GEO Guide 2025 - AI Engine Optimization
GEO

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.

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⏱️15 min

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.

CriteriaTraditional SEOGEO
GoalRanking in the 10 blue linksCitations in AI responses
MetricsPosition, CTR, impressionsMentions, citations, LLM traffic
ContentKeywords, backlinksStructured data, E-E-A-T
Results10 links per page2-7 sources cited per response
ConversionBaseline4.4x 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.

R
Rand Fishkin

Co-founder chez SparkToro

Companies that ignore GEO today will be invisible tomorrow. LLMs are becoming the new entry point for brand discovery.

E
Eli Schwartz

Growth Advisor & Author chez Product-Led SEO

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:

  1. Schema Markup - JSON-LD structured data
  2. E-E-A-T - Experience, Expertise, Authoritativeness, Trustworthiness
  3. Crawler Accessibility - robots.txt, llms.txt
  4. Content Structure - Headings, lists, tables
  5. Citations and Sources - Credible external links
  6. Entity Recognition - Consistent brand mentions
  7. 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.

JSON-LD Example - Organization Schema
{
  "@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.

JSON-LD Example - FAQPage Schema
{
  "@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:

  1. 1Implement Organization Schema on all pages
  2. 2Add Article Schema on every blog post
  3. 3Create an llms.txt file at the site root
  4. 4Configure robots.txt to allow GPTBot and ClaudeBot
  5. 5Add author sections with photo and bio
  6. 6Structure content with logical H2/H3 headings
  7. 7Include credible external sources
  8. 8Create an FAQ page with FAQPage Schema
  9. 9Check mobile accessibility and speed
  10. 10Monitor citations with a GEO tool

Frequently Asked Questions


Sources and References

  1. GEO vs SEO: The Complete Guideahrefs.com
  2. LLM Traffic Conversion Study 2024omnius.com
  3. Schema.org Documentationschema.org

Methodology

This article is based on analysis of hundreds of AI responses and data from our GEO audit tool.

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