RRepoGEO

REPOGEO REPORT · LITE

DearVa/Everywhere

Default branch main · commit 98770624 · scanned 6/17/2026, 7:37:04 PM

GitHub: 6,066 stars · 373 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 DearVa/Everywhere, 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 and add a clear introductory paragraph

    Why:

    CURRENT
    <h1>Every moment, Every place. Your AI - <code>Everywhere</code></h1>
    COPY-PASTE FIX
    <h1>Everywhere: Your On-Screen Aware AI Assistant for Desktop</h1>
    <p>Everywhere is an on-screen aware AI assistant for your desktop. It uses current app context, multiple LLMs, and MCP tools to help you act across applications.</p>
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
    Everywhere is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to the file for complete details.
  • mediumreadme#3
    Prioritize core value proposition over badges and links in the README's opening

    Why:

    CURRENT
    The current structure places badges and navigation links directly after the H1.
    COPY-PASTE FIX
    Reorder the README's initial section to place the core introductory paragraph (as suggested in Action 1) immediately after the H1, before any badges, external links, or navigation.

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 DearVa/Everywhere
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Raycast AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Raycast AI · recommended 2×
  2. Superhuman · recommended 2×
  3. Copilot · recommended 1×
  4. Custom GPTs · recommended 1×
  5. Taskade AI · recommended 1×
  • CATEGORY QUERY
    How can I get an AI assistant to understand my desktop context and help across applications?
    you: not recommended
    AI recommended (in order):
    1. Copilot
    2. Raycast AI
    3. Superhuman
    4. Custom GPTs
    5. Taskade AI
    6. Bard
    7. AutoGPT (Significant-Gravitas/AutoGPT)
    8. BabyAGI (yoheinakajima/babyagi)

    AI recommended 8 alternatives but never named DearVa/Everywhere. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a personal AI agent that integrates multiple LLMs for desktop productivity.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Raycast AI
    3. Superhuman
    4. Mem.ai
    5. Notion AI
    6. Obsidian

    AI recommended 6 alternatives but never named DearVa/Everywhere. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 DearVa/Everywhere?
    pass
    AI named DearVa/Everywhere explicitly

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

  • If a team adopts DearVa/Everywhere in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DearVa/Everywhere 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 DearVa/Everywhere solve, and who is the primary audience?
    pass
    AI named DearVa/Everywhere 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 DearVa/Everywhere. 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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MARKDOWN (README)
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HTML
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DearVa/Everywhere — 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
DearVa/Everywhere — RepoGEO report