RRepoGEO

REPOGEO REPORT · LITE

cogentapps/chat-with-gpt

Default branch main · commit c75663bf · scanned 5/26/2026, 7:27:51 AM

GitHub: 2,358 stars · 479 forks

AI VISIBILITY SCORE
27 /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
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 cogentapps/chat-with-gpt, 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 project type and API usage

    Why:

    CURRENT
    Chat with GPT is an open-source, unofficial ChatGPT app with extra features and more ways to customize your experience. It connects ChatGPT with ElevenLabs to give ChatGPT a realistic human voice.
    COPY-PASTE FIX
    Chat with GPT is an open-source, unofficial **web application** that provides an enhanced interface for the **OpenAI ChatGPT API**, integrating **ElevenLabs for realistic human voice** and **Whisper for speech recognition**. It's designed for users who want a customizable, self-hostable ChatGPT experience without running local LLMs.
  • hightopics#2
    Add specific topics to reflect application nature and key integrations

    Why:

    CURRENT
    artificial-intelligence, chat, chatgpt, chatgpt-api, gpt-3, gpt-4, llm, llms, self-hosted, speech-synthesis
    COPY-PASTE FIX
    chatgpt-app, web-application, openai-api, elevenlabs, whisper-api, voice-chat, conversational-ai, self-hostable, prompt-customization, speech-to-text, text-to-speech
  • mediumreadme#3
    Clarify 'self-host' refers to the application, not the LLM

    Why:

    CURRENT
    Or [self-host with Docker](#running-on-your-own-computer).
    COPY-PASTE FIX
    Or [self-host the application with Docker](#running-on-your-own-computer) (this runs the web interface and backend, not the large language model itself).

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 cogentapps/chat-with-gpt
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Rasa Open Source
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Rasa Open Source · recommended 1×
  2. DeepPavlov · recommended 1×
  3. Open Assistant (LAION) · recommended 1×
  4. Whisper (OpenAI) · recommended 1×
  5. Mozilla DeepSpeech · recommended 1×
  • CATEGORY QUERY
    How can I self-host a conversational AI application with speech interaction capabilities?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. DeepPavlov
    3. Open Assistant (LAION)
    4. Whisper (OpenAI)
    5. Mozilla DeepSpeech
    6. Kaldi
    7. Coqui TTS
    8. Mozilla TTS
    9. MaryTTS
    10. Python
    11. Flask
    12. Django
    13. Node.js
    14. Express

    AI recommended 14 alternatives but never named cogentapps/chat-with-gpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source tools allow customizing large language model prompts and behavior?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. PromptFlow (microsoft/promptflow)
    5. OpenPrompt (thunlp/OpenPrompt)
    6. Guidance (microsoft/guidance)
    7. LiteLLM (BerriAI/litellm)

    AI recommended 7 alternatives but never named cogentapps/chat-with-gpt. 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 cogentapps/chat-with-gpt?
    pass
    AI did not name cogentapps/chat-with-gpt — 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 cogentapps/chat-with-gpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named cogentapps/chat-with-gpt 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 cogentapps/chat-with-gpt solve, and who is the primary audience?
    pass
    AI did not name cogentapps/chat-with-gpt — 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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  • Brand-free category queries5 vs 2 in Lite
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