RRepoGEO

REPOGEO REPORT · LITE

thiswillbeyourgithub/wdoc

Default branch main · commit 3e324762 · scanned 6/16/2026, 11:06:54 AM

GitHub: 518 stars · 44 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 thiswillbeyourgithub/wdoc, 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 immediate opening to clarify wdoc's core purpose.

    Why:

    CURRENT
    # wdoc
<p align="center"></p>
> *I'm wdoc. I solve RAG problems.*
    COPY-PASTE FIX
    # wdoc
> **A powerful RAG (Retrieval-Augmented Generation) system for querying and summarizing diverse documents. Not a documentation generator.**
<p align="center"></p>
> *I'm wdoc. I solve RAG problems.*
  • mediumtopics#2
    Expand repository topics to improve category visibility and association with competitors.

    Why:

    CURRENT
    langchain, llm, news, parser, pdf, python, question-answering, rag, summarizer
    COPY-PASTE FIX
    langchain, llm, news, parser, pdf, python, question-answering, rag, summarizer, vector-database, embeddings, information-retrieval, knowledge-base, document-processing, llm-agnostic
  • lowreadme#3
    Add a 'Key Differentiators' section to the README.

    Why:

    COPY-PASTE FIX
    ## Key Differentiators

While tools like LlamaIndex and LangChain provide frameworks for RAG, `wdoc` offers a complete, opinionated system for handling *heterogeneous* documents at scale, providing advanced RAG and summarization out-of-the-box. It's designed for users needing definitive answers from vast, diverse corpora (from audio to PDFs), with scriptable workflows and LLM provider agnosticism.

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 thiswillbeyourgithub/wdoc
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Haystack · recommended 1×
  4. Weaviate · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build a system for querying and summarizing diverse document types with advanced RAG?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Weaviate
    5. Pinecone
    6. OpenSearch

    AI recommended 6 alternatives but never named thiswillbeyourgithub/wdoc. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for extracting information and summarizing from many different file formats?
    you: not recommended
    AI recommended (in order):
    1. Apache Tika
    2. Unstructured.io (Unstructured-IO/unstructured)
    3. Haystack (deepset-ai/haystack)
    4. NLTK (nltk/nltk)
    5. spaCy (explosion/spaCy)
    6. Azure AI Document Intelligence
    7. Google Cloud Document AI

    AI recommended 7 alternatives but never named thiswillbeyourgithub/wdoc. 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 thiswillbeyourgithub/wdoc?
    pass
    AI named thiswillbeyourgithub/wdoc explicitly

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

  • If a team adopts thiswillbeyourgithub/wdoc in production, what risks or prerequisites should they evaluate first?
    pass
    AI named thiswillbeyourgithub/wdoc 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 thiswillbeyourgithub/wdoc solve, and who is the primary audience?
    pass
    AI named thiswillbeyourgithub/wdoc 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 thiswillbeyourgithub/wdoc. 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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  • Brand-free category queries5 vs 2 in Lite
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