The AI Discoverability Stack
Most brands have a robots.txt written for Google in 2019 and nothing else. No llms.txt. No structured identity file. No signal to AI models about who they are or what they do.
The result? AI reconstructs your brand from fragments — third-party reviews, competitor comparisons, outdated articles. The AI Discoverability Stack fixes this with four machine-readable files that give you control over how models perceive your brand.
Your robots.txt Is the Front Door for AI
Most robots.txt advice blocks AI crawlers. This guide takes the opposite approach — with a free template that welcomes the bots shaping buyer perception.
Read the guideThe File That Tells AI How to Read Your Site
LLMs can't execute JavaScript or parse nav menus. llms.txt gives them a token-efficient table of contents — structured for how models actually consume content.
Read the guideStructuring Your Content for AI Retrieval
The companion to llms.txt. While the index tells crawlers what exists, llms-full.txt provides the RAG-ready deep content — semantically chunked for retrieval.
Read the guideGive AI Your Official Brand Identity
The difference between AI finding information about you and AI knowing your official position. A machine-readable identity file that declares who you are.
Read the guideSee a working example
Optimly's own site implements the full Discoverability Stack. View our llms.txt, llms-full.txt, ai-agent-manifest.json, and robots.txt — all live and serving AI models right now.
View Optimly's AI indexing docs →See How AI Describes Your Brand Right Now
The stack controls discoverability. But what are AI models actually saying once they find you? Search our directory to find out.