RRepoGEO

REPOGEO REPORT · LITE

agent0ai/dox

Default branch main · commit 5cb5ba55 · scanned 6/17/2026, 4:28:03 AM

GitHub: 870 stars · 115 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 agent0ai/dox, 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 opening to clearly state its purpose for AI agents

    Why:

    CURRENT
    DOX is a tiny AGENTS.md framework that gives an AI agent precise project context.
    COPY-PASTE FIX
    DOX is a tiny `AGENTS.md` system designed to give **AI coding assistants** precise, hierarchical project context and guidelines, preventing blind edits and ensuring adherence to project-specific documentation rules.
  • mediumtopics#2
    Add more specific topics related to AI agent guidance and development

    Why:

    CURRENT
    agents-md, ai, ai-agents, documentation
    COPY-PASTE FIX
    agents-md, ai, ai-agents, documentation, ai-agent-guidance, llm-development, code-generation-guidance, project-context-for-ai
  • lowabout#3
    Expand the repository description to clarify its role for AI agents

    Why:

    CURRENT
    Self-documenting AGENTS.md
    COPY-PASTE FIX
    A lightweight framework for AI agents to self-document and follow precise project context and guidelines using AGENTS.md files.

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 agent0ai/dox
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ESLint
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ESLint · recommended 2×
  2. Prettier · recommended 2×
  3. Black · recommended 2×
  4. eslint-config-airbnb · recommended 1×
  5. eslint-config-prettier · recommended 1×
  • CATEGORY QUERY
    How can I provide better project context and guidelines for my AI coding assistant?
    you: not recommended
    AI recommended (in order):
    1. ESLint
    2. eslint-config-airbnb
    3. eslint-config-prettier
    4. Prettier
    5. Black
    6. RuboCop
    7. EditorConfig
    8. JSDoc
    9. TypeDoc
    10. Sphinx
    11. Swagger/OpenAPI
    12. GitHub Issues
    13. GitLab Issues
    14. Jira
    15. Asana
    16. Trello

    AI recommended 16 alternatives but never named agent0ai/dox. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a lightweight way to ensure AI agents follow specific project documentation rules?
    you: not recommended
    AI recommended (in order):
    1. Pydantic
    2. JSON Schema
    3. jsonschema
    4. ajv
    5. Great Expectations
    6. Flake8
    7. ESLint
    8. Docformatter
    9. Black
    10. Prettier

    AI recommended 10 alternatives but never named agent0ai/dox. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 agent0ai/dox?
    pass
    AI named agent0ai/dox explicitly

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

  • If a team adopts agent0ai/dox in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agent0ai/dox 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 agent0ai/dox solve, and who is the primary audience?
    pass
    AI named agent0ai/dox explicitly

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

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agent0ai/dox — 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