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 8, 2026, 3:43 AM
VISIBILITY
Public
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38/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability18%Agent Easeof Use50%Security& Trust54%GEO, AIO, AEO52%SEO91%Performance97%Accessibility0%
  • AI Discoverability 18 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 54 out of 100
  • GEO, AIO and AEO 52 out of 100
  • SEO 91 out of 100
  • Performance 97 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Datacoup - Reclaim your personal data favicon

Datacoup - Reclaim your personal data

Datacoup helps you reclaim and unlock the value of your personal data

Open Agent View

Next step

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Fix with MCP / CLI
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
18
Priority fix551View details
Discoverability
7
Priority fix100
Content Readiness
5
Priority fix431View details
Bot Access Control
38
Priority fix020View details
Agent Ease of Use
50
Needs work110View details
Google Agentic Browsing
50
Needs work110View details
GEO, AIO and AEO
52
Needs work600
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable200
AEO Readiness
Not Applicable
Not Applicable200
SEO
91
Strong700
SEO
91
Strong700
Security & Trust
54
Needs work1000
Security & Trust
54
Needs work1000
Performance
97
Strong1600
Performance
97
Strong1600

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 "Fetch robots.txt".

100 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

No robots.txt content was available to inspect for AI bot rules.

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

0/100

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 "Fetch robots.txt".

Validation steps

  1. Fetch robots.txt

    No robots.txt content was available to inspect for AI bot rules.

    robots.txt is missing for AI crawler policy inspection
  2. Classify AI crawler rules

    No explicit User-agent rules were found for major AI crawler tokens.

    robots.txt lacks explicit AI crawler rules
Evidence log2 steps · 10 lines
Fetch robots.txt [fail]! No robots.txt content was available to inspect for AI bot rules.INFOFetch robots.txtINFORequesting /robots.txt from the site originFAILCheck whether robots.txt content is available actual="no content" expected="content returned" length=0FAILNo robots.txt content was available to inspect for AI bot rules.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=0 unspecified=21

AI DiscoverabilityContent ReadinessEstablished

Content freshness signals

Content freshness signals is missing or incomplete.

100 Fail

Needs attention

Content freshness signals

Failed check
01

Issue

Content freshness signals are incomplete: missing any valid freshness date in Last-Modified, Schema.org, Open Graph, Dublin Core, generic meta, or sitemap lastmod.

Details

02

Why it matters

Freshness signals help agents, crawlers, and search systems decide whether content is current enough to cite, summarize, cache, or compare against newer sources.

Check name

Content freshness signals

Score

0/100

Status

fail

Category

Content Readiness

Maturity

Established

Goal

Expose modified and published dates for freshness-aware retrieval, citation, and ranking.

Result

Content freshness signals is missing or incomplete.

Validation steps

  1. Validate Last-Modified header

    No valid Last-Modified HTTP header was found.

    Last-Modified freshness signal is missing or invalid
  2. Validate structured freshness dates

    No Schema.org freshness dates were found.

    Structured freshness dates are missing or invalid
  3. Validate metadata freshness dates

    No Open Graph, Dublin Core, or generic meta freshness date was found.

    Metadata freshness dates are missing or invalid
  4. Corroborate with sitemap lastmod

    Add a sitemap entry with a valid lastmod for the canonical page URL when sitemap corroboration is useful.

    Sitemap lastmod corroboration is missing
Evidence log4 steps · 16 lines
Validate Last-Modified header [fail]! No valid Last-Modified HTTP header was found.INFOValidate Last-Modified headerINFOReading Last-Modified response headerFAILCheck Last-Modified header is present and parseable actual="missing" expected="valid" alternateDates=[]FAILLast-Modified header is missing or invalidValidate structured freshness dates [fail]! No Schema.org freshness dates were found.INFOValidate structured freshness datesINFOCollecting Schema.org freshness dates from JSON-LD, Microdata, and RDFaFAILCheck structured freshness date count actual=0 expected="> 0" invalidDateCount=0 formats={} alternateDates=[]FAILNo structured freshness dates foundValidate metadata freshness dates [fail]! No Open Graph, Dublin Core, or generic meta freshness date was found.INFOValidate metadata freshness datesINFOCollecting Open Graph, Dublin Core, and generic meta freshness datesFAILCheck metadata freshness date count actual=0 expected="> 0" metaDateCount=0 invalidDateCount=0 alternateDates=[]FAILNo metadata freshness dates foundCorroborate with sitemap lastmod [warning]INFOCorroborate with sitemap lastmodINFODiscovering sitemap candidates and matching the scanned page URL candidateCount=1 attempts=1WARNCheck matching sitemap lastmod actual="no match" expected="valid match when available" robotsStatusCode=404WARNNo matching sitemap lastmod found after sitemap attempts attempts=1

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
38/100Level 2, Agent-LimitedCurrent report