RRepoGEO

REPOGEO REPORT · LITE

ali-vilab/ACE_plus

Default branch main · commit f3e410b8 · scanned 6/23/2026, 6:18:36 PM

GitHub: 1,367 stars · 93 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 ali-vilab/ACE_plus, 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
  • highabout#1
    Add a concise description to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    A unified framework for instruction-based image creation and editing, enabling context-aware content filling and versatile image generation tasks within a single model.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    image-generation, image-editing, diffusion-models, lora, context-aware, instruction-based, computer-vision, generative-ai
  • highreadme#3
    Add a license statement to the README

    Why:

    COPY-PASTE FIX
    ## License
This project currently lacks a clear license. Please add a LICENSE file (e.g., MIT or Apache-2.0) to the repository root to define usage permissions.

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 ali-vilab/ACE_plus
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. ControlNet · recommended 2×
  3. DALL-E 3 · recommended 2×
  4. ChatGPT Plus · recommended 2×
  5. Midjourney · recommended 2×
  • CATEGORY QUERY
    Looking for a unified framework to generate and edit images with a single model.
    you: not recommended
    AI recommended (in order):
    1. Stable Diffusion
    2. ControlNet
    3. DreamBooth
    4. LoRA
    5. DALL-E 3
    6. ChatGPT Plus
    7. Midjourney
    8. Adobe Firefly
    9. Adobe Photoshop
    10. Img2Img

    AI recommended 10 alternatives but never named ali-vilab/ACE_plus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I perform instruction-based image creation and precise local editing?
    you: not recommended
    AI recommended (in order):
    1. Adobe Photoshop
    2. Midjourney
    3. Stable Diffusion
    4. Automatic1111
    5. ComfyUI
    6. ControlNet
    7. DALL-E 3
    8. ChatGPT Plus
    9. RunwayML
    10. Leonardo.Ai
    11. Fooocus

    AI recommended 11 alternatives but never named ali-vilab/ACE_plus. This is the gap to close.

    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 ali-vilab/ACE_plus?
    pass
    AI named ali-vilab/ACE_plus explicitly

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

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

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

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ali-vilab/ACE_plus — 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