Blog / GEO Strategy
GEO Strategy
Generative Engine Optimization strategy: earning citations from AI engines deliberately instead of accidentally. These posts cover content structure that survives retrieval, llms.txt and crawler policy, freshness signals, schema that engines actually read, and how to measure whether any of it moved revenue. GEO advice is easy to invent and hard to verify — where a tactic here is speculative, the post says so, and where we have cohort data, the numbers are cited.
ChatGPT Topic Authority: 53.7% of Buyer Categories Have No Winner Yet — What Semrush's 50,000-Brand Study Means for Your RevenueSemrush tracked 50,000+ brands across 1,094 ChatGPT buyer categories for six months. Only 15.2% of categories have a clear owner, SEO metrics predict winners at coin-flip rates, and leads lock in once they pass ~3 points. Here is what the two studies found, what they structurally cannot tell you — the dollar value of a topic — and the 90-day plan to claim an open category before someone else does.ChatGPT Cited My Competitor, Not Me: An Honest DiagnosisA SaaS founder DMs you a screenshot of ChatGPT recommending a competitor for the exact query you used to own on Google. Why it happens, what to do, and how to prove the fix actually moved revenue, not vibes.The Small Business AI Search Survival Guide: How Solo Founders and 2-5 Person Teams Actually Beat Incumbents Inside ChatGPTSmall business AI search survival guide: how solo founders win AI visibility against funded incumbents, when small is an advantage, and a 30-day plan.AI Citations vs Backlinks: What Actually Drives Visibility in 2026AI citations vs backlinks: correlated but not the same currency. How each is earned, measured, and manipulated — and why neither matters until revenue moves.The AI Search Optimization Checklist: 30 Steps for 2026 (Ranked by Impact)AI search optimization checklist: 30 GEO/AEO steps ranked by impact and effort — ship the high-leverage six first, then the measurement step everyone skips.ChatGPT Isn't Recommending Your Product? Here's Why (and the Fix)ChatGPT won't mention your brand? The 8 reasons it ignores you, ranked by likelihood — each with a diagnose/fix/speed table and the revenue proof.GEO Tactics 2026: A Founder's Playbook for Getting Cited by AI12 concrete GEO tactics to get cited by ChatGPT, Perplexity, Claude, and Google AI Overviews in 2026 — plus the revenue-attribution layer most playbooks skip.How to Get Recommended by ChatGPT: A 10-Step Playbook for 2026A 10-step checklist for getting ChatGPT to recommend your product — each step with tools, time investment, expected impact, and the proof it worked.How to Rank in ChatGPT: A 2026 Playbook for Getting Cited and RecommendedHow to rank in ChatGPT: the two ranking mechanics (training corpus vs live retrieval), a 10-step playbook, and how to measure citation revenue.How to Show Up in Perplexity: The 2026 Citation PlaybookHow to show up in Perplexity: why it is citation-first and freshness-weighted, the 8-step citeability checklist, and measuring revenue from citations.llms.txt Explained: Does It Actually Improve AI Visibility and Revenue in 2026?llms.txt promises AI visibility, but does it change citations or revenue? A skeptical 2026 deep-dive: what the spec is, who reads it, how to measure lift.Prompt Tracking vs Keyword Rank Tracking: 5 Differences, 2026Prompt tracking vs keyword rank tracking: five concrete differences, and why rank tracking does not predict AI visibility. Both still matter in 2026.Reddit's AI Citation Effect: How Reddit Mentions Drive ChatGPT, Perplexity, and Google AI Overviews Revenue in 2026Reddit became the #2 AI citation source in 2026. The licensing deals behind it, which subreddits convert, and the revenue traced to Reddit-fed AI answers.Is llms.txt Worth It? A 10-Site, 6-Week Controlled Experiment (2026 Data)Should you publish llms.txt? A matched-pair test: 5 sites shipped it, 5 did not, citations tracked for 6 weeks across 4 AI engines. Here is the actual delta.How to Get Cited by ChatGPT, Perplexity & Claude (2026)The 7-step playbook for getting cited by AI engines: schema, llms.txt, entity disambiguation, FAQ density. Plus the GEO measurement gap nobody talks about.