RRepoGEO

REPOGEO REPORT · LITE

daodao97/chatmcp

Default branch main · commit 707ad370 · scanned 6/18/2026, 5:51:58 PM

GitHub: 2,196 stars · 208 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 daodao97/chatmcp, 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 project's core purpose in the README's opening

    Why:

    CURRENT
    Cross-platform `Macos | Windows | Linux | iOS | Android | Web` AI Chat Client
    COPY-PASTE FIX
    ChatMCP is an AI chat client implementing the Model Context Protocol (MCP), offering a unified cross-platform experience for Macos, Windows, Linux, iOS, Android, and Web.
  • mediumtopics#2
    Add more specific topics to improve category matching

    Why:

    CURRENT
    ai, chat, client, mcp, mcp-client
    COPY-PASTE FIX
    ai-chat-client, cross-platform, desktop-app, mobile-app, llm-client, model-context-protocol, local-data-storage, mcp
  • lowreadme#3
    Add a brief explanation of Model Context Protocol (MCP) to README

    Why:

    COPY-PASTE FIX
    The Model Context Protocol (MCP) is a key standard for managing and exchanging conversational context with AI models, enabling advanced chat functionalities within ChatMCP.

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 daodao97/chatmcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Microsoft Copilot · recommended 1×
  3. Poe · recommended 1×
  4. Perplexity AI · recommended 1×
  5. Google Gemini · recommended 1×
  • CATEGORY QUERY
    What are some good cross-platform AI chat clients for desktop and mobile?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Microsoft Copilot
    3. Poe
    4. Perplexity AI
    5. Google Gemini
    6. Forefront AI
    7. OpenAI Playground

    AI recommended 7 alternatives but never named daodao97/chatmcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI chat application that supports multiple models and local data storage.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Open WebUI
    4. Chatbot UI
    5. Jan
    6. LocalAI
    7. GPT4All
    8. Faraday

    AI recommended 8 alternatives but never named daodao97/chatmcp. 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 daodao97/chatmcp?
    pass
    AI named daodao97/chatmcp explicitly

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

  • If a team adopts daodao97/chatmcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named daodao97/chatmcp 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 daodao97/chatmcp solve, and who is the primary audience?
    pass
    AI named daodao97/chatmcp explicitly

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

Embed your GEO score

Drop this badge into the README of daodao97/chatmcp. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/daodao97/chatmcp.svg)](https://repogeo.com/en/r/daodao97/chatmcp)
HTML
<a href="https://repogeo.com/en/r/daodao97/chatmcp"><img src="https://repogeo.com/badge/daodao97/chatmcp.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

daodao97/chatmcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite