RRepoGEO

REPOGEO REPORT · LITE

mckaywrigley/repo-chat

Default branch main · commit caffa47a · scanned 6/11/2026, 7:42:49 AM

GitHub: 607 stars · 105 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 mckaywrigley/repo-chat, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise "About" description

    Why:

    COPY-PASTE FIX
    An open-source Python tool that lets you chat with any GitHub repository using natural language, powered by OpenAI embeddings and Supabase pgvector.
  • mediumreadme#2
    Reposition the README's opening sentence to clarify its role as a standalone tool

    Why:

    CURRENT
    Repo chat allows you to ask questions about a GitHub repository.
    COPY-PASTE FIX
    Repo Chat is an open-source Python application that allows you to ask questions and get answers about any GitHub repository using natural language.

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 mckaywrigley/repo-chat
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. ChromaDB · recommended 1×
  • CATEGORY QUERY
    How can I build a chatbot to answer questions about a specific code repository?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI GPT-4
    3. ChromaDB
    4. text-embedding-ada-002
    5. LlamaIndex
    6. Pinecone
    7. Haystack
    8. Hugging Face Models
    9. sentence-transformers/all-MiniLM-L6-v2
    10. T5
    11. BART
    12. Llama 2
    13. Elasticsearch
    14. FAISS
    15. OpenAI GPT-3.5 Turbo
    16. GitHub Copilot Chat
    17. Streamlit
    18. Flask

    AI recommended 18 alternatives but never named mckaywrigley/repo-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python project to create an AI-powered code knowledge base.
    you: not recommended
    AI recommended (in order):
    1. Haystack
    2. LlamaIndex
    3. LangChain
    4. Faiss
    5. Sentence-Transformers
    6. Gensim
    7. spaCy

    AI recommended 7 alternatives but never named mckaywrigley/repo-chat. 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 mckaywrigley/repo-chat?
    pass
    AI named mckaywrigley/repo-chat explicitly

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

  • If a team adopts mckaywrigley/repo-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mckaywrigley/repo-chat 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 mckaywrigley/repo-chat solve, and who is the primary audience?
    pass
    AI named mckaywrigley/repo-chat 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 mckaywrigley/repo-chat. 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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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/mckaywrigley/repo-chat"><img src="https://repogeo.com/badge/mckaywrigley/repo-chat.svg" alt="RepoGEO" /></a>
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite