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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 8, 2026, 12:10 AM
VISIBILITY
Public
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63/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability58%Agent Easeof Use65%Security& Trust46%GEO, AIO, AEO71%SEO85%Performance67%Accessibility72%
  • AI Discoverability 58 out of 100
  • Agent Ease of Use 65 out of 100
  • Security & Trust 46 out of 100
  • GEO, AIO and AEO 71 out of 100
  • SEO 85 out of 100
  • Performance 67 out of 100
  • Accessibility 72 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

DaVinci Commerce | AI Commerce Experience Platform favicon

DaVinci Commerce | AI Commerce Experience Platform

DaVinci Commerce powers how brands create, activate, and experience commerce with agentic AI across retail media, digital channels, and LLMs. Free trial available.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
58
Needs work3221View details
Discoverability
67
Needs work800
Content Readiness
65
Needs work2311View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
65
Needs work711View details
API
67
Needs work100
Agent Commerce
76
Mostly ready411View details
Google Agentic Browsing
100
Strong200
GEO, AIO and AEO
71
Needs work1100
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable500
AEO Readiness
Not Applicable
Not Applicable300
SEO
85
Mostly ready800
SEO
85
Mostly ready800
Security & Trust
46
Priority fix800
Security & Trust
46
Priority fix800
Performance
67
Needs work1600
Performance
67
Needs work1600

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 "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

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.

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

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.

    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
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=1 namedContributors=0 authors=[] publishers=[{"role":"publisher","id":"https://davincicommerce.ai/#organization","sameAs":[],"format":"json-ld","mergedName":false}] formats=["json-ld"]WARNSchema.org attribution is incomplete or fallback-only authorCount=0 publisherCount=1 authors=[] publishers=[{"role":"publisher","id":"https://davincicommerce.ai/#organization","sameAs":[],"format":"json-ld","mergedName":false}]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=[{"role":"publisher","id":"https://davincicommerce.ai/#organization","sameAs":[],"format":"json-ld","mergedName":false}]FAILNo named contributor identity could be extracted

Agent Ease of UseAgent CommerceInformational

ACP - Agentic Commerce Protocol

ACP - Agentic Commerce Protocol failed at "Review ACP cache and retry metadata".

28 Fail

Needs attention

ACP - Agentic Commerce Protocol

Failed check
01

Issue

ACP discovery returned 429 or 503 without Retry-After.

Details

02

Why it matters

ACP discovery lets agents find the seller's ACP API base URL, supported versions, transports, and stable services before attempting authenticated checkout-session negotiation.

Check name

ACP - Agentic Commerce Protocol

Score

72/100

Status

fail

Category

Agent Commerce

Maturity

Informational

Goal

Expose valid ACP discovery when this origin supports Agentic Commerce Protocol workflows.

Result

ACP - Agentic Commerce Protocol failed at "Review ACP cache and retry metadata".

Validation steps

  1. Fetch ACP discovery

    ACP-like signals were found, but /.well-known/acp.json was not available.

    ACP discovery is missing or not parseable
  2. Review ACP cache and retry metadata

    ACP discovery returned 429 or 503 without Retry-After.

    ACP discovery cache or retry metadata needs review
Evidence log2 steps · 10 lines
Fetch ACP discovery [warning]! ACP-like signals were found, but /.well-known/acp.json was not available.INFOFetch ACP discovery status="warning"INFOFetch canonical ACP discovery /.well-known/acp.json statusCode=429 contentType="text/html; charset=UTF-8" parsed=falseINFOFetch compatibility ACP discovery /.well-known/acp statusCode=429 contentType="text/html; charset=UTF-8" parsed=falseWARNCheck canonical ACP discovery response actual=false expected=true canonicalFound=false compatibilityFound=falseWARNACP-like signals were found, but /.well-known/acp.json was not available.Review ACP cache and retry metadata [fail]! ACP discovery returned 429 or 503 without Retry-After.INFOReview ACP cache and retry metadata status="fail"INFOInspect ACP discovery cache headers and retry guidance statusCode=429 cacheControl=null retryAfter=nullFAILCheck Cache-Control header on successful discovery actual="missing" expected="present for cacheable public discovery"FAILCheck Retry-After on rate-limit or unavailable responses actual="not required" expected="present only for 429 or 503"FAILACP discovery returned 429 or 503 without Retry-After.

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Score history

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Scan dateScoreReadinessReport
63/100Level 3, Bot-AwareCurrent report