RRepoGEO

REPOGEO REPORT · LITE

turningpoint-ai/VisualThinker-R1-Zero

Default branch main · commit cd719784 · scanned 6/11/2026, 10:28:08 AM

GitHub: 623 stars · 23 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 turningpoint-ai/VisualThinker-R1-Zero, 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
    Expand the 'About' description to clarify the repo's unique focus

    Why:

    CURRENT
    Explore the Multimodal “Aha Moment” on 2B Model
    COPY-PASTE FIX
    Replication of DeepSeek-R1-Zero in visual reasoning, demonstrating the first emergent 'aha moment' and increased response length in visual reasoning on a 2B non-SFT model. Focuses on achieving self-correction and emergent reasoning capabilities in small multimodal models without SFT or reward models.
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to explicitly state the terms of use.
  • mediumhomepage#3
    Add the Notion report URL to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://turningpointai.notion.site/the-multimodal-aha-moment-on-2b-model

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 turningpoint-ai/VisualThinker-R1-Zero
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 1×
  2. ALIGN · recommended 1×
  3. CoCa · recommended 1×
  4. MAE · recommended 1×
  5. BEiT · recommended 1×
  • CATEGORY QUERY
    How to achieve emergent reasoning capabilities in small multimodal models without SFT?
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. ALIGN
    3. CoCa
    4. MAE
    5. BEiT
    6. Data2vec
    7. VQ-GAN
    8. Parti
    9. FLAVA
    10. VL-BERT
    11. UNITER
    12. DistilBERT

    AI recommended 12 alternatives but never named turningpoint-ai/VisualThinker-R1-Zero. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for improving visual reasoning and self-correction in models using reinforcement learning?
    you: not recommended
    AI recommended (in order):
    1. DeepMind Lab (deepmind/lab)
    2. Unity ML-Agents Toolkit (Unity-Technologies/ml-agents)
    3. OpenAI Gym (openai/gym)
    4. MetaWorld (rlworkgroup/metaworld)
    5. Habitat-API (facebookresearch/habitat-api)
    6. RLlib (ray-project/ray)
    7. PyTorch Lightning (Lightning-AI/lightning)

    AI recommended 7 alternatives but never named turningpoint-ai/VisualThinker-R1-Zero. 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 turningpoint-ai/VisualThinker-R1-Zero?
    pass
    AI named turningpoint-ai/VisualThinker-R1-Zero explicitly

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

  • If a team adopts turningpoint-ai/VisualThinker-R1-Zero in production, what risks or prerequisites should they evaluate first?
    pass
    AI named turningpoint-ai/VisualThinker-R1-Zero 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 turningpoint-ai/VisualThinker-R1-Zero solve, and who is the primary audience?
    pass
    AI named turningpoint-ai/VisualThinker-R1-Zero 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 turningpoint-ai/VisualThinker-R1-Zero. 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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turningpoint-ai/VisualThinker-R1-Zero — 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