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Agent Readiness Index

Strategy

Moderately Agent-Ready · Grade C · Scanned May 25, 2026

AI-powered platform for personalized customer engagement and marketing automation.

Marketing Automation
Customer Engagement
$715M raised
San Francisco, United States
69
/ 100
Grade C
This site blocked our scanner (bot challenge or WAF). Scores may under-report HTML-derived signals like schema.org and content negotiation.
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?

28

Access Control

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

100

Capabilities

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

74

Commerce

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

63

Quality

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

100
Priority fixes

Content (28/100)

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

Commerce (63/100)

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

Capabilities (74/100)

Improve capabilities 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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