RRepoGEO

REPOGEO REPORT · LITE

baaivision/Emu3

Default branch main · commit dbbf9858 · scanned 5/20/2026, 11:17:58 PM

GitHub: 2,408 stars · 98 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
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 baaivision/Emu3, 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 the repository

    Why:

    COPY-PASTE FIX
    multimodal-ai, text-to-image, text-to-video, video-generation, image-generation, vision-language-model, foundation-model, next-token-prediction, large-multimodal-model
  • highabout#2
    Update the repository's 'About' description

    Why:

    CURRENT
    Next-Token Prediction is All You Need
    COPY-PASTE FIX
    Emu3: A state-of-the-art multimodal foundation model for unified image, text, and video generation and perception, trained solely with next-token prediction.
  • mediumreadme#3
    Update the README's main H1 heading

    Why:

    CURRENT
    <h1>Emu3: Next-Token Prediction is All You Need</h1h1>
    COPY-PASTE FIX
    <h1>Emu3: A Unified Multimodal Foundation Model for High-Quality Image, Text, and Video Generation & Perception</h1>

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 baaivision/Emu3
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DALL-E 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DALL-E 3 · recommended 1×
  2. Midjourney · recommended 1×
  3. Stable Diffusion XL (SDXL) · recommended 1×
  4. Google Imagen · recommended 1×
  5. Adobe Firefly · recommended 1×
  • CATEGORY QUERY
    Looking for a single model to generate high-quality images and understand vision-language concepts.
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. Midjourney
    3. Stable Diffusion XL (SDXL)
    4. Google Imagen
    5. Adobe Firefly

    AI recommended 5 alternatives but never named baaivision/Emu3. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source multimodal models for text-to-image and video generation?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion (stability-ai/stable-diffusion)
    2. AnimateDiff (guoyww/AnimateDiff)
    3. Stable Video Diffusion (SVD) (stability-ai/stable-video-diffusion)
    4. ModelScope Text-to-Video Synthesis (damo-vilab/modelscope-text-to-video-synthesis)
    5. DeepFloyd IF (Stability-AI/DeepFloyd-IF)
    6. Show-1 (showlab/Show-1)
    7. CogVideo (THUDM/CogVideo)

    AI recommended 7 alternatives but never named baaivision/Emu3. 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 baaivision/Emu3?
    pass
    AI named baaivision/Emu3 explicitly

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

  • If a team adopts baaivision/Emu3 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named baaivision/Emu3 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 baaivision/Emu3 solve, and who is the primary audience?
    pass
    AI named baaivision/Emu3 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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baaivision/Emu3 — 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