RRepoGEO

REPOGEO REPORT · LITE

TypingMind/typingmind

Default branch main · commit 838eaeda · scanned 6/2/2026, 7:22:46 PM

GitHub: 917 stars · 358 forks

AI VISIBILITY SCORE
40 /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
3 / 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 TypingMind/typingmind, 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 main heading to emphasize its role as a unified AI chat client.

    Why:

    CURRENT
    <h2 align="center"><br/>Static Self-host Version</h2>
    COPY-PASTE FIX
    <h2 align="center"><br/>TypingMind: The Unified Web UI for All Your AI Models</h2>
  • mediumreadme#2
    Add a clear statement about the repository's license to the README.

    Why:

    COPY-PASTE FIX
    Add a new section or line in the README, for example: '## License
    This repository is licensed under [Specify License Name(s) and terms, e.g., a custom commercial license or specific open-source licenses if applicable]. Please refer to the `LICENSE` file for full details.'
  • lowcomparison#3
    Add a 'Comparison' section to the README to differentiate from common alternatives.

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example: '## Comparison with Alternatives
    Unlike generic UI frameworks like Gradio or Streamlit, TypingMind is a complete, ready-to-use web interface. Compared to local model runners such as Ollama or LM Studio, TypingMind focuses on providing a unified frontend for *multiple* AI services (cloud and local), offering advanced chat management and features across different models.'

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 TypingMind/typingmind
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 1×
  2. Ollama · recommended 1×
  3. text-generation-webui (oobabooga) · recommended 1×
  4. LocalAI · recommended 1×
  5. Jan · recommended 1×
  • CATEGORY QUERY
    How can I self-host a web interface for interacting with various large language models?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. text-generation-webui (oobabooga)
    4. LocalAI
    5. Jan
    6. LiteLLM

    AI recommended 6 alternatives but never named TypingMind/typingmind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a customizable web interface for local and third-party AI chat model integration.
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. Streamlit (streamlit/streamlit)
    3. Next.js (vercel/next.js)
    4. React (facebook/react)
    5. Chakra UI (chakra-ui/chakra-ui)
    6. Material UI (mui/material-ui)
    7. Vue.js (vuejs/core)
    8. Nuxt.js (nuxt/nuxt)
    9. Vuetify (vuetifyjs/vuetify)
    10. Element Plus (element-plus/element-plus)
    11. LangChain.js (langchain-ai/langchainjs)
    12. LangChain (langchain-ai/langchain)
    13. Panel (holoviz/panel)

    AI recommended 13 alternatives but never named TypingMind/typingmind. 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 TypingMind/typingmind?
    pass
    AI named TypingMind/typingmind explicitly

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

  • If a team adopts TypingMind/typingmind in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TypingMind/typingmind 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 TypingMind/typingmind solve, and who is the primary audience?
    pass
    AI named TypingMind/typingmind explicitly

    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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