RRepoGEO

REPOGEO REPORT · LITE

AnswerDotAI/llms-txt

Default branch main · commit ab0d61d9 · scanned 6/27/2026, 2:52:01 AM

GitHub: 2,472 stars · 145 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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

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

OVERALL DIRECTION
  • hightopics#1
    Add specific topics for LLM content standards

    Why:

    COPY-PASTE FIX
    llm-content-standard, ai-website-content, web-standard-proposal, llm-data-extraction, semantic-web-for-llms
  • highreadme#2
    Add a clear opening statement differentiating from general web metadata

    Why:

    CURRENT
    Large language models increasingly rely on website information, but face a critical limitation: context windows are too small to handle most websites in their entirety.
    COPY-PASTE FIX
    Add the following sentence as the first line of the 'Background' section: 'The `/llms.txt` file is a proposed open standard for providing structured, LLM-optimized content directly on websites, distinct from general web metadata like Schema.org or Sitemaps.'
  • mediumcomparison#3
    Add a comparison section differentiating from existing web standards

    Why:

    COPY-PASTE FIX
    Add a new section to the README, perhaps titled 'How is `/llms.txt` different from existing web standards?', explaining its unique LLM-centric purpose and benefits compared to Schema.org, Sitemaps, OpenGraph, etc.

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Schema.org · recommended 1×
  2. HTML5 · recommended 1×
  3. XML Sitemaps · recommended 1×
  4. Google Search Console · recommended 1×
  5. Schema.org (JSON-LD) · recommended 1×
  • CATEGORY QUERY
    How can I make my website content more digestible and useful for large language models?
    you: not recommended
    AI recommended (in order):
    1. Schema.org
    2. HTML5
    3. XML Sitemaps
    4. Google Search Console

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

    Show full AI answer
  • CATEGORY QUERY
    What is a good way to provide structured website information specifically for AI models?
    you: not recommended
    AI recommended (in order):
    1. Schema.org (JSON-LD)
    2. Sitemap XML
    3. OpenGraph Protocol
    4. Dublin Core
    5. Custom JSON API Endpoint
    6. RSS/Atom Feeds

    AI recommended 6 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?

Embed your GEO score

Drop this badge into the README of AnswerDotAI/llms-txt. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/AnswerDotAI/llms-txt.svg)](https://repogeo.com/en/r/AnswerDotAI/llms-txt)
HTML
<a href="https://repogeo.com/en/r/AnswerDotAI/llms-txt"><img src="https://repogeo.com/badge/AnswerDotAI/llms-txt.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

AnswerDotAI/llms-txt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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