RRepoGEO

REPOGEO REPORT · LITE

NVlabs/OmniDrive

Default branch main · commit ced20733 · scanned 6/13/2026, 5:41:59 AM

GitHub: 623 stars · 49 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 NVlabs/OmniDrive, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    LLM-Agent framework for end-to-end autonomous driving with 3D perception, reasoning, and planning.
  • mediumreadme#2
    Add a section to the README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [Specify License(s) Here, e.g., a custom NVIDIA license or a combination of licenses]. Please refer to the LICENSE file for full details.

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 NVlabs/OmniDrive
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
commaai/openpilot
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. commaai/openpilot · recommended 2×
  2. carla-simulator/carla · recommended 2×
  3. DriveGPT · recommended 1×
  4. LlamaDrive · recommended 1×
  5. AutoGPT-Driver · recommended 1×
  • CATEGORY QUERY
    What open-source frameworks exist for autonomous driving utilizing large language models for planning?
    you: not recommended
    AI recommended (in order):
    1. DriveGPT
    2. LlamaDrive
    3. OpenPilot (commaai/openpilot)
    4. AutoGPT-Driver
    5. CARLA (carla-simulator/carla)
    6. Apollo (ApolloAuto/apollo)

    AI recommended 6 alternatives but never named NVlabs/OmniDrive. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an LLM agent for self-driving cars with 3D perception and real-time decision making.
    you: not recommended
    AI recommended (in order):
    1. DriveGPT4
    2. Llama-3
    3. Mixtral 8x7B
    4. BEVFormer
    5. PointPillars
    6. CenterPoint
    7. GPT-4o
    8. Chinchilla
    9. OpenPilot (commaai/openpilot)
    10. CARLA Simulator (carla-simulator/carla)

    AI recommended 10 alternatives but never named NVlabs/OmniDrive. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 NVlabs/OmniDrive?
    pass
    AI named NVlabs/OmniDrive explicitly

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

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

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

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MARKDOWN (README)
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NVlabs/OmniDrive — 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