Generative Engine Optimization & The Agentic Web
Technical guides, architectural blueprints, and empirical research on optimizing brands for ChatGPT Search, Perplexity, Claude, and autonomous AI agent tools.
Featured Research
Latest Deep-DiveGenerative Engine Optimization (GEO): The Complete Guide to AI Search Visibility
Learn how Generative Engine Optimization (GEO) replaces traditional SEO. Discover how Perplexity, ChatGPT, Claude, and Google AI Overviews select citations, and how to position your brand as the primary source.
All Articles & Technical Guides
Explore architectural specifications, citation strategy blueprints, and protocols.
Why llms.txt and Schema JSON-LD Are the New robots.txt for AI Crawlers
Discover why AI crawlers like GPTBot, ClaudeBot, and PerplexityBot need dedicated machine-readable files. Master the llms.txt standard and structured Schema.org JSON-LD.
Mastering AI Citations: How Answer Engines Pick Their Authoritative Sources
Reverse-engineering RAG pipelines: How Perplexity, ChatGPT Search, and Gemini evaluate source authority, vector similarity, and factual triangulation to choose citation links.
The Rise of MCP: Turning Web Services into Native AI Agent Tools
Beyond reading text, autonomous AI agents execute actions. Learn how Model Context Protocol (MCP) and FastMCP turn any business website into an interactive agent marketplace.
Benchmark your website's AI citation readiness
Test your domain against Perplexity, ChatGPT Search, and Claude crawlers. See missing Schema.org entities and generate your machine-readable context files.