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, 7:38 AM
VISIBILITY
Public
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59/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability50%Agent Easeof Use52%Security& Trust77%GEO, AIO, AEO63%SEO92%Performance66%Accessibility64%
  • AI Discoverability 50 out of 100
  • Agent Ease of Use 52 out of 100
  • Security & Trust 77 out of 100
  • GEO, AIO and AEO 63 out of 100
  • SEO 92 out of 100
  • Performance 66 out of 100
  • Accessibility 64 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
50
Needs work2531View details
Discoverability
47
Priority fix600
Content Readiness
62
Needs work1700
Bot Access Control
43
Priority fix231View details
Agent Ease of Use
52
Needs work610View details
Auth
58
Needs work500
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 Applicable400
AEO Readiness
Not Applicable
Not Applicable200
SEO
92
Strong900
SEO
92
Strong900
Security & Trust
77
Mostly ready2000
Security & Trust
77
Mostly ready2000
Performance
66
Needs work1700
Performance
66
Needs work1700

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".

35 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

AI DiscoverabilityBot Access ControlEmerging recommendation

ai.txt policy

ai.txt policy failed at "Fetch /ai.txt".

34 Fail

Needs attention

ai.txt policy

Failed check
01

Issue

/ai.txt returned HTTP 403.

Details

02

Why it matters

ai.txt is a fragmented emerging convention. It can communicate human-readable AI crawling, training, attribution, restriction, and contact guidance, but it is not a standard access-control mechanism and absence should not be penalized.

Check name

ai.txt policy

Score

33/100

Status

fail

Category

Bot Access Control

Maturity

Emerging recommendation

Goal

Publish an advisory human-readable AI usage policy only when the site intentionally needs one.

Result

ai.txt policy failed at "Fetch /ai.txt".

Validation steps

  1. Fetch /ai.txt

    /ai.txt returned HTTP 403.

    /ai.txt could not be fetched when present
  2. Parse ai.txt policy

    ai.txt is present but does not follow the AI Visibility section model.

    /ai.txt policy format is missing required sections or non-standard
  3. Validate policy content

    ai.txt is too short to provide useful advisory policy guidance.

    /ai.txt content is incomplete or unsafe
Evidence log3 steps · 14 lines
Fetch /ai.txt [fail]! /ai.txt returned HTTP 403.INFOFetch /ai.txtINFORequesting optional advisory policy file at /ai.txtFAILCompare /ai.txt HTTP response actual=403 expected="2xx when ai.txt is intentionally published; 404/410 means absent optional file" contentType="text/plain; charset=utf-8" length=46FAIL/ai.txt returned HTTP 403. statusCode=403Parse ai.txt policy [warning]! ai.txt is present but does not follow the AI Visibility section model.INFOParse ai.txt policyINFODetecting ai.txt convention from bracket sections, frontmatter, headings, and ai.txt context linksINFODetected policy structure convention="unknown-text" sections=[] markdownHeadings=[]WARNCheck AI Visibility required sections actual="missing identity, permissions, restrictions" expected="identity, permissions, and restrictions" missingRecommended=["attribution","contact","content-types"]WARNai.txt is present but does not follow the AI Visibility section model.Validate policy content [fail]! ai.txt is too short to provide useful advisory policy guidance.INFOValidate policy contentINFOChecking required section content, permission/restriction language, attribution, contact details, and safety risks convention="unknown-text"INFODetected policy signals hasPermissionLanguage=false hasRestrictionLanguage=false hasTrainingLanguage=false hasAttributionLanguage=true hasContact=falseFAILCheck required and recommended section coverage actual={"missingRequired":["identity","permissions","restrictions"],"missingRecommended":["attribution","contact","content-types"]} expected={"missingRequired":[],"recommendedPresentWhenPossible":true}FAILai.txt is too short to provide useful advisory policy guidance.

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

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

2 reports
Public score history report links
Scan dateScoreReadinessReport
55/100Level 3, Bot-AwareView report
59/100Level 3, Bot-AwareCurrent report