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 4, 2026, 2:23 PM
VISIBILITY
Public
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48/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability59%Agent Easeof Use47%Security& Trust45%GEO, AIO, AEO68%SEO85%Performance70%Accessibility0%
  • AI Discoverability 59 out of 100
  • Agent Ease of Use 47 out of 100
  • Security & Trust 45 out of 100
  • GEO, AIO and AEO 68 out of 100
  • SEO 85 out of 100
  • Performance 70 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

EaseUS Software | Data Recovery, Backup, Partition Manager, Data Transfer, Video Editor and Recorder. favicon

EaseUS Software | Data Recovery, Backup, Partition Manager, Data Transfer, Video Editor and Recorder.

EaseUS offers various software utilities to safeguard your data and improve productivity, including data recovery software, backup software, partition manager, data transfer tool, video editor, and recorder.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
59
Needs work3032View details
Discoverability
67
Needs work800
Content Readiness
72
Needs work2100
Bot Access Control
41
Priority fix132View details
Agent Ease of Use
47
Priority fix110View details
Google Agentic Browsing
33
Priority fix110View details
GEO, AIO and AEO
68
Needs work1000
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable500
AEO Readiness
Not Applicable
Not Applicable200
SEO
85
Mostly ready800
SEO
85
Mostly ready800
Security & Trust
45
Priority fix700
Security & Trust
45
Priority fix700
Performance
70
Needs work1200
Performance
70
Needs work1200

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityBot Access ControlEmerging recommendation

ai.txt policy

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

39 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

23/100

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. Validate transport

    ai.txt was served as application/xml; text/plain is preferred.

    /ai.txt transport is invalid or not plain text
  3. 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
  4. Validate policy content

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

    /ai.txt content is incomplete or unsafe
Evidence log4 steps · 18 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="application/xml" length=111FAIL/ai.txt returned HTTP 403. statusCode=403Validate transport [warning]! ai.txt was served as application/xml; text/plain is preferred.INFOValidate transportINFOChecking ai.txt media type, size, line count, and whether the response looks like plain text contentType="application/xml" length=111 lineCount=2WARNCompare media type to preferred text/plain transport actual="application/xml" expected="text/plain preferred; readable text required"WARNai.txt was served as application/xml; text/plain is preferred. warnings=["ai.txt was served as application/xml; text/plain is preferred."]Parse 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=false 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.

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

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
48/100Level 2, Agent-LimitedCurrent report