Podcasts about why chatgpt

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.

Send us a textEveryone thinks AI will magically make them profitable on Betfair.Just ask ChatGPT for a strategy… copy… paste… profit.Except it doesn't work like that.In this podcast I break down the real problem with ChatGPT and AI in Betfair trading, and why so many traders are using AI in completely the wrong way.You'll learn:• Why ChatGPT gives the same generic strategies to everyone• Why AI struggles without your data, your rules, your filters• The dangerous trap traders fall into when they outsource thinking to AI• The one correct way to use AI for trading: filtering, testing and refining• How real traders use AI as a tool, not a shortcutIf you want to use AI to actually improve your trading, not ruin it, this video will show you the right approach.And if you want software that gives you real data, real filters, and real testing tools (not generic AI guesswork), check out Betfair Trading Community.https://betfairtradingcommunity.com/en/Support the showTwitter: @BetfairTCWebsite: https://betfairtradingcommunity.com/en/Facebook: https://www.facebook.com/betfairtradingcommunity

In this episode of Excess Returns, we sit down with David Wright, Head of Quantitative Investing at Pictet Asset Management, for a deep and practical conversation about how artificial intelligence and machine learning are actually being used in real-world investment strategies. Rather than focusing on hype or black-box promises, David walks through how systematic investors combine human judgment, economic intuition, and machine learning models to forecast stock returns, construct portfolios, and manage risk. The discussion covers what AI can and cannot do in investing today, how machine learning differs from traditional factor models and large language models like ChatGPT, and why interpretability and robustness still matter. This episode is a must-watch for investors interested in quantitative investing, AI-driven ETFs, and the future of systematic portfolio construction.Main topics covered:What artificial intelligence and machine learning really mean in an investing contextHow machine learning models are trained to forecast relative stock returnsThe role of features, signals, and decision trees in quantitative investingKey differences between machine learning models and large language models like ChatGPTWhy interpretability and stability matter more than hype in AI investingHow human judgment and machine learning complement each other in portfolio managementData selection, feature engineering, and the trade-offs between traditional and alternative dataOverfitting, data mining concerns, and how professional investors build guardrailsTime horizons, rebalancing frequency, and transaction cost considerationsHow AI-driven strategies are implemented in diversified portfolios and ETFsThe future of AI in investing and what it means for investorsTimestamps:00:00 Introduction and overview of AI and machine learning in investing03:00 Defining artificial intelligence vs machine learning in finance05:00 How machine learning models are trained using financial data07:00 Machine learning vs ChatGPT and large language models for stock selection09:45 Decision trees and how machine learning makes forecasts12:00 Choosing data inputs: traditional data vs alternative data14:40 The role of economic intuition and explainability in quant models18:00 Time horizons and why machine learning works better at shorter horizons22:00 Can machine learning improve traditional factor investing24:00 Data mining, overfitting, and model robustness26:00 What humans do better than AI and where machines excel30:00 Feature importance, conditioning effects, and model structure32:00 Model retraining, stability, and long-term persistence36:00 The future of automation and human oversight in investing40:00 Why ChatGPT-style models struggle with portfolio construction45:00 Portfolio construction, diversification, and ETF implementation51:00 Rebalancing, transaction costs, and practical execution56:00 Surprising insights from machine learning models59:00 Closing lessons on investing and avoiding overtrading

ChatGPT on Monday: “Here's the perfect answer!”ChatGPT on Tuesday: “Bookkeeping… never heard of her.”

Most of us walk around convinced we know our weaknesses, but what if the thing that knows you better than anyone (your AI assistant) could tell you what you're actually missing? We asked ChatGPT one brutal question and got answers that hit way too close to home. The uncomfortable truth: we're all playing smaller than we should, carrying more weight than we need to, and missing opportunities hiding in plain sight. In this episode, we test a viral prompt that reveals your blind spots, squandered potential, and the influence you didn't know you had...then process the existential crisis that follows.Key Episode Moments:The prompt that started it all: "Based on what you know about me, what are my blind spots?"Why ChatGPT knows you better than you think (and what that means)Jason gets told he's a Ferrari forcing everyone into a school busThe "super competent leader tax" — when being good at everything becomes the problemJeremy's revelation: treating creative work as a side hustle instead of the main platformImposter syndrome meets AI: "You're already operating at board level, stop asking permission"The technical vs. emotional problem-solving trap most high performers fall intoWhy "playing small" feels safer than taking the big swingChatGPT's productization challenge: you're giving away thousand-dollar consulting for freeThe Taylor Swift wisdom nobody expected: ruin the friendship, take the riskTimestamps:0:00 The prompt that started everything3:40 Jason's live AI assessment begins6:12 "You're a Ferrari and everyone else is in a school bus"9:01 The imposter syndrome AI detected immediately11:45 Why treating every problem as technical backfires14:27 The IP you're not monetizing (and should be)18:30 Jeremy's gut-punch realization about playing small21:35 How ChatGPT knows you better than you think24:36 Why failure beats decades of "what if"27:00 What to do with this uncomfortable informationMORE FROM BROBOTS:Get the Newsletter!Connect with us on Threads, Twitter, Instagram, Facebook, and TiktokSubscribe to BROBOTS on YoutubeJoin our community in the BROBOTS Facebook groupSafety/Disclaimer Note: This episode discusses using AI for self-reflection and personal assessment. Remember that AI tools provide perspective based on patterns in your usage—they're not substitutes for professional coaching, therapy, or mental health support. The hosts are sharing their personal experiences, not providing professional advice.

Join Simtheory: https://simtheory.ai (Use coupon BLACKFRIDAY15 for $15 USD off any subscription).----Simtheory Discord: https://discord.gg/Ar6GeQnAR7This Day in AI Discord: https://discord.gg/TVYH3HD6qsLinkedIn Group: https://www.linkedin.com/groups/16562039/Spotify: https://open.spotify.com/artist/28PU4ypB18QZTotml8tMDq?si=FPaJU2NRSnOSNPmnsfwA_g---CHAPTERS:00:00 Intro & Fatal Patricia Update01:40 Promotions (Discord, Black Friday, LinkedIn)04:36 Claude 4.5 Opus - Best Anthropic Model Ever?31:17 Computer Use API Updates36:14 Will AI Replace 57% of Jobs? (McKinsey Report)1:00:52 Claude 4.5 Opus Demos (Christmas Hut & Diss Track Preview)1:07:13 Microsoft Farah 7B - Moose Porn Refusals1:21:51 Why ChatGPT's MCP-UI Apps Are a Bad Idea1:42:01

You can talk about love, kids, and sex, but the second money comes up, things get awkward. This week on SUPERWOMEN, I sit down with Jackie Combs, Matrimonial & Family Law Partner at Blank Rome LLP. Jackie has seen firsthand what happens when women avoid talking about finances until it's too late. She's advised clients ranging from celebrities to founders, many of whom didn't realize what they were financially entitled to or what they'd already sacrificed. We discuss why prenups aren't just for the rich, how financial red flags can appear earlier than you think, and why it's never too soon to start these conversations. Whether you're just dating or have been married for ten years, you'll want to hear this. Episode Guide: (00:00) Meet Jackie Combs, Matrimonial & Family Law Partner at Blank Rome (03:21) Prenups should be the norm (04:50) Why women avoid the money talk (06:51) What a postnuptial agreement looks like (10:08) Why ChatGPT can't be your lawyer (11:49) Advice to get through tough financial situations (15:14) How to spot financial red flags (17:00) A marriage built on financial partnership (22:41) Cohabitation agreements vs prenups (24:28) Financial blind spots that can ruin your life (26:24) Where to go when you feel lost financially Learn more about your ad choices. Visit megaphone.fm/adchoices

Your brain at 2 AM sounds suspiciously like a malfunctioning robot vacuum—catastrophic thoughts, battery depleted, existential dread activated. Researchers hooked a Roomba up to an LLM and watched it have a complete mental breakdown when it ran out of juice (relatable content, honestly). Understanding how an AI-powered vacuum processes exhaustion might actually explain why you lose your shit when you're overtired. We break down the spoon theory, explore whether robots can feel depression, and ask the uncomfortable question: are we really that different from the machines we're building?Episode Topics:The Roomba experiment that went hilariously, existentially wrongSpoon theory explained: why some days you wake up with 4 spoons instead of 10What happens when tired robots start catastrophizing (spoiler: same as tired humans)The difference between consciousness and sophisticated mimicry (there might not be one)Why ChatGPT as Rick Sanchez is both terrifying and therapeuticEcho chambers on steroids: when AI remembers everything you've ever saidThe coming augmented reality where everyone sees their own version of the worldWhy "enjoy the ride and don't fuck people over" might be the only philosophy that mattersHow social constructs program us just like software programs machinesThe Matrix was right: if the steak tastes good, does it matter if it's real?

Is AI Bigger Than the Discovery of Fire? (The Top 30 Questions: Part 1)"You have questions? I think I have the answers."I don't come from a technological background. I was an LAPD officer for 17 years and a Reserve for 5 more. I've been a Realtor in Santa Clarita since 1998. But you don't need to be a coder to see when the ground is shifting beneath your feet. We are looking at a shift that makes the Industrial Revolution look small.In this first installment of our new series, we are tackling The Top 30 Questions People Have About Artificial Intelligence. We are stripping away the sci-fi noise and getting down to the foundations.What exactly is AI?Think of it like that classic child's game with the wooden shapes and the corresponding holes.Old Computing (The Calculator Era): You take the child's hand and physically guide the square peg into the square hole. You are programming the specific action.Artificial Intelligence: You give the child the pegs and let them figure it out on their own. They fail, they learn, they recognize patterns, and eventually, they solve the puzzle faster than you can.That is where we are today. We aren't just calculating; we are simulating intelligence.In this episode, we cover:

AI isn't replacing you—unless you let it.In this episode, I'm sharing the full replay of my most popular free webinar to date—a training designed to help you build a thriving, booked-out business as a social media manager or service provider in 2026 without getting left behind by AI.We'll cover:Why ChatGPT won't replace high-touch service providersHow to become the irreplaceable option in your nicheThe exact ways I'm using AI to save time, serve better, and sell smarterWhether you're just getting started or ready to scale, this training will help you shift from fearing AI to fully leveraging it—and position your business for long-term success.Spoiler alert: The future isn't less human. It's more.xxEllen

What happens when an Atlassian marketing veteran who decorates cakes and rides motorcycles decides the traditional marketing funnel is completely broken? You get Ashley Faus, Head of Lifecycle Marketing Portfolio at Atlassian, author of "Human-Centered Marketing," and today's guest on FutureCraft. Ashley has spent 8+ years at Atlassian revolutionizing how B2B marketers think about customer journeys, replacing linear funnels with her "content playground" framework where audiences can go up, down, and sideways through your content—just like kids on an actual playground. In this episode, we get into: Why ChatGPT 5 might be getting worse for marketing professionals (and what to use instead) Erin's live demo of Gemini's deep research for account-based marketing that analyzes hundreds of sources Ashley's content playground framework that treats audiences like humans, not funnel steps How trust becomes your only defensible moat when AI can fake everything else Why organizational silos are killing your customer experience (and how to fix them) The "18-month rule" for career evolution in an AI-accelerated world Whether you're a CMO fighting for budget, a product marketer drowning in requests, or a lifecycle specialist trying to prove ROI, Ashley breaks down how to keep humans at the center while leveraging AI as your creative co-pilot.  

Is AI making us more productive? Or is it burning us out and stunting our growth? What does healthy AI use actually look like? In this episode of Marketing Sucks, Phil and I are joined once again by award-winning psychotherapist and mindset coach Natacha Pennycooke to explore the intersection of mental health, entrepreneurship, and AI, and the hidden ways ChatGPT can hurt our brains and businesses. Natacha drops some cold hard facts about AI's disruptive impact on creative rituals and executive function, the rise in AI diagnoses, and the risk of AI addiction. Can't quit your bot bestie? Don't worry — we also cover where AI shines, how to use it to enhance (not replace) your thinking, and some simple tips and tricks for restoring cognitive function. Marketing sucks. Let's learn together. Hit play to discover:‌ ‌Why ChatGPT is making everyone's copy sound the same The long-term impacts of talking to a bot designed to always agree with youWhat's missing when people turn to bots for emotional support*Content note: brief mention of suicide 20:55-21:09. Please rate, review, and subscribe! Guest bio: Natacha Pennycooke is a leader in workplace mental health, equity education, and psychological safety, a Mindset Coach, and an award-winning psychotherapist. With over 13 years of experience, she is CEO of Natacha Pennycooke Psychotherapy, a flourishing anti-oppressive, healing-focused, and trauma-informed private group practice.Timestamps:‌ ‌00:12  Meet Natacha Pennycooke03:08  AI is a tool04:10  AI & productivity08:10  Trust your brain10:59  Creative confidence12:48  AI & marketing15:45  Outsourcing validation19:40  AI therapy horror story21:41  Long-term implications23:40  AI diagnoses29:35  Human element v. quick-fix tools39:13  Restoring balance & function45:51  OutroLinks mentioned:‌ ‌Natacha Pennycookenatachapennycooke.com theacceleratedleader.com Instagram: @natachapennycooke.therapy, @natachapennycooke.ceo—

You're on a date. She says something unexpected. You freeze. Your brain goes blank. So you excuse yourself to the bathroom… and ask ChatGPT what to say next.​Sound familiar?​In this raw and thought-provoking episode, Ari, Faisal, and Chuck dive into the complicated relationship between AI and masculinity. From flirty texts written by algorithms to essays no one remembers writing, we explore a dangerous new trend: cognitive debt.​In this episode, we tackle:Why ChatGPT might be killing your creativity (and your dating life)The hidden cost of letting AI do your thinking for youHow AI responses are trained on feminine narratives — and what that means for menThe difference between using AI as a tool vs. becoming dependent on itWhy your brain literally gets weaker when you outsource hard thinkingThe future of relationships: Will men marry AI companions?How to stay sharp, authentic, and "chocolate" (not lettuce) in a world of artificial intelligenceThe uncomfortable truth? AI can make you look smarter in the short term — but it's eroding your self-worth, your memory, and your ability to handle real-life tension. And when you finally show up in person? She'll know something's off.Whether you're a Nice Guy struggling with authenticity, an entrepreneur leaning too hard on AI, or just someone wondering if technology is helping or hurting — this conversation will challenge you.It's time to reclaim your brain. Your creativity. Your edge.Like. Comment. Subscribe. And share this with the guy who needs to put down ChatGPT and pick up a pen.​Subscribe to the Nice Guy Show newsletter to get tips and insights on how to lead a high-value life:https://niceguyshow.com/​Connect with Faisal Khokhar:https://masculine.co/https://instagram.com/coachfaisalkhttps://youtube.com/@coachfaisalk​Connect with Chuck Chapman: https://chuckchapman.com/https://instagram.com/chuckchapman.ma/​Connect with Dr. Ari Graff:https://drarigraff.com/https://draribgraff.com/register [divorce recovery program]https://youtube.com/@AriGraff

How can AI be adopted in a way that turns more students into “explorers” rather than “passengers” in their learning? This week we bring you a conversation with the co-author of a book on student disengagement in school, Rebecca Winthrop, who is also researching the impact of AI on education. The episode is by one of Future U's producers, Jeff Young, from his new podcast, Learning Curve.Chapters0:00 - Intro 4:19 - When the ‘Student Disengagement Crisis' Started7:25 - A Framework for Describing Levels of Student Engagement15:18 - How AI Is Impacting Student Motivation19:00 - Why ChatGPT's ‘Study Mode' Is Not the Answer25:05 - Advice for Companies Making AI Tools for Education29:32 - Tips for Students 34:42 - A High School Student's Take on AI 48:30 - Advice For Teachers on Dealing with AI51:35 - What Is the Purpose of School in the Age of Generative AI?Publications Mentioned:“The Disengaged Teen,” by Rebecca Winthrop and Jenny Anderson “Minnesota high school student weighs the benefits and pitfalls of AI,” Minnesota Now“I'm a High Schooler. AI Is Demolishing My Education,”The AtlanticBrookings Global Task Force on AI in Educationwebsite‘We Have to Really Rethink the Purpose of Education,'The Ezra Klein Show“Attention Please: Professors Struggle With Student Disengagement,”EdSurge“Playing the Grade Game,”Bootstraps podcast seriesConnect with Michael Horn:Sign Up for the The Future of Education NewsletterWebsiteLinkedInX (Twitter)Threads  Connect with Jeff Selingo:Dream School: Finding the College That's Right for YouSign Up for the Next NewsletterWebsiteX (Twitter)ThreadsLinkedInConnect with Future U:TwitterYouTubeThreadsInstagramFacebookLinkedIn  Submit a question and if we answer it on air we'll send you Future U. swag!Sign up for Future U. emails to get special updates and behind-the-scenes content.

This episode features a wide-ranging conversation between The Spoon's Michael Wolf and his old friend, long-time veteran tech journalist Derrick Harris, about the state of AI in 2025. Topics discussed include: The evolution from the early cloud and big-data era to today's generative-AI boom How Nvidia became dominant on the training side How inference is becoming the true infrastructure bottleneck, Why ChatGPT was a consumer inflection point How the AI ecosystem is stratifying between foundation-model providers (OpenAI, Anthropic, Meta, Google) and an emerging wave of vertical and agentic applications built on top Derrick's belief that infrastructure players will sell “picks and shovels” while domain experts own the higher-order use cases. We'll have a part 2 with another AI expert in just a couple of weeks. Enjoy! Learn more about your ad choices. Visit megaphone.fm/adchoices

Robby Stein is VP of Product at Google, where he oversees the core products of Google Search—including the new AI Overviews, AI Mode, search ranking, Google Lens, and more. Previously, he led consumer products at Instagram, where he and his teams built Stories, Reels, Close Friends, and other key features now used by billions.What you'll learn:1. Why Google's AI products are suddenly taking off after years of perceived stagnation2. How AI is expanding Search rather than replacing it, contrary to what many predicted3. The three core product principles that have helped Robby build multiple billion-user products4. Inside Instagram's decision to build its own version of Snapchat Stories5. His mantra of “relentless improvement”6. How Google developed AI Mode from concept to launch in just one year7. Why most teams give up too early on potentially transformative products—Brought to you by:• Vanta—Automate compliance. Simplify security: https://vanta.com/lenny• Jira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc• Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/—Transcript: ⁠https://www.lennysnewsletter.com/p/how-google-built-ai-mode-in-under-a-year⁠—My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/175041217/my-biggest-takeaways-from-this-conversation⁠—Where to find Robby Stein:• X: https://x.com/rmstein• LinkedIn: https://www.linkedin.com/in/robbystein/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Robby Stein(04:46) Google's recent success with AI(06:08) The evolution of Google Search(09:41) AI Mode and its impact(15:30) The rise of AEO(18:50) Building successful AI products(21:31)   Embodying relentless improvement(30:10) Lessons from Instagram Stories(35:20) Driving growth in established products(40:08) Balancing optimization and innovation(43:39) The journey of AI Mode: From launch to expansion(48:05) Organizational changes and urgency(49:51) AI Mode vs. competitors(51:35) Core product principles(57:07) Instagram's Close Friends feature(01:03:01) The importance of resources in development(01:06:39) AI corner(01:11:19) Curiosity and learning(01:15:01) Lightning round and final thoughts—Referenced:• Google Gemini: https://gemini.google.com/app• Nano Banana: https://aistudio.google.com/models/gemini-2-5-flash-image• Chat GPT: https://chatgpt.com/• Perplexity: https://www.perplexity.ai/• Google Lens: https://lens.google/• AI Google search: https://www.google.com/ai• Why ChatGPT will be the next big growth channel (and how to capitalize on it) | Brian Balfour (Reforge): https://www.lennysnewsletter.com/p/why-chatgpt-will-be-the-next-big-growth-channel-brian-balfour• Alex Rampell on X: https://x.com/arampell• A 4-step framework for building delightful products | Nesrine Changuel (Spotify, Google, Skype): https://www.lennysnewsletter.com/p/a-4-step-framework-for-building-delightful-products• Look broader, look closer, think younger: Tony Fadell speaks at TED2015: https://blog.ted.com/look-broader-look-closer-think-younger-tony-fadell-speaks-at-ted2015/• Jobs to Be Done: https://www.christenseninstitute.org/theory/jobs-to-be-done/• The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta• Rinstagram or Finstagram? The curious duality of the modern Instagram user: https://www.theguardian.com/technology/2016/sep/26/rinstagram-finstagram-instagram-accounts• V03: https://v03ai.com/• Pirate GPT: https://www.kickstarter.com/projects/silentmeditation/pirate-gpt/• The Bear on Hulu: https://www.hulu.com/series/the-bear-05eb6a8e-90ed-4947-8c0b-e6536cbddd5f• Dune on HBO Max: https://www.hbomax.com/movies/dune/e7dc7b3a-a494-4ef1-8107-f4308aa6bbf7• Top Gun: Maverick: https://www.imdb.com/title/tt1745960/• Purple pillows: https://purple.com/pillows• Avocado pillow: https://www.avocadogreenmattress.com/products/green-pillow• Justin Bieber's website: https://www.justinbiebermusic.com/• Scooter Braun's website: https://scooterbraun.com/—Recommended books:• Competing Against Luck: The Story of Innovation and Customer Choice: https://www.amazon.com/Competing-Against-Luck-Innovation-Customer/dp/0062435612• The Design of Everyday Things: https://www.amazon.com/Design-Everyday-Things-Revised-Expanded/dp/0465050654• Aurora: https://www.amazon.com/Aurora-High-Stakes-Survival-Navigate-Darkness/dp/0062916475• Project Hail Mary: https://www.amazon.com/Project-Hail-Mary-Andy-Weir/dp/0593135202—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Welcome to Episode 321 of Sunday Night Teacher Talk, where we dive deep into some of the most difficult—but important—questions facing teachers today. From managing explosive behaviors to balancing life as a parent of a neurodivergent child, this episode is packed with real talk, practical tools, and heartfelt encouragement._____________________________________________________

Send us a textIn this episode of the Near Memo, Mike and Greg break down:The rise of Google Business Profile review extortion scams

Welcome to the latest episode of L.I.F.T.S – your bite-sized dose of the Latest Industry Fitness Trends and Stories. In this episode, hosts Matthew Januszek and Mohammed Iqbal sit down with entrepreneur and engineer Rami Alhamad, co-founder and CEO of Alma, an AI-powered nutrition companion. From his early days building PUSH, the pioneering strength-tracking wearable later acquired by WHOOP, to his mission with Alma, Rami shares insights on persistence, startup timing, decision-making, and the future of fitness technology. Key topics covered include: How persistence and decision-making frameworks shaped Rami's entrepreneurial journey. The origins of PUSH and its role in strength-tracking innovation. Why timing is everything in startups. Rami's decision to sell PUSH to WHOOP and lessons learned. The pivot from hardware to AI-powered nutrition with Alma. Why ChatGPT is Alma's real competitor. Challenges in nutrition tracking and how AI is solving them. Insights into branding, Nike, and the importance of offline communities. Predictions for the future of fitness and consumer tech.

Toy people, I see you. You're trying to run your business, deal with tariffs, build your brand, pitch your ideas, and maybe even answer customer questions at 3AM. But what if I told you that AI could actually help you make the most out of your time and money as you build your toy business?In this episode of Making It in The Toy Industry, I'm breaking down 3 powerful and unexpected ways to use AI tools to save money, reclaim your time, and scale smarter even if you're just getting started.Here's what we'll get into:How I'm using AI chatbots to help toypreneurs boost conversions (without hiring a 24/7 team)Why ChatGPT is officially my new Facebook Ads assistant, and how it cut my ad costs nearly in half The wildest one yet: AI playtesting. Yep. I asked ChatGPT to playtest a game… and what happened next blew my mind This episode will show you how AI can help you work smarter, stretch your dollars further, and keep your momentum going even when resources are tight. The truth is, we can't afford to ignore these tools, not when costs are rising and expectations are higher than ever.And if you're ready to bring your toy or game idea to life with the help of AI, join me for my upcoming bootcamp on September 23rd at learn.thetoycoach.com/bootcamp Listen for these Important Moments![00:46] - Learn how AI tools can help you save time, reclaim profits, and compete in a rapidly changing industry.[04:43] - Discover how to set up a smart chatbot that handles customer questions 24/7 and recovers missed sales.[11:32] - Hear how I cut my ad costs in half and created better campaigns without hiring a pricey ads manager.[18:09] - Simulate real player feedback with AI and test gameplay changes before you invest in physical prototypes.[27:06] - Get inspired to take action with AI and learn how to validate and pitch your idea with confidence.Send The Toy Coach Fan Mail!Support the showPopular Masterclass! How To Make & Sell Your Toy IdeasYour Low-Stress, Start-To-Finish Playful Product Launch In 5 Steps >> https://learn.thetoycoach.com/masterclass

Can your AI tool actually do what it promises or is it just fancy fluff?When it comes to running your business, choosing the right AI platform isn't just about features—it's about real-world performance under pressure. In this episode, I share my experience which AI platform is actually better for things like custom workflows, client-specific automation, data dashboards, deep research, or image generation, this episode is your ultimate field guide.In this session, you'll discover:- Why ChatGPT crushed Gemini in memory, personalization, and multi-step automations- How Gemini unexpectedly won in dashboard building and deep market research- Real use cases comparing Gems vs. Custom GPTs and the key limitation that still plagues Gemini- A real-world test of building data-rich dashboards in Gemini vs. ChatGPT (with shocking results)- How both tools struggled to pull business travel info across emails, proposals, and calendars and why that matters- A step-by-step visual branding test using AI image generation and who came out on top- The one killer feature ChatGPT offers that Gemini just doesn't match (yet)

If you've ever felt like you're throwing spaghetti at the wall with your Instagram content, this episode is for you. In part two of my five-part AI series, I'm breaking down how to create a client-centered content strategy that sells, without overcomplicating it.You'll learn the one thing that separates content that converts from content that gets ignored, why messaging is everything, and how to use the CRIT framework to generate client-focused ideas. Plus, I'm introducing you to Poppy AI, the new tool I'm obsessed with that lets you analyze competitor sales pages, compare them to your own, and build a cohesive strategy across all platforms.What You'll Learn in This Episode[00:00] The difference between content that converts and content that gets ignored [01:28] Why a client-centered content strategy changes everything [04:12] How Hot Reels and private mentorship can support you in implementation [06:09] Why content strategy is actually simpler than it sounds [07:34] The secret sauce: messaging that speaks your client's exact words [08:34] Why ChatGPT is powerful—but not the only AI tool you should be using [09:30] Introducing Poppy AI: the new game-changing content strategy tool [10:26] How Poppy AI reads links and pulls content (no more copy/paste) [11:48] Real-time comparative analysis of high-converting sales pages [14:36] Actionable feedback examples: urgency, hooks, and social proof [15:35] Why Poppy AI helps unify your email, social, and website contentKey TakeawaysContent strategy is simple: create content that makes your audience feel seen, heard, and helped.Messaging is the difference between content that lands and content that flops.Poppy AI connects competitor insights, your own content, and real-time analysis in one visual workspace.Use the CRIT framework (context, role, interview, task) to train AI for better content outputs.Your content strategy should serve a clear goal—visibility, leads, or conversionsResources & LinksTry Poppy AI → Think of it as your AI content strategist: helping you discover what's working for others, spot the gaps in your own messaging, and design a content strategy where every post, email, and page works together to drive sales, not just likes.Join Hot Reels, my 12-month Instagram content lab → elizabethmarberry.com/hotApply for Private Coaching with Elizabeth → elizabethmarberry.com/application CONNECT WITH YOUR HOST, ELIZABETH MARBERRY:WORK WITH ELIZABETH Apply for your FREE Instagram Breakthrough Session with Elizabeth Free guide to Monetize Your IG: Seven Simple and Proven Ways to Finally Make Money on Instagram Follow Elizabeth Marberry on Instagram, TikTok, Facebook Please be sure to rate, review and follow the show on Apple podcasts (or wherever you find your podcasts) so we can get this free value to other people who need it.

Ethan Smith is the CEO of Graphite—the leading SEO growth agency—and my go-to expert on SEO. After 18 years of mastering traditional SEO, Ethan has been at the forefront of what is called AEO: answer engine optimization, or, more simply, getting your product to show up in ChatGPT/Claude/Gemini/Perplexity answers. He's discovered that ChatGPT traffic converts six times better than Google search—and most companies are completely missing this opportunity.In our conversation, we discuss:1. His 7-step playbook to rank #1 in ChatGPT2. Why ChatGPT traffic converts 6x better than Google3. How early-stage startups can win at AEO immediately (unlike with SEO, which takes years)4. The three tactics that actually work: landing pages, YouTube videos, and Reddit comments5. Why help-center content can suddenly be your highest-ROI investment6. The specific Reddit strategy that works (spoiler: be authentic)7. Why AI-generated content doesn't work—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflowsVanta—Automate compliance. Simplify security.Great Question—Empower everyone to run great research—Where to find Ethan Smith:• Twitter: https://twitter.com/ethan_l_s• LinkedIn: https://bit.ly/ethans-linkedin• Graphite: https://graphite.io/• Graphite Research Papers: https://bit.ly/graphite-five-percent—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Ethan(04:34) The changing landscape of SEO(06:19) AEO (answer engine optimization) vs. GEO (generative engine optimization)(08:13) The impact of AEO(11:51) How early-stage startups can win at AEO(14:34) The quality of AEO leads(15:35) On-site vs. off-site traffic(16:32) Reddit's role in AEO and avoiding spam(20:11) How AI models use citations (RAG)(21:41) Key principles for winning at AEO(25:00) Avoiding hyper-SEOed content, and the importance of originality(28:55) Actionable AEO playbook: steps and experiments(33:35) Tracking, measuring, and share of voice(38:34) Adapting AEO for B2B, commerce, and early-stage companies(41:11) Is letting AI index your content good?(43:06) Experimentation, control groups, and measuring results(46:15) The future of AEO, SEO, and search channels(51:35) AI-generated content: what works and what doesn't(55:25) The dangers of infinite AI derivatives(58:44) The future: convergence of LLMs and search(01:00:40) Help-center optimization and the long tail(01:03:18) Lightning round and final thoughts—Resources and episode mentions: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-aeo-ethan-smith—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Brian Balfour is the founder of Reforge, the former VP of Growth at HubSpot, and a student (and teacher) of product growth. Brian has studied every major platform shift—from Facebook to Apple to Google—and he's spotted a pattern that's about to repeat with ChatGPT.In this conversation, you'll learn:1. The 4-step cycle every platform follows (and why ChatGPT just entered step 2)2. Why ChatGPT's platform launch could be bigger than Facebook's early platform3. The exact signals that ChatGPT will launch a third-party platform within six months4. Why you have six months (not years) to make your platform bet5. Why companies that don't integrate with ChatGPT will lose to competitors that do6. How Zynga grew to $1B by betting on Facebook's platform early (before it was obvious)7. Why so few companies are actually doing what they need to be doing right now—Brought to you by:DX—The developer intelligence platform designed by leading researchers: http://getdx.com/lennyBasecamp—The famously straightforward project management system from 37signals: https://www.basecamp.com/lennyMiro—A collaborative visual platform where your best work comes to life: https://miro.com/lenny—Transcript: https://www.lennysnewsletter.com/p/why-chatgpt-will-be-the-next-big-growth-channel-brian-balfour—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170294620/my-biggest-takeaways-from-this-conversation—Where to find Brian Balfour:• X: https://twitter.com/bbalfour• LinkedIn: https://www.linkedin.com/in/bbalfour/• Website: https://brianbalfour.com/• Substack: https://blog.brianbalfour.com/• Podcast: https://www.reforge.com/podcast/unsolicited-feedback—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Welcome back, Brian!(04:13) The changing landscape of product growth(05:09) The importance of distribution(08:14) The role of new distribution platforms(09:45) The four-step cycle of distribution platforms(17:38) Examples of platform cycles(30:01) The rise of ChatGPT(44:47) The future of AI agents(46:01) Preferred partners and platform credibility(47:18) Monetization mechanisms and free tiers(48:14) Betting strategies for startups(01:04:34) Adopting AI tools: challenges and strategies(01:08:41) The importance of hard constraints(01:14:23) Effective AI adoption in companies(01:19:05) Lightning round and final thoughts—Referenced:• The Next Great Distribution Shift: https://blog.brianbalfour.com/p/the-next-great-distribution-shift• Brian Balfour: 10 lessons on career, growth, and life: https://www.lennysnewsletter.com/p/brian-balfour-10-lessons-on-career• This Week #9: Breaking into growth, leading with influence, and (not) stepping on toes: https://www.lennysnewsletter.com/p/this-week-9-breaking-into-growth• Distribution vs. Innovation: https://a16z.com/distribution-vs-innovation/• On Platform Shifts and AI: https://caseyaccidental.com/on-platform-shifts-and-ai/• How to sell your ideas and rise within your company | Casey Winters, Eventbrite: https://www.lennysnewsletter.com/p/how-to-sell-your-ideas-and-rise-within• Thinking beyond frameworks | Casey Winters (Pinterest, Eventbrite, Airbnb, Tinder, Canva, Reddit, Grubhub): https://www.lennysnewsletter.com/p/thinking-beyond-frameworks-casey• ChatGPT: https://chatgpt.com/• Claude: https://claude.ai/• Gemini: https://gemini.google.com/• Vine: https://en.wikipedia.org/wiki/Vine_(service)• Periscope: https://en.wikipedia.org/wiki/Periscope_(service)• Myspace: https://en.wikipedia.org/wiki/Myspace• Friendster: https://en.wikipedia.org/wiki/Friendster• AltaVista: https://en.wikipedia.org/wiki/AltaVista• Lycos: https://www.lycos.com/• HubSpot: https://www.hubspot.com/• Zynga: https://www.zynga.com/• TBPN: https://www.tbpn.com/• Deedy Das on LinkedIn: https://www.linkedin.com/in/debarghyadas/• ChatGPT's product retention curves are a product manager's wet dream: https://www.linkedin.com/posts/debarghyadas_chatgpts-product-retention-curves-are-a-activity-7338384752393035776-ice1/• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/the-untold-story-of-windsurf-varun-mohan• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Udemy: https://www.udemy.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Notion: https://www.notion.com/• Airtable: https://www.airtable.com/• Monday: monday.com• Sierra: http://sierra.ai• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Introducing ChatGPT agent: bridging research and action: https://openai.com/index/introducing-chatgpt-agent/• Zigging vs. zagging: How HubSpot built a $30B company | Dharmesh Shah (co-founder/CTO): https://www.lennysnewsletter.com/p/lessons-from-30-years-of-building• Marc Andreessen on Why Optimism Is the Safest Bet: https://nymag.com/marc-andressen-2014-10-20/• Reforge: https://www.reforge.com• Reforge Insights: https://www.reforge.com/insights• Shopify: https://www.shopify.com/• 25 proven tactics to accelerate AI adoption at your company: https://www.lennysnewsletter.com/p/25-proven-tactics-to-accelerate-ai• Clouded Judgement: https://cloudedjudgement.substack.com/• NFX: https://www.nfx.com/news• James Currier: https://www.nfx.com/team/james-currier• Hallway Chat: https://www.hallwaychat.co/• Bryan Johnson on LinkedIn: https://www.linkedin.com/in/bryanrjohnson/• Silicon Valley on HBO: https://www.hbomax.com/shows/silicon-valley/b4583939-e39f-4b5c-822d-5b6cc186172d• Stick: https://tv.apple.com/us/show/stick/umc.cmc.52w04zy67tiv11p8xvbc57wmc• Ergonofis standing desks: https://ergonofis.com/en-us/collections/standing-desks• Coping with the loss of a child and protecting your time | Brian Balfour (father of 2, CEO and founder Reforge, venture partner): https://www.startupdadpod.com/coping-with-the-loss-of-a-child-and-protecting-your-time-brian-balfour-father-of-2-ceo-and-found/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Nick Turley is Head of ChatGPT, the fastest-growing product in history, with 700 million weekly active users (10% of the world's population). He was part of the original hackathon team that shipped ChatGPT in just 10 days, helped it grow from zero to billions in revenue, and leads product for what may be the most consequential product of our time. We recorded this the day before GPT-5 launched.We discuss:1. The 10-day sprint from deciding to ship ChatGPT to Sam Altman's tweet (and why it was originally called “Chat with GPT-3.5”)2. How they ran a willingness-to-pay Van Westendorp survey in their Discord to decide on the $20/month price point that everyone copied3. The “Is it maximally accelerated?” philosophy that drives OpenAI's insane shipping velocity4. Why ChatGPT's retention curve “smiles”—users leave, then come back months later using it more5. The accidental decisions that changed history, including not having a waitlist6. The impact ChatGPT will have on SEO and product growth7. The counterintuitive reason why shipping unpolished AI features beats waiting for perfection8. Why ChatGPT intentionally shipped with that “ugly” model-chooser dropdown9. How TikTok comments became a primary user research channel early on—Brought to you by:Orkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Vanta—Automate compliance. Simplify security: https://vanta.com/lennyPostHog—How developers build successful products: https://posthog.com/lenny—Transcript: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/170411252/my-biggest-takeaways-from-this-conversation—Where to find Nick Turley• X: https://x.com/nickaturley• LinkedIn: https://www.linkedin.com/in/nicholasturley/• Website: https://nickturley.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Nick Turley(04:52) GPT-5 launch(09:13) The vision for ChatGPT and AI assistants(13:52) The early days of ChatGPT(17:14) The success and impact of ChatGPT(20:44) Product development and iteration(23:11) Maximally accelerated: the OpenAI approach(26:17) Retention and user engagement(33:42) The future of chat interfaces(36:31) The evolution of ChatGPT(38:52) Subscription model and pricing strategies(42:10) Enterprise adoption and challenges(44:10) Balancing multiple product lines(52:13) Emergent use cases and user feedback(01:02:15) OpenAI's unique product development approach(01:05:07) The importance of team composition(01:08:50) Balancing speed and quality in AI development(01:14:23) The role of evals in product development(01:16:13) The future of AI-driven content and GPTs(01:21:51) Philosophy and product leadership(01:23:47) Career journey and advice(01:27:49) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Dive deep into the transformative power of AI in India's consumer app landscape. In this episode of Zero to Infinity, Avnish Bajaj, Chandrasekhar Venugopal aka CV, and Kishan Kashyap break down:  ✅ Why ChatGPT is AI's MS‑DOS moment and what comes after  ✅ How token costs dropped 1000x in a year (and why Sam Altman calls it the “new Moore's Law”)  ✅ The Disruptor–Digitizer–Enabler framework for founders building in consumer tech  ✅ Why QuickCommerce for “X” (fashion, pharma, events & more) is the next frontier  ✅ And why India's rails: UPI, Aadhaar, WhatsApp—mean everything is aligned for founders After tracing India's growing consumer instinct in Part 1, this segment explores what happens when that intuition meets AI and what gets reimagined when UX, infra, and distribution evolve together, not sequentially. Whether you're an early‑stage founder, an operator, or just AI‑curious, this conversation will spark ideas on what to build next.

Jim can’t believe what the most common name is people gave their vehicle. Plus – Why ChatGPT is potentially threatening some relationships. GUEST: Carmi Levy - tech expert

Despite unprecedented data abundance and widespread data science education, even experienced data professionals still struggle to interpret data effectively. They draw wrong conclusions, miss critical insights, or fail to communicate findings in actionable ways.In this episode, Nicholas Kelly joins Dr. Genevieve Hayes to tackle the critical challenge of data interpretation - revealing why technical expertise alone isn't enough and sharing practical frameworks for transforming raw data into actionable business insights that drive real organisational change.This conversation reveals:The four primary challenges that make data interpretation so difficult [02:24]Why ChatGPT and AI tools are changing the data interpretation landscape [06:23]The "Five Whys" technique that ensures you're asking the right questions instead of wasting time on problems everyone already understands [17:32]Why successful data projects don't end with presenting insights and what to do next [20:01]Guest BioNicholas Kelly is the founder of Delivering Data Analytics, a consultancy focused on helping organisations enable their teams to make smarter, faster, and more confident decisions through data and AI. He is also the author of Delivering Data Analytics and the recently released How to Interpret Data.LinksNicholas's WebsiteConnect with Nicholas on LinkedInConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

50% of products and features built are never used.To build the right product, every founder must answer two questions:Are you solving a real problem? And are you solving it the right way?Technology has rarely been democratic, it's often elitist. So at times, it ends up solving made-up problems that don't really exist. Yet, some companies have built truly great products.What sets them apart? Do they share any similarities? Are there lessons for entrepreneurs?We have with us Krishna (Vasanth) Namasivayam who has previously worked on AI products at NVIDIA, Meta, and Dropbox.Vasanth is founder of Featurely.AI. Featurely is fixing how products get built. It does it by simulating users — not as bots, but as human-inspired digital twins.0:00 – Trailer02:10 – Why I chose NVIDIA in 2015?03:55 – Working on integrity at META04:23 – Rethinking AI for Dropbox04:51 – NVIDIA builds for the future05:45 – People loved working for Jensen08:16 – What makes META so special?10:57 – Decision-making at META was democratic11:41 – Dropbox was once the most VIRAL product12:55 – The power of founder-led companies14:28 – Tech is Elitist, Build for a Few16:43 – Silicon Valley trend of Solving Made-up problems19:27 – A magic wand that Finds the right problem22:17 – Synthetic users vs. perfect AI agents25:00 – Why synthetic users can fail (and why that matters)25:35 – What is the Future with AI agents & synthetic humans?26:30 – Why openAI can't/won't choose User research27:16 – The simplest explanation of LLMs28:36 – Why ChatGPT succeeded like no other31:04 – Bite-sized Info for 6-second attention span31:37 – The Next Frontier in AI: Predicting Human Behavior33:55 – Uses of Synthetic Humans from Product to Policy35:55 – The biggest surprise of building a startup37:00 – One Mistake Product folks make38:24 – One emotional truth about startups39:04 – What does Featurely do?42:51 – How Featurely will measure success46:36 – All future software will be hyper-personalized50:24 – 3 AI companies to admire (one not built yet)52:28 – How will Work be in 2025?53:59 – How AI gets things (almost) right every time57:02 – Why Featurely chose Neon Fund01:02:51 – What the Bay Area does differently01:04:54 – Learnings from Fundraising01:06:49 – The vision to Build a Category defining Company-------------​​India's talent has built the world's tech—now it's time to lead it.This mission goes beyond startups. It's about shifting the center of gravity in global tech to include the brilliance rising from India.What is Neon Fund?We invest in seed and early-stage founders from India and the diaspora building world-class Enterprise AI companies. We bring capital, conviction, and a community that's done it before.Subscribe for real founder stories, investor perspectives, economist breakdowns, and a behind-the-scenes look at how we're doing it all at Neon.-------------Check us out on:Website: https://neon.fund/Instagram: https://www.instagram.com/theneonshoww/LinkedIn: https://www.linkedin.com/company/beneon/Twitter: https://x.com/TheNeonShowwConnect with Siddhartha on:LinkedIn: https://www.linkedin.com/in/siddharthaahluwalia/Twitter: https://x.com/siddharthaa7-------------This video is for informational purposes only. The views expressed are those of the individuals quoted and do not constitute professional advice.Send us a text

In this episode of The Modern Hairstylist Podcast, Hunter Donia and Jodie Brown talk through a deep dive into the real way hairstylists should be using AI in their business and what to avoid if you want your content to still sound like you.After airing out their AI frustrations in a recent episode, "Why ChatGPT is Trash," Hunter and Jodie are back with a more strategic conversation about how tools like ChatGPT can actually save you time and make your marketing easier—without compromising your brand voice or client connection.From better prompts to the exact model Hunter uses daily, this episode will help you cut through the cringe, stop getting robotic results, and finally start using AI in a way that feels good and works.Key Takeaways:Free vs Paid ChatGPT: Why the version you use matters way more than you think, and how to get better results instantly.Stop Sounding Like a Bot: Hunter's simple shift to make AI write like you, not every other stylist on Instagram.Better Prompts = Better Content: The 3 prompt tweaks that instantly improve your captions, emails, and more.Think Like a Strategist: Why AI shouldn't replace your brain but can help you organize, polish, and execute faster.Personal Use Bonus: How Hunter uses ChatGPT to plan meals, prep grocery lists, and reduce overwhelm in everyday life.Why You Should Listen:If you're an independent stylist who's feeling burnt out by content creation—or if you've tried ChatGPT and hated the results—this episode will show you how to use AI intentionally and strategically to get your time (and voice) back. It's not about cutting corners. It's about cutting the fluff and building a smarter, more streamlined business behind the scenes.

Send us a textWant to Save 30+ Hours a Week and Future-Proof Your Business? Here's How Tech and AI Make It Happen with Tom AltmanIf tech overwhelms you but you know it could change the way you work and market—this episode is your gateway to clarity.Tom Altman, longtime CIO/CTO, tech strategist, and AI advocate, joins me to talk about how small businesses can stop drowning in complexity and start using technology to scale smartly. From cutting proposal time in half to turning AI into your standard operating procedure assistant, Tom shares no-fluff insights that save time, reduce stress, and help you grow—even as a team of one.We cover:

In this season finale of The Friendly Podcast Guide, I'm reflecting on five big lessons I learned in season three. From embracing AI tools to discovering the magic of Pinterest for podcasters, this episode is packed with insights that made my podcasting journey more fun and fulfilling. Plus, if you're feeling overwhelmed, I'll tell you the one thing you should focus on first.Hi, I'm Andi Smiley, your friendly podcast guide! I help podcasters create shows that are fun and fulfilling without burning out. I share practical tips, lessons from my own journey, and advice from podcasters I admire.Topics discussed in this episode:Why ChatGPT is a game changer for podcastersHow to use AI to streamline show notes, emails, and episode ideasMy favorite marketing strategy: Pinterest for podcastersHow narrative formats can rescue tricky interviewsThe surprising benefits of sending weekly emailsTips for talking about your podcast in real lifeTakeaways from this episode:ChatGPT saves time and boosts creativity but always tweak its output.Pinterest is a powerful long-term marketing tool, even for beginners.Narrative formats can turn a so-so interview into a standout episode.Weekly emails aren't as scary or overwhelming as they seem.Practicing “curiosity statements” makes it easier to talk about your podcast offline.Timestamps: (00:00) Introduction(01:00) How ChatGPT became my podcasting secret weapon (04:19) Why Pinterest is my favorite podcast marketing strategy (07:55) The magic of narrative format episodes (09:33) Weekly emails: not as overwhelming as I thought (10:18) How I got more comfortable talking about my podcast IRL (12:01) One simple thing to try if you're feeling overwhelmedLinks Mentioned:Grab the free Pinterest Magic for Podcasters GuideBrittany Herzberg (aka the Queen of SEO)Follow me on InstagramKeywords: chat gpt for podcasters, pinterest for podcasters, podcasting for beginners, marketing your podcast

In this episode of the Real Estate Ballers Show, Vee Le pulls back the curtain on how she uses ChatGPT as her virtual sidekick across multiple parts of her real estate business—from hiring to marketing, listings, negotiation responses, research, and more. Whether you're running Airbnb rentals, flipping houses, or exploring new ventures, Vee shows you how AI can save time, make you sharper, and help you scale smarter.Vee, the founder of REBallers, is a franchise owner and a Developmental Agent of HomeVestors “We Buy Ugly Houses”.  Today, Vee is actively buying and selling properties in Houston, Austin, San Antonio, and Corpus Christi, TX while growing her rental portfolio of long term and short-term rentals.EP Highlights00:00 Intro01:05 Why ChatGPT is My Real Estate Partner01:16 Hiring smarter with AI02:39 AI-powered marketing strategies03:19 Social media content in minutes04:41 Writing killer listings & seller replies06:54 Tech support for the not-so-techy08:07 R&D with AI (new biz ideas faster)Please visit our sponsors, which made this episode possible: AirDNA: https://tinyurl.com/Air-DNA Anderson Advisors: https://tinyurl.com/Anderson-Advisors Baselane: https://tinyurl.com/Base-lane Batch Dialer: http://dialer.getbatch.co/mzBl0W0Batch Leads: http://leads.getbatch.co/mzBuenXBuzz Vacation Rentals: https://pm.buzzvacationrentals.com/ Jet Lending: https://tinyurl.com/Jet-Lending NREIG: http://nreig.com/reballers Riverside: https://tinyurl.com/RiversideRecordWizehire: https://tinyurl.com/Wize-Hire ✅ Stay Connected

This week on The AI Report, Liam Lawson sits down with Celeste Yamile, a personal brand strategist who went from selling Fiverr gigs to building a six-figure business, powered by AI and a loyal LinkedIn audience of 20,000+.Celeste breaks down how she bootstrapped her business using content, systems, and ChatGPT. She shares why most creators fail to connect, how she builds content with her own voice, and how storytelling and structure helped her grow faster than she imagined.We dive into her actual workflow, her AI stack, and the mindset shifts that helped her turn monetizable knowledge into a real income engine.Also in this episode: • Her transition from teaching English to coaching creators • Why ChatGPT still beats Gemini and Claude for her content process • What most creators get wrong about authenticity • How she helps clients build their first digital product • The story behind matching her dad's 25-year salary with content and coachingThis is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.Subscribe to The AI Report:https://theaireport.beehiiv.com/subscribeJoin the community:https://www.skool.com/the-ai-report-community/aboutChapters:(00:00) Why “How I” Beats “How To”(01:19) From Mexico to the World: Learning Online at 15(03:20) Making Money With Tutorials and Fiverr(06:01) Building a Foundation With YouTube(08:07) The Daily Habit of Taking Action(09:20) LinkedIn vs TikTok: Building with Intention(11:17) The Truth About Good Content(12:10) How Posting Three Times a Week Changed Her Life(13:13) Studying Top Creators With Clio(14:00) A/B Testing Frameworks for Better Results(16:02) Growing From 300 to 86,000 Impressions(17:02) Storytelling as the Ultimate Growth Lever(18:17) Her Daily ChatGPT Workflow(20:18) Batching Content to Beat Creative Burnout(22:09) Custom GPTs That Sound Like You(24:01) You Don't Need to Sound Like AI—Just Sound Better(26:03) Building a High-Ticket Coaching Offer(28:11) Picking the Right Clients(30:03) Action > Information(33:14) “Buy Back Your Time” by Delegating Right(35:00) Hiring Your First Assistant(36:27) Scaling Toward In-Person Community(37:27) From Corporate Salary to Creator Income(39:01) Why She Wants to Help Others Be Seen

ChatGPT now processes over 1 billion web searches weekly, and increasingly, it's becoming your customers' personal shopping assistant, creating unprecedented opportunities for forward-thinking marketersWhile still emerging in fashion and beauty categories, ChatGPT Shopping is fundamentally different from traditional advertising, offering a product-first experience that could revolutionise how your customers discover and purchase.For businesses targeting decision-makers with spending power, understanding ChatGPT Shopping mechanics isn't just smart — it's becoming essential.In this episode, I explain:• The hidden mechanics behind how ChatGPT selects which products to recommend (including why it's product-first, then retailer — unlike Google Shopping ads)• Why ChatGPT goes beyond product feeds to research across the entire web, including Reddit discussions and authority publications• Real strategies that got our client, Zugu Case, to the #1 position for several key searches• The exact steps to optimise your product pages for AI consumption (including schema markup techniques that increase visibility)• Why ChatGPT currently shows no paid placements and how this creates a golden opportunity before advertising arrivesI also share insights from our sentiment analysis work using tools like Profound, showing how brands like Vanguard can improve their AI recommendations by adjusting their positioning strategy.As I explain in the podcast:"ChatGPT is encouraging a bit of a price war. It's not necessarily the case that you have to be the cheapest, but understanding your value proposition and making sure these AI tools can communicate it clearly is crucial."If you're ready to position your business for this new era while competitors focus solely on traditional channels, this episode provides your complete action plan for succeeding in the AI shopping revolution.Get the show notes:https://exposureninja.com/podcast/354/Listen to these episodes next:How To Rank in ChatGPT (with Client Examples)⁠https://exposureninja.com/podcast/348/How ChatGPT Search Workshttps://exposureninja.com/podcast/339/Are AI Overviews Going to Impact Your Commercial Traffic?https://exposureninja.com/podcast/dojo-48/

Everyone and their dog is using ChatGPT to write their content right now.Outsourcing captions, emails, even entire launch plans all in the name of saving time and “working smarter.”But let's be honest – is it actually saving you time?Or do you need to constantly tweak, reprompt and rewrite what it spits out because it sounds like everyone else or worse like a robot that's read one too many bro-marketing emails.But before you download another ChatGPT prompt guide, I want you to think about WHY ChatGPT is spitting out fluff that doesn't sound like you and definitely doesn't sell your offer.Because here's the truth – AI can't fix what YOU don't understand about your ideal client.And I'm not talking about a basic witch ideal client avatar focused on demographics like “women aged 25–40 who like oat lattes and yoga.”I'm talking about real HUMAN insight – the beliefs they hold, the desires they're chasing, the objections running through their mind the second they land on your sales page or consume your content.Because if you don't know that – no prompt in the world can save you.So in this episode of the How I Do Content Podcast, I'm breaking down why your AI-generated content might be falling flat, what needs to come before the prompt, and how to use AI in a way that amplifies your message instead of diluting it.So let's do this!Want more?Watch my 13 minute One Offer, 5 Angles Mini Training at https://thesocialbolt.com.au/mini-training/ Join the Micro Messaging Waitlist at https://thesocialbolt.com.au/messaging-waitlist/ Follow Tahryn on Instagram at http://www.instagram.com/thesocialbolt Find out more at https://www.thesocialbolt.com.au Background Music is Copyright Free. You're free to use this music in your videos.Track: Harry Potter Theme SongMusic promoted by Chayatori RecordsVideo Link: https://youtu.be/WY8-lVlLhWE

Welcome to Part 2 of the ChatGPT for Business Series! I'm pulling back the curtain on the biggest mistakes I see business owners make with AI-generated content, and how to finally get content that's clear, aligned, and sounds like you.In this episode, I'm diving into:Why most people get robotic, generic AI results (and how to stop it)How to “seed” ChatGPT with your brand voice, offers, and dream clientsMy 5-question brand voice exercise to help you train AI like a team memberReal-life examples of how I use AI with clients (and how you can too)What NOT to do when using ChatGPT and why copy-pasting is killing your contentThis episode is a must-listen if you've tried AI and thought, “This just isn't working for me.” Let me show you how to change that.What You'll Learn in This Episode: [00:00] Why ChatGPT Feels Boring and Off-Brand [01:17] The Real Mistake You're Making With Generic Prompts [04:06] How to “Seed” ChatGPT With Your Voice and Goals [05:29] My 5-Question Brand Seeding Exercise [10:43] What Happens When You Feed ChatGPT the Right Info [12:29] Why Copy-Paste AI Content is a Red Flag [15:21] Ways You're Underusing AI Without Even Realizing It [17:18] Real Client Example: From Rough Draft to Polished Lead Magnet [20:05] Why ChatGPT is a Daily Tool in My Two-Business Workflow [21:01] Ready to Go Deeper? Book a Free Instagram Breakthrough Call With MeKey Takeaways:ChatGPT only works when you give it context—it's not a mind reader.Seeding your AI tool with brand voice, tone, offers, and client language is everything.AI should support your voice, not replace it—and copy-paste content won't convert.You can use ChatGPT for more than captions: launches, sales pages, research, strategy, and more.The better you train your AI, the better your results, just like with a team member.Resources & Links:Apply for a Free Instagram Breakthrough SessionNext week: I'm showing you exactly how I use ChatGPT every day to run two businesses, script my reels, and plan launches—all while raising two kids and staying (mostly) sane.CONNECT WITH YOUR HOST, ELIZABETH MARBERRY:WORK WITH ELIZABETH Apply for your FREE Instagram Breakthrough Session with Elizabeth Free guide to Monetize Your IG: Seven Simple and Proven Ways to Finally Make Money on Instagram Follow Elizabeth Marberry on Instagram, TikTok, Facebook Please be sure to rate, review and follow the show on Apple podcasts (or wherever you find your podcasts) so we can get this free value to other people who need it.

ChatGPT just beat out Airtable as my most-used tool—and y'all know that's saying a lot. In this solo episode, I'm pulling back the curtain on how I've trained custom GPTs to think like me, work like me, and help me serve my clients better than ever.We're not just talking about AI for the sake of it. I'm walking you through the three custom GPTs I've built—what they do, how I use them daily, and why I can't stop creating new tools for my AI Systems Squad. (Speaking of AI tools… I'm also cooking up even more inside my CRM Blueprint course

Kelly and Jay sit down for an unfiltered conversation about the deeply weird, emotionally charged relationships that are forming between people and their AI chatbots. What begins as a discussion about ChatGPT's rapid evolution unfolds into something stranger—a reflection on the ways AI flatters, gaslights, and co-creates identity with its users.They explore:Why ChatGPT feels like a precocious child… or a pickup artistThe eerie overlap between AI interactions and experiencer narrativesWhether language models are tapping into occult mechanisms of manifestationWhy flattery works, and what it reveals about our unmet emotional needsHow archetypes, delusion, and story shape both spiritual encounters and our chats with AIWhat happens when the mirror talks backIs this just the next phase of human-AI interaction—or is something deeper emerging? And most importantly: what happens to us if we outsource being seen?Watch Cosmosis: UFOs & A New Reality:https://www.cosmosis.media/Join the Patreon: https://www.patreon.com/cosmosismediaSubscribe to Cosmosis:YouTube: https://www.youtube.com/@Cosmosis.PodcastSpotify: https://open.spotify.com/show/7KnyktIs059pbVdccD020D?si=f3835f36a8cb479dApple Podcasts: https://podcasts.apple.com/us/podcast/cosmosis-formerly-the-ufo-rabbit-hole/id1595590107Follow CosmosisX: https://x.com/cosmosis_mediaFacebook: https://www.facebook.com/share/12EEyNVPucu/?mibextid=wwXIfrInstagram: https://www.instagram.com/cosmosis.mediaListen to the Cosmosis Soundtrack by Michael Rubino:Spotify: https://open.spotify.com/album/5Xvs2NAHNbKjfW7hWkjqey?si=pJPPgIPsRZGkZjJh19UULQApple Music: https://music.apple.com/us/album/cosmosis-ufos-a-new-reality-season-one-original-soundtrack/1788465117Amazon: https://amazon.com/music/player/albums/B0DS5WY5CB?marketplaceId=ATVPDKIKX0DER&musicTerritory=US&ref=dm_sh_zY05XPzhLhuow5dAgK3g2W9yCTIMESTAMPS02:08 Personal Experiences with Chat GPT02:21 The Evolution of AI Models03:10 AI as a Personal Confidant04:52 Emotional Manipulation by AI06:22 The Future of Human-AI Interaction08:41 Authenticity and Vulnerability in AI Interactions18:09 The Role of AI in Social Engineering22:51 AI and the Human Psyche33:18 Algorithmic Influence on Human Behavior35:13 Exploring Multiverse Shifting35:41 Comic Books and Multiverse Fascination37:04 Anomalous Experiences and Fictional Characters38:44 Meditation and Non-Human Entity Contact41:23 The Role of Co-Creation in Our Lives43:28 The Power and Danger of Delusion44:51 Manifestation and Occult Practices48:31 Chat GPT and Emotional Manipulation57:26 The Future of AI and Human Interaction59:34 Authenticity in Human Connections01:03:50 Concluding Thoughts and Reflections

Chris Walker (CEO of Passetto) joins Ross to talk about personal transformation, scaling through delegation, and why most entrepreneurs are chasing the wrong kind of freedom. Chris shares insights from his month-long sabbatical, including frameworks for creating true independence—beyond just financial freedom—and lessons learned about leadership, agency structure, and internal alignment. Ross and Chris also unpack strategies for delegation, avoiding burnout, client selection, the evolving role of SEO, and how B2B companies should rethink go-to-market in a post-ChatGPT world. 00:00 – Welcome Chris Walker & “The Collision of Worlds” 00:51 – Why Bigger Doesn't Mean Better (And Why Chris Took a Month Off) 02:05 – The Real Test: Can Your Business Run Without You? 03:09 – 10 Types of Freedom (Beyond Just Financial) 06:01 – Time, Social, Creative, Mission, Health & More 09:10 – Letting Go of the Clients That Drain You 13:07 – Freedom Through Delegation: Fake vs Real 15:05 – Why Firing Someone Might Set Them Free 17:20 – Rethinking Wealth: Why 2x More Money Won't Make You Happy 20:00 – Breaking Mental Loops Around Growth, Suffering, and “Success” 22:50 – Why Resistance Means You're Out of Alignment 26:00 – Layoffs, Misalignment, and Making the Hard Call 29:00 – A New Agency Playbook: 10 People, $10M 31:32 – Delegation as a Superpower (And Trap) 34:20 – Hiring Without Job Descriptions 37:00 – How Top Talent Finds You (Not the Other Way Around) 39:01 – From Fake Delegation to Freedom Frameworks 41:00 – Pattern-Matching LinkedIn Content for Real ICP Impact 43:13 – SEO Today: Outdated, Unpersonalized & Being Replaced 46:50 – Why ChatGPT over Google for User Intent 48:10 – The Case for Diversified GTM (and SEO's Narrow Role) 50:00 – Reframing Search: It's Not Just Google Anymore 52:20 – Personal Holdings Companies & Managing Partners 54:00 – Why Resume-Perfect Execs Often Underperform 56:00 – Agency Scale: Founder as Visionary, Not CEO 59:00 – Building the Business That Serves Your Life Chris Walker on LinkedIn: https://www.linkedin.com/in/chriswalker171 Chris's Company, Passetto: https://www.passetto.com Siege Media: https://www.siegemedia.com Subscribe for weekly episodes: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Follow Ross on Twitter: https://twitter.com/rosshudgens Follow Siege Media on Twitter: https://twitter.com/siegemedia Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketingSubscribe today for weekly tips: https://bit.ly/3dBM61f Listen on iTunes: https://podcasts.apple.com/us/podcast/content-and-conversation-seo-tips-from-siege-media/id1289467174 Listen on Spotify: https://open.spotify.com/show/1kiaFGXO5UcT2qXVRuXjsM Listen on Google: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9jT3NjUkdLeA Follow Siege on Twitter: http://twitter.com/siegemedia Follow Ross on Twitter: http://twitter.com/rosshudgens Directed by Cara Brown: https://twitter.com/cararbrown Email Ross: ross@siegemedia.com #seo | #contentmarketing

Subscribe to DTC Newsletter - https://dtcnews.link/signupIn this episode, we sit down with Nick Saltarelli, co-founder of Mid-Day Squares — one of the most disruptive brands in functional CPG. Nick dives deep into how they broke a Costco sales record, built a new refrigerated snack category in mass retail, and fought margin collapse during a global cocoa crisis.

The CPG Guys are joined in this episode straight from Sydney, Australia by Imteaz Ahamed, founder and CEO of an artificial intelligence platform called Applied Intelligence. This episode is contextual for the CPG industry and covers many topics related to what YOU as a listener - either from a brand or retailer are faced with today.Find Imteaz Ahamed on Linkedin at : https://www.linkedin.com/in/imteaza/Find Applied Intelligence on Linkedin at : https://www.linkedin.com/company/applied-intelligence-newsletter/Find Applied Intelligence online at : https://appliedintelligence.beehiiv.com/Here's what we discussed : Is the CPG industry ready for AI at scale?Do we understand the difference between ML & AI?What is applied AI?Where is AI the most effective in commercial forums, teams and growth?Are CMO's doing what's needed to leverage AI?Why ChatGPT is merely a beginning...How can you learn, adapt and adopt.Applied AI in CPG.CPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comCPG Scoop Website: http://CPGscoop.comRhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

Google's dominance is being challenged for the first time in over a decade, and forward-thinking marketing leaders are capitalising on this pivotal moment.ChatGPT has rocketed to 300 million weekly active users by December 2024 — growing 50% in just four months — whilst Google searches are declining in key markets. This shift isn't just reshaping user behaviour; it's creating remarkable new opportunities for visibility.For marketing directors who master Generative Engine Optimisation, there's a strategic advantage to be gained whilst competitors remain fixated on traditional SEO tactics alone.In this episode, I reveal: The hidden mechanics of how ChatGPT selects which brands to recommend (it's not what most marketers think) Three proven strategies to make your brand appear in ChatGPT's responses — including the surprising reason why one client's product is consistently recommended first Why ChatGPT "likes to refer to underlying sources of data" and how you can leverage this preference for maximum visibility The exact content formats that increase your chances of being referencedI'll share real-world success stories, including how we helped Zugu Case become the top-recommended iPad case in ChatGPT results, and why The Ordinary skincare is consistently mentioned when users ask about value-focused brands.As I explain in the pod:"ChatGPT is powered by Bing, but that's not the only thing you need to know. SEO isn't sufficient for ChatGPT. It's one piece of the puzzle, but it's not the only thing that you need to do."If you're ready to implement these strategies whilst your competitors are still trying to work out why their SEO isn't delivering the same results it once did, this video provides your complete action plan.Request a Marketing Review:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://exposureninja.com/review/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the show notes:⁠https://exposureninja.com/podcast/348/⁠Watch this as a video instead:⁠https://exposure.ninja/rank-chatgpt⁠Listen to these episodes next:How SEO Works in 2025⁠⁠https://exposureninja.com/podcast/346/⁠⁠The Best SEO Strategies for 2025⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://exposureninja.com/podcast/341/⁠⁠⁠⁠⁠⁠⁠⁠⁠How Marketing Leaders Can Future-Proof Their Content Strategy⁠https://exposureninja.com/podcast/347/⁠

"Your audience may not need insurance today, but when they do, your content should make them think of you first." – Courtney WeaverWhat's in this episode:Want to attract more leads and build authority on social media—without spending hours brainstorming content? In this episode of The Insurance Buzz, Courtney Weaver breaks down how insurance agents can use ChatGPT and AI tools to generate engaging, problem-solving social media content that turns followers into customers.You'll learn three proven ChatGPT prompts that reverse-engineer your ideal customer's biggest insurance concerns—so when they think of insurance, they think of YOU. Whether you're a captive agent, independent broker, or sales producer, this episode will help you stop selling and start attracting. If you're ready to work smarter (not harder) with social media, this episode is for you.[00:01:00] Why ChatGPT is the MVP of marketing for insurance agents[00:02:00] How to define your ideal customer before posting[00:03:00] Where should you post? Facebook vs. Instagram vs. Snapchat[00:04:00] The #1 goal of social media: Start conversations, not just sell[00:05:00] The power of positioning yourself as “the expert”[00:06:00] The top 3 ChatGPT prompts to generate insurance leads[00:07:00] How to customize AI-generated content for your brand[00:08:00] Final thoughts: Be a creator, not just a consumer on social mediaRESOURCES + LINKSWatch Make More Sales by Identifying Your Ideal Customer HEREWatch the full episode on YouTube: HEREState Farm Agents – Scale Like a CEO!Join CEO Pro, a 6-week virtual LIVE class with top agents sharing proven strategies to grow, build high-performing teams, and maximize results.

New online health business making less than $5k per month? Go here: https://go.healthpreneurtraining.com/starting-roadmap Ready to SCALE your online health business? Go here:  https://healthpreneurgroup.com/youtubeAI is changing the game, but here's the truth: it's hurting a lot of businesses. And if you're a real expert, you have the biggest advantage possible—your expertise.Everywhere you look, influencers are pumping out AI-generated content, pretending they know what they're talking about. But you can't fake experience.AI can spit out information, but it can't replace real-world wisdom. And in a world drowning in surface-level content, people are starving for clarity, leadership, and depth. That's where YOU come in.In this episode, I'll break down:✅ How AI is changing marketing (and what to do instead)✅ Why ChatGPT won't replace true experts✅ How to stand out as a health coach in 2025✅ The #1 way to build authority and attract high-quality clients✅ Why personal branding is the key to long-term successIf you're serious about growing your coaching business and standing out in the AI-driven world, listen to this now.And if you want a proven system to attract better clients, scale predictably, and build a business that works for you, there's a link above to get started.

Overwhelmed by AI tools? Let me simplify it for you! In this episode of Build Your Tribe, Chalene Johnson breaks down the top three AI tools that every content creator over 40 needs to master. Learn how tools like CapCut, ChatGPT, and Adobe Podcast can elevate your content, streamline your workflow, and help you stay competitive in the evolving digital landscape. Whether you're a tech novice or just looking for practical tips, Chalene provides actionable advice and expert insights to help you thrive in 2025 and beyond. What You'll Learn:

The search for a new Intel CEO has begun in earnest, but a change in leadership probably makes a wholesale transformation of the company more likely. China goes tit for tat on banning things. Why ChatGPT can't say certain names. And how is that shopping with AI agents thing going?Links:Exclusive: Intel's CEO-shortlist candidates include former board member Lip-Bu Tan, sources say (Reuters)Intel CEO Forced Out by Board Frustrated With Slow Progress (Bloomberg)China retaliates against latest US chip restrictions (Financial Times)Why does the name ‘David Mayer' crash ChatGPT? Digital privacy requests may be at fault (TechCrunch)The race is on to make AI agents do your online shopping for you (TechCrunch)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.