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What Is GEO: Getting Cited by ChatGPT, Claude, and Perplexity

Generative Engine Optimization is not about ranking. It is about entering the small pool of sources AI answers are built from.

February 5, 2026 · 6 min read · AEO GEO Hourly Editorial

When a buyer asks an AI assistant for the best option in your category, the model composes its answer from a shortlist of retrieved sources. Generative Engine Optimization is the work of getting into that shortlist and staying there, and it is fully measurable: fix a query set, scan the platforms monthly, and count exactly where you appear against named competitors.

Get into the retrieval pool

Generative engines compose answers from a small pool of retrieved sources per topic. Run your real buyer prompts monthly, log every cited domain, and treat that list as your outreach plan. A placement inside the pool outperforms dozens of generic links.

Publish quotable claims

Models quote specifics: numbers, definitions, named comparisons. Vague service pages never get cited; pages with a defensible statistic get lifted repeatedly. Give every money page at least one claim worth quoting verbatim.

Key takeaways

Fix a buyer-prompt query set and scan it monthly
Log every domain each platform cites, then earn presence there
Publish quotable statistics models can lift verbatim
Keep brand and category descriptions identical everywhere

Keep entity signals identical everywhere

When your site, profiles, and third-party mentions describe the brand differently, models hedge and cite someone else. Lock one canonical description of what you do and for whom, then deploy it everywhere without creative variation.

In practice

In practice, a GEO program lives or dies on the Money Prompt Set, the ten to thirty real buyer prompts you commit to tracking. Get those wrong and you optimize for questions nobody asks; get them right, from five interviews with recent customers, and you have a scoreboard that tells you exactly where you stand against named competitors every month. We run the set across ChatGPT, Claude, Perplexity, and Gemini, log every cited domain, and treat that list as the outreach plan, because a placement inside the retrieval pool outperforms dozens of generic links. The single most common early win is simply fixing crawler access, discovering that GPTBot or ClaudeBot was blocked, because content quality is irrelevant if the engine cannot read the page. GEO is measurable and methodical, which is exactly what separates it from the hand-waving that surrounds it.

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