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 3, 2026, 9:17 AM
VISIBILITY
Public
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51/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability51%Agent Easeof Use46%Security& Trust88%GEO, AIO, AEO59%SEO92%Performance94%Accessibility0%
  • AI Discoverability 51 out of 100
  • Agent Ease of Use 46 out of 100
  • Security & Trust 88 out of 100
  • GEO, AIO and AEO 59 out of 100
  • SEO 92 out of 100
  • Performance 94 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

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Open Agent View
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
51
Needs work1811View details
Discoverability
67
Needs work800
Content Readiness
20
Priority fix711View details
Bot Access Control
63
Needs work300
Agent Ease of Use
46
Priority fix410View details
API
50
Needs work400
Google Agentic Browsing
29
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
92
Strong900
SEO
92
Strong900
Security & Trust
88
Mostly ready2300
Security & Trust
88
Mostly ready2300
Performance
94
Strong1210View details
Performance
94
Strong1210View details

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

45 Warning

Needs attention

Author attribution

Warning
01

Issue

No named author or publisher identity could be extracted.

Details

02

Why it matters

Author attribution helps agents cite content responsibly, assess source credibility, and distinguish editorial pages from anonymous marketing copy.

Check name

Author attribution

Score

55/100

Status

warning

Category

Content Readiness

Maturity

Established

Goal

Identify content authors or publishers for trust and attribution.

Result

Author attribution is partially implemented.

Validation steps

  1. Schema.org attribution

    Schema.org attribution is incomplete or relies only on publisher/fallback evidence.

    Schema.org author attribution is missing or incomplete
  2. Author identity quality

    No named author or publisher identity could be extracted.

    Author identity quality is incomplete
Evidence log2 steps · 8 lines
Schema.org attribution [warning]! Schema.org attribution is incomplete or relies only on publisher/fallback evidence.INFOSchema.org attributionINFOChecking structured data for author, creator, and publisher contributorsWARNCheck named Schema.org author count actual=0 expected="> 0" authorCount=0 publisherCount=0 namedContributors=0 authors=[] publishers=[] formats=[]WARNSchema.org attribution is incomplete or fallback-only authorCount=0 publisherCount=0 authors=[] publishers=[]Author identity quality [fail]! No named author or publisher identity could be extracted.INFOAuthor identity qualityINFOChecking contributors for stable identity signalsFAILCheck identified contributor count actual=0 expected="> 0" namedContributors=0 identifiedContributors=[] unidentifiedContributors=[]FAILNo named contributor identity could be extracted

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

1 layout shift 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": "1 layout shift 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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Fix with MCP or CLI

Use this report as the handoff into remediation. Generate a coding-agent prompt with the failing checks attached, or jump to the MCP and CLI setup docs before your next rescan.

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
51/100Level 3, Bot-AwareCurrent report