RRepoGEO

REPOGEO REPORT · LITE

ThinkInAIXYZ/deepchat

Default branch dev · commit 3ec3eaa1 · scanned 5/28/2026, 8:42:08 AM

GitHub: 5,848 stars · 668 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 ThinkInAIXYZ/deepchat, 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 README intro to highlight platform vs. framework

    Why:

    CURRENT
    DeepChat is a feature-rich open-source AI agent platform that unifies models, tools, and agents: multi-LLM chat, MCP tool calling, Skills, ACP agent integration, and remote control.
    COPY-PASTE FIX
    DeepChat is a powerful, open-source AI agent platform that serves as a complete, ready-to-deploy application for sophisticated AI assistants. It unifies models, tools, and agents, offering multi-LLM chat, MCP tool calling, Skills, ACP agent integration, and remote control, providing a full solution beyond just a development framework.
  • mediumcomparison#2
    Add a "DeepChat vs. AI Frameworks" comparison section

    Why:

    COPY-PASTE FIX
    Add a new section titled "DeepChat vs. AI Frameworks (e.g., LangChain, LlamaIndex)" to the README, explaining that DeepChat is a complete application/platform for deploying AI agents, while frameworks provide libraries for building them from scratch, highlighting DeepChat's out-of-the-box capabilities for multi-LLM, tool calling, and agent integration.
  • lowtopics#3
    Add broader AI application and platform topics

    Why:

    CURRENT
    agent, agent-skills, ai, ai-assistant, ai-sdk, chatgpt, claude, cross-platform, deepseek, electron, gemini, harness-design, hermes-agent, llm-client, mcp, mcp-client, openai-client, openclaw
    COPY-PASTE FIX
    agent, agent-skills, ai, ai-assistant, ai-sdk, ai-platform, ai-application, chatgpt, claude, cross-platform, deepseek, electron, gemini, harness-design, hermes-agent, llm-client, mcp, mcp-client, openai-client, openclaw

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 ThinkInAIXYZ/deepchat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 1×
  3. deepset/Haystack · recommended 1×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What open-source platforms are available for developing AI agents that support multiple LLMs and tool calling?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack (deepset/Haystack)
    4. AutoGen
    5. CrewAI
    6. AgentVerse

    AI recommended 6 alternatives but never named ThinkInAIXYZ/deepchat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a cross-platform framework for building AI assistants with custom skills and agent integration.
    you: not recommended
    AI recommended (in order):
    1. Rasa
    2. Microsoft Bot Framework
    3. Google Dialogflow CX
    4. OpenAI Assistants API
    5. LangChain
    6. Botpress

    AI recommended 6 alternatives but never named ThinkInAIXYZ/deepchat. 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 ThinkInAIXYZ/deepchat?
    pass
    AI named ThinkInAIXYZ/deepchat explicitly

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

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

    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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  • Brand-free category queries5 vs 2 in Lite
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