RRepoGEO

REPOGEO REPORT · LITE

techleadhd/chatgpt-retrieval

Default branch main · commit f40f5aa1 · scanned 5/20/2026, 7:58:05 AM

GitHub: 1,700 stars · 777 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 techleadhd/chatgpt-retrieval, 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
  • highreadme#1
    Reposition README H1 to clarify its simple RAG purpose

    Why:

    CURRENT
    # chatgpt-retrieval

Simple script to use ChatGPT on your own files.
    COPY-PASTE FIX
    # chatgpt-retrieval

A simple, self-contained Python script for Retrieval Augmented Generation (RAG) to query your local documents (text, PDF) using OpenAI's ChatGPT. Ideal for personal, private, and quick local Q&A over your own files without complex frameworks.
  • mediumabout#2
    Add a concise 'About' description

    Why:

    COPY-PASTE FIX
    A simple Python script for Retrieval Augmented Generation (RAG) to query your local documents (text, PDF) using OpenAI's ChatGPT, designed for quick, private, and self-contained local Q&A.

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 techleadhd/chatgpt-retrieval
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. FAISS · recommended 2×
  3. LlamaIndex · recommended 2×
  4. Chroma · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can I ask questions about my own local documents using a language model?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Chroma
    3. FAISS
    4. Pinecone
    5. Weaviate
    6. Qdrant
    7. OpenAI GPT-4
    8. GPT-3.5 Turbo
    9. Llama 2
    10. Mistral
    11. Falcon
    12. Hugging Face Transformers
    13. Ollama
    14. OpenAI Embeddings
    15. Sentence Transformers
    16. LlamaIndex
    17. PrivateGPT
    18. LocalGPT
    19. Haystack
    20. Elasticsearch
    21. OpenSearch

    AI recommended 21 alternatives but never named techleadhd/chatgpt-retrieval. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python script to build a simple question-answering system over custom files.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack (deepset/haystack)
    4. RAGatouille
    5. Sentence-Transformers
    6. FAISS
    7. ChromaDB
    8. transformers

    AI recommended 8 alternatives but never named techleadhd/chatgpt-retrieval. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 techleadhd/chatgpt-retrieval?
    pass
    AI did not name techleadhd/chatgpt-retrieval — 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 techleadhd/chatgpt-retrieval in production, what risks or prerequisites should they evaluate first?
    pass
    AI named techleadhd/chatgpt-retrieval 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 techleadhd/chatgpt-retrieval solve, and who is the primary audience?
    pass
    AI named techleadhd/chatgpt-retrieval 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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  • Brand-free category queries5 vs 2 in Lite
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techleadhd/chatgpt-retrieval — RepoGEO report