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Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

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Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

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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 5, 2026, 4:54 AM
VISIBILITY
Public
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57/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability40%Agent Easeof Use48%Security& Trust45%GEO, AIO, AEO54%SEO100%Performance99%Accessibility86%
  • AI Discoverability 40 out of 100
  • Agent Ease of Use 48 out of 100
  • Security & Trust 45 out of 100
  • GEO, AIO and AEO 54 out of 100
  • SEO 100 out of 100
  • Performance 99 out of 100
  • Accessibility 86 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Cloud-based data analytics exploration for all | Chartio favicon

Cloud-based data analytics exploration for all | Chartio

Chartio’s cloud-based business intelligence and analytics solution enables everyone to analyze their data from their business applications.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
40
Priority fix2132View details
Discoverability
43
Priority fix500
Content Readiness
37
Priority fix1500
Bot Access Control
41
Priority fix132View details
Agent Ease of Use
48
Priority fix330View details
Auth
10
Priority fix130View details
Google Agentic Browsing
100
Strong200
GEO, AIO and AEO
54
Needs work500
GEO Readiness
Not Applicable
Not Applicable100
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable100
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
45
Priority fix700
Security & Trust
45
Priority fix700
Performance
99
Strong1600
Performance
99
Strong1600

Prioritized recommendations

Issues ranked by score impact

3 items need attention

Agent Ease of UseAuthEmerging recommendation

Auth.md Agent Registration

Auth.md Agent Registration failed at "Fetch and validate /auth.md".

90 Fail

Needs attention

Auth.md Agent Registration

Failed check
01

Issue

auth.md could not be fetched.

Details

02

Why it matters

Human login and signup flows are often opaque to agents. Auth.md gives automated clients a stable registration contract instead of forcing them to scrape docs, automate browser forms, or guess credential flows.

Check name

Auth.md Agent Registration

Score

10/100

Status

fail

Category

Auth

Maturity

Emerging recommendation

Goal

Publish Auth.md v1 metadata so agents can discover how to register, claim a user, and obtain credentials.

Result

Auth.md Agent Registration failed at "Fetch and validate /auth.md".

Validation steps

  1. Fetch and validate /auth.md

    auth.md could not be fetched.

    /auth.md is missing or not usable as agent registration guidance
  2. Validate protected resource metadata

    OAuth Protected Resource Metadata could not be fetched.

    Auth.md protected-resource metadata is missing or incomplete
  3. Validate Auth.md authorization metadata

    OAuth authorization-server metadata could not be fetched.

    Authorization-server metadata lacks Auth.md v1 fields
Evidence log3 steps · 18 lines
Fetch and validate /auth.md [fail]! auth.md could not be fetched.INFOFetch and validate /auth.mdINFOFetch Auth.md-related resource path="/auth.md" statusCode=403 contentType="application/xml" bytes=111FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILAuth.md validation issue issue="auth.md could not be fetched."FAILauth.md could not be fetched.Validate protected resource metadata [fail]! OAuth Protected Resource Metadata could not be fetched.INFOValidate protected resource metadataINFOFetch Auth.md-related resource path="/.well-known/oauth-protected-resource" statusCode=403 contentType="application/xml" bytes=111FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILAuth.md validation issue issue="OAuth Protected Resource Metadata could not be fetched."FAILOAuth Protected Resource Metadata could not be fetched.Validate Auth.md authorization metadata [fail]! OAuth authorization-server metadata could not be fetched.INFOValidate Auth.md authorization metadataINFOFetch Auth.md-related resource path="/.well-known/oauth-authorization-server" statusCode=403 contentType="application/xml" bytes=111FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILAuth.md validation issue issue="OAuth authorization-server metadata could not be fetched."FAILOAuth authorization-server metadata could not be fetched.

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

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Score history

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2 reports
Public score history report links
Scan dateScoreReadinessReport
57/100Level 3, Bot-AwareView report
57/100Level 3, Bot-AwareCurrent report