Generative Engine Optimization (GEO) is the practice of optimizing your content so it gets used and cited inside the answers generative AI engines produce. "Generative engines" are systems like ChatGPT, Perplexity, Gemini, Claude and Google's AI Overviews that generate a written answer and reference sources, rather than returning a list of ten links. GEO and Answer Engine Optimization (AEO) are mostly two names for the same idea: people say GEO to emphasize the generative model, and AEO to emphasize the answer.
Why this matters for AI Overviews
Traditional SEO optimizes for a ranking: position three for a keyword. GEO optimizes for inclusion: being one of the few sources the model pulls from and names when it writes the answer. The difference matters because the visibility is different. A ranking gets you a click. A citation gets you a mention inside the answer the user actually reads, often without a click at all.
It is worth being clear-eyed about Google here. Google has said there are no special requirements or optimizations to appear in its AI Overviews, so "GEO for Google" is really just strong, citable SEO under a newer name. We list the tactics Google has explicitly denied in the AI Overview myths. Where GEO becomes its own discipline is across the non-Google engines, which each crawl, retrieve and cite differently, and where there is no single published rulebook to follow.
How to fix it
GEO is won with the same fundamentals as good SEO, pointed at being quoted rather than ranked:
- Be the clearest source on the question. Generative engines extract; give them a clean, correct, self-contained answer to lift.
- Publish things only you can publish. Original data, real expertise, first-hand experience. Commodity content the model already knows will not be cited because it adds nothing.
- Make the page machine-readable. Logical headings, lists, tables, and structured data for rich-result eligibility. This helps extraction across every engine.
- Build genuine authority. Real links and real reputation, not the "inauthentic mentions" Google warns against.
- Track it per engine. GEO without measurement is guesswork. A tracker like MentionScout shows where you are cited across ChatGPT, Perplexity, Gemini and Google AI, and where competitors are cited instead. For the Google answer specifically, the AI Overview Checker audits eligibility against Google's documented rules.
If a vendor sells you a "GEO checklist" that is really a list of files and schema to add for Google, check it against the myths page first.
Common mistakes when implementing the fix
- Treating GEO as different from quality SEO for Google. It is not; Google says there are no special optimizations.
- Chasing every engine with one tactic. ChatGPT, Perplexity and Google AI retrieve differently. Measure each rather than assuming.
- Skipping measurement. Without per-engine tracking you cannot tell GEO work from noise.
