GEO (Generative Engine Optimization)
GEO is the practice of getting your content selected, summarized, and cited by AI tools that generate answers from many sources at once.
What it is
GEO — Generative Engine Optimization — is a close sibling of AEO. Both are about being visible inside AI answers. The difference is emphasis: AEO leans toward being the recommendation, GEO leans toward being cited as a source when the AI generates a longer, synthesized answer from multiple pages.
Tools like Perplexity, Google's AI Overviews, and ChatGPT with web search will often pull from three to ten sources, summarize what they say, and link out. GEO is the work that gets you into that source set: reference-style writing (clear claims, dates, numbers), strong entity clarity, and content that's easy for a model to quote without misrepresenting you.
Why it matters for your business
A citation from a generative tool isn't a click — it's a vote of confidence broadcast to every future user asking a similar question. Even if a single citation only sends a trickle of traffic, the cumulative effect is a steady "above the fold" presence inside AI tools that more and more buyers are using before they ever search Google. Skip GEO and you become invisible to that audience.
Example
A handyman company turned its top 5 service pages into reference-quality content: clear definitions, scoped pricing tables, step-by-step process, FAQs, and inline citations to their licenses and certifications. When Perplexity users asked "what should I expect to pay for a handyman in Phoenix," the company's pricing-factors block started showing up in the cited sources block — driving 30 referrer clicks a month from a tool they weren't even targeting six months earlier.
Related
- Guide: Traditional SEO vs AI SEO (AEO/GEO), AI Discovery Surfaces (AEO/GEO playbook)
- Related terms: AEO, Extractability, LLM, Citation vs Recommendation