AI Optimization: Strategies to be Cited by LLMs

AI optimization encompasses all techniques to maximize your mentions in AI assistant responses. Discover the strategies that work in 2026.

What is AI Optimization?

AI optimization aims to improve your visibility on conversational AIs through three complementary approaches:

📖 Definition: See our AI Optimization definition in the glossary.

AEO - Answer Engine Optimization

Optimization for answer engines (ChatGPT, Claude, Perplexity). Learn more about AEO →

GEO - Generative Engine Optimization

Optimization for generative AIs (Google AI Overview, SGE). Learn more about GEO →

LLMO - Large Language Model Optimization

Technical optimization for LLMs. Learn more about LLMO →

The 7 Pillars of AI Optimization

  1. Strengthen E-E-A-T
  2. Create structured content
  3. Implement Schema.org
  4. Ensure consistency
  5. Maintain freshness
  6. Build authority via backlinks
  7. Optimize for citations

Measuring AI Optimization Success

  • Mention rate: Citation frequency
  • Average position: Ranking in recommendations
  • Sentiment: Tone of mentions
  • Perplexity traffic: Visits from citations

Request an AI visibility audit →

Article reviewed and updated: May 2026 — verified against current behaviors of ChatGPT, Claude, Gemini and Perplexity.

About the author

Davy Abderrahman

Founder & CEO at

Specialist in AI visibility (AEO/GEO/LLMO), I help agencies and consultants measure and optimize their clients' presence on ChatGPT, Claude, Gemini, Perplexity and other AI answer engines. Pioneer in AI visibility auditing since 2024.

AEO GEO LLMO AI Visibility AI Audits
Only 16% of brands appear when their customers ask AIs. Does yours?

Every question asked to ChatGPT without your name in the answer is a competitor recommended instead of you — measured across 6,820 real AI answers.

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