RRepoGEO

REPOGEO REPORT · LITE

Ucas-HaoranWei/Vary

Default branch main · commit 9d06a142 · scanned 6/22/2026, 8:13:15 PM

GitHub: 1,889 stars · 145 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 Ucas-HaoranWei/Vary, 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
  • highlicense#1
    Add a LICENSE file or clarify license in README

    Why:

    COPY-PASTE FIX
    Please add a `LICENSE` file to the repository root. If a custom license applies, state it clearly in the README, e.g., 'This project is licensed under [License Name] - see the LICENSE file for details.'
  • mediumreadme#2
    Add a concise positioning statement to the README's opening

    Why:

    COPY-PASTE FIX
    Vary is the official ECCV 2024 code for scaling up the vision vocabulary of Large Vision Language Models (LVLMs), specifically designed for advanced visual comprehension and multi-page document understanding.

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 Ucas-HaoranWei/Vary
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI's GPT-4V (Vision)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI's GPT-4V (Vision) · recommended 1×
  2. Google's Gemini (Pro Vision / Ultra) · recommended 1×
  3. BLIP-2 · recommended 1×
  4. LLaVA · recommended 1×
  5. CLIP · recommended 1×
  • CATEGORY QUERY
    How can I expand the visual comprehension abilities of large language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4V (Vision)
    2. Google's Gemini (Pro Vision / Ultra)
    3. BLIP-2
    4. LLaVA
    5. CLIP
    6. InstructBLIP
    7. Fuyu-8B

    AI recommended 7 alternatives but never named Ucas-HaoranWei/Vary. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are effective approaches for multi-page document understanding with vision models?
    you: not recommended
    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 Ucas-HaoranWei/Vary?
    pass
    AI named Ucas-HaoranWei/Vary explicitly

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

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

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

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Ucas-HaoranWei/Vary — 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