RRepoGEO

REPOGEO REPORT · LITE

AnswerDotAI/llms-txt

Default branch main · commit 7dd05c5b · scanned 5/16/2026, 7:22:11 AM

GitHub: 2,390 stars · 131 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface AnswerDotAI/llms-txt, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Clarify the 'About' description to emphasize it's a standard

    Why:

    CURRENT
    The /llms.txt file, helping language models use your website
    COPY-PASTE FIX
    A proposed standard for `/llms.txt` files, guiding large language models on how to interact with and use your website content and policies.
  • mediumreadme#2
    Add a direct opening statement to the README content

    Why:

    CURRENT
    ## Background

Large language models increasingly rely on website information...
    COPY-PASTE FIX
    This repository proposes and defines `/llms.txt`, a new web standard inspired by `robots.txt` to help large language models understand and interact with your website content and policies. 

## Background

Large language models increasingly rely on website information...

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface AnswerDotAI/llms-txt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Schema.org
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Schema.org · recommended 2×
  2. JSON-LD · recommended 1×
  3. HTML5 · recommended 1×
  4. XML Sitemaps · recommended 1×
  5. OpenAPI Specification · recommended 1×
  • CATEGORY QUERY
    How to make website content more easily digestible and discoverable for large language models?
    you: not recommended
    AI recommended (in order):
    1. Schema.org
    2. JSON-LD
    3. HTML5
    4. XML Sitemaps

    AI recommended 4 alternatives but never named AnswerDotAI/llms-txt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good approach for providing structured documentation to AI agents accessing my site?
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Specification
    2. JSON Schema
    3. Schema.org
    4. GraphQL Schema Definition Language (SDL)
    5. XML Schemas (XSD)
    6. Semantic Web Technologies (RDF/OWL)
    7. Robots.txt

    AI recommended 7 alternatives but never named AnswerDotAI/llms-txt. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of AnswerDotAI/llms-txt?
    pass
    AI named AnswerDotAI/llms-txt explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts AnswerDotAI/llms-txt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AnswerDotAI/llms-txt explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo AnswerDotAI/llms-txt solve, and who is the primary audience?
    pass
    AI named AnswerDotAI/llms-txt explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite