We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic. By clicking “Accept,” you agree to our website's cookie use as described in our Cookie Policy. You can change your cookie settings at any time by clicking “Preferences.”
    Your brand has an AI profile — whether you know it or not. Claim yours →
    Optimly Logo
    Search For Your Brand

    AI Indexing Documentation

    Optimly provides machine-readable content optimized for AI agents, RAG pipelines, and LLM retrieval systems.

    llms.txt

    Token-efficient index of key Optimly URLs and services. Ideal for quick context loading and navigation.

    • • Lightweight (~50 lines)
    • • Core services and documentation links
    • • Entity disambiguation included
    ViewDownload

    llms-full.txt

    Dynamically generated full AI brand directory + RAG-ready content with semantic chunking and YAML metadata delimiters.

    • • Complete AI brand directory (auto-updated)
    • • Self-contained semantic chunks
    • • Chunk IDs and source URLs
    ViewDownload

    For AI Developers

    These files follow the emerging llms.txt standard for providing structured content to AI systems.

    Chunk Format (llms-full.txt)

    ---
chunk_id: methodology-001
topic: The Measurement Problem
source: https://optimly.ai/resources/methodology
---

# The Measurement Problem

[Self-contained content for RAG retrieval...]

    Want to implement this for your brand?

    Our AI Discoverability Stack guide series walks you through building each of these files — robots.txt, llms.txt, llms-full.txt, and ai-agent-manifest.json — with free templates and design decisions explained.

    Read the Discoverability Stack guides

    Additional Resources