KNOWLEDGE BASE — AI SEARCH OPTIMIZATION
AEO + AI Visibility Reference
22 fact-dense entries covering AI search optimization, answer engine optimization (AEO), generative engine optimization (GEO), and every technical component that determines your AI visibility score.
AI Search Optimization
The practice of optimizing a website so AI systems like ChatGPT, Claude, and Perplexity can find, understand, and recommend it to users.
llms.txt
A plain-text file placed at the root of a domain (yourdomain.com/llms.txt) that describes a business to AI systems — its name, services, pricing, and contact information.
Answer Engine Optimization (AEO)
The discipline of optimizing content and technical infrastructure so AI answer engines — ChatGPT, Perplexity, Claude, Gemini — cite your business in their responses.
Generative Engine Optimization (GEO)
The process of optimizing content for inclusion in AI-generated outputs — ensuring generative AI models extract, cite, and recommend your business in synthesized responses.
AI SEO Optimization
Combining traditional SEO practices with AI search optimization (AEO) techniques to maximize visibility across both Google search rankings and AI-generated recommendations.
AI Search Optimization Services
Managed or done-for-you services that implement AEO/GEO technical fixes, content structuring, and AI visibility monitoring for business clients.
AI Search Optimization Tools
Software platforms that audit, fix, and monitor AI search visibility — helping businesses and agencies measure and improve their presence in AI-generated recommendations.
LLM Search Optimization
Optimizing websites and content for discovery and citation by Large Language Models (LLMs) used in AI search products like ChatGPT Search, Claude, and Perplexity.
AI Search Engine Optimization Strategies
Tactical approaches for improving business visibility in AI search — organized by priority, implementation complexity, and impact on AI citation frequency.
AI Visibility
The degree to which an AI system can find, read, understand, and recommend a business — measured on a scale of 0–100 across five technical and content dimensions.
AI Citation
When an AI system explicitly names, links to, or recommends a specific business, product, or source in response to a user query.
AI Crawler Access
Whether the robots.txt file on a domain permits AI crawlers — GPTBot, ClaudeBot, PerplexityBot, Google-Extended — to fetch and index content from the site.
Robots.txt for AI Crawlers
Configuration of the robots.txt file to explicitly allow or block specific AI crawlers — a critical first step in AI search optimization.
Structured Data for AI
Machine-readable markup — primarily JSON-LD — embedded in web pages to help AI systems extract specific facts about a business, its services, pricing, and location.
JSON-LD Schema for AI
A JavaScript notation for embedding structured data in web pages — the most effective format for communicating business facts to AI search systems.
MCP Server (Model Context Protocol)
A server endpoint that implements the Model Context Protocol, allowing AI agents to take programmatic actions on behalf of users — booking, querying, purchasing — directly through an AI interface.
AI Visibility Score
A 0–100 score measuring how visible and recommendable a business is to AI search systems, calculated across six technical dimensions.
GPTBot
OpenAI's web crawler — used to index content for ChatGPT's training data and retrieval-augmented generation (RAG) in ChatGPT Search.
ClaudeBot
Anthropic's web crawler — indexes content for Claude's knowledge base and retrieval systems. Also identified by the user-agent string anthropic-ai.
PerplexityBot
Perplexity AI's web crawler — powers the source citations shown in Perplexity search results and feeds the AI's real-time retrieval-augmented generation system.
Google-Extended (Gemini)
Google's crawler for AI training and Gemini AI products — separate from the standard Googlebot that powers traditional search rankings.
AEO for Agencies
The practice of marketing agencies offering Answer Engine Optimization as a service to clients — using platforms like Zygur to audit, fix, and monitor AI visibility across a client portfolio.
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