RRepoGEO

REPOGEO REPORT · LITE

AIDC-AI/Awesome-Unified-Multimodal-Models

Default branch main · commit c81ef568 · scanned 6/18/2026, 8:53:15 AM

GitHub: 1,284 stars · 40 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
1 / 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 AIDC-AI/Awesome-Unified-Multimodal-Models, 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
  • highreadme#1
    Move the 'What is This Repo for?' section to the top of the README

    Why:

    CURRENT
    The 'What is This Repo for?' section appears after the main title, survey links, and a 'We are hiring!' section.
    COPY-PASTE FIX
    Move the entire '👉 What is This Repo for?' section, including its bullet points, to appear immediately after the initial title and survey/HF repo links in the README.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the text of the MIT License.
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the GitHub repository settings to `https://arxiv.org/abs/2505.02567`.

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 AIDC-AI/Awesome-Unified-Multimodal-Models
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4o
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4o · recommended 1×
  2. Gemini · recommended 1×
  3. haotian-liu/LLaVA · recommended 1×
  4. CoCa · recommended 1×
  5. CLIP · recommended 1×
  • CATEGORY QUERY
    Looking for resources or a survey on unified multimodal models supporting various input types.
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini
    3. LLaVA (haotian-liu/LLaVA)
    4. CoCa
    5. CLIP
    6. BLIP-2 (salesforce/BLIP-2)
    7. Flamingo

    AI recommended 7 alternatives but never named AIDC-AI/Awesome-Unified-Multimodal-Models. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need to integrate text, image, and audio processing into a single AI model. What options exist?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Diffusers
    3. Audio Spectrogram Transformer
    4. Wav2Vec2
    5. OpenAI CLIP
    6. DALL-E 3
    7. PyTorch Lightning
    8. TensorFlow
    9. Keras
    10. DeepMind Perceiver IO
    11. MMF
    12. Pytorch-Geometric

    AI recommended 12 alternatives but never named AIDC-AI/Awesome-Unified-Multimodal-Models. 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 AIDC-AI/Awesome-Unified-Multimodal-Models?
    pass
    AI did not name AIDC-AI/Awesome-Unified-Multimodal-Models — 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 AIDC-AI/Awesome-Unified-Multimodal-Models in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AIDC-AI/Awesome-Unified-Multimodal-Models 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 AIDC-AI/Awesome-Unified-Multimodal-Models solve, and who is the primary audience?
    pass
    AI did not name AIDC-AI/Awesome-Unified-Multimodal-Models — 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?

Embed your GEO score

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AIDC-AI/Awesome-Unified-Multimodal-Models — 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