RRepoGEO

REPOGEO REPORT · LITE

datawhalechina/hello-generic-agent

Default branch main · commit b3ab8362 · scanned 6/16/2026, 5:21:56 PM

GitHub: 513 stars · 49 forks

AI VISIBILITY SCORE
35 /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
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 datawhalechina/hello-generic-agent, 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
  • hightopics#1
    Add specific topics to improve AI categorization

    Why:

    COPY-PASTE FIX
    ai-agent, llm-agent, self-evolving-agent, token-efficiency, web-automation, agent-framework, context-management, datawhale, tutorial, guide
  • highlicense#2
    Create a LICENSE file for the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the content of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license, as indicated by the link in the README.

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 datawhalechina/hello-generic-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI's GPT-3.5 Turbo · recommended 1×
  4. Llama 3 · recommended 1×
  5. Mistral · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that minimizes token consumption for complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI's GPT-3.5 Turbo
    3. LlamaIndex
    4. Llama 3
    5. Mistral
    6. Mixtral
    7. Microsoft Guidance
    8. LiteLLM
    9. OpenAI Function Calling

    AI recommended 9 alternatives but never named datawhalechina/hello-generic-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Frameworks for developing self-evolving AI agents with advanced web automation?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. LlamaIndex
    4. Playwright
    5. Selenium
    6. Puppeteer
    7. Beautiful Soup

    AI recommended 7 alternatives but never named datawhalechina/hello-generic-agent. 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 datawhalechina/hello-generic-agent?
    pass
    AI named datawhalechina/hello-generic-agent explicitly

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

  • If a team adopts datawhalechina/hello-generic-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named datawhalechina/hello-generic-agent 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 datawhalechina/hello-generic-agent solve, and who is the primary audience?
    pass
    AI named datawhalechina/hello-generic-agent explicitly

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

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datawhalechina/hello-generic-agent — 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