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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 15, 2026, 10:09 AM
VISIBILITY
Public
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69/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability61%Agent Easeof Use59%Security& Trust86%GEO, AIO, AEO66%SEO100%Performance91%Accessibility66%
  • AI Discoverability 61 out of 100
  • Agent Ease of Use 59 out of 100
  • Security & Trust 86 out of 100
  • GEO, AIO and AEO 66 out of 100
  • SEO 100 out of 100
  • Performance 91 out of 100
  • Accessibility 66 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
61
Needs work3341View details
Discoverability
67
Needs work800
Content Readiness
74
Needs work2431View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
59
Needs work300
Google Agentic Browsing
100
Strong300
GEO, AIO and AEO
66
Needs work912View details
GEO Readiness
61
Needs work312View details
AIO Readiness
Not Applicable
Not Applicable400
AEO Readiness
Not Applicable
Not Applicable200
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
86
Mostly ready2300
Security & Trust
86
Mostly ready2300
Performance
91
Strong1600
Performance
91
Strong1600

Prioritized recommendations

Issues ranked by score impact

5 items need attention

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="invalid match" expected="valid match when available" sitemapUrl="https://canadianwebhosting.com/sitemap.xml" robotsStatusCode=200WARNNo matching sitemap lastmod found after sitemap attempts attempts=1

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.

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

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 75/100 and needs improvement.

3 Warning

Needs attention

GEO: Structured extraction

Warning
01

Issue

Missing or weak extraction signals: summary or key takeaways, FAQ or question-answer section where appropriate.

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

75/100

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 75/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Source and trust signals

GEO: Source and trust signals scored 83/100 and needs improvement.

2 Warning

Needs attention

GEO: Source and trust signals

Warning
01

Issue

Missing source or trust signals: freshnessDate.

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: Source and trust signals

Score

83/100

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: Source and trust signals scored 83/100 and needs improvement.

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Score history