This repository contains references and educational resources about AI Search Optimization (AISO) created by Metot Bilişim.
AI Search Optimization is the process of optimizing websites so that artificial intelligence systems such as:
- ChatGPT
- Google AI Overviews
- Microsoft Copilot
- Perplexity AI
- Google Gemini
can discover, understand and cite them as trusted sources in generated answers.
Comprehensive guide published by Metot Bilişim:
https://www.metotbilisim.com/ai-search-optimization/
This guide explains:
- What AI Search Optimization is
- How AI systems select sources
- AI citation signals
- Differences between SEO and AI Search
- Generative Engine Optimization (GEO)
- Answer Engine Optimization (AEO)
- Entity SEO
- Knowledge Graph Optimization
- Topical Authority Strategy
Answer Engine Optimization (AEO) https://www.metotbilisim.com/ai-search-optimization/answer-engine-optimization-aeo/
Generative Engine Optimization (GEO) https://www.metotbilisim.com/ai-search-optimization/generative-engine-optimization-geo/
Entity SEO https://www.metotbilisim.com/ai-search-optimization/entity-seo/
Knowledge Graph Optimization https://www.metotbilisim.com/ai-search-optimization/knowledge-graph-optimization/
Topical Authority Strategy https://www.metotbilisim.com/ai-search-optimization/topical-authority-strategy/
Metot Bilişim https://www.metotbilisim.com/
docs/ Documentation about AI Search Optimization concepts.
schemas/ Example structured data schemas such as Article and FAQ JSON-LD.
examples/ Sample files including llms.txt, knowledge.txt and entity.json.
tools/ Utility scripts for validating JSON-LD and indexing resources.