RRepoGEO

REPOGEO REPORT · LITE

minsight-ai-info/AI-Search-Hub

Default branch main · commit afcc7411 · scanned 5/10/2026, 8:37:38 AM

GitHub: 1,080 stars · 91 forks

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 minsight-ai-info/AI-Search-Hub, 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 core definition of AI Search Hub to the top of the README

    Why:

    CURRENT
    The core definition of AI Search Hub as an 'open-source Skill' appears in the second main paragraph, after an introduction to a commercial product and several empty lines.
    COPY-PASTE FIX
    Move the following sentence to immediately after the `### 一次提问，全域搜索。` line:
`AI Search Hub 是一个开源 Skill，用来把分散在不同 AI 平台里的搜索能力、网页抽取能力，以及它们背后各自公司的原生数据世界，整理成一个可复用的搜索与抽取中枢。`
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the project's intended usage.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://www.notyet.chat/` in the repository settings.

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 minsight-ai-info/AI-Search-Hub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. OpenAI Functions/Tools · recommended 1×
  • CATEGORY QUERY
    How to get comprehensive search results and data extraction from multiple AI models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Functions/Tools
    6. PromptLayer
    7. Weights & Biases

    AI recommended 7 alternatives but never named minsight-ai-info/AI-Search-Hub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to unify social media data collection for my custom AI agents.
    you: not recommended
    AI recommended (in order):
    1. Brandwatch
    2. Talkwalker
    3. Meltwater
    4. Agorapulse
    5. Sprinklr
    6. Hootsuite Insights
    7. Tweepy (tweepy/tweepy)
    8. Facebook Graph API
    9. Instagram Graph API
    10. LinkedIn API

    AI recommended 10 alternatives but never named minsight-ai-info/AI-Search-Hub. 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 minsight-ai-info/AI-Search-Hub?
    pass
    AI did not name minsight-ai-info/AI-Search-Hub — 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 minsight-ai-info/AI-Search-Hub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named minsight-ai-info/AI-Search-Hub 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 minsight-ai-info/AI-Search-Hub solve, and who is the primary audience?
    pass
    AI named minsight-ai-info/AI-Search-Hub explicitly

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

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