RRepoGEO

REPOGEO REPORT · LITE

landingbj/LinkMind

Default branch main · commit 61029195 · scanned 6/18/2026, 4:31:59 PM

GitHub: 508 stars · 13 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 landingbj/LinkMind, 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
    Strengthen README's opening to explicitly counter miscategorization

    Why:

    CURRENT
    # LinkMind

LinkMind is enterprise-grade multimodal AI middleware for teams that need one stable layer between business systems, private knowledge, model providers, and agent runtimes. It focuses on fast onboarding, low-friction integration, routing and failover, RAG, multimodal APIs, and production governance.
    COPY-PASTE FIX
    # LinkMind: Enterprise Multimodal AI Middleware (NOT a Mind Map)

LinkMind is enterprise-grade multimodal AI middleware, designed for teams that need a stable, unified layer between business systems, private knowledge, diverse model providers, and agent runtimes. Crucially, LinkMind is not a personal knowledge management or mind-mapping tool. Instead, it focuses on fast onboarding, low-friction integration, intelligent routing and failover, advanced RAG, multimodal APIs, and robust production governance for large language models and AI services.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    llm, middleware, multimodal-ai, rag, ai-agents, enterprise-ai, large-language-models, api-gateway, routing, failover, openai-api
  • mediumlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [insert specific license name(s) here, e.g., 'a custom license combining Apache-2.0 and MIT terms']. Please refer to the `LICENSE` file for full details.

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 landingbj/LinkMind
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. Microsoft Azure AI Studio / Azure OpenAI Service · recommended 1×
  4. Google Cloud Vertex AI · recommended 1×
  5. Hugging Face Transformers & Inference Endpoints · recommended 1×
  • CATEGORY QUERY
    How to integrate diverse large language models and multimodal AI services into business systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Azure AI Studio / Azure OpenAI Service
    4. Google Cloud Vertex AI
    5. Hugging Face Transformers & Inference Endpoints
    6. AWS SageMaker
    7. Kong
    8. Apigee
    9. AWS API Gateway

    AI recommended 9 alternatives but never named landingbj/LinkMind. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust solution for managing multiple large model providers with routing and failover capabilities.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM
    2. OpenAI Evals
    3. LangChain
    4. Vercel AI SDK
    5. Azure AI Studio
    6. Azure API Management
    7. AWS Bedrock
    8. AWS Lambda
    9. API Gateway
    10. NGINX
    11. Envoy

    AI recommended 11 alternatives but never named landingbj/LinkMind. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • 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 landingbj/LinkMind?
    pass
    AI named landingbj/LinkMind explicitly

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

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