RRepoGEO

REPOGEO REPORT · LITE

mees/calvin

Default branch main · commit fa03f01f · scanned 6/7/2026, 3:17:35 PM

GitHub: 931 stars · 123 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 mees/calvin, 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
  • highabout#1
    Update the 'about' description to include the full acronym expansion

    Why:

    CURRENT
    CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
    COPY-PASTE FIX
    CALVIN (Composing Actions from Language and Vision) is an open-source simulated benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks.
  • highreadme#2
    Reposition the README H1 to specify the full project name and purpose

    Why:

    CURRENT
    # CALVIN
    COPY-PASTE FIX
    # CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
  • mediumtopics#3
    Add 'benchmark' and 'robot-manipulation' to the repository topics

    Why:

    CURRENT
    computer-vision, deep-learning, grounding, manipulation, natural-language-processing, pytorch, robotics, vision, vision-and-language, vision-language
    COPY-PASTE FIX
    benchmark, robot-manipulation, computer-vision, deep-learning, grounding, manipulation, natural-language-processing, pytorch, robotics, vision, vision-and-language, vision-language

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 mees/calvin
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RLBench
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RLBench · recommended 2×
  2. ALFWorld (ALFRED) · recommended 1×
  3. Meta-World · recommended 1×
  4. Calvin (Composing Activities from Language for Versatile Instruction Following) · recommended 1×
  5. SayCan (Google's SayCan Benchmark) · recommended 1×
  • CATEGORY QUERY
    What are the best simulated benchmarks for long-horizon robot manipulation with language instructions?
    you: not recommended
    AI recommended (in order):
    1. ALFWorld (ALFRED)
    2. RLBench
    3. Meta-World
    4. Calvin (Composing Activities from Language for Versatile Instruction Following)
    5. SayCan (Google's SayCan Benchmark)
    6. RoboStack (Robotics Stack for Learning and Evaluation)

    AI recommended 6 alternatives but never named mees/calvin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking frameworks for training robot manipulation policies using vision and natural language.
    you: not recommended
    AI recommended (in order):
    1. Open X-Embodiment
    2. RoboCat
    3. RLBench
    4. Franka Emika Panda
    5. ROS
    6. MoveIt!
    7. Habitat
    8. PyRobot

    AI recommended 8 alternatives but never named mees/calvin. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 mees/calvin?
    pass
    AI named mees/calvin explicitly

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

  • If a team adopts mees/calvin in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mees/calvin 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 mees/calvin solve, and who is the primary audience?
    pass
    AI named mees/calvin 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite