RRepoGEO

REPOGEO REPORT · LITE

MaskerPRC/everything-ai-chat

Default branch master · commit 777b4719 · scanned 6/10/2026, 1:52:02 PM

GitHub: 731 stars · 43 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 MaskerPRC/everything-ai-chat, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Clarify the repository's 'about' description to emphasize local file search

    Why:

    CURRENT
    一个现代化的 Everything 搜索客户端，将 AI 智能与极速本地搜索完美结合。
    COPY-PASTE FIX
    一个现代化的 Windows 桌面应用，作为 Everything 搜索客户端，将 AI 智能与极速本地文件搜索完美结合。
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the MIT License text.

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 MaskerPRC/everything-ai-chat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Everything
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Everything · recommended 2×
  2. Alfred · recommended 2×
  3. Raycast · recommended 2×
  4. Copilot · recommended 1×
  5. macOS Spotlight · recommended 1×
  • CATEGORY QUERY
    What are the best tools for finding local files using AI-driven natural language queries?
    you: not recommended
    AI recommended (in order):
    1. Copilot
    2. macOS Spotlight
    3. Everything
    4. Alfred
    5. Raycast
    6. OpenAI's GPT-4
    7. Google's Gemini

    AI recommended 7 alternatives but never named MaskerPRC/everything-ai-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a modern, intelligent desktop search utility for rapid file discovery and management.
    you: not recommended
    AI recommended (in order):
    1. Everything
    2. DocFetcher
    3. Alfred
    4. PowerToys Run (microsoft/PowerToys)
    5. Raycast

    AI recommended 5 alternatives but never named MaskerPRC/everything-ai-chat. 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 MaskerPRC/everything-ai-chat?
    pass
    AI named MaskerPRC/everything-ai-chat explicitly

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

  • If a team adopts MaskerPRC/everything-ai-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MaskerPRC/everything-ai-chat 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 MaskerPRC/everything-ai-chat solve, and who is the primary audience?
    pass
    AI did not name MaskerPRC/everything-ai-chat — 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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MaskerPRC/everything-ai-chat — 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