What This Looks Like in Practice
GEO is the practice of structuring content so AI answer engines and chatbots are more likely to cite or reference it when answering a relevant question, distinct from traditional SEO which targets a ranked list of search results.
How Teams Are Approaching This
Teams practicing GEO focus on direct, extractable answers near the top of content, clear semantic structure, and technical crawlability for AI systems, alongside traditional SEO fundamentals that still carry significant weight.
Considerations
Measurement tooling for GEO is still immature compared to traditional SEO analytics — periodically testing relevant queries yourself remains one of the more practical ways to gauge visibility.
Related Pages
Frequently Asked
Is GEO replacing SEO?
Not entirely — both matter, and the underlying content principles overlap significantly; see our GEO vs SEO page for the distinction.
How do I measure GEO success?
This is harder to measure precisely than traditional SEO; citation frequency and referral traffic from AI platforms are the closest current proxies.
What's llms.txt and how does it relate?
A proposed standard file guiding AI crawlers to a site's key content — see our llms.txt page.
Where can I learn platform-specific GEO techniques?
See our Rank in ChatGPT, Rank in Gemini, and Rank in Perplexity pages.