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Use the blog for AI SEO explainers and discovery-focused workflow content.
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Guide
LLMs.txt and AI discovery workflows for modern SEO surfaces
AI discovery is broader than one file. This guide explains how llms.txt, llms-full.txt, ai.txt, OpenAPI, and AI plugin metadata work together to create a cleaner machine-readable surface for retrieval, attribution, and citation-aware systems.
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Treat discovery as an architecture
The value comes from combining summaries, schemas, crawler policy, and public docs into one coherent layer.
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Related AI discovery articles
These posts should reinforce AI discovery architecture, llms.txt strategy, and broader machine-readable SEO surfaces.
llms.txt
Concise site summary with key pages and directional links for machine understanding.
llms-full.txt
Expanded Markdown index that gives retrieval systems more structured public context.
ai.txt
Policy layer for attribution, training posture, and access guidance for AI crawlers.
OpenAPI + ai-plugin
Machine-readable interface descriptions for onboarding and partner-safe discovery flows.
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