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
Jun 17, 2026, 10:36 PM
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Public
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62/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability62%Agent Easeof Use50%Security& Trust74%GEO, AIO, AEO66%SEO92%Performance93%Accessibility0%
  • AI Discoverability 62 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 74 out of 100
  • GEO, AIO and AEO 66 out of 100
  • SEO 92 out of 100
  • Performance 93 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

GraphHopper Directions API with Route Optimization favicon

GraphHopper Directions API with Route Optimization

A fast Directions API with world wide data from OpenStreetMap and route optimization. Stay independent and flexible.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
62
Needs work3610View details
Discoverability
67
Needs work800
Content Readiness
77
Mostly ready2700
Bot Access Control
45
Priority fix110View details
GEO, AIO and AEO
66
Needs work912View details
GEO Readiness
58
Needs work312View details
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable300
SEO
92
Strong900
SEO
92
Strong900
Security & Trust
74
Needs work1713View details
Security & Trust
74
Needs work1713View details
Performance
93
Strong1500
Performance
93
Strong1500

Prioritized recommendations

Issues ranked by score impact

5 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".

69 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.

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.

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

Security & TrustSecurity & TrustEstablished

Content-Security-Policy

Content-Security-Policy failed at "Evaluate fetch baseline".

37 Fail

Needs attention

Content-Security-Policy

Failed check
01

Issue

default-src is present but not meaningfully restrictive.

02

Why it matters

Content Security Policy reduces the impact of injection bugs by limiting where scripts, styles, frames, forms, and other browser resources can load or execute.

Check name

Content-Security-Policy

Score

63/100

Status

fail

Category

Security & Trust

Maturity

Established

Goal

Constrain browser resource loading and script execution with an enforcing Content-Security-Policy header.

Result

Content-Security-Policy failed at "Evaluate fetch baseline".

Validation steps

  1. Evaluate fetch baseline

    default-src is present but not meaningfully restrictive.

  2. Evaluate script execution

    script-src allows unsafe-inline without nonce or hash controls.

  3. Review hardening directives

    CSP is missing recommended hardening directives: base-uri, form-action.

  4. Review CSP reporting

    CSP does not define a reporting endpoint.

Evidence log4 steps · 16 lines
Evaluate fetch baseline [fail]! default-src is present but not meaningfully restrictive.INFOEvaluate fetch baselineINFOEvaluate resource loading fallback defaultSrc=["data:","https:","'unsafe-eval'","'unsafe-inline'"] explicitFetchDirectives=["font-src","frame-src","object-src","script-src"]FAILCompare fetch baseline actual=["data:","https:","'unsafe-eval'","'unsafe-inline'"] expected="restricted default-src or broad explicit fetch coverage" issue="default-src is present but not meaningfully restrictive."FAILdefault-src is present but not meaningfully restrictive.Evaluate script execution [warning]! script-src allows unsafe-inline without nonce or hash controls.INFOEvaluate script executionINFOInspect effective script directive effectiveDirective="script-src" sources=["'self'","'unsafe-inline'","'unsafe-eval'","graphhopper.com","*.graphhopper.com","vimeo.com"]WARNCompare script execution posture actual={"hasNonce":false,"hasHash":false,"hasStrictDynamic":false,"hasUnsafeInline":true,"hasUnsafeEval":true,"hasWildcardHost":true,"hasBroadScheme":false,"dangerousSchemes":[]} expected="constrained script sources without unsafe execution allowances" issue="script-src allows unsafe-inline without nonce or hash controls."WARNscript-src allows unsafe-inline without nonce or hash controls.Review hardening directives [warning]! CSP is missing recommended hardening directives: base-uri, form-action.INFOReview hardening directivesINFOInspect CSP hardening directives objectSrc=["'none'"] formCount=1WARNCompare recommended hardening coverage actual=["base-uri","form-action"] expected="no missing object-src/base-uri/form-action requirements" issue="CSP is missing recommended hardening directives: base-uri, form-action."WARNCSP is missing recommended hardening directives: base-uri, form-action.Review CSP reporting [warning]! CSP does not define a reporting endpoint.INFOReview CSP reportingINFOInspect CSP reporting directives reportOnlyHeaderPresent=false reportOnlyDirectives=[]WARNCompare violation reporting configuration actual="no reporting endpoint" expected="report-to or report-uri present" issue="CSP does not define a reporting endpoint."WARNCSP does not define a reporting endpoint.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Citable passages

GEO: Citable passages scored 0/100 and needs a fix.

12 Fail

Needs attention

GEO: Citable passages

Failed check
01

Issue

No evidence-backed, citation-length explanatory paragraph was found.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Citable passages

Score

0/100

Status

fail

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for AI answer engines to extract, cite, and attribute without promising inclusion in any proprietary answer surface.

Result

GEO: Citable passages scored 0/100 and needs a fix.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Structured extraction

GEO: Structured extraction scored 88/100 and needs improvement.

1 Warning

Needs attention

GEO: Structured extraction

Warning
01

Issue

Missing or weak extraction signals: summary or key takeaways.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Structured extraction

Score

88/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for AI answer engines to extract, cite, and attribute without promising inclusion in any proprietary answer surface.

Result

GEO: Structured extraction scored 88/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Entity clarity

GEO: Entity clarity scored 89/100 and needs improvement.

1 Warning

Needs attention

GEO: Entity clarity

Warning
01

Issue

Title/H1 terms missing from description: graphhopper, planning, application.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Entity clarity

Score

89/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for AI answer engines to extract, cite, and attribute without promising inclusion in any proprietary answer surface.

Result

GEO: Entity clarity scored 89/100 and needs improvement.

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Score history