RRepoGEO

REPOGEO REPORT · LITE

commaai/research

Default branch master · commit 1a437a95 · scanned 5/22/2026, 4:07:45 PM

GitHub: 4,124 stars · 1,156 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 commaai/research, 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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    driving-dataset, autonomous-driving, machine-learning, deep-learning, self-driving-cars, research, computer-vision, simulation
  • highreadme#2
    Reposition README H1 to clearly state dataset and code purpose

    Why:

    CURRENT
    # the people's comma
    COPY-PASTE FIX
    # comma.ai Research: Driving Dataset and Code for "Learning a Driving Simulator"
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://comma.ai/research

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 commaai/research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
nuScenes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. nuScenes · recommended 1×
  2. Waymo Open Dataset · recommended 1×
  3. Argoverse · recommended 1×
  4. KITTI Vision Benchmark Suite · recommended 1×
  5. BDD100K · recommended 1×
  • CATEGORY QUERY
    Where can I find open-source driving datasets for training machine learning models?
    you: not recommended
    AI recommended (in order):
    1. nuScenes
    2. Waymo Open Dataset
    3. Argoverse
    4. KITTI Vision Benchmark Suite
    5. BDD100K
    6. PandaSet

    AI recommended 6 alternatives but never named commaai/research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for code examples to build a driving simulator or train self-driving car models.
    you: not recommended
    AI recommended (in order):
    1. CARLA Simulator (carla-simulator/carla)
    2. AirSim (microsoft/airsim)
    3. Unity
    4. OpenAI Gym (openai/gym)
    5. DeepDrive (deepdrive/deepdrive)
    6. LGSVL Simulator (lgsvl/simulator)
    7. TORCS (The Open Racing Car Simulator)

    AI recommended 7 alternatives but never named commaai/research. 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 commaai/research?
    pass
    AI named commaai/research explicitly

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

  • If a team adopts commaai/research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named commaai/research 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 commaai/research solve, and who is the primary audience?
    pass
    AI named commaai/research explicitly

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

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commaai/research — 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
commaai/research — RepoGEO report