RRepoGEO

REPOGEO REPORT · LITE

dominikmartn/hue

Default branch main · commit 0c291474 · scanned 6/4/2026, 5:37:44 PM

GitHub: 671 stars · 53 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 dominikmartn/hue, 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
    Clarify the README H1 to prevent miscategorization

    Why:

    CURRENT
    # hue
    COPY-PASTE FIX
    # hue — AI Design System Skill
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Choose an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) and add its text to the file.
  • mediumreadme#3
    Add a direct disambiguation sentence to the README introduction

    Why:

    CURRENT
    an open-source skill that learns any brand from a url, name, or screenshot and turns it into a complete design system. works on claude code and codex. install it once, and every component your ai assistant builds after that matches your brand.
    COPY-PASTE FIX
    An open-source skill that learns any brand from a URL, name, or screenshot and turns it into a complete design system. Works on Claude Code and Codex. Install it once, and every component your AI assistant builds after that matches your brand. **Note: This project is not related to Philips Hue smart lighting.**

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 dominikmartn/hue
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Figma
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Figma · recommended 2×
  2. Supernova · recommended 2×
  3. Specify · recommended 2×
  4. Adobe XD · recommended 2×
  5. Locofy.ai · recommended 2×
  • CATEGORY QUERY
    How can I ensure AI-generated UI components consistently match my brand's design language?
    you: not recommended
    AI recommended (in order):
    1. Figma
    2. Supernova
    3. Specify
    4. Storybook (storybookjs/storybook)
    5. Storybook Design Token Addon
    6. Adobe XD
    7. Sketch
    8. Abstract
    9. InVision DSM
    10. Locofy.ai
    11. Anima App
    12. TensorFlow.js (tensorflow/tfjs)
    13. PyTorch (pytorch/pytorch)

    AI recommended 13 alternatives but never named dominikmartn/hue. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI assistants generate full design systems from brand inputs?
    you: not recommended
    AI recommended (in order):
    1. Figma
    2. Adobe XD
    3. Relume
    4. Frontify
    5. Storybook
    6. GPT-4
    7. Claude 3
    8. Midjourney
    9. DALL-E 3
    10. Supernova
    11. Specify
    12. Locofy.ai
    13. AnimaApp

    AI recommended 13 alternatives but never named dominikmartn/hue. 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 dominikmartn/hue?
    pass
    AI named dominikmartn/hue explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of dominikmartn/hue. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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dominikmartn/hue — 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
dominikmartn/hue — RepoGEO report