Generative Engine Optimization (GEO): How to Rank in ChatGPT, Gemini & Perplexity
GEO is the new SEO. Learn what AI search engines actually cite, how to structure content for LLM retrieval, and the E-E-A-T signals that get you quoted.
Why GEO matters now
ChatGPT search, Google AI Overviews, and Perplexity answer questions directly — often without a click. If your brand is not cited in the answer, you are invisible. GEO is the discipline of getting cited.
What LLMs prefer to cite
- Original data, surveys, benchmarks — not opinion.
- Clear, extractable structure: H2 questions, direct-answer first paragraph, tables.
- Named authors with verifiable credentials (E-E-A-T).
- Schema markup: Article, FAQPage, HowTo, Organization.
The GEO content formula
Open every section with a 50–80 word direct answer, then expand with proof (data, examples, sources). LLMs pattern-match to this shape when composing responses.
Technical checklist
- Semantic HTML — real H1/H2/H3, not styled divs.
- JSON-LD schema on every content page.
- Fast crawl (under 200ms TTFB) so LLM bots index fully.
- llms.txt file at root declaring content licensing intent.
Measuring GEO wins
Track brand mentions in ChatGPT, Perplexity, and Gemini weekly. Tools like Profound and Otterly automate this; a manual monthly check works for most SMBs.
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