Generative Engine Optimisation (GEO) is the practice of optimising your content so it is cited and recommended by AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews. It is different from traditional SEO – AI engines do not rank pages, they retrieve passages.
Based on analysis of 775,000+ websites through SearchScore, the average site scores 34/100 on AI visibility. Only 0.12% of websites are genuinely AI-Ready. Most businesses are invisible to AI search engines without realising it.
Key Articles on GEO and AI Search Visibility
- Your AI Visibility Score Is a Symptom. Not a Strategy.
- GEO vs SEO: What Is the Difference and Do You Need Both?
- E-E-A-T for AI Search: How to Build Trust with Language Models
- Schema Markup for AI Search: The GEO Implementation Guide
- What Is llms.txt and Why Every Website Needs One
- How to Appear in ChatGPT Answers: A Practical Guide for Founders
- Clicks Do Not Rank You Anymore. They Train the System
Frequently Asked Questions About GEO
What is GEO or Generative Engine Optimisation?
GEO (Generative Engine Optimisation) is the practice of optimising your website to be cited and recommended by AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO, GEO focuses on structured data, E-E-A-T signals, and content extractability.
How is GEO different from SEO?
Traditional SEO optimises for Google ranking algorithms. GEO optimises for AI retrieval systems that extract passages to answer queries. Backlinks matter less; structured data, FAQ schema, and direct-answer content patterns matter more for AI citation.
What is the average AI visibility score for websites?
Based on SearchScore audits of 775,000+ websites, the average AI visibility score is 34/100. Only 0.12% of websites reach the AI-Ready tier (80+). Most businesses are effectively invisible to AI search engines.
What are the fastest GEO improvements?
The fastest GEO wins are: allow GPTBot and PerplexityBot in robots.txt, add an llms.txt file, implement Organisation JSON-LD schema, add FAQ schema to key pages, and write answer-first content with direct answers immediately after each heading.
