RRepoGEO

REPOGEO REPORT · LITE

Azure-Samples/AI-Gateway

Default branch main · commit 94ed6117 · scanned 6/15/2026, 8:08:03 AM

GitHub: 943 stars · 459 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 Azure-Samples/AI-Gateway, 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 README H1 and H2 to emphasize the gateway solution first

    Why:

    CURRENT
    # ✨ AI Gateway Labs
### Explore the enterprise-grade gateway for managing AI Models, Tools, and Agents
    COPY-PASTE FIX
    # ✨ AI Gateway: Enterprise-Grade Management for AI Models, Tools, and Agents
### Hands-on Labs for Securing, Monitoring, and Optimizing AI Workloads with Azure API Management
  • mediumabout#2
    Update the repository description to highlight the gateway solution

    Why:

    CURRENT
    Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
    COPY-PASTE FIX
    An enterprise-grade AI Gateway powered by Azure API Management and Microsoft Foundry, offering labs to secure, monitor, and manage AI Models, MCP servers, and Agents 🚀
  • lowcomparison#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'AI Gateway vs. Other Solutions' or 'Why AI Gateway?' that explicitly compares its features (e.g., AI-specific security, cost control, multi-model routing) against generic API gateways (like Azure API Management, AWS API Gateway) and AI orchestration frameworks (like LangChain, Semantic Kernel), highlighting its unique position as a dedicated AI management layer.

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 Azure-Samples/AI-Gateway
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cortex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cortex · recommended 2×
  2. Azure API Management · recommended 1×
  3. AWS API Gateway · recommended 1×
  4. Google Cloud Apigee · recommended 1×
  5. Auth0 · recommended 1×
  • CATEGORY QUERY
    How to secure, monitor, and manage access to various generative AI models in production?
    you: not recommended
    AI recommended (in order):
    1. Azure API Management
    2. AWS API Gateway
    3. Google Cloud Apigee
    4. Auth0
    5. Okta
    6. Gryphon.ai
    7. Vectara
    8. OpenAI API
    9. Cortex

    AI recommended 9 alternatives but never named Azure-Samples/AI-Gateway. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What solutions help route and optimize requests to multiple AI models and agents?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Assistants API
    2. LangChain
    3. LlamaIndex
    4. Microsoft Semantic Kernel
    5. Haystack
    6. Cortex
    7. AWS Lambda
    8. Google Cloud Functions
    9. Azure Functions

    AI recommended 9 alternatives but never named Azure-Samples/AI-Gateway. 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 Azure-Samples/AI-Gateway?
    pass
    AI did not name Azure-Samples/AI-Gateway — 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 Azure-Samples/AI-Gateway in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure-Samples/AI-Gateway 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 Azure-Samples/AI-Gateway solve, and who is the primary audience?
    pass
    AI named Azure-Samples/AI-Gateway explicitly

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

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