RRepoGEO

REPOGEO REPORT · LITE

microsoft/agentrc

Default branch main · commit 17a12b5a · scanned 6/2/2026, 3:57:19 PM

GitHub: 900 stars · 83 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 microsoft/agentrc, 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
    Clarify AgentRC's unique category in the README's opening

    Why:

    COPY-PASTE FIX
    Add this sentence immediately after the tagline 'Context engineering for AI coding agents.':

AgentRC is a **codebase AI-readiness tool** for existing repositories. Unlike AI agent frameworks or documentation style guides, it focuses on generating and validating machine-readable context files to make your codebase understandable and actionable for AI coding agents.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, codebase-analysis, generative-ai, developer-tools, context-engineering, ai-readiness, code-intelligence, llm-tools
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add the official project homepage URL (e.g., `https://microsoft.github.io/agentrc/` or similar).

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 microsoft/agentrc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NumPy Style Docstrings
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NumPy Style Docstrings · recommended 1×
  2. Google Style Docstrings · recommended 1×
  3. JSDoc · recommended 1×
  4. JavaDoc · recommended 1×
  5. XML Documentation Comments · recommended 1×
  • CATEGORY QUERY
    How can I make my existing codebase more understandable for AI coding agents?
    you: not recommended
    AI recommended (in order):
    1. NumPy Style Docstrings
    2. Google Style Docstrings
    3. JSDoc
    4. JavaDoc
    5. XML Documentation Comments
    6. PEP 8
    7. Google Java Style Guide
    8. Airbnb JavaScript Style Guide
    9. Microsoft C# Coding Conventions
    10. Sphinx (sphinx-doc/sphinx)
    11. Swagger/OpenAPI
    12. Doxygen (doxygen/doxygen)
    13. Pytest (pytest-dev/pytest)
    14. JUnit (junit-team/junit5)
    15. Jest (facebook/jest)

    AI recommended 15 alternatives but never named microsoft/agentrc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools to automatically generate and validate context files for AI development assistants?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Rasa
    5. BeautifulSoup
    6. Pandas
    7. Pydantic
    8. Cerberus
    9. Voluptuous
    10. OpenAI API

    AI recommended 10 alternatives but never named microsoft/agentrc. 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 microsoft/agentrc?
    pass
    AI named microsoft/agentrc explicitly

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

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

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

Embed your GEO score

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microsoft/agentrc — 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