RRepoGEO

REPOGEO REPORT · LITE

RafalWilinski/telegram-chatgpt-concierge-bot

Default branch main · commit a99abd43 · scanned 6/23/2026, 4:52:52 PM

GitHub: 1,130 stars · 105 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
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 RafalWilinski/telegram-chatgpt-concierge-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
    Clarify the README's opening to emphasize it's a deployable bot

    Why:

    CURRENT
    # Telegram ChatGPT Concierge Bot (+ Voice!)

This is a Telegram bot that uses:
    COPY-PASTE FIX
    # Telegram ChatGPT Concierge Bot (+ Voice!)

This is a complete, ready-to-deploy Telegram bot that integrates OpenAI's ChatGPT with voice capabilities, designed for immediate use. It uses:
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clearly state usage terms.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    chatgpt, langchain, telegram-bot
    COPY-PASTE FIX
    telegram-bot, chatgpt, voice-bot, ai-assistant, nodejs, deployable, openai-whisper, playht

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 RafalWilinski/telegram-chatgpt-concierge-bot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Speech-to-Text
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Speech-to-Text · recommended 1×
  2. AWS Transcribe · recommended 1×
  3. AssemblyAI · recommended 1×
  4. openai/whisper · recommended 1×
  5. OpenAI GPT-4 / GPT-3.5 · recommended 1×
  • CATEGORY QUERY
    How to build a messaging bot that uses voice input and output with an AI model?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text
    2. AWS Transcribe
    3. AssemblyAI
    4. OpenAI Whisper (openai/whisper)
    5. OpenAI GPT-4 / GPT-3.5
    6. Google Dialogflow CX / ES
    7. Rasa (RasaHQ/rasa)
    8. Hugging Face Transformers (huggingface/transformers)
    9. Google Cloud Text-to-Speech
    10. AWS Polly
    11. Microsoft Azure Text-to-Speech
    12. Eleven Labs
    13. Twilio
    14. Amazon Connect
    15. Google Cloud Contact Center AI
    16. Flask (pallets/flask)
    17. FastAPI (tiangolo/fastapi)

    AI recommended 17 alternatives but never named RafalWilinski/telegram-chatgpt-concierge-bot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Node.js framework to create an AI-powered chat bot for a messaging app.
    you: not recommended
    AI recommended (in order):
    1. Botpress
    2. Microsoft Bot Framework
    3. NestJS
    4. Express.js
    5. Fastify

    AI recommended 5 alternatives but never named RafalWilinski/telegram-chatgpt-concierge-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
    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 RafalWilinski/telegram-chatgpt-concierge-bot?
    pass
    AI did not name RafalWilinski/telegram-chatgpt-concierge-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?

  • If a team adopts RafalWilinski/telegram-chatgpt-concierge-bot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RafalWilinski/telegram-chatgpt-concierge-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 RafalWilinski/telegram-chatgpt-concierge-bot solve, and who is the primary audience?
    pass
    AI did not name RafalWilinski/telegram-chatgpt-concierge-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?

Embed your GEO score

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RafalWilinski/telegram-chatgpt-concierge-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