RRepoGEO

REPOGEO REPORT · LITE

mozilla-ai/cq

Default branch main · commit 222404e8 · scanned 5/10/2026, 11:31:49 AM

GitHub: 1,114 stars · 49 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 mozilla-ai/cq, 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 core purpose and category

    Why:

    CURRENT
    An open standard for shared agent learning — structured knowledge that prevents AI agents from repeating each other's mistakes.
    COPY-PASTE FIX
    A **protocol and framework for AI agent collective intelligence**, enabling agents to persist, share, and query learned knowledge to prevent redundant failures and accelerate discovery.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agents, go, python
    COPY-PASTE FIX
    agents, go, python, collective-intelligence, knowledge-sharing, multi-agent-systems, ai-collaboration, agent-framework
  • mediumreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## How CQ Compares

Unlike [General ML Frameworks like Hugging Face/MLflow], CQ focuses on [AI agent knowledge sharing and collective intelligence].

Unlike [Multi-Agent Simulation tools like PettingZoo/RLlib], CQ provides [a protocol for real-world agent collaboration, not just simulation].

CQ is NOT a [code quality analysis tool].

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 mozilla-ai/cq
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. Hugging Face Datasets · recommended 1×
  3. MLflow · recommended 1×
  4. Ray · recommended 1×
  5. Ray Tune · recommended 1×
  • CATEGORY QUERY
    How can AI agents share learned knowledge to avoid redundant failures?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Hugging Face Datasets
    3. MLflow
    4. Ray
    5. Ray Tune
    6. Ray RLib
    7. Apache Kafka
    8. RabbitMQ
    9. AWS SQS
    10. Neo4j
    11. Amazon Neptune
    12. OpenAI Gym
    13. Gymnasium

    AI recommended 13 alternatives but never named mozilla-ai/cq. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for collective AI agent learning using Python or Go.
    you: not recommended
    AI recommended (in order):
    1. PettingZoo (Farama-Foundation/PettingZoo)
    2. RLlib (ray-project/ray)
    3. OpenSpiel (deepmind/open_spiel)
    4. Gymnasium (Farama-Foundation/Gymnasium)
    5. Go-Torch (gorgonia/go-torch)
    6. TensorFlow Go (tensorflow/tensorflow)

    AI recommended 6 alternatives but never named mozilla-ai/cq. 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 mozilla-ai/cq?
    pass
    AI did not name mozilla-ai/cq — 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 mozilla-ai/cq in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mozilla-ai/cq 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 mozilla-ai/cq solve, and who is the primary audience?
    pass
    AI did not name mozilla-ai/cq — 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

Drop this badge into the README of mozilla-ai/cq. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/mozilla-ai/cq.svg)](https://repogeo.com/en/r/mozilla-ai/cq)
HTML
<a href="https://repogeo.com/en/r/mozilla-ai/cq"><img src="https://repogeo.com/badge/mozilla-ai/cq.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

mozilla-ai/cq — 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