RRepoGEO

REPOGEO REPORT · LITE

Dammyjay93/interface-design

Default branch main · commit 2f9be320 · scanned 6/24/2026, 1:52:05 AM

GitHub: 5,113 stars · 349 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
28 /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
2 / 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 Dammyjay93/interface-design, 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 README opening to explicitly state purpose for AI coding assistants

    Why:

    CURRENT
    Build interfaces with intention. Remember decisions across sessions. Maintain systematic consistency. For interface design — dashboards, apps, tools, admin panels. Not for marketing sites.
    COPY-PASTE FIX
    Build interfaces with intention for AI coding assistants. Remember design decisions across sessions. Maintain systematic consistency for UI generated by tools like Claude Code. This is for interface design — dashboards, apps, tools, admin panels — not for marketing sites.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-coding-assistant, ui-consistency, design-system, generative-ui, claude-code, interface-design, design-engineering
  • mediumreadme#3
    Clarify 'What This Does' section to emphasize AI coding agent context

    Why:

    CURRENT
    When you build UI with a coding agent, design decisions get made: spacing values, colors, depth strategy, surface elevation. Without structure, those decisions drift across sessions.
    COPY-PASTE FIX
    When you build UI *using an AI coding agent*, design decisions get made: spacing values, colors, depth strategy, surface elevation. Without `interface-design`'s structure, those decisions drift across sessions, leading to inconsistent UI.

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 Dammyjay93/interface-design
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. Sketch · recommended 2×
  3. Adobe XD · recommended 2×
  4. storybookjs/storybook · recommended 1×
  5. tailwindlabs/tailwindcss · recommended 1×
  • CATEGORY QUERY
    How to maintain consistent UI design decisions when building interfaces with an AI coding assistant?
    you: not recommended
    AI recommended (in order):
    1. Storybook (storybookjs/storybook)
    2. Figma
    3. Sketch
    4. Adobe XD
    5. Tailwind CSS (tailwindlabs/tailwindcss)
    6. Material-UI (MUI) (mui/material-ui)
    7. Ant Design (ant-design/ant-design)
    8. Chakra UI (chakra-ui/chakra-ui)
    9. Styled Components (styled-components/styled-components)
    10. Emotion (emotion-js/emotion)
    11. ESLint (eslint/eslint)

    AI recommended 11 alternatives but never named Dammyjay93/interface-design. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help enforce systematic UI consistency for internal dashboards and admin panels?
    you: not recommended
    AI recommended (in order):
    1. Storybook
    2. Chromatic
    3. Figma
    4. Sketch
    5. Adobe XD
    6. Anima
    7. Supernova
    8. Styled Components
    9. Emotion
    10. Tailwind CSS
    11. ESLint
    12. React Testing Library
    13. Jest
    14. Cypress
    15. MUI
    16. Material-UI
    17. Ant Design
    18. Chakra UI

    AI recommended 18 alternatives but never named Dammyjay93/interface-design. 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 Dammyjay93/interface-design?
    pass
    AI named Dammyjay93/interface-design explicitly

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

  • If a team adopts Dammyjay93/interface-design in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Dammyjay93/interface-design 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 Dammyjay93/interface-design solve, and who is the primary audience?
    pass
    AI did not name Dammyjay93/interface-design — 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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Dammyjay93/interface-design — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite