RRepoGEO

REPOGEO REPORT · LITE

ali-vilab/In-Context-LoRA

Default branch main · commit 966e00a8 · scanned 5/25/2026, 9:32:47 AM

GitHub: 2,076 stars · 95 forks

AI VISIBILITY SCORE
17 /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
1 / 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/In-Context-LoRA, 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's opening to clearly state the core purpose

    Why:

    CURRENT
    # In-Context LoRA (IC-LoRA)

🔥 **Latest News![2024-12-17]** 🚀 We are excited to release **IDEA-Bench**...
    COPY-PASTE FIX
    Insert the following sentence directly after the H1 `# In-Context LoRA (IC-LoRA)`: `In-Context LoRA (IC-LoRA) is a flexible framework designed to efficiently adapt Diffusion Transformers for a wide range of tasks with minimal training data, enabling applications like film storyboard generation and visual identity design.`
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    diffusion-models, lora, in-context-learning, generative-ai, deep-learning, computer-vision, model-adaptation, transformers
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root containing the full text of the Apache-2.0 license.

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/In-Context-LoRA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DreamBooth
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DreamBooth · recommended 1×
  2. LoRA · recommended 1×
  3. Textual Inversion · recommended 1×
  4. ControlNet · recommended 1×
  5. Adapter · recommended 1×
  • CATEGORY QUERY
    How to efficiently adapt diffusion models for new tasks with minimal training data?
    you: not recommended
    AI recommended (in order):
    1. DreamBooth
    2. LoRA
    3. Textual Inversion
    4. ControlNet
    5. Adapter
    6. Hypernetworks
    7. Hugging Face PEFT

    AI recommended 7 alternatives but never named ali-vilab/In-Context-LoRA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for generating visual storyboards or product design concepts?
    you: not recommended
    AI recommended (in order):
    1. Figma
    2. Miro
    3. Adobe XD
    4. Sketch
    5. StoryBoardThat
    6. Canva
    7. PowerPoint
    8. Google Slides

    AI recommended 8 alternatives but never named ali-vilab/In-Context-LoRA. 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/In-Context-LoRA?
    pass
    AI did not name ali-vilab/In-Context-LoRA — likely talking about a different project

    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/In-Context-LoRA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ali-vilab/In-Context-LoRA 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/In-Context-LoRA solve, and who is the primary audience?
    pass
    AI did not name ali-vilab/In-Context-LoRA — likely talking about a different project

    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/In-Context-LoRA — 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