RRepoGEO

REPOGEO REPORT · LITE

AILab-CVC/SEED-X

Default branch main · commit 420d347d · scanned 6/8/2026, 4:17:50 PM

GitHub: 558 stars · 24 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 AILab-CVC/SEED-X, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen the README's opening statement to clarify project purpose

    Why:

    CURRENT
    We introduce SEED-X, a unified and versatile foundation model, which can serve as various multimodal AI assistants **in the real world** after different instruction tuning, capable of responding to a variety of user needs through unifying **multi-granularity comprehension and generation**.
    COPY-PASTE FIX
    SEED-X is a cutting-edge **multimodal foundation model** designed to power versatile **AI assistants** for **real-world applications**. It unifies **multi-granularity comprehension and generation**, enabling a wide range of capabilities including **image editing**, multimodal story generation, and general instruction-tuned responses.
  • mediumreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under the terms specified in the [LICENSE](LICENSE) file.

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 AILab-CVC/SEED-X
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4o · recommended 2×
  2. DALL-E 3 · recommended 2×
  3. Midjourney · recommended 2×
  4. Gemini 1.5 Pro · recommended 1×
  5. Claude 3 Opus · recommended 1×
  • CATEGORY QUERY
    What foundation models can power versatile AI assistants for real-world multimodal tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Gemini 1.5 Pro
    3. Claude 3 Opus
    4. Llama 3
    5. LLaVA
    6. InstructBLIP
    7. DALL-E 3
    8. Midjourney
    9. Stable Diffusion XL

    AI recommended 9 alternatives but never named AILab-CVC/SEED-X. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a unified model for multimodal comprehension and generation, including image editing capabilities.
    you: not recommended
    AI recommended (in order):
    1. GPT-4o
    2. Google Gemini
    3. DALL-E 3
    4. Stable Diffusion XL (SDXL)
    5. ControlNet
    6. InstructPix2Pix
    7. Midjourney
    8. CogVLM
    9. CogView

    AI recommended 9 alternatives but never named AILab-CVC/SEED-X. 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 AILab-CVC/SEED-X?
    pass
    AI named AILab-CVC/SEED-X explicitly

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

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

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

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AILab-CVC/SEED-X — 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