RRepoGEO

REPOGEO REPORT · LITE

Xiaojiu-z/EasyControl

Default branch main · commit da44fa8e · scanned 5/17/2026, 6:42:50 PM

GitHub: 1,726 stars · 125 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
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 Xiaojiu-z/EasyControl, 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
    Reposition the README H1 to specify the domain

    Why:

    CURRENT
    # Implementation of EasyControl
    COPY-PASTE FIX
    # EasyControl: Efficient & Flexible Control for Diffusion Transformers
  • hightopics#2
    Add relevant topics for categorization

    Why:

    COPY-PASTE FIX
    diffusion-models, diffusion-transformer, dit, controlnet, generative-ai, deep-learning, computer-vision, iccv2025
  • mediumhomepage#3
    Add the project homepage to the repository About section

    Why:

    COPY-PASTE FIX
    https://easycontrolproj.github.io/

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 Xiaojiu-z/EasyControl
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ControlNet
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ControlNet · recommended 1×
  2. T2I-Adapter · recommended 1×
  3. GLIGEN · recommended 1×
  4. IP-Adapter · recommended 1×
  5. InstructPix2Pix · recommended 1×
  • CATEGORY QUERY
    How to add efficient and flexible control to diffusion transformer models?
    you: not recommended
    AI recommended (in order):
    1. ControlNet
    2. T2I-Adapter
    3. GLIGEN
    4. IP-Adapter
    5. InstructPix2Pix
    6. Composer

    AI recommended 6 alternatives but never named Xiaojiu-z/EasyControl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are solutions for improving multi-condition coordination in diffusion transformer architectures?
    you: not recommended
    AI recommended (in order):
    1. Perceiver IO
    2. Flamingo
    3. Stable Diffusion
    4. DALL-E 3

    AI recommended 4 alternatives but never named Xiaojiu-z/EasyControl. 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 Xiaojiu-z/EasyControl?
    pass
    AI named Xiaojiu-z/EasyControl explicitly

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

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

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

Embed your GEO score

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Pro

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Xiaojiu-z/EasyControl — 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
Xiaojiu-z/EasyControl — RepoGEO report