RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/Bagel

Default branch main · commit a2fa77dd · scanned 6/21/2026, 6:43:09 AM

GitHub: 6,029 stars · 536 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 ByteDance-Seed/Bagel, 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 to improve categorization and disambiguation

    Why:

    COPY-PASTE FIX
    multimodal-ai, vision-language-model, text-to-image, generative-ai, foundation-model, computer-vision, nlp, large-language-model
  • highreadme#2
    Add a concise, explicit positioning statement at the very top of the README

    Why:

    CURRENT
    The README currently starts with badges and then the main title.
    COPY-PASTE FIX
    ByteDance-Seed/Bagel is a unified multimodal foundation model for advanced vision-language understanding and high-quality text-to-image generation. It is NOT a graph processing or GNN library.
  • mediumhomepage#3
    Add the official project homepage to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://bagel-ai.org/

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 ByteDance-Seed/Bagel
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LLaVA
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LLaVA · recommended 2×
  2. InstructBLIP · recommended 2×
  3. BLIP-2 · recommended 2×
  4. MiniGPT-4 · recommended 2×
  5. CogVLM · recommended 2×
  • CATEGORY QUERY
    What open-source models can handle both vision-language understanding and text-to-image generation?
    you: not recommended
    AI recommended (in order):
    1. LLaVA
    2. InstructBLIP
    3. BLIP-2
    4. Stable Diffusion
    5. DeepFloyd IF
    6. MiniGPT-4
    7. ControlNet
    8. IP-Adapter
    9. CogVLM

    AI recommended 9 alternatives but never named ByteDance-Seed/Bagel. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a powerful open-source model combining VLM capabilities with strong text-to-image generation.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion XL (SDXL)
    2. LLaVA
    3. InstructBLIP
    4. CogVLM
    5. LLaVA-Med
    6. MiniGPT-4
    7. BLIP-2

    AI recommended 7 alternatives but never named ByteDance-Seed/Bagel. 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 ByteDance-Seed/Bagel?
    pass
    AI named ByteDance-Seed/Bagel explicitly

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

  • If a team adopts ByteDance-Seed/Bagel in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ByteDance-Seed/Bagel 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 ByteDance-Seed/Bagel solve, and who is the primary audience?
    pass
    AI named ByteDance-Seed/Bagel explicitly

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

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ByteDance-Seed/Bagel — 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