RRepoGEO

REPOGEO REPORT · LITE

linchangyi1/Awesome-Touch

Default branch main · commit 59e52b7e · scanned 6/6/2026, 3:47:53 AM

GitHub: 698 stars · 52 forks

AI VISIBILITY SCORE
28 /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
2 / 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 linchangyi1/Awesome-Touch, 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 relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    tactile-sensing, robotics, manipulation, reinforcement-learning, imitation-learning, visual-tactile, haptics, awesome-list, research-resources, simulation, datasets, sensors, open-source
  • highabout#2
    Clarify the repository description to state its nature as an 'Awesome List'

    Why:

    CURRENT
    Tactile Sensing • IL/RL/VLA/WM • Manipulation • Representation • Simulation • Open Source
    COPY-PASTE FIX
    A curated Awesome List of resources for Tactile Sensing, including IL/RL/VLA/WM, Manipulation, Representation, Simulation, and Open Source projects.
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/linchangyi1/Awesome-Touch

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 linchangyi1/Awesome-Touch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROS
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROS · recommended 2×
  2. PyBullet · recommended 2×
  3. SynTouch BioTac · recommended 1×
  4. GelSight · recommended 1×
  5. TacTip · recommended 1×
  • CATEGORY QUERY
    What resources exist for developing dexterous manipulation using tactile sensing in robotics?
    you: not recommended
    AI recommended (in order):
    1. SynTouch BioTac
    2. GelSight
    3. TacTip
    4. Robotiq FT 300/FT 150 Force Torque Sensors
    5. ROS
    6. OpenAI Gym
    7. PyBullet
    8. MuJoCo
    9. Franka Emika Panda
    10. Kinova Gen3
    11. Universal Robots

    AI recommended 11 alternatives but never named linchangyi1/Awesome-Touch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find open-source simulators and datasets for visual-tactile robotics applications?
    you: not recommended
    AI recommended (in order):
    1. DIGIT / DIGIT-Sim
    2. Isaac Gym / Isaac Sim
    3. Gazebo
    4. ROS
    5. PyBullet
    6. Gym-Ignition
    7. RoboNet / RoboNet-Sim
    8. Tactile-Gym

    AI recommended 8 alternatives but never named linchangyi1/Awesome-Touch. 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 linchangyi1/Awesome-Touch?
    pass
    AI did not name linchangyi1/Awesome-Touch — 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 linchangyi1/Awesome-Touch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named linchangyi1/Awesome-Touch 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 linchangyi1/Awesome-Touch solve, and who is the primary audience?
    pass
    AI named linchangyi1/Awesome-Touch explicitly

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

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linchangyi1/Awesome-Touch — 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