RRepoGEO

REPOGEO REPORT · LITE

openai/openai-chatkit-advanced-samples

Default branch main · commit 9da76b62 · scanned 6/4/2026, 9:37:49 AM

GitHub: 633 stars · 295 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 openai/openai-chatkit-advanced-samples, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 and opening paragraph to clarify purpose as advanced ChatKit SDK samples for web apps

    Why:

    CURRENT
    # OpenAI ChatKit Examples

This repository collects scenario-driven ChatKit demos. Each example pairs a FastAPI backend with a Vite + React frontend, implementing a custom backend using ChatKit Python SDK and wiring it up with ChatKit.js client-side.
    COPY-PASTE FIX
    # Advanced OpenAI ChatKit SDK Samples

This repository provides advanced, scenario-driven example applications built with the OpenAI ChatKit SDK. Each demo showcases how to integrate ChatKit.js client-side with a custom FastAPI backend using the ChatKit Python SDK, enabling sophisticated conversational AI experiences in web applications.
  • lowreadme#2
    Clarify the repository's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This repository is licensed under the terms specified in the [LICENSE](LICENSE) file. Please refer to that file for full details on the applicable license(s).

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 openai/openai-chatkit-advanced-samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Anthropic Claude · recommended 1×
  3. Google Gemini · recommended 1×
  4. tiangolo/fastapi · recommended 1×
  5. langchain-ai/langchain · recommended 1×
  • CATEGORY QUERY
    How to build a custom AI chat assistant with Python backend and React frontend?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Google Gemini
    4. FastAPI (tiangolo/fastapi)
    5. LangChain (langchain-ai/langchain)
    6. Pydantic (pydantic/pydantic)
    7. SQLAlchemy (sqlalchemy/sqlalchemy)
    8. PostgreSQL
    9. SQLite
    10. Create React App (facebook/create-react-app)
    11. Vite (vitejs/vite)
    12. Axios (axios/axios)
    13. Fetch API
    14. Material-UI (MUI) (mui/material-ui)
    15. Chakra UI (chakra-ui/chakra-ui)
    16. React Router (remix-run/react-router)

    AI recommended 16 alternatives but never named openai/openai-chatkit-advanced-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for example projects to integrate advanced conversational AI into web apps.
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Google Dialogflow ES/CX
    3. Microsoft Bot Framework Composer
    4. OpenAI GPT-3/GPT-4
    5. Hugging Face Transformers
    6. Amazon Lex
    7. Cohere

    AI recommended 7 alternatives but never named openai/openai-chatkit-advanced-samples. 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 openai/openai-chatkit-advanced-samples?
    pass
    AI named openai/openai-chatkit-advanced-samples explicitly

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

  • If a team adopts openai/openai-chatkit-advanced-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-chatkit-advanced-samples 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 openai/openai-chatkit-advanced-samples solve, and who is the primary audience?
    pass
    AI did not name openai/openai-chatkit-advanced-samples — 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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