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  • The GEO Show

    Google AIO & AI Mode only overlap 10%

    Welcome to episode 40 of The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this episode, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers seven stories: agentic web search that varies by model, Server.ai's expansion into referrals and crawler logs, Google AI Overviews vs AI Mode as separate citation ecosystems, first-party logs that undercut raw crawler counts, Share of Model as a competing KPI, an open-source Python package for citation measurement, and a Catalyst recommendation benchmark where Peak outpaces Profound and AirOps. In this episode: 🔬 Agentic search varies radically by model In a controlled 1,000-prompt experiment, Claude Sonnet 4.6 invoked search 825 times versus 140 for ChatGPT 5.3, roughly 6X. More search did not reliably mean better answers, and used evidence did not always match citations. Measure the retrieval life cycle, not only the final answer. 📡 Server.ai expands into referrals, crawler logs, and API Updated September 20: Server.ai documents AI referral tracking across 13 platforms, crawler log import via user-agent patterns, citation and competitor monitoring, plus a REST API for visibility data. APIs are becoming commodity even among smaller vendors. Verified crawler identity and confidence intervals matter more. 🔀 Google AI Overviews and AI Mode barely share citations SE Ranking found 10.7% URL overlap and 16% domain overlap between AI Mode and AI Overviews. Ahrefs measured 13.7% citation overlap on a larger paired set. Even inside Google, AI visibility is not one surface. SignalForge inside GEOforge already separates them. 📉 Crawler counts are a weak proxy for AI discovery E-commerce Fast Lane analyzed 14 days of logs: 49,559 crawler visits, roughly 100 from OpenAI, Anthropic, and Perplexity bots. ChatGPT referred 613 human sessions while crawling the site only 55 times. Correlate bots to indexation, citations, answers, and referrals before assigning meaning. 📊 Share of Model challenges blended Share of Voice Monroyia's dataset covers 20,996 buyer questions, 143,298 cited sources, 41,397 domains, and four models. Share of Model is the percentage of sampled answers naming a brand, broken down by model and buyer stage. Vendor-owned pages claimed well under 1% of sources (vendor research; needs replication). 🐍 AI citation measurement ships as open-source Python PyPI released version 0.29.0 of an early-release open-source package for measuring and improving citations across ChatGPT, Google AI Overviews / AI Mode, Perplexity, and Claude. Basic AI search measurement is moving from SaaS-only features toward developer building blocks. We still call the category GEO. 🏆 Peak beats Profound and AirOps on one recommendation board Catalyst's leaderboard (618 answers, 12 buyer questions, 5 platforms) showed 7-day averages of Peak 58.1%, Profound 15.9%, AirOps 9%. One-day noise is roughly 15 percentage points. Commercial traction and AI recommendation rates are not the same thing. Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube: https://www.youtube.com/watch?v=pp6AzglZgFs 💬 Question: Are you still blending Google AI Overviews and AI Mode into one AI visibility score, or measuring them as separate citation ecosystems?

    Today · 14 min
  • Change Lives Make Money: For Business Owners Who Want to Grow and Sell on Social Media

    #1393- "He's So Lucky..."

    -------- For more information on working with me fill out this application: http://bit.ly/BuildYourOnlineFitnessBiz ------ LET'S CONNECT: YouTube | @therealbrianmark Instagram | @therealbrianmark Facebook | Brian Mark

    Today · 15 min
  • Good Content with Shannon McKinstrie

    Creating Content For An Interest Based Algorithm

    Rumor has it that social media as we know it, is dead. In a sense, yes, social media is dead as we once knew it, but social media is still a place to be social and it’s still a place to build community, it just looks a lot different from what it was six to ten years ago. Now, instead of seeing all your friends and their new dog or their vacation, our feeds are interest based, which means we are seeing content around what we are showing interest in. If I send my husband a golf video, I’m going to be seeing a lot of golf related videos on my feed. So, what does that mean for you as a content creator? I’m breaking it all down for you in this episode. In this episode we’ll be covering: How the algorithm adjusts to your interests to keep you engaged and on the app longer. Don’t stress out about losing followers, let’s change the perspective on what it means when someone chooses not to follow you anymore. Start sharing your interests on social media, I’m giving you permission, because there is more to you than just business. Get to know your people and know them really well. Post in stories, ask questions, pay attention, and listen to what people are talking about. What conversations are happening in your industry? Take the time to listen to what people are frustrated with or what they are excited about. Recommended episodes: Episode 84: Train the Instagram Algorithm to Hype Up Your Content Episode 95: Building Real Community with Stories and Shared Moments Episode 103: Hot Take: We’re Following Accounts Where We See a Reflection of Ourselves Episode 106: Spark Conversations with Reels Your Audience Will Want To Respond To Episode 109: The Human Side of Content That Sells Episode 124: Have More Conversations and Let Your Audience Shape Your Content Send a message! If you use the send a message option above, be sure to include your email address if you would like a reply! (Please allow 3-5 business days for a response) Join me in the Reels Lab! Love this conversation? Make sure to follow and subscribe so you never miss an episode. Connect with me on Instagram!

    Today · 8 min
  • Humans of Martech

    238: The System to make your prospects the hero before they buy, with Aditya Vempaty

    What's up everyone, today we have the pleasure of sitting down with Aditya Vempaty, VP of Marketing at Coram AI. (00:00) - Intro (01:07) - In This Episode (05:05) - Why Expansion Revenue Beats New Logos When Channels Are Saturated (06:07) - Why Customer Empathy Means Knowing What Gets Your Buyer Promoted (12:38) - How to Tell If Your Case Study Makes the Customer the Hero (18:16) - Why Single Channel Attribution Hides the Journey That Closed the Deal (22:00) - How to Find Real Customer Problems by Paying for 30 Minute Interviews (30:29) - The 3 Levels That Connect Marketing Strategy to Tactical Execution (36:32) - Why Implementation Speed Is the Real Answer to a Migration Objection (42:12) - The ABM Play You Can Build From Your Closed Won List Today (48:46) - How Marketing Leaders Get a Team to Actually Adopt an AI Tool (53:26) - How Marketing Leaders Decide What Deserves Their Energy Summary: Aditya has built marketing functions and named categories from nothing at Synthego, Amplitude and Nutanix, and he shows up here to argue that the loud top of funnel work is now the cheaper half of the job. He takes apart the make your customer the hero cliche with a test you can run on any case study in about 4 seconds, then explains why he pays customers $100 for 30 minutes before he will even look at the product he was hired to market. There's a story about harvesting a competitor's free tier badge off customer websites, a telco onboarded in 6 weeks, and a VP of marketing spending 15 minutes making a poster so his team would actually use AI. He also has a very short answer for what your ChatGPT persona document is worth. Stick around for the part where 95% product parity turns into the only argument that reliably wins a migration deal. About Aditya Vempaty Aditya Vempaty is the VP of Marketing at Coram AI, an AI physical security platform running across more than 1,500 locations. Before that he spent 3 years as VP of Marketing at MoEngage, where the company grew from $58M to $100M in ARR. Earlier in his career he built the marketing function and named the category at Synthego, Amplitude and Nutanix, work that spans 2 IPOs and several unicorns. He also invests as an angel, mentors at First Round Capital, and is known for 2 rules he repeats often: market the problem first, and distribution is the strategy. Why Expansion Revenue Beats New Logos When Channels Are Saturated Every marketing team has a number on the board for new logos. Far fewer have one for what happens to a customer 6 months after the contract gets signed. That made sense when acquisition was cheap and a paid dollar reliably bought you a lead. Channels are crowded now, budgets are flat, and the math has moved. Aditya has spent his career at the loud end of marketing. He helped name the product analytics category at Amplitude. He helped define the agentic customer engagement platform at MoEngage. Those are top-of-funnel plays, the kind where you plant a flag and get the industry to repeat your words back to you. So it's a fair question why the category creation guy now spends his time talking about heroes, lifecycle and retention. His answer is arithmetic. For a marketer defending a budget, the second half of that sentence matters more than the first. Cheaper is the obvious part. Easier to show impact is the part that should change how you plan. Every acquisition attribution fight you've ever lost, where the CFO wants to know which of your 6 channels made the lead buy, goes away when the account is already in the building and you can see exactly what they did and didn't adopt. The shape of the products matters too. Amplitude and MoEngage are both multi-product suites. Customers land on one thing, get value, and then expand into the rest. So the second, third and fourth sale are already sitting inside your customer base, and nobody has to be convinced you exist. Aditya points to HubSpot's version of this, where the funnel is a loop rather than a line, and treats the loop as the actual revenue machine instead of a diagram in a deck. Here is the uncomfortable version. Most B2B marketing orgs are staffed and measured around the most expensive, least provable part of the job. If expansion is where the margin actually is, the demand gen team should carry a retention or adoption number, and most demand gen teams would fight you hard on that. Key takeaway: Pull the last 4 quarters of revenue and split it into new logo, expansion and renewal. If expansion is the bigger line and nobody in marketing carries a number against it, claim it before the next planning cycle starts. Pick the one product line your existing customers adopt second and build the campaign for that. Why Customer Empathy Means Knowing What Gets Your Buyer Promoted Customer empathy is the most repeated phrase in B2B marketing and the least examined one. It shows up in every kickoff deck, every messaging workshop, every values page. Ask what it produced and you usually get a persona document nobody has opened since it was made. Aditya spent years on the vendor side of exactly this, at 2 companies that sit in the middle of the funnel where marketing ops and lifecycle people live. He saw how the sausage gets made, and he came out of it with a low opinion of the word. What replaced it is much more specific and much more useful. Sitting inside those companies taught him that the thing worth understanding about a buyer is their job justification. How does this person prove they were worth their salary this year? How do they get promoted? Your product either helps them say that sentence out loud or it does not. At Amplitude the answer was retention. Product managers in B2C couldn't track what they were doing and couldn't justify their own existence and investment. The industry was obsessed with mobile acquisition at the time, so the question that actually kept a PM up at night was how to keep the users they had already paid for and how to show the product was giving those users value. Amplitude built the whole marketing motion around that metric because that metric was the PM's career. At MoEngage the pain had moved. Retention was table stakes by then and everyone was already on mobile and web. The problem had become execution across channels, and the version Aditya describes is painfully familiar to anyone who has run campaigns at a big company. You have every channel available to you and no ability to say what you actually did. He describes marketers who legitimately can't come back and report which campaign hit, where it hit, and which users it reached across the full cycle. Teams operated as channel owners rather than as one coordinated effort. Then he gives the number that makes it real. One customer took 6 weeks to launch a campaign, because getting the segments required 20 people on a SQL query team pulling across 5 databases. 6 weeks. For a campaign. That's the daily texture of the job for the person you're selling to, and no amount of empathy language on a website touches it. Here is the payoff. When your product lets someone explain their value in a simple way that other people understand, they stop being a customer and start being an advocate. As Aditya says, they will rave about you because you made their life easier and their job explainable. Most vendor positioning is aimed one level too high. It addresses the company's pain, churn and efficiency and cost, while the person signing the order form has a smaller and more urgent problem, which is that they can't prove what they did last quarter. That mismatch is why so much martech messaging reads as true and lands as nothing. Key takeaway: Write down the exact sentence your champion would say in ...

    Today · 58 min

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