RRepoGEO

REPOGEO REPORT · LITE

bytedance/Lance

Default branch main · commit 9717d916 · scanned 7/1/2026, 4:46:44 PM

GitHub: 1,254 stars · 88 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)

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

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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/Lance, 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
    Add a clear, concise positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    Lance is a state-of-the-art 3B-active-parameter native unified multimodal model, specifically designed for advanced image and video understanding, generation, and editing tasks. It is a powerful AI model, not a data format or vector database.
  • mediumreadme#2
    Expand the README's introductory section to highlight its core model capabilities

    Why:

    COPY-PASTE FIX
    Lance represents a significant advancement in AI, offering a single, powerful model capable of handling diverse multimodal tasks across image and video domains. It excels in understanding, generating, and editing visual content, providing a unified solution for complex AI applications.
  • lowtopics#3
    Add 'multimodal-ai' and 'foundation-model' to topics

    Why:

    CURRENT
    image-editing, image-generation, image-understanding, unified-multimodal-models, video-generation, video-understanding
    COPY-PASTE FIX
    image-editing, image-generation, image-understanding, unified-multimodal-models, video-generation, video-understanding, multimodal-ai, foundation-model

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/Lance
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Diffusion
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Diffusion · recommended 2×
  2. Google Gemini · recommended 1×
  3. OpenAI GPT-4o · recommended 1×
  4. Meta Llama 3 · recommended 1×
  5. Google Imagen · recommended 1×
  • CATEGORY QUERY
    What are the best unified multimodal models for image and video generation and understanding?
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4o
    3. Meta Llama 3
    4. Google Imagen
    5. Lumiere
    6. Stable Diffusion
    7. ControlNet
    8. AnimateDiff
    9. DALL-E 3

    AI recommended 9 alternatives but never named bytedance/Lance. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I efficiently perform advanced image and video editing using a single AI model?
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. Adobe Firefly
    3. Midjourney
    4. RunwayML
    5. Krita
    6. GIMP
    7. Pika Labs

    AI recommended 7 alternatives but never named bytedance/Lance. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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/Lance?
    pass
    AI named bytedance/Lance 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/Lance in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bytedance/Lance 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/Lance solve, and who is the primary audience?
    pass
    AI named bytedance/Lance 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/Lance — 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