RRepoGEO

REPOGEO REPORT · LITE

V-know/ChatGPT-Telegram-Bot

Default branch main · commit 970b9862 · scanned 6/5/2026, 4:12:17 PM

GitHub: 649 stars · 87 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 V-know/ChatGPT-Telegram-Bot, 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 the README's opening to clarify it's a ready-to-deploy AI assistant

    Why:

    CURRENT
    # ChatGPT Telegram Bot
    
    A Telegram bot with a silky smooth AI experience.
    COPY-PASTE FIX
    # ChatGPT Telegram Bot: A Ready-to-Deploy AI Assistant for Telegram
    
    This is a feature-rich, containerized Telegram bot that integrates OpenAI's ChatGPT, DALL·E 3, and other advanced AI capabilities for a complete, real-time AI experience. It's designed for easy deployment and offers a silky smooth AI interaction with features like image generation, customizable bot identities, and user-level management.
  • mediumtopics#2
    Expand repository topics to include specific features and application type

    Why:

    CURRENT
    chatgpt, python, telegram
    COPY-PASTE FIX
    chatgpt, python, telegram, telegram-bot, ai-assistant, dalle-3, openai, containerized, real-time, customizable, ui-enabled
  • lowreadme#3
    Enhance the 'Quick Experience' section to include a deployment hint

    Why:

    CURRENT
    ## 🤖Quick Experience
    
    Telegram Bot: RoboAceBot
    COPY-PASTE FIX
    ## 🤖Quick Experience & Deployment
    
    Experience the bot live: [RoboAceBot](https://t.me/RoboAceBot).
    
    For quick local deployment, simply clone the repo and follow the containerized setup instructions in the [Deployment section](#deployment).

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 V-know/ChatGPT-Telegram-Bot
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Docker
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Docker · recommended 2×
  2. Python-Telegram-Bot · recommended 1×
  3. GPT-4o · recommended 1×
  4. GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How to build a Telegram bot that provides real-time AI chat and image generation?
    you: not recommended
    AI recommended (in order):
    1. Python-Telegram-Bot
    2. GPT-4o
    3. GPT-4
    4. GPT-3.5 Turbo
    5. DALL-E 3
    6. DALL-E 2
    7. FastAPI
    8. Flask
    9. Ngrok
    10. Redis
    11. PostgreSQL
    12. Docker

    AI recommended 12 alternatives but never named V-know/ChatGPT-Telegram-Bot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a customizable, containerized Python solution for an AI assistant on Telegram.
    you: not recommended
    AI recommended (in order):
    1. python-telegram-bot (python-telegram-bot/python-telegram-bot)
    2. Docker
    3. Kubernetes
    4. Telethon (LonamiWebs/Telethon)
    5. Docker Compose
    6. Pyrogram (pyrogram/pyrogram)
    7. Google Cloud Run
    8. AWS Fargate
    9. aiogram (aiogram/aiogram)
    10. Heroku
    11. Flask (pallets/flask)
    12. FastAPI (tiangolo/fastapi)

    AI recommended 12 alternatives but never named V-know/ChatGPT-Telegram-Bot. 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 V-know/ChatGPT-Telegram-Bot?
    pass
    AI named V-know/ChatGPT-Telegram-Bot explicitly

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

  • If a team adopts V-know/ChatGPT-Telegram-Bot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named V-know/ChatGPT-Telegram-Bot 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 V-know/ChatGPT-Telegram-Bot solve, and who is the primary audience?
    pass
    AI did not name V-know/ChatGPT-Telegram-Bot — 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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V-know/ChatGPT-Telegram-Bot — 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
V-know/ChatGPT-Telegram-Bot — RepoGEO report