RRepoGEO

REPOGEO REPORT · LITE

ParisNeo/lollms_hub

Default branch main · commit eb5a1067 · scanned 6/7/2026, 7:06:56 PM

GitHub: 635 stars · 100 forks

AI VISIBILITY SCORE
28 /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
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 ParisNeo/lollms_hub, 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 opening to explicitly state its API Gateway function for LLMs

    Why:

    CURRENT
    # 🧊 LoLLMs Hub Fortress: The Universal AI Gateway
    COPY-PASTE FIX
    # 🧊 LoLLMs Hub Fortress: The Universal AI Gateway for LLMs

LoLLMs Hub is an API Gateway and orchestration layer specifically designed for Large Language Models (LLMs). It unifies and secures access to various local and cloud AI backends, providing intelligent routing, load balancing, and enterprise-grade security for your LLM infrastructure.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/ParisNeo/lollms_hub#readme
  • lowreadme#3
    Clarify the relationship between "LoLLMs Hub" and the broader "LoLLMs ecosystem" in the README

    Why:

    COPY-PASTE FIX
    While LoLLMs Hub is developed by the creators of the LoLLMs platform, it functions as a universal API Gateway compatible with any LLM backend, including Ollama, vLLM, llama.cpp, and OpenAI-compatible services, not exclusively the LoLLMs ecosystem.

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 ParisNeo/lollms_hub
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure API Management
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure API Management · recommended 2×
  2. AWS API Gateway · recommended 2×
  3. Kong/kong · recommended 1×
  4. Kong Konnect · recommended 1×
  5. Apigee · recommended 1×
  • CATEGORY QUERY
    How to unify and secure multiple local and cloud AI model APIs?
    you: not recommended
    AI recommended (in order):
    1. Kong Gateway (Kong/kong)
    2. Kong Konnect
    3. Azure API Management
    4. AWS API Gateway
    5. Apigee
    6. Tyk API Gateway (TykTechnologies/tyk)
    7. Gloo Gateway (solo-io/gloo)

    AI recommended 7 alternatives but never named ParisNeo/lollms_hub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an API gateway for load balancing various local and remote LLM services.
    you: not recommended
    AI recommended (in order):
    1. Kong Gateway
    2. Apache APISIX
    3. NGINX Plus
    4. NGINX (Open Source)
    5. NGINX Unit
    6. Envoy Proxy
    7. Tyk API Gateway
    8. AWS API Gateway
    9. Azure API Management
    10. Google Cloud API Gateway

    AI recommended 10 alternatives but never named ParisNeo/lollms_hub. 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 ParisNeo/lollms_hub?
    pass
    AI did not name ParisNeo/lollms_hub — 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?

  • If a team adopts ParisNeo/lollms_hub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ParisNeo/lollms_hub 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 ParisNeo/lollms_hub solve, and who is the primary audience?
    pass
    AI named ParisNeo/lollms_hub 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 ParisNeo/lollms_hub. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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ParisNeo/lollms_hub — 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