RRepoGEO

REPOGEO REPORT · LITE

bytedance/tarsier

Default branch main · commit 63de87a7 · scanned 6/7/2026, 2:47:43 AM

GitHub: 545 stars · 31 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 bytedance/tarsier, 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 opening sentence to the README

    Why:

    COPY-PASTE FIX
    Add the following as the very first line of the README, before any existing HTML or markdown headings: 'Tarsier is a family of large-scale video-language models designed for high-quality video description and comprehensive video understanding.'
  • mediumtopics#2
    Expand repository topics with specific keywords

    Why:

    CURRENT
    research
    COPY-PASTE FIX
    research, video-language-model, multimodal-ai, video-understanding, video-description, large-language-model, computer-vision
  • lowhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    Add 'https://huggingface.co/spaces/omni-research/Tarsier2-7b' as the repository homepage URL.

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/tarsier
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. Gemini 1.5 Pro · recommended 1×
  4. GPT-3.5 Turbo · recommended 1×
  5. Llama 3 · recommended 1×
  • CATEGORY QUERY
    What models can generate high-quality, detailed descriptions for video content?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. GPT-3.5 Turbo
    5. Llama 3
    6. Mistral Large

    AI recommended 6 alternatives but never named bytedance/tarsier. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a large language model capable of comprehensive video understanding and analysis.
    you: not recommended
    AI recommended (in order):
    1. Google Gemini
    2. OpenAI GPT-4V
    3. Meta Llama 3
    4. Microsoft Azure AI Video Indexer
    5. AWS Rekognition Video
    6. Hugging Face Transformers (huggingface/transformers)
    7. BLIP-2
    8. LLaVA (haotian-liu/LLaVA)
    9. InstructBLIP

    AI recommended 9 alternatives but never named bytedance/tarsier. 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/tarsier?
    pass
    AI named bytedance/tarsier 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/tarsier in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bytedance/tarsier 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/tarsier solve, and who is the primary audience?
    pass
    AI named bytedance/tarsier 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/tarsier — 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