RRepoGEO

REPOGEO REPORT · LITE

peterw/Chat-with-Github-Repo

Default branch main · commit 446c4143 · scanned 6/18/2026, 10:08:02 PM

GitHub: 1,143 stars · 163 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
22 /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
1 / 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 peterw/Chat-with-Github-Repo, 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 clarify its nature and core technologies

    Why:

    CURRENT
    # Chat-with-Github-Repo

This repository contains Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.
    COPY-PASTE FIX
    # Chat-with-Github-Repo: An Example Chatbot Application for GitHub Repositories

This repository provides a complete, runnable example application demonstrating how to build a chatbot that answers questions about any GitHub repository's content. It leverages Streamlit for the UI, OpenAI GPT-3.5-turbo for conversational AI, and Activeloop's Deep Lake for efficient vector storage and retrieval.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    chatbot, streamlit, openai, gpt-3.5-turbo, deep-lake, github, ai-assistant, vector-database, example-project, python
  • mediumreadme#3
    Add a clear problem/solution statement to the README

    Why:

    CURRENT
    The chatbot searches a dataset stored in Deep Lake to find relevant information from any Git repository and generates responses based on the user's input.
    COPY-PASTE FIX
    This application solves the challenge of quickly understanding the content and purpose of any GitHub repository by allowing users to ask natural language questions and receive AI-generated answers. It streamlines the process of exploring codebases, documentation, and project details without manual searching.

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 peterw/Chat-with-Github-Repo
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. Pinecone · recommended 2×
  4. Weaviate · recommended 2×
  5. Streamlit · recommended 2×
  • CATEGORY QUERY
    How to build a chatbot that answers questions about a GitHub repository's content?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Anthropic Claude API
    5. Chroma
    6. Pinecone
    7. Weaviate
    8. GitHub API
    9. Sentence Transformers
    10. OpenAI Embeddings API
    11. Streamlit
    12. Gradio

    AI recommended 12 alternatives but never named peterw/Chat-with-Github-Repo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python tool to create an AI assistant for querying information from a code repository?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Faiss
    5. sentence-transformers
    6. OpenAI's embedding API
    7. Weaviate
    8. Pinecone
    9. Gradio
    10. Streamlit

    AI recommended 10 alternatives but never named peterw/Chat-with-Github-Repo. 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 peterw/Chat-with-Github-Repo?
    pass
    AI did not name peterw/Chat-with-Github-Repo — likely talking about a different project

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

  • If a team adopts peterw/Chat-with-Github-Repo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named peterw/Chat-with-Github-Repo 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 peterw/Chat-with-Github-Repo solve, and who is the primary audience?
    pass
    AI did not name peterw/Chat-with-Github-Repo — likely talking about a different project

    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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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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peterw/Chat-with-Github-Repo — RepoGEO report