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UCP Suite

Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

MCP Playground

Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

A2A Playground

Inspect Agent Cards, validate advertised endpoints, and prepare safe requests for agent-to-agent workflows.

Agent Website Viewer

Enter a public URL and see the roles, names, landmarks, controls, and blockers that shape how AI agents understand the page.

SCANNED
Jul 4, 2026, 5:52 PM
VISIBILITY
Public
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40/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability22%Agent Easeof Use50%Security& Trust54%GEO, AIO, AEO65%SEO100%Performance86%Accessibility0%
  • AI Discoverability 22 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 54 out of 100
  • GEO, AIO and AEO 65 out of 100
  • SEO 100 out of 100
  • Performance 86 out of 100
  • Accessibility 0 out of 100

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
22
Priority fix820View details
Discoverability
7
Priority fix100
Content Readiness
18
Priority fix700
Bot Access Control
38
Priority fix020View details
Agent Ease of Use
50
Needs work110View details
Google Agentic Browsing
50
Needs work110View details
GEO, AIO and AEO
65
Needs work1100
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable500
AEO Readiness
Not Applicable
Not Applicable400
SEO
100
Strong800
SEO
100
Strong800
Security & Trust
54
Needs work1010View details
Security & Trust
54
Needs work1010View details
Performance
86
Mostly ready1600
Performance
86
Mostly ready1600

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityBot Access ControlEstablished

AI bot rules in robots.txt

AI bot rules in robots.txt failed at "Fetch robots.txt".

100 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

No robots.txt content was available to inspect for AI bot rules.

Details

02

Why it matters

AI crawler product tokens have different meanings. Explicit robots.txt groups make training, search, and retrieval access policy auditable for compliant crawler operators.

Check name

AI bot rules in robots.txt

Score

0/100

Status

fail

Category

Bot Access Control

Maturity

Established

Goal

Declare deliberate robots.txt rules for major AI training, AI search, user-triggered, and dataset crawlers.

Result

AI bot rules in robots.txt failed at "Fetch robots.txt".

Validation steps

  1. Fetch robots.txt

    No robots.txt content was available to inspect for AI bot rules.

    robots.txt is missing for AI crawler policy inspection
  2. Classify AI crawler rules

    No explicit User-agent rules were found for major AI crawler tokens.

    robots.txt lacks explicit AI crawler rules
Evidence log2 steps · 10 lines
Fetch robots.txt [fail]! No robots.txt content was available to inspect for AI bot rules.INFOFetch robots.txtINFORequesting /robots.txt from the site originFAILCheck whether robots.txt content is available actual="no content" expected="content returned" length=0FAILNo robots.txt content was available to inspect for AI bot rules.Classify AI crawler rules [fail]! No explicit User-agent rules were found for major AI crawler tokens.INFOClassify AI crawler rulesINFOParsing User-agent groups and Allow/Disallow records for known AI crawler tokens evaluatedPath="/"INFOEvaluating exact User-agent matches before wildcard fallback exactAiPolicyCount=0 totalCrawlerTokens=18FAILNo explicit AI crawler User-agent groups were found examplesExpected=["GPTBot","OAI-SearchBot","ClaudeBot","Google-Extended","CCBot"]FAILCompare explicit AI crawler coverage actual=0 expected="> 0 explicit non-search AI crawler policies" missingTokens=["GPTBot","OAI-SearchBot","ChatGPT-User","ClaudeBot","Claude-SearchBot","Claude-User","Google-Extended","Applebot-Extended","Amazonbot","Amzn-SearchBot","Amzn-User","PerplexityBot"]INFOResolved effective root-path policy for crawler tokens blocked=0 allowed=0 unspecified=21

Security & TrustSecurity & TrustEstablished

Content-Security-Policy

Content-Security-Policy failed at "Find enforcing CSP delivery".

60 Fail

Needs attention

Content-Security-Policy

Failed check
01

Issue

Applicable HTML response is missing an enforcing Content-Security-Policy header.

Details

02

Why it matters

Content Security Policy reduces the impact of injection bugs by limiting where scripts, styles, frames, forms, and other browser resources can load or execute.

Check name

Content-Security-Policy

Score

40/100

Status

fail

Category

Security & Trust

Maturity

Established

Goal

Constrain browser resource loading and script execution with an enforcing Content-Security-Policy header.

Result

Content-Security-Policy failed at "Find enforcing CSP delivery".

Validation steps

  1. Find enforcing CSP delivery

    Applicable HTML response is missing an enforcing Content-Security-Policy header.

    Enforcing Content-Security-Policy header is missing
Evidence log1 step · 4 lines
Find enforcing CSP delivery [fail]! Applicable HTML response is missing an enforcing Content-Security-Policy header.INFOFind enforcing CSP deliveryINFORead CSP delivery headers enforcingHeader="missing" reportOnlyHeader="missing" metaPolicyCount=0 legacyHeadersPresent=[]FAILRequire enforcing Content-Security-Policy header actual="missing" expected="present" issue="Applicable HTML response is missing an enforcing Content-Security-Policy header."FAILApplicable HTML response is missing an enforcing Content-Security-Policy header.

Agent Ease of UseGoogle Agentic BrowsingBrowser audit

Accessibility tree is not well-formed

100 Fail

Check name

Accessibility tree is not well-formed

Score

0/100

Status

fail

Device

desktop

Category

Google Agentic Browsing

Fix guidance

A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.

Evidence
{
  "description": "A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page."
}

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Fix with MCP / CLI

Score history

Public scan score over time

Public reports for this website origin. Select any point or report link to open that canonical report.

1 reports
Public score history report links
Scan dateScoreReadinessReport
40/100Level 2, Agent-LimitedCurrent report
embedgooglemap.net AI Agent Readiness Report: 40/100 (Level 2, Agent-Limited)