RRepoGEO

REPOGEO REPORT · LITE

OvidijusParsiunas/deep-chat

Default branch main · commit 05819150 · scanned 5/29/2026, 11:21:50 AM

GitHub: 3,619 stars · 442 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 OvidijusParsiunas/deep-chat, 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 Deep Chat's role as a frontend UI component in the README's opening

    Why:

    CURRENT
    Deep Chat is a fully customizable AI chat component that can be injected into your website with just _one line of code_.
    COPY-PASTE FIX
    Deep Chat is a **framework-agnostic frontend UI component** designed for **web developers** to easily integrate a fully customizable AI chat interface into **any web application** with just _one line of code_.
  • mediumtopics#2
    Add more specific frontend and UI component topics

    Why:

    CURRENT
    ai, ai-chatbot, chat, chatbot, chatgpt, claude, component, deepseek, gemini, huggingface, next, nextjs, ollama, openai, react, react-chatbot, realtime, solid, svelte, vue
    COPY-PASTE FIX
    ai, ai-chatbot, chat, chatbot, chatgpt, claude, component, deepseek, frontend, gemini, huggingface, javascript-component, next, nextjs, ollama, openai, react, react-chatbot, realtime, solid, svelte, ui-component, vue, web-component
  • mediumreadme#3
    Add a 'Comparison to Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ### :balance_scale: Comparison to Alternatives
    
    Unlike full-stack chatbot frameworks (e.g., Botpress, Rasa) or data app builders (e.g., Gradio, Streamlit), Deep Chat focuses purely on providing a highly customizable, framework-agnostic **frontend UI component**. This allows developers to maintain full control over their backend logic and data, while seamlessly integrating a rich, interactive AI chat experience directly into their existing web applications.

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 OvidijusParsiunas/deep-chat
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
gradio-app/gradio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. gradio-app/gradio · recommended 1×
  2. streamlit/streamlit · recommended 1×
  3. mckaywrigley/chatbot-ui · recommended 1×
  4. botpress/botpress · recommended 1×
  5. RasaHQ/rasa · recommended 1×
  • CATEGORY QUERY
    How to easily integrate a customizable AI chat interface into a web application?
    you: not recommended
    AI recommended (in order):
    1. Gradio (gradio-app/gradio)
    2. Streamlit (streamlit/streamlit)
    3. Chatbot UI (mckaywrigley/chatbot-ui)
    4. Botpress (botpress/botpress)
    5. Rasa (RasaHQ/rasa)
    6. Tawk.to
    7. Intercom

    AI recommended 7 alternatives but never named OvidijusParsiunas/deep-chat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a flexible chatbot component supporting multiple AI APIs and rich media interactions for React.
    you: not recommended
    AI recommended (in order):
    1. Botpress
    2. React Chatbot Kit
    3. Chatwoot
    4. Rasa Webchat
    5. React-Live-Chat-Loader

    AI recommended 5 alternatives but never named OvidijusParsiunas/deep-chat. 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 OvidijusParsiunas/deep-chat?
    pass
    AI did not name OvidijusParsiunas/deep-chat — 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 OvidijusParsiunas/deep-chat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named OvidijusParsiunas/deep-chat 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 OvidijusParsiunas/deep-chat solve, and who is the primary audience?
    pass
    AI did not name OvidijusParsiunas/deep-chat — 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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OvidijusParsiunas/deep-chat — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite