RRepoGEO

REPOGEO REPORT · LITE

Conchylicultor/DeepQA

Default branch master · commit 886ec77a · scanned 5/12/2026, 1:13:06 PM

GitHub: 2,915 stars · 1,160 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 Conchylicultor/DeepQA, 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 and add clarifying statement

    Why:

    CURRENT
    # Deep Q&A
    COPY-PASTE FIX
    # Deep Q&A: A TensorFlow Implementation of Google's "A Neural Conversational Model" Chatbot

This project specifically reproduces the results of "A Neural Conversational Model" (aka the Google chatbot) using a seq2seq RNN in TensorFlow, focusing on conversational AI research. It is not related to IBM Watson's DeepQA.
  • mediumhomepage#2
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://github.com/Conchylicultor/DeepQA
  • mediumtopics#3
    Refine topics for better categorization

    Why:

    CURRENT
    chatbot, deep-learning, seq2seq, tensorflow
    COPY-PASTE FIX
    chatbot, deep-learning, seq2seq, tensorflow, conversational-ai, neural-conversational-model, google-chatbot, rnn

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 Conchylicultor/DeepQA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. PyTorch · recommended 2×
  3. TensorFlow · recommended 2×
  4. PyTorch Lightning · recommended 1×
  5. Keras · recommended 1×
  • CATEGORY QUERY
    Seeking a Python library for creating a sequence-to-sequence neural chatbot.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch
    3. PyTorch Lightning
    4. TensorFlow
    5. Keras
    6. OpenNMT-py
    7. fairseq

    AI recommended 7 alternatives but never named Conchylicultor/DeepQA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to build a conversational AI agent using deep learning techniques?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Hugging Face Transformers
    3. PyTorch
    4. TensorFlow
    5. DeepPavlov
    6. OpenNMT

    AI recommended 6 alternatives but never named Conchylicultor/DeepQA. 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 Conchylicultor/DeepQA?
    pass
    AI named Conchylicultor/DeepQA explicitly

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

  • If a team adopts Conchylicultor/DeepQA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Conchylicultor/DeepQA 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 Conchylicultor/DeepQA solve, and who is the primary audience?
    pass
    AI named Conchylicultor/DeepQA 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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Conchylicultor/DeepQA — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite