RRepoGEO

REPOGEO REPORT · LITE

Turing-Project/AntiFraudChatBot

Default branch main · commit a912198e · scanned 5/16/2026, 12:23:21 AM

GitHub: 2,230 stars · 421 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 Turing-Project/AntiFraudChatBot, 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's opening sentence to highlight anti-fraud and WeChat focus

    Why:

    CURRENT
    A simple prompt-chatting AI based on wechaty and fintuned NLP model
    COPY-PASTE FIX
    An AI-powered anti-fraud chatbot framework for WeChat, leveraging large-scale Chinese pre-trained models and semantic detection.
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    anti-fraud, chatbot, wechat, nlp, chinese-language, llm, conversational-ai, fraud-detection, yuan-1-0
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/Turing-Project/AntiFraudChatBot

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 Turing-Project/AntiFraudChatBot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure Cognitive Services
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure Cognitive Services · recommended 2×
  2. RasaHQ/rasa · recommended 1×
  3. deepmipt/DeepPavlov · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. pallets/flask · recommended 1×
  • CATEGORY QUERY
    How to build an AI chatbot for WeChat with custom NLP models?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. DeepPavlov (deepmipt/DeepPavlov)
    3. Hugging Face Transformers (huggingface/transformers)
    4. Flask (pallets/flask)
    5. Django (django/django)
    6. OpenNMT (OpenNMT/OpenNMT-py)
    7. Fairseq (facebookresearch/fairseq)
    8. Microsoft Bot Framework (microsoft/botframework-sdk)
    9. Azure Cognitive Services
    10. Azure Custom Neural Voice
    11. Azure Machine Learning
    12. wechatpy (wechatpy/wechatpy)
    13. wechat-api (node-webot/wechat-api)

    AI recommended 13 alternatives but never named Turing-Project/AntiFraudChatBot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    I need a conversational AI framework for Chinese anti-fraud detection.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Jieba
    3. HanLP
    4. Microsoft Bot Framework
    5. Azure Cognitive Services
    6. Language Understanding (LUIS)
    7. Text Analytics
    8. Google Dialogflow ES/CX
    9. Baidu Unit (百度UNIT)
    10. Tencent Cloud Intelligent Speech (腾讯云智能语音)
    11. Tencent Cloud Natural Language Processing (腾讯云自然语言处理)
    12. OpenAI GPT-3.5/GPT-4

    AI recommended 12 alternatives but never named Turing-Project/AntiFraudChatBot. 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 Turing-Project/AntiFraudChatBot?
    pass
    AI did not name Turing-Project/AntiFraudChatBot — 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 Turing-Project/AntiFraudChatBot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Turing-Project/AntiFraudChatBot 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 Turing-Project/AntiFraudChatBot solve, and who is the primary audience?
    pass
    AI named Turing-Project/AntiFraudChatBot 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 Turing-Project/AntiFraudChatBot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
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