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:
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
- Strengthen E-E-A-T
- Create structured content
- Implement Schema.org
- Ensure consistency
- Maintain freshness
- Build authority via backlinks
- 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
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Article reviewed and updated: May 2026 — verified against current behaviors of ChatGPT, Claude, Gemini and Perplexity.
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.