CanAgentUse tools

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 6, 2026, 2:56 AM
VISIBILITY
Public
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48/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability60%Agent Easeof Use48%Security& Trust52%GEO, AIO, AEO59%SEO85%Performance67%Accessibility0%
  • AI Discoverability 60 out of 100
  • Agent Ease of Use 48 out of 100
  • Security & Trust 52 out of 100
  • GEO, AIO and AEO 59 out of 100
  • SEO 85 out of 100
  • Performance 67 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
60
Needs work2610View details
Discoverability
67
Needs work800
Content Readiness
71
Needs work1700
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
48
Priority fix010View details
Google Agentic Browsing
38
Priority fix010View details
GEO, AIO and AEO
59
Needs work600
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable200
AEO Readiness
Not Applicable
Not Applicable200
SEO
85
Mostly ready800
SEO
85
Mostly ready800
Security & Trust
52
Needs work900
Security & Trust
52
Needs work900
Performance
67
Needs work810View details
Performance
67
Needs work810View details

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 "Classify AI crawler rules".

69 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

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

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

31/100

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 "Classify AI crawler rules".

Validation steps

  1. Classify AI crawler rules

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

    robots.txt lacks explicit AI crawler rules
Evidence log1 step · 6 lines
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=21 unspecified=0

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."
}

PerformancePerformanceBrowser audit

Avoid large layout shifts

100 Fail

Check name

Avoid large layout shifts

Score

0/100

Status

fail

Device

desktop

Category

Performance

Estimated savings

5 layout shifts found

Fix guidance

These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)

Evidence
{
  "displayValue": "5 layout shifts found",
  "description": "These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)"
}

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Score history

Public scan score over time

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2 reports
Public score history report links
Scan dateScoreReadinessReport
53/100Level 3, Bot-AwareView report
48/100Level 2, Agent-LimitedCurrent report