RRepoGEO

REPOGEO REPORT · LITE

Alpha-VLLM/Lumina-mGPT

Default branch main · commit a28a38fb · scanned 6/14/2026, 6:52:37 AM

GitHub: 647 stars · 30 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 Alpha-VLLM/Lumina-mGPT, 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
    Emphasize text-to-image generation and research context in README's opening

    Why:

    CURRENT
    A family of multimodal autoregressive models capable of various vision and language tasks, particularly excelling in generating flexible photorealistic images from text descriptions.
    COPY-PASTE FIX
    Lumina-mGPT is an official implementation of a state-of-the-art multimodal autoregressive model, specifically designed for flexible and photorealistic text-to-image generation. This research project also explores various vision and language tasks.
  • mediumreadme#2
    Ensure demo links are functional and prominent in the README

    Why:

    COPY-PASTE FIX
    Review the 'Demo Lumina-mGPT' links in the README to ensure they are correctly formatted and point to working demonstrations of the model's capabilities.

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 Alpha-VLLM/Lumina-mGPT
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Midjourney
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Midjourney · recommended 1×
  2. Stable Diffusion · recommended 1×
  3. DreamBooth · recommended 1×
  4. LoRA · recommended 1×
  5. DALL-E 3 · recommended 1×
  • CATEGORY QUERY
    What tools can generate photorealistic images from text descriptions with high flexibility?
    you: not recommended
    AI recommended (in order):
    1. Midjourney
    2. Stable Diffusion
    3. DreamBooth
    4. LoRA
    5. DALL-E 3
    6. ChatGPT Plus
    7. Copilot Pro
    8. Adobe Firefly
    9. Leonardo.Ai
    10. Playground AI

    AI recommended 10 alternatives but never named Alpha-VLLM/Lumina-mGPT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which autoregressive models are best for flexible photorealistic image generation from text?
    you: not recommended
    AI recommended (in order):
    1. DALL-E 2
    2. Parti
    3. Imagen
    4. VQ-GAN + Transformers
    5. CogView2

    AI recommended 5 alternatives but never named Alpha-VLLM/Lumina-mGPT. 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 Alpha-VLLM/Lumina-mGPT?
    pass
    AI named Alpha-VLLM/Lumina-mGPT explicitly

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

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

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

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Alpha-VLLM/Lumina-mGPT — 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