
GEO: The Complete Guide to Getting Cited by ChatGPT in 2025
GEO Guide 2025: optimize your site to be cited by ChatGPT, Claude, and Perplexity. Proven methods for +40% AI visibility.
What is GEO?
GEO (Generative Engine Optimization) is the practice of optimizing content to appear in AI-generated responses rather than traditional search results.
Unlike SEO which targets Google's 10 blue links, GEO targets citations in responses from ChatGPT, Claude, Perplexity, and Google AI Overviews.
| Criteria | Traditional SEO | GEO |
|---|---|---|
| Goal | Ranking in the 10 blue links | Citations in AI responses |
| Metrics | Position, CTR, impressions | Mentions, citations, LLM traffic |
| Content | Keywords, backlinks | Structured data, E-E-A-T |
| Results | 10 links per page | 2-7 sources cited per response |
| Conversion | Baseline | 4.4x higher |
Why GEO Matters in 2025
In 2025, the search landscape has fundamentally changed. Over 30% of informational searches now go through AI interfaces.
“GEO is not an evolution of SEO, it's a revolution in how content is discovered and consumed.”
“Companies that ignore GEO today will be invisible tomorrow. LLMs are becoming the new entry point for brand discovery.”
Key point: LLMs cite on average only 2 to 7 domains per response, compared to 10 blue links on Google.
The 7 GEO Ranking Factors
Our analysis shows that LLMs evaluate sources based on 7 main factors:
- Schema Markup - JSON-LD structured data
- E-E-A-T - Experience, Expertise, Authoritativeness, Trustworthiness
- Crawler Accessibility - robots.txt, llms.txt
- Content Structure - Headings, lists, tables
- Citations and Sources - Credible external links
- Entity Recognition - Consistent brand mentions
- Technical Performance - HTTPS, mobile, vitesse
How to Implement Schema Markup
Schema markup is the foundation of GEO. Here are the essential types to implement:
Organization Schema
Identifies your brand to LLMs with name, logo, description, and social links.
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Company Name",
"url": "https://exemple.com",
"logo": "https://exemple.com/logo.png",
"description": "Company description...",
"sameAs": [
"https://linkedin.com/company/exemple",
"https://twitter.com/exemple"
]
}Article Schema
Structures your editorial content with author, dates, and categories.
FAQPage Schema
Ideal for frequently asked questions - directly extractable by LLMs.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What is GEO?",
"acceptedAnswer": {
"@type": "Answer",
"text": "GEO (Generative Engine Optimization) is..."
}
}]
}Case Study: +65% Citations in 3 Months
One of our B2B SaaS clients saw their AI citations increase by 65% in 3 months thanks to our complete GEO approach.
Actions taken
- Complete Schema markup implementation (Organization, Article, FAQ)
- Creation of llms.txt file
- Page restructuring with optimized headings
- Addition of E-E-A-T sections (authors, sources, dates)
Results
- +65% citations in ChatGPT
- +40% AI organic traffic
- +25% qualified leads
GEO Checklist - Immediate Actions
Here are the 10 priority actions to optimize your site for AI engines:
- 1Implement Organization Schema on all pages
- 2Add Article Schema on every blog post
- 3Create an llms.txt file at the site root
- 4Configure robots.txt to allow GPTBot and ClaudeBot
- 5Add author sections with photo and bio
- 6Structure content with logical H2/H3 headings
- 7Include credible external sources
- 8Create an FAQ page with FAQPage Schema
- 9Check mobile accessibility and speed
- 10Monitor citations with a GEO tool
Frequently Asked Questions
Sources and References
- GEO vs SEO: The Complete Guide — ahrefs.com
- LLM Traffic Conversion Study 2024 — omnius.com
- Schema.org Documentation — schema.org
Methodology
This article is based on analysis of hundreds of AI responses and data from our GEO audit tool.
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