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Agent Readiness Index

Azure AI Search

Not Agent-Ready Yet · Grade F · Scanned May 17, 2026

Microsoft's managed search platform for enterprise applications, powering intelligent information retrieval and RAG systems.

AI Search Engine
Retrieval Augmented Generation
Redmond, United States
39
/ 100
Grade F
Six-dimension breakdown

Discoverability

Can an AI agent find sitemaps, llms.txt, and machine-readable entry points?

91

Content

Can agents consume content cheaply via markdown, schema.org, and structured data?

43

Access Control

Are crawl rules and AI bot permissions declared in robots.txt?

40

Capabilities

Does the site expose APIs, MCP endpoints, or agent-usable tools?

26

Commerce

Can agents discover pricing and initiate payments (x402, MPP, UCP)?

33

Quality

Performance, token efficiency, and trust signals beyond baseline checks.

20
Priority fixes

Quality (20/100)

Improve quality signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Capabilities (26/100)

Improve capabilities signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

Commerce (33/100)

Improve commerce signals: llms.txt, robots.txt AI rules, structured data, MCP or OpenAPI endpoints, and agent-readable pricing where relevant.

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How we score

StartupHub audits the full website across 50+ checks: discoverability, content negotiation, access control, capabilities (API/MCP), commerce (x402/MPP), and quality.

Unlike pricing-only indexes, we measure whether AI agents can find, read, and act on the entire site, not just the pricing page.

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