RRepoGEO

REPOGEO REPORT · LITE

microsoft/SoM

Default branch main · commit 130438d9 · scanned 5/26/2026, 4:57:30 AM

GitHub: 1,534 stars · 112 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 microsoft/SoM, 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 category visibility

    Why:

    COPY-PASTE FIX
    visual-prompting, gpt4v, large-multimodal-models, lmm, computer-vision, ai, machine-learning, visual-grounding, set-of-mark, segmentation, multimodal-ai
  • mediumreadme#2
    Enhance README introduction to explicitly mention 'segmentation'

    Why:

    CURRENT
    We present **S**eto**fM**ark (SoM) prompting, simply overlaying a number of spatial and speakable marks on the images, to unleash the visual grounding abilities in the strongest LMM -- GPT-4V. **Let's using visual prompting for vision**!
    COPY-PASTE FIX
    We present **S**eto**fM**ark (SoM) prompting, simply overlaying a number of spatial and speakable marks on the images, to unleash the visual grounding and **segmentation** abilities in the strongest LMM -- GPT-4V. **Let's using visual prompting for vision**!
  • lowreadme#3
    Add a sentence highlighting SoM's core differentiator

    Why:

    COPY-PASTE FIX
    SoM's core differentiator lies in its unified, structured, and self-evolving 'State-of-Mind' (SoM) mechanism, setting it apart from other visual grounding approaches.

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 microsoft/SoM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CLIP
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CLIP · recommended 2×
  2. Grounding DINO · recommended 2×
  3. BLIP-2 · recommended 2×
  4. Llama-Adapter V2 · recommended 2×
  5. OWL-ViT · recommended 1×
  • CATEGORY QUERY
    How can I improve visual grounding performance for large language models with images?
    you: not recommended
    AI recommended (in order):
    1. CLIP
    2. Grounding DINO
    3. OWL-ViT
    4. GLIP
    5. BLIP-2
    6. Llama-Adapter V2
    7. RegionCLIP

    AI recommended 7 alternatives but never named microsoft/SoM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective visual prompting methods for enhancing image understanding in AI systems?
    you: not recommended
    AI recommended (in order):
    1. Grounding DINO
    2. CLIP
    3. BLIP-2
    4. Llama-Adapter V2
    5. Visual Prompt Tuning (VPT)
    6. Flamingo
    7. CoCa
    8. ViLBERT
    9. LXMERT

    AI recommended 9 alternatives but never named microsoft/SoM. 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 microsoft/SoM?
    pass
    AI named microsoft/SoM explicitly

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

  • If a team adopts microsoft/SoM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/SoM 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 microsoft/SoM solve, and who is the primary audience?
    pass
    AI named microsoft/SoM 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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MARKDOWN (README)
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HTML
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microsoft/SoM — 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