Get cited in AI search

GEO — generative engine optimization — is the practice of making your content easy for AI answer engines to understand, trust, and cite. Instead of just ranking blue links, you're earning a citation inside the AI's answer across tools like ChatGPT, Claude, Perplexity, Gemini, and Google's AI Overviews.

They share a foundation — crawlable, well-structured, trustworthy content — but AI engines lean harder on clarity, extractable answers, factual density, structured data, and strong E-E-A-T signals. They also read sources classic search ignores, like your llms.txt, when deciding what to cite.

Optimize for the whole family rather than one engine. The same fundamentals — clear answers, schema, authoritative sources, and freshness — lift you across ChatGPT, Google AI Overviews, Perplexity, Gemini, Claude at once, so you rarely need engine-by-engine tactics.

Run the free LLM Optimization audit. It scores answer-readiness, FAQ and structured-data coverage, and E-E-A-T signals, then lists exactly what to fix. The LLMs.txt checker confirms AI agents can find and load your most important pages.

llms.txt is a simple markdown file at your site root that tells AI agents which pages matter most when answering questions about you. It's an emerging standard — adding one is a low-effort signal that can improve how accurately AI engines represent your site.