The GEO Show

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 demandAmong 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 outreachSemrush 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 zeroReddit 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 scaleSep 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 WorkspaceGmail 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 gapPronas 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?

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 modelIn 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 APIUpdated 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 citationsSE 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 discoveryE-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 VoiceMonroyia'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 PythonPyPI 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 boardCatalyst'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?

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 auditLighthouse 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 themProfound'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 claimAcross 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 checksMachine 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 citationsIn 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 registerAcross 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 placeholdersGeoReady 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 GapPolish 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 ShopifySwap 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 trackerRecharge 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?

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?

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 languageSimon 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 pressureSimon 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 machinesClaude-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 #1Prompt: 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 ChatGPTSame 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 surfacesStitch 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?