RRepoGEO

REPOGEO REPORT · LITE

xxxily/hello-ai

Default branch main · commit fdcdab48 · scanned 5/29/2026, 12:58:09 PM

GitHub: 1,351 stars · 125 forks

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 xxxily/hello-ai, 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
  • highabout#1
    Update the repository description to clearly state its function

    Why:

    CURRENT
    It's not AI that takes away your job, but the people who master the use of AI tools. The most deadly attack is a dimension-reducing strike: destroying you has nothing to do with you - from "The Three-Body Problem".         中文说明： 抢走你工作的不是AI，而是掌握使用AI工具的人。 降维打击最为致命：毁灭你，与你何干《三体》
    COPY-PASTE FIX
    An intelligent, AI-driven navigation hub and auto-updating directory for high-quality open-source AI projects, tools, and resources.
  • hightopics#2
    Add specific topics related to resource curation and directories

    Why:

    CURRENT
    agi, ai, aigc, chatgpt, claude-3, gemini, gpt-4, hello-ai, openai, stable-diffusion
    COPY-PASTE FIX
    agi, ai, aigc, chatgpt, claude-3, gemini, gpt-4, hello-ai, openai, stable-diffusion, awesome-list, ai-resources, curated-list, project-directory, ai-tools, open-source-ai
  • mediumreadme#3
    Clarify project status and intended use in the README

    Why:

    COPY-PASTE FIX
    While Hello-AI is an intelligent, AI-driven navigation hub, it is currently maintained as a personal learning and exploration project. Users should be aware that it may not be a complete and mature production-ready solution, but rather a dynamic and evolving resource for discovering AI projects.

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 xxxily/hello-ai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Hugging Face Hub · recommended 2×
  3. Awesome-AI · recommended 1×
  4. GitHub Explore / Trending Repositories · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of open-source AI development tools and projects?
    you: not recommended
    AI recommended (in order):
    1. Awesome-AI
    2. Papers With Code
    3. Hugging Face Hub
    4. GitHub Explore / Trending Repositories
    5. Kaggle
    6. ML-Ops.org

    AI recommended 6 alternatives but never named xxxily/hello-ai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to discover high-quality open-source AI projects across different categories, like agents or RAG?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Hub
    2. LangChain
    3. AutoGen
    4. GitHub Explore
    5. Trending Repositories
    6. Papers With Code
    7. Awesome Lists
    8. arXiv
    9. Twitter
    10. LinkedIn

    AI recommended 10 alternatives but never named xxxily/hello-ai. 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 xxxily/hello-ai?
    pass
    AI named xxxily/hello-ai explicitly

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

  • If a team adopts xxxily/hello-ai in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name xxxily/hello-ai — 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?

  • In one sentence, what problem does the repo xxxily/hello-ai solve, and who is the primary audience?
    pass
    AI named xxxily/hello-ai 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 xxxily/hello-ai. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/xxxily/hello-ai.svg)](https://repogeo.com/en/r/xxxily/hello-ai)
HTML
<a href="https://repogeo.com/en/r/xxxily/hello-ai"><img src="https://repogeo.com/badge/xxxily/hello-ai.svg" alt="RepoGEO" /></a>
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xxxily/hello-ai — 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