RRepoGEO

REPOGEO REPORT · LITE

dtsola/xiaoyaosearch

Default branch main · commit 612c6d1d · scanned 6/17/2026, 12:17:17 PM

GitHub: 1,035 stars · 64 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
33 /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
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 dtsola/xiaoyaosearch, 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 clarify AI-powered semantic search vs. generic file search

    Why:

    CURRENT
    小遥搜索是一款专为知识工作者、内容创作者和技术开发者设计的跨平台本地桌面应用（Windows/MacOS/Linux）。通过集成的AI模型，支持语音输入（30秒内）、文本输入、图片输入等多种方式，将用户的查询转换为语义进行智能搜索，实现对本地文件的深度检索。
    COPY-PASTE FIX
    小遥搜索 (XiaoyaoSearch) 是一款**AI驱动的跨平台本地桌面应用** (Windows/MacOS/Linux)，专为知识工作者、内容创作者和技术开发者设计。**与传统文件搜索工具不同**，它通过集成AI模型，支持语音、文本、图片等**多模态输入**，将用户查询转化为**语义搜索**，实现对本地文件的深度检索，让搜索像聊天一样简单。
  • mediumtopics#2
    Add topics to emphasize local, desktop, and offline AI capabilities

    Why:

    CURRENT
    agent-skills, ai-search, document-search, file-search, local-search, mcp, multimodal-ai, natural-language, productivity, semantic-search
    COPY-PASTE FIX
    agent-skills, ai-search, desktop-application, document-search, file-search, local-ai, local-search, mcp, multimodal-ai, natural-language, offline-search, productivity, semantic-search
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., '## 🆚 对比同类产品 (Comparison with Alternatives)' that outlines how XiaoyaoSearch differs from traditional file search (like Windows Search, PowerToys) by being AI-powered and multimodal, and how it differs from AI frameworks (like LlamaIndex, Haystack) by being a ready-to-use local desktop application.

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 dtsola/xiaoyaosearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/PowerToys
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/PowerToys · recommended 2×
  2. Windows Search · recommended 1×
  3. Windows Voice Access · recommended 1×
  4. Cortana · recommended 1×
  5. Everything (by voidtools) · recommended 1×
  • CATEGORY QUERY
    How can I efficiently find local files using natural language, voice, or image input?
    you: not recommended
    AI recommended (in order):
    1. Windows Search
    2. Windows Voice Access
    3. Cortana
    4. PowerToys Run (microsoft/PowerToys)
    5. Microsoft PowerToys (microsoft/PowerToys)
    6. Everything (by voidtools)
    7. Alfred (macOS)
    8. Raycast (macOS)
    9. DocFetcher (Cross-platform)
    10. Agent Ransack (Windows)
    11. OpenAI Whisper (openai/whisper)
    12. Google Cloud Speech-to-Text
    13. OpenAI GPT-4
    14. Google Gemini
    15. Google Cloud Vision AI
    16. OpenAI CLIP (openai/CLIP)
    17. Stable Diffusion (Stability-AI/StableDiffusion)

    AI recommended 17 alternatives but never named dtsola/xiaoyaosearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI-powered tools provide semantic search across local documents, videos, and audio files?
    you: not recommended
    AI recommended (in order):
    1. MemGPT
    2. LlamaIndex
    3. Haystack
    4. Weaviate
    5. OpenSearch
    6. Elasticsearch
    7. DocArray

    AI recommended 7 alternatives but never named dtsola/xiaoyaosearch. 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 dtsola/xiaoyaosearch?
    pass
    AI did not name dtsola/xiaoyaosearch — 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 dtsola/xiaoyaosearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dtsola/xiaoyaosearch 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 dtsola/xiaoyaosearch solve, and who is the primary audience?
    pass
    AI named dtsola/xiaoyaosearch explicitly

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

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dtsola/xiaoyaosearch — 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