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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 2, 2026, 7:50 PM
VISIBILITY
Public
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46/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability40%Agent Easeof Use57%Security& Trust45%GEO, AIO, AEO47%SEO100%Performance99%Accessibility0%
  • AI Discoverability 40 out of 100
  • Agent Ease of Use 57 out of 100
  • Security & Trust 45 out of 100
  • GEO, AIO and AEO 47 out of 100
  • SEO 100 out of 100
  • Performance 99 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Ruby on Rails: Accelerate your agents with convention over configuration favicon

Ruby on Rails: Accelerate your agents with convention over configuration

A full-stack web application framework written in Ruby, following the Model View Controller pattern, that includes everything you need to build modern database-backed web apps.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
40
Priority fix1941View details
Discoverability
47
Priority fix600
Content Readiness
27
Priority fix1231View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
57
Needs work300
Auth
43
Priority fix100
Google Agentic Browsing
100
Strong200
GEO, AIO and AEO
47
Priority fix600
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable100
AEO Readiness
Not Applicable
Not Applicable200
SEO
100
Strong900
SEO
100
Strong900
Security & Trust
45
Priority fix700
Security & Trust
45
Priority fix700
Performance
99
Strong1700
Performance
99
Strong1700
Accessibility
0
Priority fix010View details
Accessibility
0
Priority fix010View details

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

95 Fail

Needs attention

Author attribution

Failed check
01

Issue

Applicable editorial content has no usable author, creator, publisher, visible byline, or HTML attribution signal.

Details

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

5/100

Status

fail

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

    Editorial content has no Schema.org author, creator, or publisher attribution.

    Schema.org author attribution is missing or incomplete
  2. Author identity quality

    No named author or publisher identity could be extracted.

    Author identity quality is incomplete
  3. Visible byline parity

    Structured author/publisher names were not found in visible byline text.

    Author attribution does not match visible byline content
  4. HTML attribution support

    No supporting HTML author metadata, rel=author link, or visible byline was found.

    HTML author attribution support is missing
Evidence log4 steps · 16 lines
Schema.org attribution [fail]! Editorial content has no Schema.org author, creator, or publisher attribution.INFOSchema.org attributionINFOChecking structured data for author, creator, and publisher contributorsFAILCheck named Schema.org author count actual=0 expected="> 0" authorCount=0 publisherCount=0 namedContributors=0 authors=[] publishers=[] formats=[]FAILNo Schema.org author, creator, or publisher attribution foundAuthor 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 extractedVisible byline parity [fail]! Structured author/publisher names were not found in visible byline text.INFOVisible byline parityINFOComparing structured contributor names with visible byline evidenceFAILCheck visible attribution matches actual=0 expected="> 0 or visible byline present" visibleByline=false bylineCount=0FAILNo visible byline parity foundHTML attribution support [warning]! No supporting HTML author metadata, rel=author link, or visible byline was found.INFOHTML attribution supportINFOChecking meta author, rel=author, and visible byline supportWARNCheck HTML attribution support signals actual=0 expected="> 0" metaAuthor=false relAuthor=false visibleByline=falseWARNNo supporting HTML attribution signal found

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=0 unspecified=21

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": "__name is not defined"
}

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Score history

Public scan score over time

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1 reports
Public score history report links
Scan dateScoreReadinessReport
46/100Level 2, Agent-LimitedCurrent report