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, 7:25 AM
VISIBILITY
Public
Rescan Report
Share Report
Copy Report Link
Export Report
48/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability44%Agent Easeof Use54%Security& Trust62%GEO, AIO, AEO48%SEO100%Performance60%Accessibility0%
  • AI Discoverability 44 out of 100
  • Agent Ease of Use 54 out of 100
  • Security & Trust 62 out of 100
  • GEO, AIO and AEO 48 out of 100
  • SEO 100 out of 100
  • Performance 60 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Pantry - Free Cloud JSON Storage API favicon

Pantry - Free Cloud JSON Storage API

Pantry is a free, API based JSON storage solution for small projects. We help developers build projects quickly

Open Agent View

Next step

Turn this report into a fix workflow

1 failed check is ready to move into MCP or CLI remediation. Generate a repair prompt, connect the scanner to your coding agent, or open the integration docs before your next rescan.

Fix with MCP / CLI
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
44
Priority fix1823View details
Discoverability
40
Priority fix400
Content Readiness
22
Priority fix911View details
Bot Access Control
65
Needs work512View details
Agent Ease of Use
54
Needs work100
API
67
Needs work100
GEO, AIO and AEO
48
Priority fix600
GEO Readiness
Not Applicable
Not Applicable100
AIO Readiness
Not Applicable
Not Applicable200
AEO Readiness
Not Applicable
Not Applicable300
SEO
100
Strong800
SEO
100
Strong800
Security & Trust
62
Needs work1300
Security & Trust
62
Needs work1300
Performance
60
Needs work1500
Performance
60
Needs work1500
Accessibility
0
Priority fix010View details
Accessibility
0
Priority fix010View details

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".

50 Fail

Needs attention

ai.txt policy

Failed check
01

Issue

/ai.txt returned HTTP 429.

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

50/100

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 429.

  2. Parse ai.txt policy

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

  3. Validate policy content

    ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

Evidence log3 steps · 14 lines
Fetch /ai.txt [fail]! /ai.txt returned HTTP 429.INFOFetch /ai.txtINFORequesting optional advisory policy file at /ai.txtFAILCompare /ai.txt HTTP response actual=429 expected="2xx when ai.txt is intentionally published; 404/410 means absent optional file" contentType="text/plain" length=128FAIL/ai.txt returned HTTP 429. statusCode=429Parse 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 [warning]! ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.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=falseWARNCheck required and recommended section coverage actual={"missingRequired":["identity","permissions","restrictions"],"missingRecommended":["attribution","contact","content-types"]} expected={"missingRequired":[],"recommendedPresentWhenPossible":true}WARNai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

45 Warning

Needs attention

Author attribution

Warning
01

Issue

No named author or publisher identity could be extracted.

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

55/100

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.

  2. Author identity quality

    No named author or publisher identity could be extracted.

Evidence log2 steps · 8 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 extracted

AccessibilityAccessibilityBrowser audit

Accessibility audit

100 Fail

Check name

Accessibility audit

Score

0/100

Status

fail

Device

desktop

Category

Accessibility

Fix guidance

Make sure the page can load in Chrome and run Accessibility checks.

Evidence
{
  "error": "Execution context was destroyed, most likely because of a navigation."
}

Sign in to see 38 other issues and the full report

Create a free account to unlock every issue, evidence details, exports, and higher free limits.

Fix with MCP or CLI

Use this report as the handoff into remediation. Generate a coding-agent prompt with the failing checks attached, or jump to the MCP and CLI setup docs before your next rescan.

Fix with MCP / CLI

Score history