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Thematic Hubs GEO/AEO
Six resource centres to run your visibility strategy across generative AI. Pick your entry point: Generative Engine Optimization, answer-engine optimisation, the open AQA standard, audit methodology, LLM marketing or MCP technical integration.
GEO Hub
Generative Engine Optimization covers every practice that makes a brand visible inside the answers produced by ChatGPT, Claude, Gemini and Perplexity. Articles, glossary, checklists and methodologies to build a full GEO strategy from E-E-A-T to continuous monitoring.
ExploreAEO Hub
Answer Engine Optimization tunes your content to be selected and cited directly inside conversational AI answers. Q&A formats, structured data, micro-formats: everything you need to move from classic SEO to answer-engine-ready content.
ExploreAQA Standard Hub
The AQA (AI Question Answering) standard is an open format to publish your FAQ and Q&A content in a way LLMs can consume directly. Specification, JSON-LD examples, conformance, AI usage policy: the full documentation of the standard backed by AI Labs Audit and partners.
ExploreAI Visibility Audit Hub
How do you actually audit a brand’s visibility on generative AI? Multi-judge anti-drift methodology, AGS scoring, Hero Grades A+ to F, action plans, competitor tracking: the full pipeline of a professional GEO/AEO audit, step by step.
ExploreLLM GEO Hub
LLM marketing covers everything around content strategy for large language models: llms.txt, citations, hallucinations, mentions, bot tracking and AI referral traffic. A hub for brands that want to understand how LLMs digest their editorial ecosystem.
ExploreMCP Hub
The Model Context Protocol is now the de facto standard to plug an AI assistant into external data and tools. The AI Labs Audit MCP server exposes 225 tools: GEO/AEO audits, client management, credits, exports. Integration guide for Claude Desktop, Cursor, Windsurf and technical FAQ.
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