RRepoGEO

REPOGEO REPORT · LITE

dissorial/doc-chatbot

Default branch master · commit c8751b26 · scanned 6/4/2026, 12:08:14 PM

GitHub: 854 stars · 141 forks

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 dissorial/doc-chatbot, 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 README H1 to clarify application type

    Why:

    CURRENT
    # doc-chatbot: GPT x Pinecone x LangChain
    COPY-PASTE FIX
    # doc-chatbot: Multi-document AI Chatbot Web Application
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the root directory of the repository with your chosen open-source license (e.g., MIT, Apache-2.0).
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo or a dedicated project page in the "Homepage" field of the repository's "About" section.

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 dissorial/doc-chatbot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. Chroma · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How to build an AI chatbot that can answer questions from multiple uploaded documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Chroma
    5. Pinecone
    6. OpenAI API
    7. Hugging Face Transformers / Inference API

    AI recommended 7 alternatives but never named dissorial/doc-chatbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a web application to chat with and manage various document collections with history.
    you: not recommended
    AI recommended (in order):
    1. Chatbase
    2. Custom GPTs
    3. DocsBot.ai
    4. Zendesk Answer Bot
    5. Intercom Fin
    6. Haystack (deepset-ai/haystack)
    7. LangChain (langchain-ai/langchain)

    AI recommended 7 alternatives but never named dissorial/doc-chatbot. 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 dissorial/doc-chatbot?
    pass
    AI did not name dissorial/doc-chatbot — 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 dissorial/doc-chatbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dissorial/doc-chatbot 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 dissorial/doc-chatbot solve, and who is the primary audience?
    pass
    AI did not name dissorial/doc-chatbot — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite