RRepoGEO

REPOGEO REPORT · LITE

allenai/molmo2

Default branch main · commit f3cb1085 · scanned 6/13/2026, 5:42:45 PM

GitHub: 643 stars · 41 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 allenai/molmo2, 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 for video understanding and vision-language models

    Why:

    COPY-PASTE FIX
    video-understanding, vision-language-model, multimodal-ai, object-tracking, point-driven-grounding, deep-learning, pytorch
  • highreadme#2
    Strengthen the README's opening sentence to explicitly state the domain

    Why:

    CURRENT
    This repository is for training and using Ai2's open vision language models, Molmo2 and MolmoPoint. Molmo2 is state-of-the-art among open-source models and demonstrates exceptional new capabilities in point-driven grounding in single image, multi-image, and video tasks as shown below.
    COPY-PASTE FIX
    Molmo2 is Ai2's state-of-the-art open vision-language model specifically designed for advanced video understanding, pointing, and tracking tasks. This repository provides code for training and using Molmo2 and MolmoPoint, which demonstrate exceptional capabilities in point-driven grounding across single image, multi-image, and video analysis.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://allenai.org/blog/molmo2

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 allenai/molmo2
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
facebookresearch/detectron2
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. facebookresearch/detectron2 · recommended 1×
  2. OpenGVLab/Track-Anything · recommended 1×
  3. IDEA-Research/Grounded-Segment-Anything · recommended 1×
  4. open-mmlab/mmtracking · recommended 1×
  5. bytetrack/ByteTrack · recommended 1×
  • CATEGORY QUERY
    How to implement state-of-the-art video understanding with point-driven object grounding?
    you: not recommended
    AI recommended (in order):
    1. Detectron2 (facebookresearch/detectron2)
    2. Track-Anything (OpenGVLab/Track-Anything)
    3. Grounded-SAM (IDEA-Research/Grounded-Segment-Anything)
    4. MMTracking (open-mmlab/mmtracking)
    5. ByteTrack (bytetrack/ByteTrack)
    6. DeepSORT (nwojke/deep_sort)
    7. Hugging Face Transformers (huggingface/transformers)
    8. OWL-ViT (google-research/owlvit)
    9. Kosmos-2 (microsoft/kosmos-2)
    10. Google MediaPipe (google/mediapipe)
    11. Objectron
    12. MobileSAM (ChaoningZhang/MobileSAM)
    13. PyTorchVideo (facebookresearch/pytorchvideo)
    14. OpenCV (opencv/opencv)
    15. YOLO
    16. Mask R-CNN

    AI recommended 16 alternatives but never named allenai/molmo2. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source vision-language models are best for multi-image and video analysis?
    you: not recommended
    AI recommended (in order):
    1. LLaVA
    2. Video-LLaMA
    3. BLIP-2
    4. OpenFlamingo
    5. MiniGPT-4
    6. InternVL

    AI recommended 6 alternatives but never named allenai/molmo2. 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 allenai/molmo2?
    pass
    AI named allenai/molmo2 explicitly

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

  • If a team adopts allenai/molmo2 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named allenai/molmo2 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 allenai/molmo2 solve, and who is the primary audience?
    pass
    AI named allenai/molmo2 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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allenai/molmo2 — 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