RRepoGEO

REPOGEO REPORT · LITE

YonkoSam/whatsapp-python-chatbot

Default branch main · commit 8a1ae468 · scanned 6/7/2026, 8:12:30 PM

GitHub: 729 stars · 218 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 YonkoSam/whatsapp-python-chatbot, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    whatsapp-chatbot, python, gemini-ai, wasenderapi, ai-chatbot, low-cost, no-api-fees, flask
  • highreadme#2
    Reposition README opening to clarify WaSenderAPI and differentiate from Selenium

    Why:

    CURRENT
    Affordable WhatsApp AI Chatbot Built in Python: Just $6/month

Create a powerful WhatsApp chatbot powered by Google's Gemini AI for just $6/month (WaSenderAPI subscription) plus Google's free Gemini API tier (1500 requests/month). This Python-based solution uses Flask to handle incoming messages via WaSenderAPI webhooks and leverages Gemini's advanced AI capabilities to generate intelligent, conversational responses.
    COPY-PASTE FIX
    Affordable WhatsApp AI Chatbot Built in Python: Just $6/month (via WaSenderAPI)

Create a powerful WhatsApp chatbot powered by Google's Gemini AI for just $6/month (WaSenderAPI subscription) plus Google's free Gemini API tier (1500 requests/month). This Python-based solution uses Flask to handle incoming messages via WaSenderAPI webhooks, **explicitly avoiding WhatsApp Business API fees or Selenium-based WhatsApp Web automation**, and leverages Gemini's advanced AI capabilities to generate intelligent, conversational responses.
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) to the repository root.

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 YonkoSam/whatsapp-python-chatbot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Twilio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Twilio · recommended 1×
  2. pedroslopez/whatsapp-web.js · recommended 1×
  3. adiwajshing/Baileys · recommended 1×
  4. OpenAI's GPT-3.5 Turbo · recommended 1×
  5. Google's Gemini Pro · recommended 1×
  • CATEGORY QUERY
    How to build an affordable AI chatbot for WhatsApp without official API fees?
    you: not recommended
    AI recommended (in order):
    1. Twilio
    2. whatsapp-web.js (pedroslopez/whatsapp-web.js)
    3. Baileys (adiwajshing/Baileys)
    4. OpenAI's GPT-3.5 Turbo
    5. Google's Gemini Pro
    6. MessageBird
    7. Chatfuel
    8. ManyChat
    9. Pipedream
    10. Make
    11. Zapier
    12. Render
    13. Heroku
    14. AWS EC2

    AI recommended 14 alternatives but never named YonkoSam/whatsapp-python-chatbot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for creating an intelligent conversational agent on messaging platforms?
    you: not recommended
    AI recommended (in order):
    1. Rasa (RasaHQ/rasa)
    2. Haystack (deepset-ai/haystack)
    3. LangChain (langchain-ai/langchain)
    4. DeepPavlov (deepmipt/DeepPavlov)
    5. Botpress (botpress/botpress)
    6. OpenAI API

    AI recommended 6 alternatives but never named YonkoSam/whatsapp-python-chatbot. 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 YonkoSam/whatsapp-python-chatbot?
    pass
    AI did not name YonkoSam/whatsapp-python-chatbot — 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 YonkoSam/whatsapp-python-chatbot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named YonkoSam/whatsapp-python-chatbot 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 YonkoSam/whatsapp-python-chatbot solve, and who is the primary audience?
    pass
    AI did not name YonkoSam/whatsapp-python-chatbot — 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?

Embed your GEO score

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YonkoSam/whatsapp-python-chatbot — 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