RRepoGEO

REPOGEO REPORT · LITE

cv-cat/XianYuApis

Default branch master · commit b4242e29 · scanned 5/30/2026, 9:23:34 PM

GitHub: 608 stars · 186 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 cv-cat/XianYuApis, 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
  • hightopics#1
    Add specific topics for better categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["xianyu", "api-client", "reverse-engineering", "ai-agent", "chatbot", "e-commerce", "automation", "python", "nodejs"]
  • highlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root.
  • highreadme#3
    Reposition the README's opening paragraph for clearer identity

    Why:

    CURRENT
    > **在 AI 大模型爆发的时代,每一个闲鱼卖家都值得拥有一个 7×24 小时不下线的智能客服。** 本项目封装了闲鱼平台完整的消息通信能力,为开发者构建 AI 客服智能体提供可靠、稳定的底层 API 支撑。
    COPY-PASTE FIX
    > **XianYuApis is the definitive unofficial API client for the XianYu (闲鱼) platform, providing a stable, reverse-engineered foundation for building AI customer service agents and automation tools.**

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 cv-cat/XianYuApis
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scrapy/scrapy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scrapy/scrapy · recommended 1×
  2. crummy/BeautifulSoup · recommended 1×
  3. psf/requests · recommended 1×
  4. puppeteer/puppeteer · recommended 1×
  5. RasaHQ/rasa · recommended 1×
  • CATEGORY QUERY
    How to build an AI customer service bot for a second-hand marketplace without official APIs?
    you: not recommended
    AI recommended (in order):
    1. Scrapy (scrapy/scrapy)
    2. Beautiful Soup (crummy/BeautifulSoup)
    3. Requests (psf/requests)
    4. Puppeteer (puppeteer/puppeteer)
    5. Rasa (RasaHQ/rasa)
    6. Google Dialogflow ES
    7. Microsoft Bot Framework Composer (microsoft/BotFramework-Composer)
    8. Azure Cognitive Services LUIS
    9. OpenAI GPT-3.5/GPT-4
    10. Flask (pallets/flask)
    11. Django (django/django)
    12. Express.js (expressjs/express)
    13. PostgreSQL
    14. MongoDB (mongodb/mongo)
    15. Heroku
    16. AWS EC2
    17. Google Cloud Compute Engine
    18. Azure Virtual Machines

    AI recommended 18 alternatives but never named cv-cat/XianYuApis. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for real-time messaging integration and automation on an unofficial e-commerce platform?
    you: not recommended
    AI recommended (in order):
    1. Twilio
    2. SendGrid
    3. Pusher
    4. MessageBird
    5. Vonage
    6. Firebase Cloud Messaging (FCM)
    7. Zapier

    AI recommended 7 alternatives but never named cv-cat/XianYuApis. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 cv-cat/XianYuApis?
    pass
    AI did not name cv-cat/XianYuApis — 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 cv-cat/XianYuApis in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cv-cat/XianYuApis 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 cv-cat/XianYuApis solve, and who is the primary audience?
    pass
    AI did not name cv-cat/XianYuApis — 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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cv-cat/XianYuApis — 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