ChatGPT Cites Publishers With Deals 48% More 📈 with Thomas Peham

https://page2pod.com - Publishers with OpenAI deals get cited 48% more by ChatGPT. Thomas Peham of Otterly.AI on what AI search citation testing actually shows. Most AI search advice is theory. Thomas Peham, CEO and co-founder of Otterly.AI, runs a team with two full-time GEO researchers whose only job is to test it. Across millions of citations from ChatGPT, Claude, Gemini, and Google AI Overviews, a consistent picture emerges: corporate and brand websites supply roughly 40–60% of all citations, niche and trade media outperformed mainstream publishers in 16 of 17 US industries studied, and publishers holding licensing deals with OpenAI pick up about 48% more ChatGPT citations than those without. The uncomfortable findings are here too. Schema markup lifted Google organic and AI Overviews visibility but did nothing measurable on ChatGPT. Crawl data shows almost no activity on llms.txt files, while sitemaps get hit constantly. A fictional agency with no clients and no history got recommended by ChatGPT purely by earning mentions in the articles ChatGPT was already citing. And 25% of the URLs ChatGPT cites are dead links. Thomas also shares Otterly.AI's own Claude numbers, which should make anyone in B2B re-examine their analytics: Claude accounts for 0.1–0.2% of their website traffic, but 10.6% of net-new leads name it as where they first heard about the company. 🧪 In This Episode Why hiring dedicated GEO researchers became the marketing strategy Does schema markup actually influence ChatGPT citations? The llms.txt crawl data — and why sitemaps deserve the attention instead Where AI citations come from: corporate sites, niche media, and publisher licensing deals The fake London SEO agency experiment and what it exposes about off-page manipulation Building brand sentiment through reviews, product content, and a central brand entity Why YouTube long-form gets cited regardless of view count What Claude's citation data reveals about B2B buying you can't see in analytics A practitioner's look at what's been tested, what held up, and what marketers should stop doing. Subscribe for new episodes with the practitioners actually doing the work →    / @thepage2podcast922   Which finding would change your roadmap first — the schema results, the llms.txt crawl data, or the 48% licensing gap? Tell us in the comments. Thomas Peham → https://thomas-peham.com/ Thomas Peham on LinkedIn →   / thomaspeham   Thomas Peham on Twitter →   / tompeham   Thomas Peham on Instagram →   / tompeham   🛠️ Tools & Resources Mentioned Otterly.AI → https://otterly.ai Otterly.AI's Agent Analytics → https://otterly.ai/blog/agent-analytics/ Otterly.AI's Claude Citation Study:   / thomaspeham_our-claude-citation-study-show...   ⏱️ Chapters 0:00 The 48% Licensing Advantage 1:47 Meet Thomas Peham of Otterly.AI 4:10 From Marketing Lead to Startup CEO 6:06 Why Hire Full-Time GEO Researchers 11:00 Does Schema Markup Move ChatGPT? 13:16 Is llms.txt Actually Worth It? 16:35 Where AI Citations Really Come From 21:18 The Fake Agency ChatGPT Recommended 24:58 Brand Sentiment as a Core KPI 28:30 YouTube's Rise in AI Citations 32:32 Reviews, Product Content, Positioning 36:29 Wikipedia and Dead Citations 41:24 What Claude Data Says About B2B 46:51 Rapid Fire: Hires, Advice, Otters #### Sponsored by Moving Traffic Media → https://www.movingtrafficmedia.com Follow the Page 2 Podcast ✅ Page 2 Podcast on Youtube →    / @thepage2podcast922   ✅ Page 2 Podcast on Linkedin →   / page2podcast   ✅ Page 2 Podcast on Facebook →   / thepage2podcast   ✅ Page 2 Podcast on Instagram →   / page2pod   ✅ Page 2 Podcast on Tiktok →   / jonleeclark   Follow Jon Clark ✅ Jon Clark on Twitter → https://x.com/jonlclark ✅ Jon Clark on Linkedin →   / jonlclark   #Page2Podcast #AISearch #AEO #GEO #SEO