Resources

Everything you need to get cited by AI

Straight answers about Generative Engine Optimization: how AI answer engines pick sources, and how to become one.

Guides

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of structuring content so AI answer engines like ChatGPT, Perplexity, Gemini and Google AI Overviews understand, trust and cite it.

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GEO vs SEO: What's the difference?

SEO optimizes pages to rank in search results; GEO optimizes content to be quoted inside AI-generated answers. Here's how they differ and how to do both.

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How do I get my brand mentioned and cited by ChatGPT?

To get cited by ChatGPT and other AI engines, publish answer-first pages for the questions buyers ask, use specific facts, name your brand clearly, add schema and llms.txt, allow AI crawlers, and earn mentions on sites AI engines already trust.

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What is llms.txt and how do I create one?

llms.txt is a Markdown file at your site's root that tells large language models what your site is and links to its most useful pages. Here's the format and how to write one.

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How does a GEO score work?

GEO Pilot's GEO score grades content 0–100 on nine signals AI engines use to pick sources, from answer-first structure to citable facts, with specific fixes for each.

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What are the best tools for Generative Engine Optimization in 2026?

An honest look at GEO tools in 2026: AI visibility trackers like Profound, AI content platforms like Writesonic and Jasper, SEO content tools like Surfer, and GEO Pilot for creating and scoring AI-ready content.

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GEO glossary: Key terms in Generative Engine Optimization

Plain-English definitions of the key terms in Generative Engine Optimization and AI search: GEO, AEO, AI visibility, share of voice, llms.txt, schema markup and more.

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Comparisons