Overview

GEO - optimizing visibility in AI search.

GEO - category overview

GEO (Generative Engine Optimization) is optimizing a page for AI-generated answers, not just classic results. The goal: when Google AI Overviews, ChatGPT, Perplexity or Gemini answer a question in your field, they cite you.

Diagram: a GEO-optimized page reaches Google AI Overview, ChatGPT, Perplexity and Gemini — One optimized page - four citing platforms

Why a separate category

Classic SEO fights for a position on the list. GEO fights to be the source of the answer. The differences are practical:

	SEO	GEO
Unit of success	position / click	citation / mention
Key format	page optimized for a phrase	fragment that answers a question
Technical signals	crawl, indexing	access for AI crawlers, `llms.txt`
Measurement	GSC, positions	share of voice in AI answers

Running the analysis

/seo geo your-domain.com

The analysis covers:

Access for AI crawlers - whether GPTBot, ClaudeBot, PerplexityBot are allowed in (robots.txt, content signals).
0 - presence and consistency of the content index for models.
Fragment-level citability - whether sections answer questions directly, with data and sources.
Brand signals - consistency of the mentions models use to recognize authority.
Per-platform optimization - AI Overviews, ChatGPT, Perplexity and Bing Copilot have different source preferences.

Go deeper

Citations and dual optimization

How content lands in AI answers and how to write for Google and AI at once.

Schema and llms.txt for AI

Crawler access, llms.txt and structured data for models.

AI visibility audit

Measuring share of answers and per-platform optimization.