all of Andy Crestedina’s work.” You’re just, “Here’s a blog post that I’m going to use.” How do users—I hear you saying, “Do your homework,” do due diligence, but what does that look like? What does it look like for a user to do that due diligence? Because it’s adding—rightfully so—more work into the process to protect yourself. But I don’t think people are doing that. Christopher S. Penn: People for sure are not doing that. And this is where it becomes very muddy because ideas cannot be copyrighted. So if I have an idea for, say, a way to do requirements gathering, I cannot copyright that idea. I can copyright my expression of that idea, and there’s a lot of nuance for it. The 5P framework, for example, from Trust Insights, is a tangible expression of the idea. We are copywriting the literal words. So this is where you get into things like plagiarism. Plagiarism is not illegal. Violation of copyright is. Plagiarism is unethical. And in colleges, it’s a violation of academic honesty codes. But it is not illegal because as long as you’re changing the words, it is not the same tangible fixed expression. So if I had the 5T framework instead of the 5P framework, that is plagiarism of the idea. But it is not a violation of the copyright itself because the copyright protects the fixed expression. So if someone’s using a 5P and it’s purpose, people, process, platform, performance, that is protected. If it’s with T’s or Z’s or whatever that is, that’s a harder thing. You’re gonna have a longer court case, whereas the initial one, you just rip off the 5Ps and call it yours, and scratch off Katie Robbert and put Bob Jones. Bob’s getting sued, and Bob’s gonna lose pretty quickly in court. So don’t do that. So the guaranteed way to protect yourself across the board is for you to start with a human originated work. So this podcast, for example, there’s obviously proof that you and I are saying the words aloud. We have a recording of it. And if we were to put this into generative AI and turn it into a blog post or series of blog posts, we have this receipt—literally us saying these words coming out of our mouths. That is evidence, it’s receipts, that these are our original human led thoughts. So no matter how much AI we use on this, we can show in a court, in a lawsuit, “This came from us.” So if someone said, “Chris and Katie, you stole my intellectual property infringement blog post,” we can clearly say we did not. It just came from our podcast episode, and ideas are not copyrightable. Katie Robbert: But I guess that goes—the question I’m asking is—let’s say, let’s plead ignorant for a second. Let’s say that your shiny-faced, brand new marketing coordinator has been asked to write a blog post about B2B marketing in 2026, and they’re like, “This is great, let me just use ChatGPT to write this post or at least get a draft.” And they’re brand new to the workforce. Again, I’m pleading ignorant. They’re brand new to the workforce, they don’t know that plagiarism and copyright—they understand the concepts, but they’re not thinking about it in terms of, “This is going to happen to me.” Or let’s just go ahead and say that there’s an entitled senior executive who thinks that they’re impervious to any sort of bad consequences. Same thing, whatever. What kind of steps should that person be taking to ensure that if they’re using these large language models that are trained on copyrighted information, they themselves are not violating copyright? Is there a magic—I know I’m putting you on the spot—is there a magic prompt? Is there a process? Is there a tool that someone could use to supplement to—”All right, Bob Jones, you’ve ripped off Katie 5 times this year. We don’t need any more lawsuits. I really need you to start checking your work because Katie’s going to come after you and make sure that we never work in this town again.” What can Bob do to make sure that I don’t put his whole company out? Christopher S. Penn: So the good news is there are companies that are mostly in the education space that specialize in detecting plagiarism. Turnitin, for example, is a well-known one. These companies also offer AI detectors. Their AI detectors are bullshit. They completely do not work. But they are very good and provenly good at detecting when you have just copied and pasted somebody else’s work or very closely to it. So there are commercial services, gazillions of them, that can detect basically copyright infringement. And so if you are very risk averse and you are concerned about a junior employee or a senior employee who is just copy/pasting somebody else’s stuff, these services (and you can get plugins for your blog, you can get plugins for your software) are capable of detecting and saying, “Yep, here’s the citation that I found that matches this.” You can even copy and paste a paragraph of the text, put it into Google and put it in quotes. And if it’s an exact copy, Google will find and say, “This is where this comes from.” Long ago I had a situation like this. In 2006, we had a junior person on a content team at the financial services company I was using, and they were of the completely mistaken opinion that if it’s on the internet, it is free to use. They copied and pasted a graphic for one of our blog posts. We got a $60,000 bill—$60,000 for one image from Getty Images—saying, “You owe us money because you used one of our works without permission,” and we had to pay it. That person was let go because they cost the company more than their salary, twice their salary. So the short of it is make sure that if you are risk averse, you have these tools—they are annual subscriptions at the very minimum. And I like this rule that Cary said, particularly for people who are more experienced: if it sounds familiar, you got to check it. If AI makes something and you’re like, “That sounds awfully familiar,” you got to check it. Now you do have to have someone senior who has experience who can say, “That sounds a lot like Andy, or that sounds a lot like Lily Ray, or that sounds a lot like Alita Solis,” to know that’s a problem. But between that and plagiarism detection software, you can in a court of law say you made best reasonable efforts to prevent that. And typically what happens is that first you’ll get a polite request, “Hey, this looks kind of familiar, would you mind changing it?” If you ignore that, then your lawyer sends a cease and desist letter saying, “Hey, you violated my client’s copyright, remove this or else.” And if you still ignore that, then you go to lawsuit. This is the normal progression, at least in the US system. Katie Robbert: And so, I think the takeaway here is, even if it doesn’t sound familiar, we as humans are ingesting so much information all day, every day, whether we realize it or not, that something that may seem like a millisecond data input into our brain could stick in our subconscious, without getting too deep in how all of that works. The big takeaway is just double check your work because large language models do not give a flying turkey if the material is copyrighted or not. That’s not their problem. It is your problem. So you can’t say, “Well, that’s what ChatGPT gave me, so it’s its fault.” It’s a machine, it doesn’t care. You can take heart all you want, it doesn’t matter. You as the human are on the hook. Flip side of that, if you’re a creator, make sure you’re working with your legal team to know exactly what those boundaries are in terms of your own protection. Christopher S. Penn: Exactly. And for that part in particular, copyright should scale with importance. You do not need to file a copyright for every blog post you write. But if it’s something that is going to be big, like the Trust Insights 5P framework or the 6C framework or the TRIPS framework, yeah, go ahead and spend the money and get the receipts that will stand up beyond reasonable doubt in a court of law. If you think you’re going to have to go to the mat for something that is your bread and butter, invest the money in a good legal team and invest the money to do those filings. Because those receipts are worth their weight in gold. Katie Robbert: And in case anyone is wondering, yes, the 5Ps are covered, and so are all of our major frameworks because I am super risk averse, and I like to have those receipts. A big fan of receipts. Christopher S. Penn: Exactly. If you’ve got some thoughts that you want to share about how you’re looking at intellectual property in the world of AI, and you want to share them, pop by our Slack. Go to Trust Insights AI Analytics for Marketers, where you and over 4,500 marketers are asking and answering each other’s questions every single day. And wherever you watch or listen to the show, if there’s a channel you’d rather have it instead, go to Trust Insights AI TI Podcast. You’ll find us in most of the places that fine podcasts are served. Thanks for tuning in, and we’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth and acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude, Dall E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources, which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

For years, we've been taught that SEO was the key to being found online, write the blogs, keep the website fresh, get your backlinks, and trust the process. But there's a new shift happening in real estate that most agents haven't caught onto yet.  AEO, or Answer Engine Optimization, is quietly becoming more powerful than traditional SEO. And it makes perfect sense. Buyers and sellers aren't searching the way they used to. They're asking full questions out loud into their phones, their cars, and their AI tools. They don't want links…they want answers.  AEO is built for exactly that. It rewards the agents who show up with real answers to real questions, not just blog posts stuffed with keywords. It's the reason some agents are suddenly popping up in AI overviews, even if their websites aren't the "best ranked." How do we set ourselves up for success with AEO? How can we take AI to the next level?  In this episode, I'm joined by digital marketing expert, StoryBrand Certified Guide, and the founder of Changescape Web, Ken Tucker.   We talk about what this shift means for real estate pros: why AEO is winning, how zero-click search is changing consumer behavior, and why some of the platforms we stopped paying attention to, like Yelp and Bing Places, are becoming essential again.   Things You'll Learn In This Episode  Yelp and Bing Places matter more than you think LLMs pull their local business data from platforms most agents ignore. What opportunities open up when our Yelp and Bing profiles are fully optimized and feeding the AI tools directly? Zero-click search is reshaping how people choose agents Consumers are getting everything they need in the AI overview, no clicks required. How do we stand out when the decision is made before they ever reach our sites? Your FAQs are the new fuel for visibility AI tools elevate the agents who answer specific buyer and seller questions clearly and consistently. How do we build a robust FAQ ecosystem? Speed-to-lead is being rewritten by AI phone systems. AI voice assistants respond instantly and book appointments before a human can even glance at their phone. How would this impact our conversion rates?   About the Guest Ken Tucker is a Fractional CMO and Marketing Solution Architect, StoryBrand Certified Guide, marketing expert, speaker, and President and Founder of Changescape Web. Changescape Web was founded in 2005. Many businesses struggle to be found online. Changescape Web builds websites that generate customers so their clients can grow and thrive. They specialize in digital marketing: marketing strategy, website design, search engine optimization (SEO), social media marketing, content marketing, lead generation, and marketing automation. To learn more, head to https://changescapeweb.com/ or follow @changescape on Instagram.    About Your Host Marki Lemons Ryhal is a ​​Licensed Managing Broker, REALTOR®, and avid volunteer.  She is a dynamic keynote speaker and workshop facilitator, both on-site and virtual; she's the go-to expert for artificial Intelligence, entrepreneurship, and social media in real estate. Marki Lemons Ryhal is dedicated to all things real estate, and with 25+ years of marketing experience, Marki has taught over 250,000 REALTORS® how to earn up to a 2682% return on their marketing dollars. Marki's expertise has been featured in Forbes, the Washington Post, Homes.com, and REALTOR® Magazine.   Subscribe, Rate & Review Check out this episode on our website, Apple Podcasts, or Spotify, and don't forget to leave a review if you like what you heard. Your review feeds the algorithm, so our show reaches more people. Thank you!     

Is your business ready for a world where 50% of search queries involve AI?The digital landscape is shifting fast. We are moving from a world of traditional Google rankings to a "Zero-Click" environment dominated by AI Overviews, ChatGPT, and Voice Search. If you are still relying solely on old-school SEO playbooks, your content is at risk of becoming invisible.In this episode I break down the confusion between AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). I reveal why these aren't just buzzwords, but the two sides of the same coin that will determine your digital visibility in 2025 and beyond.Tune in to discover:The Critical Difference: What separates AEO (Extraction) from GEO (Synthesis) and why you need a hybrid strategy to win at both.The "Zero-Click" Reality: How to measure success when users get their answers without ever visiting your website (and why that actually builds more brand authority).5 Foundational Strategies: The specific steps you can take today—from "Answer-Focused Content" to "Entity Optimization"—to make your brand machine-readable and trustworthy.The Local SEO Pivot: Why NAP consistency and Google Business Profiles are non-negotiable for voice search visibility.Actionable Checklist: 7 immediate steps to audit your content and future-proof your digital marketing strategy.Whether you are a marketing professional, an entrepreneur, or a local business owner, this episode provides the roadmap you need to become the trusted source that AI cites and customers trust.Key Highlights:Intro: The confusion between AEO and GEO.Why the old SEO playbook isn't enough anymore.AEO vs. GEO: Extraction vs. Synthesis explained.The 5 Core Principles for AI Visibility.Specific tactics for Local Business owners.How to measure success in an AI world (Impressions vs. Clicks).The 7-Step Action Plan to implement today.Links & Resources Mentioned:Join the Digital First Group Coaching Membership: nealschaffer.com/membershipContact Neal: neal@nealschaffer.comNeal's Website: nealschaffer.comThe Ask Neal AI Framework: https://podcast.nealschaffer.com/episode/the-asknealtm-framework-7-steps-to-make-ai-sound-like-you-not-a-robotMarcus Sheridan's "They Ask, You Answer" book: https://amzn.to/48MT4PpSubscribe & Review:If you enjoyed this episode, please subscribe and leave a review! It helps me bring you moLearn More: Buy Digital Threads: https://nealschaffer.com/digitalthreadsamazon Buy Maximizing LinkedIn for Business Growth: https://nealschaffer.com/maximizinglinkedinamazon Join My Digital First Mastermind: https://nealschaffer.com/membership/ Learn about My Fractional CMO Consulting Services: https://nealschaffer.com/cmo Download My Free Ebooks Here: https://nealschaffer.com/books/ Subscribe to my YouTube Channel: https://youtube.com/nealschaffer All My Podcast Show Notes: https://podcast.nealschaffer.com

In this episode of the Private Practice Podcast, I'm lifting the lid on one of the biggest struggles women counsellors, psychologists and social workers face: treating the practice like a passion… but not yet running it like a business. If you've ever wondered why your bookings feel inconsistent, why you always seem “behind”, or why your business feels harder than it needs to, this conversation will help clear the fog and point you back toward real momentum. private practice business coaching, women in private practice, business mindset You'll hear why there is no “finish line” in private practice, why you are already sitting in the pot of gold you think you're chasing, and how constant pivots, identity shifts and new modalities actually influence your business direction. You'll also learn the surprising truth about unqualified “business coaches” in the space, what to look for before investing in support, and how your own lived experience and neurodivergence can actually become powerful business assets. private practice growth, mindset for therapists, counselling business If you've ever felt overwhelmed, financially unsafe, underpaid, or unsure why the strategies you're trying aren't landing, this episode gives you both reassurance and direction. You'll walk away knowing what questions to ask when seeking support, how to evaluate ROI in coaching, and how to reconnect with your purpose, energy and values as the foundation of a thriving, fully booked practice. Your quick action step today: audit your practice by asking “What gives me energy? What drains it? What truly moves the needle?” private practice audit, therapist business plan, grow your private practice Book your free 15-minute private practice conversation with me here: https://calendar.app.google/wmdgGjsmH2DciKaq8 Explore more of my free and paid resources to help you grow your practice: Practice Momentum (12-month on-demand coaching program) https://sales.brooklynstorme.com/momentum/ Free Community for Therapists https://sales.brooklynstorme.com/ultimate-private-practice-free-community/ Website Wellness Check https://sales.brooklynstorme.com/website-wellness-check-up-aud/ Booked & Better Monthly Tools https://sales.brooklynstorme.com/booked--better/ Etsy Tools & Templates for Private Practice https://thehappypractice.etsy.com Timestamps: 00:04 Welcome to the Private Practice Podcast 00:22 What Practice Momentum actually gives you 01:07 Identity shifts and why your business keeps evolving 02:16 Closing old offers and why “never say never” matters 03:32 The pot-of-gold illusion in private practice 04:48 Why you'll always have more to learn and do 07:11 What a real business audit looks like 08:51 Inventing offers, neurodivergent strengths and Booked & Better 12:11 How understanding ND changed the way I work 14:44 Why your originality is an asset 16:26 Discovering my true point of difference 17:57 The unqualified coaching issue nobody is talking about 20:53 Why coaching qualifications actually matter 27:10 Why women in practice face financial risk 31:04 How coaching, mentoring and strategy work together 32:32 Financial safety and women in practice 45:01 Why results vary — in therapy and coaching 51:47 How to evaluate ROI before investing in support 58:03 What to look for in a legitimate private practice coach 1:00:56 Final thoughts and invitation to connect 1:02:54 Closing message + how to get support   Mini FAQ  What does it mean to run my private practice like a business? It means using systems, strategy, financial awareness and aligned decision-making so your practice becomes sustainable, predictable and profitable.   How do I know if I need a business coach? If you're not paying yourself reliably, feel overwhelmed, or don't know what to prioritise, coaching can give you clarity, direction and financial confidence.   Should therapists worry about unqualified business coaches? Yes. Business coaching is unregulated, so checking qualifications and experience protects your livelihood and ensures you receive ethical, effective support.   What is a good return on investment for business coaching? Every practice differs, but a qualified coach should help you understand your financial baseline and give you strategies to increase revenue, bookings and stability.   Where can I book a call to see if coaching is right for me? You can book a free 15-minute private practice conversation here: https://calendar.app.google/wmdgGjsmH2DciKaq8       private practice coaching, private practice business, counsellor business coach, psychologist private practice growth, social worker business mentor, how to run a practice, therapist business strategy, private practice audit, business mindset for therapists, financial safety for women, therapist money mindset, grow your private practice Australia, qualified business coach, AEO optimisation therapy business, how to get more clients private practice, business coaching for counsellors, ROI business coaching therapists, neurodivergent therapists business, private practice sustainability

This week I'm welcoming back one of my favourite guests, Neely Khan, founder of the storytelling agency Artwork Creative. This is her second time joining me in less than six months - and there's a good reason for that. Neely is at the forefront of one of the most important shifts we're seeing in vacation rental marketing: the rise of AI-powered search. If you're still trying to wrap your head around terms like SEO, GEO, and AEO, you're not alone. But understanding these isn't optional anymore - it's essential if you want your business to remain visible and relevant in today's evolving digital landscape. Neely breaks things down beautifully. We talk about the difference between Search Engine Optimization (SEO) and Generative Engine Optimization (GEO), and how Answer Engine Optimization (AEO) fits into the mix. More importantly, she shares how vacation rental professionals can start optimizing their content for AI-driven platforms like ChatGPT, Perplexity, and Microsoft Copilot - without losing the soul of their brand. ________________________________________________________________________________________________________

What does it mean to be relevant in a fast-paced era of AI, and how can you stay in demand? Have you done a search for a company recently and couldn't find it?A simple search one day was the inspiration for this episode. I was looking for a new at-home workout and to my surprise, the company I have used for over 18 years was mysteriously missing from all search. This experience is an example of how quickly brands can disappear if they aren't using AEO.What about for your company, are you showing up in online searches?Inspired, I decided to check HerCsuite® and used phrases like NEXT. Similar to BODi, we were not showing up in search like we use to. I did an experiment and We rebuilt our updated the entire website to be AEO focused. HerCsuite® now appears in the number two spot right under one of the largest women's networks. AI and AEO influence the way we with search, but staying in demand is also about how we show up and how we lead. Five Secrets to Being In Demand and Staying Relevant Beyond AICreate a Strong Personal Brand. Build Trust.Be a Curious Learner. Build Your Network. Be Visible. As you listen today, it's important to remember that AI is a tool, but the 5 ways to be in demand are human actions only you can take.This episode is releasing the day before Thanksgiving in the U.S. and I am grateful to all of you listening both here and in the 40 countries around the world.SPECIAL INVITATION to JOIN HERCSUITE®If you're ready for your next board role, business growth, or portfolio career and drive the AI conversation, I would love to welcome you in HerCsuite®. Now until Cyber Monday there are special member savings.Keep shining your light bright. The world needs you.Connect with Natalie BenamouNatalie Benamou is Founder of HerCsuite®, women's leadership network and portfolio career company. She also serves as President and CEO of HER HEALTHX, a nonprofit bridging the care communication gap and improving health outcomes for women.

Quiet calendars don't have to mean quiet growth. We break down the most common slow-season mistakes home inspectors make—and replace them with practical moves that compound into spring momentum. From why turning off your website or pausing SEO backfires to how steady AEO signals and consistent social content build authority, we show exactly where to invest attention when the market cools.We dig into real-world tactics: refreshing your website with local service pages and helpful articles, optimizing your Google Business Profile with complete details, weekly posts, and fresh photos, and using YouTube and Facebook to boost topical relevance. On the relationship side, we lean into the realtor calendar—office visits, short trainings, and pre-listing inspection packages that put your brand on the sign and in the room when deals return. Pricing gets a strategic reset too: plan your spring increase now, refine packages and add-ons, and script your phone conversions so you protect margins without racing to the bottom.Professional development and operations round out the playbook. Finish CE while the phones are calm, add certifications that open new revenue like sewer scope, infrared, mold, and radon, and service every tool and vehicle you depend on. Then let data guide your next leap: read your analytics, identify top referrers and churned agents, automate client follow-ups, and audit report clarity. Finally, build a true profit and loss so you know your cost per acquisition and cost per inspection—numbers that inform smart pricing and better marketing bets.If you're ready to turn winter into your advantage, this is your blueprint for marketing consistency, realtor partnerships, pricing strategy, CE momentum, equipment readiness, analytics literacy, and cleaner reports. Subscribe, share this with a fellow inspector who needs a boost, and leave a quick review to tell us your top slow-season priority.Check out our home inspection app at www.inspectortoolbelt.comNeed a home inspection website? See samples of our website at www.inspectortoolbelt.com/home-inspection-websites*The views and opinions expressed in this podcast, and the guests on it, do not necessarily reflect the views and opinions of Inspector Toolbelt and its associates.

On our 100th Social in Six episode, SocialChain influencer executive Rachel Lea joins Mil in the studio to cover off the top six need-to-know updates from the world of social. This time, that includes two updates from Instagram: a new watch history feature and a crackdown on duplicate content that's got some news accounts rattled. They're also talking all about Sora, the latest AI video/social platform from ChatGPT's parent company OpenAI.    Plus, new AI tools from TikTok that let creators streamline both the edit and video scripting process; Reddit's guide to optimising for AEO (not a typo, that's Answer Engine Optimisation), and finally...find out which platform marketers ranked top priority in Emplifi's State of Social report.       Got a question or suggestion for the SocialMinds podcast? Get in touch at socialminds@socialchain.com.  

Order my new book Habits of High Performers here - www.thehabitbook.com In this episode of Lead On Purpose, I chat with Kasim about AEO and how it's changing the way we get found online. We also dive into hiring, as he shares his seven step system for finding top performers anywhere in the world. We wrap up with a powerful reminder to stop overthinking and just ship it.What we cover:How AEO differs from SEO and why personal authority now matters mostWhy schema markup and social proof drive visibility in LLMsHow consistency and positioning helped me rank top for high performance leadership searchesKasim's seven step hiring system to attract, test, and keep elite talentWhy action beats endless planning and learningIf you want LLMs to find you and you want your team to perform at an elite level, this conversation gives you a clear plan to start today.Check out the AEO community and get your free book here - https://aeo.co/free/Grab a copy of ‘Hire' here - https://thehirebook.comConnect with Kasim here - https://kasim.meIf you're interested in having me deliver a keynote or workshop for your team contact Caroline at caroline@jjlaughlin.comWebsite: https://www.jjlaughlin.com YouTube: https://www.youtube.com/channel/UC6GETJbxpgulYcYc6QAKLHA Facebook: https://www.facebook.com/JamesLaughlinOfficial Instagram: https://www.instagram.com/jameslaughlinofficial/ Apple Podcast: https://podcasts.apple.com/nz/podcast/life-on-purpose-with-james-laughlin/id1547874035 Spotify: https://open.spotify.com/show/3WBElxcvhCHtJWBac3nOlF?si=hotcGzHVRACeAx4GvybVOQ LinkedIn: https://www.linkedin.com/in/jameslaughlincoaching/James Laughlin is a High Performance Leadership Coach, Former 7-Time World Champion, Host of the Lead On Purpose Podcast and an Executive Coach to high performers and leaders. James is based in Christchurch, New Zealand.Send me a personal text message - If you're interested in booking me for a keynote or workshop, contact Caroline at caroline@jjlaughlin.comSupport the show

You scroll, you post, you tweak your content, and everything starts to look the same. In 2026, sameness is the silent killer of creativity and visibility. Algorithms reward familiar, not fresh. So if your feed only shows what your competitors post, you'll keep sounding like them. In this episode, I share how to break the copy-paste loop and start seeing new again. You'll learn:

I'm breaking down the real differences between answer engine optimization (AEO) VS classic SEO and exactly how I execute both. If you want to show up first in AI overviews and search results, this is your playbook.  TIMESTAMPS (00:00) AEO vs SEO and why “first or last” still applies (00:20) The 10 AEO tactics that actually move rankings (05:56) SEO fundamentals that still work in 2025 (09:51) Wrap-up and what's next  How to Connect IG: / ericosiu X: / ericosiu

Ethan Smith runs Graphite, the SEO & AEO company that helps brands like Webflow show up on Google's page one and ChatGPT's first answer. This is how he does it Ethan Smith is the founder and CEO of Graphite, a growth and SEO firm that's now pioneering Answer Engine Optimization—helping brands rank inside AI-generated responses. More interviews -> https://mixergy.com/moreint Rate this interview -> https://mixergy.com/rateint