RRepoGEO

REPOGEO REPORT · LITE

afx-team/petercat

Default branch main · commit 87be0b84 · scanned 5/13/2026, 10:07:14 AM

GitHub: 1,493 stars · 83 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 afx-team/petercat, 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
    Add a clear English positioning statement to the top of README.md

    Why:

    COPY-PASTE FIX
    Add the following English sentence immediately after the H1 in `README.md`: 'PeterCat is an intelligent Q&A bot solution for GitHub repositories, designed for community maintainers and developers, offering a conversational Q&A agent configuration system, self-hosted deployment solutions, and an all-in-one application SDK.'
  • mediumtopics#2
    Add specific GitHub automation topics

    Why:

    CURRENT
    ai, assistant, assistant-chat-bots, assistants, github-apps, llm, rag, react
    COPY-PASTE FIX
    ai, assistant, assistant-chat-bots, assistants, github-apps, llm, rag, react, github-automation, issue-management, code-review, q-a-bot
  • mediumreadme#3
    Add a 'Why PeterCat?' or 'Beyond Basic Q&A' section

    Why:

    COPY-PASTE FIX
    Expand the '不止是 QA 机器人' section (or create a new 'Why PeterCat?' section) with a short paragraph like: 'While many tools offer basic Q&A, PeterCat goes further by integrating directly with GitHub workflows for advanced tasks like automated PR summaries, intelligent code reviews, and comprehensive issue management (creating, replying, and querying issues). This makes PeterCat a complete solution for GitHub community and development support, unlike simpler Q&A bots or generic LLM frameworks.'

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 afx-team/petercat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot for Business
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot for Business · recommended 1×
  2. DocsGPT · recommended 1×
  3. LlamaIndex · recommended 1×
  4. OpenAI API · recommended 1×
  5. Anthropic's Claude · recommended 1×
  • CATEGORY QUERY
    How can I set up an AI assistant for my GitHub repository to answer common questions?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. DocsGPT
    3. LlamaIndex
    4. OpenAI API
    5. Anthropic's Claude
    6. Google's Gemini
    7. Llama 2
    8. Hugging Face Inference API
    9. LangChain
    10. Zendesk Answer Bot
    11. Intercom Answer Bot
    12. Custom GitHub Action

    AI recommended 12 alternatives but never named afx-team/petercat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a self-hostable LLM-powered bot to automate GitHub issue responses and code reviews.
    you: not recommended
    AI recommended (in order):
    1. CodiumAI
    2. Continue.dev
    3. LocalAI
    4. OpenDevin
    5. LLaMA-Factory

    AI recommended 5 alternatives but never named afx-team/petercat. 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 afx-team/petercat?
    pass
    AI named afx-team/petercat explicitly

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

  • If a team adopts afx-team/petercat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named afx-team/petercat 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 afx-team/petercat solve, and who is the primary audience?
    pass
    AI named afx-team/petercat 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 afx-team/petercat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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afx-team/petercat — 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