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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 3, 2026, 1:04 AM
VISIBILITY
Public
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42/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability24%Agent Easeof Use50%Security& Trust45%GEO, AIO, AEO63%SEO100%Performance91%Accessibility12%
  • AI Discoverability 24 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 45 out of 100
  • GEO, AIO and AEO 63 out of 100
  • SEO 100 out of 100
  • Performance 91 out of 100
  • Accessibility 12 out of 100

CAPTURED SCREENSHOT

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What AI sees of your website

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
24
Priority fix941View details
Discoverability
7
Priority fix100
Content Readiness
25
Priority fix821View details
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
63
Needs work800
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable300
SEO
100
Strong800
SEO
100
Strong800
Security & Trust
45
Priority fix700
Security & Trust
45
Priority fix700
Performance
91
Strong1600
Performance
91
Strong1600

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

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

70 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

30/100

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
  3. Visible byline parity

    Structured author/publisher names were not found in visible byline text.

    Author attribution does not match visible byline content
Evidence log3 steps · 12 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 extractedVisible byline parity [fail]! Structured author/publisher names were not found in visible byline text.INFOVisible byline parityINFOComparing structured contributor names with visible byline evidenceFAILCheck visible attribution matches actual=0 expected="> 0 or visible byline present" visibleByline=false bylineCount=0FAILNo visible byline parity found

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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Score history

Public scan score over time

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1 reports
Public score history report links
Scan dateScoreReadinessReport
42/100Level 2, Agent-LimitedCurrent report