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GEO — Generative Engine Optimization

What is GEO (Generative Engine Optimization)?

The discipline of getting cited in the answers from ChatGPT, Perplexity & Google AI Overviews.

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GEO (Generative Engine Optimization) is the practice of optimizing content to be cited in AI-generated answers — think ChatGPT, Perplexity, or Google AI Overviews. While classic SEO aims for a ranking spot, GEO aims to show up as a source inside the answer itself. The key levers: clear, evidence-backed statements, clean schema markup, crawler access, and an llms.txt.

GEO — Generative Engine Optimization

GEO vs. classic SEO

SEO

Goal: a good spot in the blue link list. Success = a click to your page.

GEO

Goal: being cited as a source in the AI answer. Success = a mention, often without a click.

GEO — Generative Engine Optimization

The most important GEO levers

Answer first

State the core point up front so it's citable.

Evidence

Data, examples, sources — AI favors what it can back up.

Structure & schema

Headings, FAQs, JSON-LD make content machine-readable.

Access

Allow GPTBot, ClaudeBot, PerplexityBot. An llms.txt does no harm, but Google Search does not use it.

Frequently asked questions

Frequently asked questions

Is GEO the same as SEO?

Not quite. GEO builds on SEO: Google itself says the same fundamentals apply to AI answers as to regular search. GEO focuses on making content quotable as a source.

How do you measure GEO success?

By how often a brand or page gets mentioned/cited in AI answers. Klano assigns a GEO score to every article for this.

Don't just understand GEO — act on it

Klano measures and improves the AI citability of every article. Free for 14 days.

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