RRepoGEO

REPOGEO REPORT · LITE

afx-team/petercat

Default branch main · commit 87be0b84 · scanned 6/23/2026, 9:12:30 PM

GitHub: 1,491 stars · 84 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
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 tagline under the main README heading for disambiguation

    Why:

    COPY-PASTE FIX
    An AI-powered conversational Q&A agent system for GitHub repositories, offering self-hosted deployment and an all-in-one application SDK.
  • highreadme#2
    Translate and prominently feature the core value proposition in the main README

    Why:

    CURRENT
    **专为社区维护者和开发者打造的智能答疑机器人解决方案。**
    COPY-PASTE FIX
    PeterCat is an intelligent Q&A robot solution specifically designed for community maintainers and developers to automate technical support and issue management for GitHub repositories using LLMs.
  • mediumtopics#3
    Add more specific topics for GitHub automation and community support

    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, community-support, issue-management, technical-support-bot

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 Actions
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Actions · recommended 1×
  2. probot/probot · recommended 1×
  3. Mergifyio/mergify · recommended 1×
  4. Zapier · recommended 1×
  5. IFTTT · recommended 1×
  • CATEGORY QUERY
    How can I automate answering common questions and managing issues in my GitHub repo?
    you: not recommended
    AI recommended (in order):
    1. GitHub Actions
    2. Probot (probot/probot)
    3. Mergify (Mergifyio/mergify)
    4. Zapier
    5. IFTTT
    6. Dependabot

    AI recommended 6 alternatives but never named afx-team/petercat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source LLM-powered assistant to provide technical support for my project's documentation.
    you: not recommended
    AI recommended (in order):
    1. DocsGPT
    2. LlamaIndex
    3. Haystack
    4. Rasa
    5. PrivateGPT
    6. Quivr

    AI recommended 6 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?

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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