BusinessMarketingTechnology

The GEO Show

Paris Childress - GEOforge

All things Generative Engine Optimization (GEO). A breakdown of all that's happening in the world of AI search.

Play

Open in

59 episodes
Avg 25 min
English

Episodes 59

Newest Oldest Longest

All20 Unplayed20 In progress0 Played0

Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.

S1 · E55
Saturday · 20 min
Clarity Beats Schema for AI Recommendations
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo episode, Paris Childress, founder of Hop AI and co-founder of GEOforge, walks through this week's top GEO stories, led by a 1,089-brand study that finds clarity beats schema markup for AI recommendations. In this episode: 🧩 Clarity beats schema markup First Page Sage tested 4,213 commercial prompts and 657 agent shortlisting tasks across 1,089 brands. Clear offerings and suitability lifted AI recommendations by 11.2 percentage points and consistent brand information by 9.4, while generic schema added just 0.4. FAQ schema and llms.txt showed no measurable lift. 🔎 AI Overviews take over branded search DemandSphere saw the share of its tracked branded keywords with an AI Overview jump from 26% on September 1 to 82% on September 29. Searches for your own brand name are no longer safe from AI summaries. 💸 Publishers start getting paid for AI answers Cloudflare's Pay Per Use beta lets AI companies pay publishers per cited answer, agent report, or shopping recommendation. Google is reportedly paying about 100 publishers based on how much their content contributes to AI Overviews, AI Mode, and Gemini. 📡 A common event model for AI content telemetry The SPUR Coalition of publishers released version one of a standard that tracks content being retrieved, grounded, cited, presented, and engaged with. ⚖️ Chegg and Penske Media suits dismissed Judge Amit Mehta dismissed the antitrust suits over AI Overviews, so licensing, technical controls, and commercial deals are more likely to shape the market. 🛒 Safeway shopping inside ChatGPT Albertsons and OpenAI turn a recipe or list into a cart and checkout, a sign that commerce GEO will need product-level measurement. 📊 ChatGPT ads attribution gaps Agencies report conversions and clicks that don't match ChatGPT's own numbers, which keeps ad budgets in test mode. 🤖 From share of voice to share of conversions Publishers now sell GEO services, Profound studies personal shopping agents like Meta Muse, and Paris argues that proactive, always-on agents will make share of voice a short-lived KPI. Catch Paris at BrightonSEO on Thursday, October 8, at 9:30 AM, speaking about information gain. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/hCl1-SqgR-c 💬 Question: If schema alone doesn't move AI recommendations, how clearly does your site say what you offer and who it's for?
S1 · E54
Friday · 50 min
AI Can't Keep Up With Live Legislation
Welcome to 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, talks with Miranda Hoover, founder and CEO of 3C-House, a Nevada government affairs, lobbying, PR, and business development firm, about why AI can't keep up with live legislation, and what a real-time data feed for AI could look like. In this episode: 🔎 From SEO to GEO: is the answer reliable? People now ask AI instead of searching, so Miranda's team checks whether AI answers about a business are reliable, secure, legal, and right. Her rule for clients: trust it, but verify it. 🏛️ Why AI answers lag on live bills Miranda explains that for a live bill, AI relies on one or two official websites, and the staff who update them fall behind when legislation moves fast. She recalls a client whose ChatGPT answer placed a bill where it had been 35 minutes earlier. Bill tracking software sources the same sites, so it shares the lag. 🧑‍⚖️ Why AI won't replace lobbyists yet Lobbyists sit in the room where bills move and decisions are made in real time. Until AI can follow who is speaking and the nuance of each chamber, Miranda says, her industry is safe. 📡 A real-time legislative data feed for AI Paris and Miranda sketch a business: AI recorders in legislative sessions feeding a real-time database that AI labs license, the way X feeds Grok. It could be the next generation of bill tracking software, delivered through an MCP connector instead of an interface. 🛠️ How 3C-House uses AI Otter.ai for every meeting, Claude across the team (drafting emails into drafts only, weekly automations, project trackers), Claude for building in-house projects, and HeyGen for AI avatars. 🧠 A central AI brain for your company Paris wants every meeting transcript, chat, email, and document in one AI system that can flag hidden risks and suggest priorities. He also shares how GEOforge's features have been built with Claude Code since April. 🤖 When agents start the conversation Proactive assistants like Meta Muse and OpenAI's Dots will start more conversations themselves, which makes prompt tracking and attribution harder, even as AI matters more as a marketing channel. 🎙️ Start recording every meeting Paris's one piece of advice: record your meetings. The spoken words in every client, prospect, and internal meeting are your company's most valuable context for AI. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/WVZd5miX9LE 💬 Question: If AI only trusts a few official sources in your industry, what would it take for your data to become one of them?
S1 · E53
Thursday · 16 min
Always-On AI Agents Will Outgrow Prompt Tracking
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers nine stories from the week in AI search. The lead story: OpenAI's always-on Dots agents, and why prompt tracking will capture less of a brand's AI visibility as agents do more of the prompting. In this episode: 🤖 OpenAI Dots and the future of prompt tracking OpenAI launched Dots on September 29: always-on agents powered by GPT-6 Astra, each with its own cloud computer and access to more than 4,000 apps. As agents start conversations on their own, stateless prompt tracking becomes a less complete picture of a brand's AI visibility. 🔎 Perplexity trains retrieval to return evidence Perplexity released pplx-embed-v2-context-9b-preview on September 30, a contextual embedding model trained to retrieve both the answer chunk and the supporting context. The unit being optimized for retrieval is becoming an evidence bundle, not an isolated quotable paragraph. ⏳ The median AI citation half-life is 11 days Profound tracked 883,000 pages across seven AI engines. The median page loses half its citation share within 11 days of peaking, and 78% fall to half their peak within two weeks. Engines decide independently, so watch citation persistence and refresh or replace pages as they decline. 🏘️ Third parties win commercial citations In Writesonic's analysis of 9 million AI answers for 400+ enterprise brands, published on Search Engine Land, third-party sources got 82% of citations on bottom-of-funnel commercial prompts and owned pages just 3%. Owned citations lasted 3 to 9 times longer. The data comes from Writesonic customers, not the whole market. 🔌 Buyer intent data inside AI tools Informa TechTarget launched an MCP server for its Buyer Intelligence, bringing person-level intent data from its audience of about 58 million permissioned members into Claude, ChatGPT, Copilot, Gemini, and custom AI systems. 📊 AI visibility moves into communications reporting 10Fold launched MetricsMatter 5.0. In its survey of 400 US and European B2B technology marketing decision-makers, 58% include AI search or LLM visibility in integrated reporting, but only 38% connect communications and visibility metrics to pipeline or revenue. Paris's fix: add an AI chatbot option to "How did you hear about us?" on your lead form. 📰 PR distribution meets GEO measurement Brandpoint launched Optimize360, which tracks AI visibility with more than 30,000 prompts a month per brand. Brandpoint advertises a network of 3,000+ publications and 800+ guaranteed placements, the hardest part of off-site citation building. 🏭 Vertical GEO needs vertical logic Zen Media ran 1,000 industrial automation buyer prompts across ChatGPT, Gemini, Perplexity, and Grok. The top 100 vendors averaged 4% visibility, versus 21% for Siemens, and distributors and authorized channels showed up prominently. 🇦🇺 Source authority is local Findrix's Australian AI Source Index covers 23,396 buying prompts in nine markets. More than 85% of retrieval in clinics, home services, and finance and accounting came from .au domains, versus 32.9% in B2B software. There is no universal best-sources list. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/t6YnwMMyMe4 💬 Question: How will you measure AI visibility when agents, not people, start the conversation?
S1 · E52
Thursday · 18 min
Comparison Pages Win B2B AI Citations
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers eight stories from the week in AI search. The theme: the category is moving from "can you track AI" to "can you measure the right market and influence the right sources." In this episode: 📏 More prompts beat more runs Peec AI analyzed about 120 million chats from February to August 2026. With the same 1,500 monthly runs, 50 prompts run once daily gave about plus or minus 6.1 points of monthly uncertainty, versus 13.2 points for 10 prompts run five times daily. Peec's advice: group branded and non-branded prompts, judge the portfolio over time, add prompts before adding runs, and freeze the prompt set. 📑 Comparison pages dominate B2B citations Foundation and AirOps tracked about 380,000 AI answers and 3 million citation events across 81 B2B software categories and six AI surfaces. Vendor domains were the largest source class, and comparison pages or listicles made up 84 of the 100 most cited URLs. Source strategy is engine-specific and category-specific. 🛍️ 66% have used AI for product research An Emplifi survey of 1,638 US and UK consumers found 66% have used AI tools to research products or find gift ideas, and 11% now start product research with AI. Semrush estimates AI referrals to 30 major US retailers grew 190 times from June 2023 to June 2026, now about 8% of the basket's social referral traffic. 🏛️ The right source changes with the question BrightEdge grouped a US insurance prompt panel into four question types. The insurer's own domain won the citation only for branded queries; government, clinical, and HR sources owned the others. Some query classes have authority owners that are very hard to displace. 📢 ChatGPT ads are already heavily B2B Business Insider reports Graphite's analysis of Similarweb panel data from March to August: business software was almost 20% of observed ad impressions, and fewer than half of ad-eligible users had been shown an ad at all. 📋 Boards are asking, few have a plan Yext cited a Corporate Ink survey: 88% of CMOs and VP-level marketers are being asked by leadership or the board about AI visibility, but only 34% of marketers surveyed have a defined strategy. That gap is the opportunity. 🎯 Google closes the AI Max migration window Eligible Google Ads campaigns moved to AI Max during September. Google says the full AI Max suite delivered an average of 7% more conversions or conversion value at a similar CPA or ROAS, based on its internal data. 🧩 A crowded category on G2 G2's September snapshot lists 642 products in its category for optimizing brand visibility in AI answers, from SEO incumbents to reputation platforms and dedicated AI search vendors. Reviews on G2 are some of the most important citations B2B SaaS can build. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: 💬 Question: Are you tracking more prompts, or running the same prompts more often?
S1 · E51
Thursday · 34 min
AI Citations Aren't SEO Rankings
Welcome to 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, sits down with Simon Yong of Question.Marketing to talk about why AI citations behave nothing like SEO rankings, and why YouTube may be the shortest path to AI visibility. In this episode: 🤖 Grok vs Claude for agent workflows We compare notes on running real workflows through Grok and Claude: Grok works through one task at a time, while Claude handles several in parallel. Agents are now pitching podcasts on our behalf, and a GrokBot screens guest pitches before anyone books an intro call. 🎙️ A podcast is a content engine Starting a show gives you long-form video on day one and many channels to repurpose into. Guests start pitching you, and some become customers. Simon's new show already turns up in Google for its own topic. ⏳ AI citations are not SEO rankings Rankings used to stick for years. Citations fade and get replaced by fresher links. Profound's Citation Decay data says half of the content cited by answer engines is less than 13 weeks old, which means late entrants always have a chance. We also discuss whether AI engines rotate a small set of trusted answers. ▶️ YouTube is the shortest path to AI visibility A video that nails a topic can show up in Google AI Overviews almost immediately and bump out older videos. Simon explains YouTube's audition dynamic, and Ahrefs Brand Radar names YouTube the most cited domain in AI Overviews. 🛒 Checkout inside Google's AI experiences TechCrunch reported Google testing a Buy button on select Flipkart listings in Gemini and AI Mode in India, opening a Flipkart-branded checkout without leaving the AI interface. (On air, Paris says Instacart; the partner is Flipkart.) 📣 Do ChatGPT ads lift citations? Simon shares an unproven rumor that running ChatGPT ads raises citations and mentions. We talk through the more likely indirect effect: ads that drive engaged, converting visits can send strong signals. 🐷 AI slop vs truffles We are writing for machines now, not human readers. Most new content is slop; the opportunity is information gain, the truffles AI is hunting for. 🧠 A knowledge base built from recorded meetings GEOforge feeds a persistent knowledge base from sales calls, support logs, and interviews. Record everything, and AI can surface the great idea from a meeting the CEO never attended, or mine your best salesperson's calls for training. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: 💬 Question: Are you still treating AI citations like rankings, or refreshing the content you want AI to cite?
S1 · E50
Tuesday · 14 min
Your AI Citations Have a Half-Life
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers nine stories from the week in AI search, led by Profound's new data showing that AI citations have a half-life. In this episode: ⏳ Your AI citations have a half-life Profound launched Citation Decay inside Answer Engine Insights. It calculates daily citation share on a rolling two-week average and tracks a URL's first citation, rise, peak, and half-life. Profound says half of the content cited by answer engines is less than 13 weeks old, which makes content refresh a major part of GEO strategy. 💳 Ramp spend data on GEO software buyers Ramp's September category data puts Profound at 52% purchase incidence among Ramp customers buying GEO software, followed by Peec AI at 18%, AirOps at 17%, Scrunch at 9%, and AthenaHQ at 4%. AirOps is the most switched-to vendor with a 29% competitor switch rate. The data covers anonymized spend across 70,000 businesses and is not total market share. 🧭 Citation leaders that miss entire engines Machine Relations analyzed 96 category leaderboards across six AI engines. Only 49 winning domains were cited by all six, 47 of 96 were absent from at least one engine, and three ranked number one despite being absent from Gemini, Google AI Mode, and Google AI Overviews. Measure visibility by engine, not in aggregate. 🔗 40% mentioned, 0% cited in ChatGPT MarketScale's September 28 snapshot covers 420,822 responses across 11,030 prompts, 152 projects, and five engines. In its tracked B2B sample, ChatGPT mentioned brands in 40% of responses but recorded a 0% brand-controlled citation rate. Gemini showed 25% mentions versus 12% brand citations, and Perplexity 22% versus 25%. 🥇 Brands are AI's first choice in only 29% of answers Leoprd analyzed 31,200 AI responses across 27 brands, seven categories, and eight platforms. On brand-agnostic recommendation questions, brands were missing in 36% of answers, mentioned but passed over in 35%, and the first choice in 29%. Only 40% of repeated tests returned the same recommendation every time, and 86% of cited sources were external to the brand's own channels. 📍 Local AI recommendations vs Google's local rankings Andrew Ryan Marketing sent the same local buyer query to four AI engines five times across 12 business categories in three US cities, for 720 answers. Of 673 resolvable recommended businesses, 60.5% appeared in neither Google's local 3-pack nor its organic top 10. The test ran on one day in three cities, so the figures should not be generalized. 🛒 Google tests a Flipkart buy button in India TechCrunch observed a limited Google experiment in India where some users see a buy button on selected Flipkart products inside Google's AI experience, opening a Flipkart-branded checkout without leaving the AI interface. Google has not announced a general rollout. 🧩 Google replaces Gems with Gemini Skills According to TechCrunch, Gemini Gems will migrate to Skills beginning November 17, with existing Gems converting automatically. AI experiences are becoming more modular, persistent, personalized, and agentic, which makes single-prompt monitoring less representative. 📊 Ipsos enters AI visibility Ipsos introduced Ipsos Synthesio AI Visibility, built with Mention Lab, combining consumer questions across the purchase journey with visibility monitoring across ChatGPT, Gemini, Claude, and other models. GEO is now reaching into market research and consumer insight budgets. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://www.youtube.com/watch?v=txnL3Yuqowo 💬 Question: How often do you refresh the pages you want AI to cite?
S1 · E49
September 28 · 16 min
Funding Won't Buy You AI Citations
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers nine stories from the week in AI search, led by a Machine Relations analysis showing that funding won't buy you AI citations. In this episode: 💸 Funding won't buy you AI citations Machine Relations checked 24 AI companies that announced funding between September 21 and September 26 against nearly 17,000 eligible answer runs and 132,514 citation events. 17 of the 24 had no cited answer run at all, and those 17 had announced $1.25 billion in funding. The analysis measured source citations only, not whether AI systems know or mention these companies. 🎯 Win the citation, win the mention AISO analyzed almost 35,000 GPT and Gemini observations across 75 anonymized projects. On unbranded prompts, GPT mentioned the target brand in 49% of answers that cited its own site versus 2.8% when the site was not cited. Gemini showed 58% versus 3.8%. Crawl, citation, and mention form one funnel. 📰 PR Newswire brings GEO into PR distribution PR Newswire launched a GEO brand report in Asia Pacific, powered by Cision-owned Trajan and embedded in PR Newswire Amplify, so customers can move from a visibility gap straight into amplification. Off-site citation building is one of the biggest levers for AI visibility, which puts PR agencies in a strong position. 🔎 Perplexity retires Sonar for the Agent API Perplexity retired its Sonar API tiers on September 27 and made the Agent API its primary surface. The agent now decides which tools to invoke, from web search to MCP connections, making AI answers less reliant on search results. 🤖 Microsoft turns Copilot into an always-on coworker Microsoft unveiled Copilot Autopilot on September 25, a persistent cloud-hosted agent with its own identity, memory, computer, and permissions. Private agents are becoming a new surface for GEO. 📊 Meta Muse tracking becomes a commodity feature LLMPulse added Meta AI and Muse tracking on September 27, covering 18 AI models, with Meta tracking starting at 12 euros per month. Agents like Meta Muse are now surface areas to measure in their own right. 🔓 Open-source GEO measurement and fan-out searches ELMO is an MIT-licensed, self-hostable AI visibility platform. Self-hosting is free and managed cloud starts at $29 per month. Paris explains a workflow for re-optimizing pages around fan-out search queries, which Bing Webmaster Tools already shows. 📉 86% of AI recommendations went outside Google's top 10 High Salience tested 100 applicant tracking software buyer questions in ChatGPT with web search. Of 388 recommended brand mentions, 333 were brands whose own domain did not rank in Google's top 10. The study used one run per question, so answer variance was not measured. 🛒 SharkNinja's AI agents handle 20,000 chats a week SharkNinja CIO Velia Carboni told Diginomica that Salesforce Agentforce agents handle around 20,000 customer chats per week, including shopping and product selection. Agents everywhere are becoming potential salespeople for brands. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://www.youtube.com/watch?v=INB0-iSYbJY 💬 Question: What has moved your AI visibility more, press coverage or your own content getting cited?
S1 · E48
September 27 · 19 min
Why GEO Will Dwarf SEO
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers ten stories from the week in AI search and closes with his case for why GEO will dwarf SEO. In this episode: 🔄 Google's September 2026 spam update can move AI visibility Google began its September 2026 spam update on September 24. It applies globally and may take up to two weeks to roll out. Because most prompts rely on real-time search retrieval, a shift in rankings changes which sites get cited, so we recommend annotating core updates in AI visibility tracking. ⚡ Perplexity rebuilds retrieval with Photon Perplexity says Photon now serves all production traffic, with P99 retrieval ranking latency down from roughly 800 milliseconds to 65 milliseconds and 68% lower estimated model plus search cost across six agentic benchmarks. These are Perplexity's own benchmarks, but retrieval infrastructure is now a variable in GEO measurement. 🤖 "AI blocked" is too coarse to diagnose discovery Citation Works classified 302 of 500 S&P 500 robots.txt files and found zero blanket blocks for OpenAI search bot and Claude search bot, two for PerplexityBot, five for GPTBot, and four for ClaudeBot. Robots directives do not prove crawler behavior, so track how each AI bot actually crawls your site. 📋 Getting cited is not the same as getting named In category roundups cited by AI answers, established vendors corroborated by other sources were named in 64 of 78 citing answers. Newer vendors that ranked themselves first in their own roundups were named in only 8 of 85. A listicle alone is not enough: outside category recognition turns citations into brand mentions. 🔌 First-party knowledge becomes agent callable Stravito launched an MCP server on September 24 for permission-scoped, source-cited company research, and Eventia followed on September 25 with a native MCP server for its event data. Proprietary brand knowledge is moving from crawlable pages to resources agents can query directly. 🚗 Automotive GEO verticalizes around shopper intent CarLocal expanded its automotive AI answer engine offering, citing Cox Automotive's Q2 study: 63% of in-market shoppers plan to use AI during their next purchase, while only 29% of dealers say they are adjusting for AI-powered search. 💸 $14 per month now buys a GEO plus SEO stack Easy Fetcher's starter plan bundles AI visibility, citation tracking, SEO analytics, audits, and MCP access for $14 per month billed annually. The low end is commoditizing fast, but AI visibility tracking is sampling: we run 30 to 40 runs per prompt to get the margin of error below plus or minus two points. 📈 GEO case studies shift the sales battle to outcomes Growthner reports a cloud GPU client grew from 30 to 120 AI brand mentions and 200 to 500 cited pages, and a design SaaS client reached roughly 1,000 monthly ChatGPT referrals. No control groups are disclosed, but publishing volume looks like the driver. ⚠️ Profound discloses another data incident Profound's status history records a September 24 incident affecting Perplexity and Google AI Overviews data collection, with six hours and thirty-seven minutes of degraded service. Collector health is now part of measuring AI visibility. 🧭 Why GEO will dwarf SEO Agencies are rebundling AI search into SEO service tiers. Paris argues that is the wrong mental structure: SEO is performance marketing, GEO is brand marketing, and over time GEO will dwarf SEO. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/TM2WJfs_ZOU 💬 Question: Is GEO a layer on top of SEO, or a bigger discipline that will outgrow it?
S1 · E47
September 26 · 13 min
Google Just Made YouTube Ads Conversational
Welcome to The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, leads with Google's new Business Agent for YouTube ads, then covers seven more stories: Criteo's ChatGPT Ads data, ZenMedia, a machine relations citation index, Google's developer knowledge agent skill, Athena HQ, Ahrefs, and free GEO audit tools. In this episode: 📢 ChatGPT Ads crosses 2,000 brands through Criteo Criteo says more than 2,000 brands now advertise on ChatGPT through its integration, which has expanded to 61 markets. It reports click-through rates two to three times higher than comparable formats, roughly four times higher spend after activating prompt smart ads, and more than 80% of ad-driven traffic from new customers. These are Criteo-reported figures, not an independent benchmark, but they are the first sizable ChatGPT Ads data set. 📉 One blended visibility score hides a 44-point engine gap ZenMedia tracked 900 buyer intent prompts across ChatGPT, Claude, Gemini, Perplexity, and Grok. In one campaign, the same brand appeared in 15.5% of prompts on its weakest engine and 59.5% on its strongest, while the five-engine average was 45.6. Paris argues a single blended share of voice number is basically meaningless: optimize engine by engine, or at least split ChatGPT from Google. 🎬 Google makes YouTube ads conversational Google introduced Business Agent for YouTube ads, so viewers can ask a conversational AI questions about products or brands without leaving the video. Paris calls it the most important story of the day and predicts YouTube ads will start appearing in Google AI Mode and possibly AI Overviews, blurring the line between organic and paid GEO. 🏢 Vendor-owned sites lead the top 100 cited domains A machine relations index found 29 of its 100 most cited domains are vendor-owned, versus 22 editorial publications and 16 market and company databases. It shows composition, not causation, but it cuts against the earned-media-only narrative and argues owned content still deserves real investment. 🤖 Google turns its documentation into an agent tool Google released a retrieving developer knowledge agent skill that teaches AI coding assistants to pick the right developer knowledge MCP tool, handle retrieval errors, and fall back to its REST API. Canonical knowledge is moving from web pages to resources agents can call directly, like MCP endpoints, APIs, and retrieval-ready product data. 📈 Athena HQ's Rootly case study raises the proof bar Athena HQ reports Rootly's citation rate rose from 3% to 30% across tracked prompts and its mention rate from 7.5% to 18% within months. There is no published control group, fixed prompt list, or attribution, but the category is still short on case studies. ▶️ YouTube appears in 22.5% of Google AI Overviews Ahrefs tracked 4.2 million Google AI Overview responses: YouTube appeared in 22.5%, Reddit 10%, Wikipedia 7%, Facebook 6%, and LinkedIn just 0.6%. Paris says video is the number one strategy for winning visibility in AI Overviews, and a brand-new video that nails the prompt can still win the citation. 🆓 Free GEO tooling compresses the audit layer to zero Optimize.ai is promoting a free GEO platform that checks 50-plus AI search signals, audits up to 15 pages, and generates files like llms.txt, robots.txt, and FAQ schema. Measuring AI visibility is becoming commodity infrastructure, so the value moves to execution and strategy. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/fDy-3OLlxYw 💬 Question: Would you talk to a YouTube ad if it could actually answer your questions?
S1 · E46
September 25 · 44 min
One Blog Post, 10 Social Assets, Zero AI Fingerprints
Welcome to 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, welcomes his longtime LinkedIn Live partner Simon Young of Question Marketing for his first formal guest appearance. Simon demos the vector creative studio he built for GEOforge, and the two cover six big ideas about scaling on-brand content without the AI fingerprint. In this episode: 🎨 A creative studio that avoids the AI fingerprint Simon built a studio on Lovable, with Claude doing the build, that makes social imagery from vectors instead of AI image generators. Images from the major AI models carry a fingerprint, and Simon wanted on-brand, consistent visuals that don't read as AI slop. 🧩 Trained on the brand, not a prompt The GEOforge studio was built from Paris's brand kit, brand voice skill, podcast repurpose workflow, logos, and brand guidelines. It turns a YouTube link or blog post into social copy in straight and edgier takes, then into branded carousels, quote cards, and graphics. 📅 One blog post, 10 assets, a month of content In Simon's live client demo, one blog post became 10 unique assets, with no two images or posts identical. He says he can produce a month of social content for a brand in a couple of hours, and that five to 10 blogs can fill a calendar. 📈 How much should B2B brands post? Simon gets 200 to 400 initial impressions per LinkedIn post across 29,700 connections and asks whether 10 posts a day would drive people away. Paris argues LinkedIn's algorithm shows less to people who stop engaging, so the smart move is to ramp up steadily and find the plateau. 🎬 Why Shorts are harder than they look Recording in 16:9 makes vertical Shorts difficult. Paris walks through how Descript now handles Studio Sound, filler removal, gap trimming, recaps, and clips for the show, and why AI credit costs push workflows toward cheaper tokens. 👀 Are Shorts views worth it? Nearly all of Paris's recent views come from Shorts, not long form. He asks who those viewers really are, and says he would take one full view of a 40-minute episode over 100 five-second doomscroll views. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: 💬 Question: How many posts a day could your brand publish before the algorithm stopped rewarding it?
S1 · E45
September 25 · 24 min
Enterprise SEO Is Becoming GEO. Conductor Just Proved It.
Welcome to episode 45 of The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, leads with Conductor's pivot from enterprise SEO into AI search, then covers nine more stories: AirOps, Profound, Writesonic, Google Search Console, BrightEdge, Meta Muse, Spangle, GrowByData, and Searchable. In this episode: 🎼 Conductor goes all in on AI search Conductor made AI search the focus of its next phase, promoted CPO Wei Zheng to CEO, and reports 12X year-over-year customer growth for its AI product, with new logo growth tripling quarter over quarter. Paris calls it a major signal that established enterprise SEO is now becoming GEO, and it puts Conductor head-to-head with GEO platform startups. 📢 AirOps launches an AI ads operating layer AirOps now monitors live ChatGPT ads, measures ad load and paid share of voice, and ties spend, clicks, CTR, CPC, and CPM back to market activity. Its own research says ads went from 0% to more than 50% of answers in monitored industries within three months. 🎨 Profound adds image generation Profound's AI marketer can now generate campaign visuals, alongside dynamic bot rendering, Search Console context, and Microsoft 365 grounding. The GEO platform category is growing into a full AI marketing workspace. ⏳ Writesonic launches Citation Decay Cited pages are classified as rising, holding, declining, or recovering. Citations have a short shelf life, so this helps teams decide what to protect, refresh, or replace. 📷 Google Search Console adds multimodal reporting New reporting covers Google Lens, Circle to Search, uploaded images, and Chrome's Search This Image, including generative AI performance. AI visibility is no longer a text-only measurement problem. 📊 ChatGPT drives 95.1% of AI referrals BrightEdge says ChatGPT referral traffic rose 101% from January to August, roughly 22 times Gemini, Claude, and Perplexity combined, even as Comscore shows ChatGPT's share of prompt volume falling from 70% to 50%. 🕶️ Meta turns Muse into a visual shopping agent Muse is coming to Meta's AI glasses with commerce connectors spanning Walmart, Best Buy, Sephora, Wayfair, Instacart, PayPal, and more. Visual agents should be measured as their own discovery surface. 🛒 Spangle launches retail AI discovery Spangle connects AI visibility across ChatGPT, Perplexity, Google, Alexa for Shopping, and Walmart Sparky to traffic, conversion, and revenue for enterprise retailers. 🔍 8 of 12 top AI sources aren't your competitors GrowByData tracked 44 prompts and 4,011 answer observations: 8 of the 12 most-present domains were outside the tracked competitor set. Know the difference between share of voice against competitors and share of voice overall. 🌌 Searchable's Prompt Universe Searchable generates the full question space for a brand (22,442 prompts in its Uber example) and narrows it to a monitoring set. Paris argues the prompt universe is infinite, and that real GEO ROI comes from asking "How did you hear about us?" Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: https://youtu.be/D_oI51b-HWM 💬 Question: Can an enterprise SEO incumbent win in GEO, or do the GEO-native platforms have the edge?
S1 · E43
September 24 · 18 min
86% of AI-Cited YouTube Videos Aren't in YouTube's Top 10
Welcome to episode 43 of The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this solo roundup, Paris Childress, founder of Hop AI and co-founder of GEOforge, leads with Rank Prompt's finding that 86% of AI-cited YouTube videos sit outside YouTube's own top 10, then covers Peec on Meta Muse Spark, ChatGPT Ads in Asia, TechMagnate citation stability, an AI Mode CTR experiment, BrandGhost overlap, Fullspan Health AIQ, RevEO, Trebelino Visibility One, and Ulerity's local OS. In this episode: 🎬 Rank Prompt: 86% outside YouTube's top 10 Almost 30,000 YouTube citations across 13,788 prompts and nearly 1,600 brands. Only 14% of cited videos also ranked in YouTube's top 10 for the equivalent query. Paris calls this the top story and argues YouTube is the strongest GEO play right now because freshness and topic fit beat legacy YouTube rank and view counts inside AI Overviews and AI Mode. 📊 Citation stability beats presence TechMagnate tracked 83,633 citations across 2,191 domains over eight weeks in India's personal loan category. Average weekly domain churn hit 39%. Only 15% of domains appeared every week, yet those domains captured 93.4% of citations. Track weekly trend lines, not one-day "wins." 🤖 Peec measures Meta Muse Spark Peec adds Muse Spark coverage so teams can track visibility, sentiment, and cited sources as GEO measurement moves from chat UIs into agents that book, negotiate, and purchase. 📢 ChatGPT Ads across Asia OpenAI expands ChatGPT Ads to Indonesia, Malaysia, the Philippines, Singapore, Thailand, Vietnam, and Taiwan, taking the product past 60 countries. Paid and organic AI discovery now need joint reporting. 📉 AI Mode CTR experiment A pre-registered field experiment with 1,100 US Google users found an AI Mode-only experience cut external publisher click-throughs by almost 19 percentage points and reduced Search frequency by about 0.92 sessions per day. 🔀 BrandGhost overlap ~10.6% Cross-engine source overlap across ChatGPT, Claude, Gemini, and Perplexity sits near 10.6%, with nearly half of comparable recommendation sets showing zero brand overlap. Measure platform by platform. 🏥 Fullspan, RevEO, Trebelino, Ulerity Vertical proprietary stacks (Fullspan Health AIQ), closed-loop SEO plus AI search OS tools (RevEO), PR practice launches (Visibility One), and local marketing agent OS plays (Ulerity) all show GEO blending into broader workflows. Subscribe to The GEO Show wherever you get your podcasts. Full episode on YouTube: 💬 Question: Are you still optimizing YouTube for YouTube rank, or for AI Overview citations?
S1 · E44
September 24 · 43 min
African Talent Meets Open Source AI
Welcome to episode 44 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, sits with Gerard Holland, founder of TalentMatch Africa, to talk African talent as a global secret, AI as a compulsory add-on on every placed role, open-source model leapfrogs, Starlink connectivity, building a company knowledge base where everything gets recorded, and why an LLM recommendation can out-trust a Google ranking for B2B conversion. In this episode: 🌍 Africa's talent secret and the Mandela spark In January 2020 Gerard meets Zondwa Mandela, who asks why he is helping "privileged" people and pushes for an Africa model. A trip through Ethiopia, Rwanda, Kenya, and South Africa convinces him the continent's educated, English-speaking, tech-savvy talent is the world's best-kept secret. TalentMatch Africa now staffs from Addis, Nairobi, Johannesburg, Durban, and Cape Town into the USA, Australia, UK, Canada, Dubai, France, and China. 🚀 Looking forwards vs looking backwards Gerard frames Africa as looking forwards (prosperity, opportunity, development) while America often looks backwards. If he had to pick a journey right now, he would rather be on the African one. Paris maps a parallel from landing in Bulgaria two decades ago. 📱 Leapfrog: M-PESA to open-source AI M-PESA showed mobile leapfrogging before WeChat-style ubiquity. Gerard argues open and weight-source models (citing Kimi 3 as dramatically cheaper per million tokens than Anthropic) let African talent accelerate into the global workforce. His team rule: spend an hour a day sharpening the ax with AI. ⭐ Starlink and rural access Fiber covers TMA's cities. Gerard's NZ boat Starlink moment ("game changing for the world") opens a vision for rural schools and AI on top of connectivity, even while some Western districts ban classroom AI. 🤖 AI compulsory on every role TMA places marketing (including SEO/GEO), finance, CRM, Salesforce/Dynamics, developers, designers, and more. Clients increasingly want AI-fluent people in every seat, including accounts payable. One aviation CEO is getting a dedicated Claude expert to chase 2–3% process wins across divisions: a role that barely existed a year ago. Knowledge base before content flood Paris ties GEOforge's thesis to Jack Dorsey's Block-style vision: record meetings, email, Slack, and docs so AI holds full context. Frontier models stay for hard work; cheaper open models become the everyday heartbeat. 🔎 SEO plus GEO, not SEO vs GEO Gerard's team asked how to get mentioned in ChatGPT. His stance: do the SEO basics, then tinker for GEO. LLM recommendations carry a trust factor Google struggle to match. Paris pushes demo-form attribution ("How did you hear about us?" with an AI chatbot option), proprietary knowledge / information gain, and human-edited AI content over pure slop (Gerard cites ~3:1 human-edited outperformance in a recent test). 🎙️ Founder podcasting and agent workflows Long-form conversation as information gain, then repurpose. Paris walks Descript → GrokBot 12-step lunch-to-live publishing, chief-of-staff agent routing, and the coming battle for your personal agent (while platforms like Amazon try to block agent buyers). Guest: Gerard Holland, TalentMatch Africa — https://www.linkedin.com/in/gerardholland/ Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube: https://youtu.be/IGPlP37LO70 💬 Question: If Claude or ChatGPT recommended your brand tomorrow, would your demo form even ask how the lead found you?
S1 · E42
September 23 · 48 min
Do We Need the Internet Anymore?
Welcome to episode 42 of The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this episode (GEO Day 12 LinkedIn Live), Paris Childress, founder of Hop AI and co-founder of GEOforge, sits with Simon Young of Stitch to ask: do we need the internet anymore? They cover personal AI harnesses, LinkedIn agent lockouts, Meta Muse's free-token push, Amazon blocking Muse, walled gardens versus a single chief-of-staff agent, Simon's Stitch WhatsApp compliance video hitting Google #1, and whether the open web is becoming a machine-readable library. In this episode: 🤖 Grok 4.7 and agent-idle anxiety Grok 4.7 drops at the same price. Paris and Simon talk Cursor model upgrades, ambitious AI targets, and the new feeling that idle agents are hired staff waiting for work (including overnight second shifts). 🔗 LinkedIn lockout from agent scraping Paris is locked out of LinkedIn after ChatGPT Astra scraped ~128 Brighton SEO speaker profiles at high speed. They debate Sales Nav / Premium value, connection-request limits, and LinkedIn voice notes as an authenticity signal against bot outreach. 🌐 TOP: Do we need websites anymore? If agents research, book, buy, and act as EA for work and life, humans may stop doomscrolling feeds and scraping 20 sites. The open web starts to look like a library agents query, not a place people browse. 🚀 Meta Muse and the harness wave Meta Muse rides a stock jump (~17% overnight on tape) with free, generous tokens subsidized by ads. Grok Bot stays hot. OpenAI, Claude, and Google are expected to ship competing personal assistants. Harnesses beat chat-only UX for offloading real work. 🛒 Amazon blocks Muse; Alexa / Siri missed bets Amazon blocks Muse for rules-of-engagement / identity issues. Paris argues that may kill incremental agent-driven purchases; Simon notes Amazon would rather push Rufus. Alexa and Apple Siri are framed as historic missed voice-assistant opportunities. 🧱 Walled gardens vs one chief of staff Amazon, LinkedIn, Google, and YouTube each try to ring-fence knowledge. Multiple platform-specific assistants get unusable fast; an unaffiliated aggregator / chief-of-staff layer may sit on top. Token cost democratization still decides who gets mass access. 📺 Stitch video #1 and relevance over reach Simon's Stitch WhatsApp bulk-messaging / PECR compliance video ranks #1 on Google (US confirm), with semantic expansion beyond the titled keyword. High-relevance, high-engagement signals beat broad low-quality reach for citations and answer-engine learning (including next-prompt intent and YouTube in AI Overviews). 📚 Close: open web as repository Under-20s barely use websites or Chrome. The optimistic frame: the internet becomes a distributed library / museum. The leverage frame: AWS hosts a large chunk, so Amazon still has a play even after fumbling Alexa. Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube: https://www.youtube.com/watch?v=SQUQ-9h5W_A 💬 Question: If your agent can shop and network for you, when was the last time you truly needed a website?
S1 · E41
September 22 · 18 min
50% of web traffic now comes from machines
Welcome to episode 41 of The GEO Show, the briefing on Generative Engine Optimization and AI visibility. Brought to you by GEOforge. In this episode: Searchable acquires Meridian Tech (seven-figure) Searchable bought New York-based Meridian Tech in a seven-figure deal and will migrate customers and product into Searchable. Paris frames it as an early GEO-to-GEO M&A signal: well-capitalized players can buy customer bases, data, and niche capabilities instead of building everything organically in a fragmented category. Fiverr: GEO demand now outpaces Google ranking demand Among hundreds of top-rated freelancers, 67% reported rising client demand for GEO versus 56% for Google ranking optimization, while 61% still said traditional SEO is the strongest long-term investment. GEO is becoming a real budget line as a complement to SEO, not a replacement. Semrush + Claude Code for AI citation outreach Semrush published a workflow that exports prompt-tracking citations to Claude Code for analysis, prioritization, and outreach strategy (still manual send). We distinguish that CSV-to-Claude path from GEOforge CiteForge, which scores opportunities and runs personalized email outreach inside the platform. ChatGPT 97% retrieve-to-cite vs Google AI Mode 16% Nicholas Sitter's hotel dataset (616 prompts, 56 destinations, week of Sep 21): ChatGPT retrieved 2,679 sources and cited 2,599 (97% throughput). Google AI Mode retrieved 12,930 (~6X) but cited only 2,103 (16%). Similar cite volume, radically different retrieval architectures. Reddit #1 overall; ChatGPT and Claude cite zero Reddit ranks #1 of 22,320 domains in the Machine Relations Index (12.57% of answer runs) across Gemini, Google AI Mode, Google AI Overviews, and Perplexity. ChatGPT and Claude showed zero Reddit citations in the measured window. Head domains matter less than scalable long-tail citation building. Deca GEO: recommendation rates vs commercial scale Sep 20 weekly benchmark: Semrush 65.1%, Profound 50.8%, Otterly 39.7%, AirOps 4.8% (10th). Recommendation visibility and vendor revenue still diverge, echoing yesterday's Peak vs Profound pattern. TOP: Fastly machine traffic crosses 50% Fastly reports machine-generated traffic over 50% of network traffic in July and August, with AI traffic growing 6.5X faster than human traffic from January through May. Content should be designed for how AI crawlers and agents understand the page, not only for human visitors. Gmail Search AI Overviews for Workspace Gmail Search AI Overviews enters full scheduled-release rollout for Workspace domains. Paid English-language users can ask natural-language questions over email and get synthesized answers instead of hunting messages with operators. Pronas quantifies the AI visibility gap Pronas analyzed 20,839 unique August prompts producing Google AI Overviews, recording 225,000 citations across nearly 14,000 root domains. Strong conventional search presence does not automatically produce owned-domain attribution in AI answers. Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube: https://youtu.be/HHOGLoZ5KEE 💬 Question: Are you still writing primarily for human visitors when machines already drive half of web traffic?
S1 · E40
September 22 · 14 min
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?
S1 · E39
September 21 · 20 min
Google Just Made Agent Discovery a Web Audit Standard
Welcome to episode 39 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 ten stories: Profound's Dynamic Bot Rendering, Google Lighthouse Agent Resource Discovery, citation fidelity near 50%, crawler spoofing, YouTube's 25.66% share of GEO citations, weak country-code domains, llms.txt placeholders, the AI Recommendation Gap, Swap Discovery inside Shopify, and Thailand's Recharge Land tracker. In this episode: 🔦 Google Lighthouse makes agent discovery a web audit Lighthouse 13.5.0 (September 18) adds Agent Resource Discovery (ARD) and groups ARD with llms.txt under a new agent discovery category. Google expected Chrome 156 DevTools and PageSpeed Insights within roughly two weeks. Paris tested getgeoforge.com live: this is Google treating agent crawl readiness like a first-class web quality signal. 🤖 Profound moves from observing agents to serving them Profound's September 18 Dynamic Bot Rendering detects answer-engine agents and can serve a fully rendered page without CMS changes. Policies vary by bot, page, pattern, or domain, with CloudFront, Cloudflare, and Vercel support. Delivery is becoming part of GEO, not just dashboards. 📊 Only about half of resolvable citations support the claim Across 15,525 citation events, 54.8% of resolvable ChatGPT citations and 50.1% of resolvable Perplexity citations actually supported the anchored claim. Citation presence is not evidence quality. 🕵️ 73% verified, 27% fake: crawler dashboards without IP checks Machine Relations audited spoof-prone AI crawler traffic. On a corrected one-day run with IPs retained, 73% matched vendor ranges and about 27% did not. User-agent matching alone contaminates AI bot analytics. ▶️ YouTube is 25.66% of GEO category citations In the AI visibility / GEO buying category, editorial publications were only 5.9% of citation weight versus 11.3% across 16 categories. YouTube led the source set at 25.66%. For this category, YouTube is the highest-leverage citation tactic Paris sees. 🌐 Country-code domains barely register Across 15,883 answer runs, national ccTLDs were 6.58% of cited domains but only 2.73% of citation volume. .ai and .io together captured 8.6%, about 3× all national ccTLD volume. A local suffix is not proof of local retrieval. 📄 More than half of llms.txt adopters ship placeholders GeoReady audited 282 domains: 62.8% had llms.txt, but 52% of adopters were placeholders. There is still no confirmed causal link to citation wins. Existence is not quality. 🎯 The AI Recommendation Gap Polish agency Funky Media frames Known → Mentioned → Cited → Considered → Recommended. A brand can be cited and still disappear when the user asks which provider to choose. Visibility is an intermediate metric. 🛒 Swap Discovery writes GEO fixes into Shopify Swap measures e-commerce visibility by assistant and country, then writes product, collection, FAQ, and structured-data improvements into Shopify. Vertical CMSs are absorbing measurement plus execution. 🇹🇭 Thailand gets a multi-run GEO tracker Recharge Land launched a locally built tracker covering Google AI Overviews, ChatGPT, Gemini, and Copilot with multi-run and competitor analysis. GEO is going regional. Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube: https://youtu.be/nKsrvaP4oJk 💬 Question: If Google is auditing agent discovery in Lighthouse, did you run PageSpeed Insights on your site this week, or are you still guessing whether agents can read you?
S1 · E38
September 19 · 21 min
Stop Blocking Bots. Start Getting Paid.
Welcome to episode 38 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 ten stories: Profound's Google AI mode citation instability, Azoma's agentic commerce citations, Nexi's merchant catalog push in Europe, Mastercard Agent Pay credentials, BrandGhost's 11.8% cross-engine overlap, Machine Relations' long-tail citation map, AppScribed's live-vs-API tracking gap, Cloudflare's Disallow AI Training setting, the NYT "doom loop" filings, and Pyra's Primey race engineer. In this episode: 🤖 Profound flags Google AI mode citation variability Profound's status page says Google AI mode citation data remains affected by variability. One of the category's largest vendors is publicly acknowledging that AI search measurement can go unstable when the model layer moves. Treat those numbers with a grain of salt. 🛒 Azoma: 86.5% of Alexa shopping citations are earned or social Dunnhumby Ventures invested in Azoma. Q2 analysis: 86.5% of citations behind Alexa shopping recommendations came from earned or social media (76% for Walmart Sparky), not brand.com. Off-site citation work is not optional in commerce GEO. 🇪🇺 Nexi × Refi Buy: catalogs as AI infrastructure European payments giant Nexi is helping merchants structure product catalogs for AI agents. A forthcoming survey of ~28,000 consumers across 11 countries found more than half used AI in the prior month to search, find, or buy. Machine-readable catalogs are becoming table stakes. 💳 Mastercard gives agents one-time payment credentials Mastercard Agent Pay into Alchemy's Agent Card means approved AI agents can use one-time tokenized credentials inside user-set constraints. Agentic commerce is moving from recommending to buying. Trust will follow the same path early online shopping did. 📊 BrandGhost: only ~11.8% cross-engine source overlap Across 7,902 citations on ChatGPT, Claude, Gemini, and Perplexity, source overlap is about 11.8%. In 41.8% of comparable recommendation sets, brand overlap was zero. Winning one engine does not win another. GEO is at least a two-platform game. 📈 Half of AI citations need 1,357 domains Machine Relations' index: top 10 domains are only ~7% of citations. Reaching 50% of citation share takes 1,357 domains; 80% takes 6,643. Reddit leads at 1.81%. Paris's read: this is a volume and long-tail game, not a single New York Times link. 🔬 Live ChatGPT vs API tracking can disagree completely AppScribed: one buyer query hit 5/10 live logged-out ChatGPT runs and 0/30 API runs. Broader set: 196,554 citations over 91 days, including pages ranked #80 or outside Google's top 100. Prompt tracking is probabilistic. You still need to be indexed. You do not need top 10. 🛡️ Cloudflare: reject training without killing search The Disallow AI Training setting publishes a no-training preference while qualified mixed-use crawlers keep indexing. Defaults often block training bots. For most brands maximizing AI visibility, Paris's call is clear: let the training bots in so models learn accurate brand facts. 📰 NYT filings and the "doom loop" Unsealed filings warn that AI products can weaken publisher economics and eventually degrade the content models depend on. For B2B brands the practical move is sharing proprietary knowledge without giving away the secret sauce. 🏁 Pyra Primey: race-engineer diagnosis from $69/mo Pyra's Primey layer explains competitor citation wins and next actions. Diagnosis and recommendation are moving down market. GEO, like SEO, remains a competitive game. Subscribe to The GEO Show wherever you get your podcasts, and watch the full episode on YouTube. 💬 Question: If Cloudflare defaults to blocking training bots, did you check your settings this week, or are you still flying blind on what the models can learn about your brand?
S1 · E37
September 18 · 1 hr 8 min
Revisiting Content Workflows for GEO
Welcome to episode 37 of The GEO Show, the briefing on generative engine optimization, LLM citations, and AI search visibility. Brought to you by GEOforge. In this episode, Paris Childress, founder of Hop AI and co-founder of GEOforge, sits with Simon for GEO Day 11 LinkedIn Live. They cover Cursor / GrokBot token burn and "generous" as marketing language, agent orgs that invoice via Xero, LinkedIn outreach and podcast-guest booking as citation machines (~5 citations per appearance), Jason Swenk's Smart Agency soft ask, then Simon's Stitch GEO content stack: ContentForge FAQ → Claude-enriched script + ElevenLabs (Paul's voice) → Gemini NotebookLM video → YouTube #1 (~1 hour old, 1 view) plus a LinkedIn newsletter at ~105 subscribers the same hour. Framing on tape: YouTube for Google AI Overviews; LinkedIn Pulse for ChatGPT citations. In this episode: 🔥 Cursor credits and "generous" marketing language Simon hits pay-as-you-go burn (~$25 in ~10 minutes) and gets a support reply that "generous" is descriptive marketing language, not a fixed public unit. Paris is at ~52% of a $200 plan after about seven podcast-repurpose runs in five days. Token demand still looks voracious, not bubbly. 🤖 Agent orgs, Xero invoicing, SaaS under pressure Simon had Claude design an agency org, then a chief-of-staff bot spun up ~20 roles. A bot plugged into Xero sent invoices and caught a spelling error. Call-archive analysis and schema sweeps show computer-use agents eating Gong-class and SEO grunt work. Constraint is tokens. 📣 LinkedIn outreach and podcast guests as citation machines Claude-backed LinkedIn outreach spots converting phrases and drafts next threads. Podcast-guest booking at 5–10 pitches/day compounds. Each appearance can yield ~5 citation surfaces (Apple, Spotify, YouTube, show notes/recap). Jason Swenk's Smart Agency model: soft guest invite, then GEOforge trial. PR shops charging $300–$500 per booking look toast. 🧩 Stitch stack: ContentForge FAQ to YouTube #1 Prompt: bulk WhatsApp marketing compliance under UK data protection / TPS rules. ContentForge FAQ: accuracy 10, information gain 9.5. Published on Stitch blog as FAQ. Claude enriched a ~7-minute script in Paul's voice; Gemini NotebookLM video; ElevenLabs narration. Live search: #1 and top two organic; video ~1 hour old with 1 view. 📰 YouTube for Google AI Overviews; LinkedIn Pulse for ChatGPT Same hour: Paul Gander newsletter ~105 subscribers; first article mirrors the FAQ with Answer-first structure and YouTube embed. ChatGPT favors LinkedIn Pulse/newsletters; Google AI Overviews favor YouTube. Do both. Direct answer belongs in the top of the page. 🛠️ Studio tools, carousels, daily compound surfaces Stitch internal studio for image/social. Next tests: voice interviews into knowledge base, People Also Ask → FAQ → video → Pulse, LinkedIn carousels with a light paid boost, YouTube boosts on breakout clips. Paris demos the GEO Show hub and daily repurpose path (YouTube, Transistor, site transcript page, LinkedIn draft). If this briefing is useful, subscribe to The GEO Show so we can keep walking through the workflows and citation mechanics that actually move AI visibility. 💬 Question: If a one-view YouTube clip can still rank #1 for a compliance prompt, are you optimizing for views or for citations?
S1 · E36
September 18 · 22 min
Profound Owns Half of GEO — Market Still Tiny
Welcome to episode 36 of The GEO Show, the briefing on generative engine optimization, LLM citations, and AI search visibility. Brought to you by GEOforge. In this episode, Paris Childress, founder of Hop AI and co-founder of GEOforge, covers ten GEO stories: RAMP vendor concentration with Profound at 52% of GEO software spend while only 1.2% of SaaS buyers purchased any GEO tool, AppsFlyer click-only AI attribution across eight engines, PeakMetrics reputation GEO for communications teams, Bluefish x Bazaarvoice UGC for e-comm citations, Rankability's cross-engine citation study (24.1% max overlap; 55.2% of top AI citations miss Google's top 10), Stacker low-DR earned media, FogLift tool-recommendation concentration, Ahrefs Brand Radar scaling to 30M prompts, QueryLift's Japan seed, and RadIntel Radar. In this episode: 📊 RAMP: Profound owns half of GEO spend; market still tiny Among RAMP businesses buying GEO software: Profound 52%, Peak 18%, AirOps 17%. Peak is fastest-growing; AirOps has the highest switch rate. Profound surged from near zero toward ~50% share, then recent growth flattened after a $180M raise at a $1.8B valuation. Perspective check: only 1.2% of RAMP SaaS buyers bought any GEO tool in September 2026. Wide-open category. Weak stickiness. 🔗 AppsFlyer: AI attribution that is still click-only Attributes organic discovery across eight AI engines (ChatGPT, Claude, Perplexity, Gemini, Copilot, Groq, Manus, DeepSeek) plus paid ChatGPT ads through app re-engagement, installs, and web/mobile conversions. Still click-based only. Not impression or brand-mention attribution. Positive step, not attribution solved. 👁️ PeakMetrics: reputation GEO for comms teams AI Perceptions (launched Sep 17) tracks how ChatGPT, Gemini, Claude, Groq, and Perplexity characterize brands, then connects those perceptions to news, social, and community narratives. Reputation and narrative intelligence, not pure visibility. GEO diverging into PR/comms. 🛍️ Bluefish x Bazaarvoice: UGC as e-comm citation fuel Bluefish spots AI visibility gaps and routes into Bazaarvoice review, sampling, and structured content workflows. Vendor-sponsored research: 90% of surveyed consumers want AI recs sourced from real reviews/photos; 59% of AI-cited product pages had 100+ reviews; 92% rated 4 stars or higher; 65% showed a review summary near the top (1,700+ survey + 237,804 citation instances). Structured UGC is a top e-comm GEO lever. 📐 Rankability: 24% overlap, 55% miss Google top 10 1,645 AI query-page observations across 10 platforms. No platform pair shared more than 24.1% of cited pages. 55.2% of top-10 AI citations did not rank in Google's traditional top 10. Observed relationships, not causal factors. No single AI ranking. SEO is not GEO. Index matters; page-one ranking does not. 📰 Stacker: low-DR earned media still wins citations 895 distributed stories / ~212k pickups across six AI services. Sites with DR under 40 generated one-fifth of Stacker network citations. Claude and Google AI Overviews cited sub-DR40 domains in 1.8% of responses vs ChatGPT at 0.05%. Citation gains plateau around ~90 pickups for lower-authority domains. DR is a weak predictor. Another SEO/GEO divergence signal. 🛠️ FogLift: tool recs concentrate; sources stay off-vendor Unbranded buyer-intent: Otterly 58%, Profound 54%, Semrush 49%, Peak and Ahrefs 36% each. 33.3% of the leading citation layer came from off-vendor sources (YouTube, Reddit, SitePoint, G2). B2B SaaS playbook on tape: YouTube + Reddit + G2 (+ listicles). 📡 Ahrefs Brand Radar: 14M to 30M prompts Sep 17: People Also Ask prompt set expanded from ~14M to 30M; entity extraction + top-entities widget; optional traffic model including AI Overviews. SEO giant flexing data scale. Brand Radar still not prompt-selectable. Skeptical Ahrefs wins GEO vs Profound on current product shape. 🇯🇵 QueryLift: Japan-focused GEO seed Tokyo QueryLift raises 100M yen seed (JAFCO + Z Venture Capital). Monitors ChatGPT, Gemini, Claude, and Google AI Overviews, then feeds observations into content workflows. First major Japan-focused GEO platform covered on the show. 🧠 RadIntel Radar: predictive audience intelligence into authority content Launched Sep 17: predictive audience intelligence into original reporting, executive perspectives, research, and multimedia. Framed across GEO and owned channels; may open to select brands/agencies. Content strategy from audience intelligence, not prompt-gap tracking. If this briefing is useful, subscribe to The GEO Show so we can keep walking through the platform changes and citation mechanics that actually move AI visibility. 💬 Question: If Profound owns half of GEO spend and only 1.2% of SaaS buyers are in the category, are you measuring concentration or measuring opportunity?

Showing 1–20 of 59 episodes