RRepoGEO

REPOGEO REPORT · LITE

mozilla/bugbug

Default branch master · commit f29e596c · scanned 6/3/2026, 2:53:04 PM

GitHub: 565 stars · 334 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 mozilla/bugbug, 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 sentence to emphasize its platform nature and specific application

    Why:

    CURRENT
    Bugbug aims at leveraging machine learning techniques to help with bug and quality management, and other software engineering tasks (such as test selection and defect prediction).
    COPY-PASTE FIX
    Bugbug is an AI-powered platform that leverages machine learning to automate and improve bug triage, quality management, and other software engineering tasks like defect prediction and test selection.
  • hightopics#2
    Add specific topics related to bug triage and defect prediction

    Why:

    CURRENT
    ai, developer-tools, llm, machine-learning, ml, python, software-engineering
    COPY-PASTE FIX
    ai, developer-tools, machine-learning, ml, python, software-engineering, bug-triage, defect-prediction, test-prioritization, quality-assurance, bugzilla
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://mozilla.github.io/bugbug/

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/bugbug
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenNMT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenNMT · recommended 1×
  2. spaCy · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Scikit-learn · recommended 1×
  5. TensorFlow / Keras · recommended 1×
  • CATEGORY QUERY
    How can machine learning improve bug triage and assignment workflows?
    you: not recommended
    AI recommended (in order):
    1. OpenNMT
    2. spaCy
    3. Hugging Face Transformers
    4. Scikit-learn
    5. TensorFlow / Keras
    6. Apache Spark MLlib
    7. Gensim
    8. Elasticsearch
    9. Sentence-BERT
    10. Pandas
    11. NumPy
    12. XGBoost
    13. LightGBM

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

    Show full AI answer
  • CATEGORY QUERY
    What tools use AI to predict software defects and prioritize testing efforts?
    you: not recommended
    AI recommended (in order):
    1. Applitools Eyes
    2. Testim.io
    3. Mabl
    4. DeepCode AI
    5. Snyk Code
    6. Parasoft Insure++
    7. Parasoft Jtest
    8. Cognizant's AI-Powered Quality Engineering Platform
    9. Assure Quality
    10. Tricentis Tosca

    AI recommended 10 alternatives but never named mozilla/bugbug. 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/bugbug?
    pass
    AI named mozilla/bugbug explicitly

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

  • If a team adopts mozilla/bugbug in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mozilla/bugbug 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/bugbug solve, and who is the primary audience?
    pass
    AI named mozilla/bugbug 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 mozilla/bugbug. 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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HTML
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mozilla/bugbug — 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