RRepoGEO

REPOGEO REPORT · LITE

context-labs/autodoc

Default branch master · commit f6069a73 · scanned 5/19/2026, 11:58:05 PM

GitHub: 2,336 stars · 148 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)

2 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 context-labs/autodoc, 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
  • highreadme#1
    Reposition the README's main heading to highlight core differentiators

    Why:

    CURRENT
    <h4 align="center">⚡ Toolkit for auto-generating codebase documentation using LLMs ⚡</h4>
    COPY-PASTE FIX
    <h4 align="center">⚡ An in-repo CLI for generating and querying codebase documentation using LLMs ⚡</h4>
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/context-labs/autodoc
  • lowtopics#3
    Add more specific topics to reinforce the project's niche

    Why:

    CURRENT
    cli-tool, documentation-generator, language-model, typescript
    COPY-PASTE FIX
    cli-tool, documentation-generator, language-model, typescript, code-documentation, llm-powered, developer-tool, in-repo-docs

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 context-labs/autodoc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot Chat / GitHub Copilot
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot Chat / GitHub Copilot · recommended 1×
  2. Tabnine · recommended 1×
  3. Sourcegraph Cody · recommended 1×
  4. OpenAI API · recommended 1×
  5. Documatic · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate documentation for my codebase using AI models?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Chat / GitHub Copilot
    2. Tabnine
    3. Sourcegraph Cody
    4. OpenAI API
    5. Documatic
    6. Swimm

    AI recommended 6 alternatives but never named context-labs/autodoc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best command-line tools for generating code documentation with large language models?
    you: not recommended
    AI recommended (in order):
    1. Documatic CLI
    2. aider
    3. Continue.dev CLI
    4. OpenAI API CLI
    5. Anthropic's Claude
    6. Code Llama
    7. ollama
    8. GitHub Copilot CLI

    AI recommended 8 alternatives but never named context-labs/autodoc. 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 context-labs/autodoc?
    pass
    AI named context-labs/autodoc explicitly

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

  • If a team adopts context-labs/autodoc in production, what risks or prerequisites should they evaluate first?
    pass
    AI named context-labs/autodoc 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 context-labs/autodoc solve, and who is the primary audience?
    pass
    AI named context-labs/autodoc explicitly

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

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context-labs/autodoc — 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
context-labs/autodoc — RepoGEO report