RRepoGEO

REPOGEO REPORT · LITE

concierge-hq/concierge

Default branch main · commit 8b6d217c · scanned 6/9/2026, 12:06:50 PM

GitHub: 534 stars · 97 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 concierge-hq/concierge, 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 README's opening to prevent miscategorization as an internal dev platform

    Why:

    CURRENT
    The fabric for reliable MCP servers and AI applications.
    COPY-PASTE FIX
    Concierge AI 🚀

**The fabric for reliable MCP servers and AI applications.**

Concierge is an SDK for building robust AI agent servers that manage tool access via the Model Context Protocol (MCP). It is *not* an internal developer platform or a Kubernetes management tool.
  • mediumreadme#2
    Add a 'Why Concierge?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why Concierge?

While frameworks like LangChain and LlamaIndex provide excellent foundations for building LLM applications, Concierge focuses specifically on the Model Context Protocol (MCP) to offer deterministic, reliable, and context-aware tool orchestration for AI agents. Unlike general-purpose frameworks, Concierge guarantees that agents only see relevant tools at each step, simplifying agent design and improving reliability.
  • lowlicense#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under the terms found in the [LICENSE](LICENSE) file. Please refer to the 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 concierge-hq/concierge
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. FastAPI · recommended 1×
  3. Docker · recommended 1×
  4. Kubernetes · recommended 1×
  5. Redis · recommended 1×
  • CATEGORY QUERY
    How to build a reliable server for AI agents to interact with various tools?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. LangChain
    3. Docker
    4. Kubernetes
    5. Redis
    6. PostgreSQL
    7. Celery
    8. Prometheus
    9. Grafana

    AI recommended 9 alternatives but never named concierge-hq/concierge. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good SDK for standardizing tool access for LLM agents and applications?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions (Function Calling)
    4. Microsoft Semantic Kernel
    5. Haystack (deepset)
    6. CrewAI

    AI recommended 6 alternatives but never named concierge-hq/concierge. 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 concierge-hq/concierge?
    pass
    AI named concierge-hq/concierge explicitly

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

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

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

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concierge-hq/concierge — 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