RRepoGEO

REPOGEO REPORT · LITE

nanbingxyz/5ire

Default branch main · commit d6c1d66e · scanned 5/25/2026, 12:51:40 AM

GitHub: 5,225 stars · 406 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 nanbingxyz/5ire, 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
    Add a prominent disclaimer in the README to differentiate from 5ireChain

    Why:

    COPY-PASTE FIX
    This repository is for 5ire, a cross-platform desktop AI assistant and Model Context Protocol (MCP) client. **Please note: This is not the 5ireChain blockchain project.**
  • highabout#2
    Clarify the "About" description to explicitly state it's not the 5ireChain blockchain

    Why:

    CURRENT
    5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .
    COPY-PASTE FIX
    5ire is a cross-platform desktop AI assistant and Model Context Protocol (MCP) client, designed for local knowledge bases and various LLM providers. This project is distinct from the 5ireChain blockchain.
  • mediumtopics#3
    Expand topics with common terms for desktop AI assistants and LLM clients

    Why:

    CURRENT
    knowledge-base, llms, mcp, mcp-client, model-context-protocol
    COPY-PASTE FIX
    knowledge-base, llms, mcp, mcp-client, model-context-protocol, ai-assistant, desktop-ai, local-llm, llm-client

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 nanbingxyz/5ire
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Jan
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Jan · recommended 2×
  2. LM Studio · recommended 2×
  3. Ollama · recommended 2×
  4. AnythingLLM · recommended 2×
  5. Obsidian · recommended 1×
  • CATEGORY QUERY
    What are good cross-platform desktop AI assistants that use a local knowledge base?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Smart Connections
    3. Text Generator
    4. Local GPT
    5. Jan
    6. LM Studio
    7. Ollama
    8. PrivateGPT
    9. AnythingLLM
    10. Quivr

    AI recommended 10 alternatives but never named nanbingxyz/5ire. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a desktop AI client compatible with multiple LLM providers and model context protocol.
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. Jan
    4. LocalAI
    5. GPT4All
    6. AnythingLLM
    7. OpenWebUI

    AI recommended 7 alternatives but never named nanbingxyz/5ire. 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 nanbingxyz/5ire?
    pass
    AI named nanbingxyz/5ire explicitly

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

  • If a team adopts nanbingxyz/5ire in production, what risks or prerequisites should they evaluate first?
    pass
    AI named nanbingxyz/5ire 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 nanbingxyz/5ire solve, and who is the primary audience?
    pass
    AI did not name nanbingxyz/5ire — 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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nanbingxyz/5ire — 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