CanAgentUse

CanAgentUse products

MCP ServerInstall CanAgentUse in your coding agent so scan findings become repo-ready fixes.View product WooCommerce PluginPublish UCP discovery and agent-ready commerce signals from WooCommerce without rebuilding checkout.View product Shopify PluginAdd UCP discovery, storefront metadata checks, and controlled cart-to-checkout flows for shopping agents.View product AgentReady CIScan commits and PRs, publish reports, and choose which agent-readiness failures should block merges.View product

CanAgentUse tools

UCP Suite

Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

UCP ValidatorUCP Playground

MCP Playground

Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

MCP Playground

A2A Playground

Inspect Agent Cards, validate advertised endpoints, and prepare safe requests for agent-to-agent workflows.

A2A Playground

Agent Website Viewer

Enter a public URL and see the roles, names, landmarks, controls, and blockers that shape how AI agents understand the page.

Agent Website Viewer
New Scan
https://clickhouse.com/
SCANNED
Jul 5, 2026, 5:20 AM
VISIBILITY
Public
SUITE2026.06.10
Rescan Report
Share Report
Copy Report Link
Export Report
68/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability56%Agent Easeof Use65%Security& Trust86%GEO, AIO, AEO68%SEO100%Performance54%Accessibility86%
  • AI Discoverability 56 out of 100
  • Agent Ease of Use 65 out of 100
  • Security & Trust 86 out of 100
  • GEO, AIO and AEO 68 out of 100
  • SEO 100 out of 100
  • Performance 54 out of 100
  • Accessibility 86 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Fast Open-Source OLAP DBMS | ClickHouse favicon

Fast Open-Source OLAP DBMS | ClickHouse

ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries

Open Agent View

Next step

Turn this report into a fix workflow

2 failed checks are 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
56
Needs work3021View details
Discoverability
67
Needs work800
Content Readiness
59
Needs work2111View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
65
Needs work2010View details
API
75
Mostly ready1200
Skill Discovery
58
Needs work510View details
Google Agentic Browsing
98
Strong300
GEO, AIO and AEO
68
Needs work1100
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable500
AEO Readiness
Not Applicable
Not Applicable300
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
86
Mostly ready2100
Security & Trust
86
Mostly ready2100
Performance
54
Needs work1400
Performance
54
Needs work1400

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=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

Agent Ease of UseSkill DiscoveryEmerging recommendation

Agent Skills index

Agent Skills index failed at "Verify advertised artifacts".

20 Fail

Needs attention

Agent Skills index

Failed check
01

Issue

One or more advertised skill artifacts could not be fetched or failed raw-byte digest verification.

Details

02

Why it matters

An Agent Skills index lets agents discover task-specific instructions through a small trusted index, then verify and load only the skill artifacts they need.

Check name

Agent Skills index

Score

80/100

Status

fail

Category

Skill Discovery

Maturity

Emerging recommendation

Goal

Publish an Agent Skills discovery index that advertises digest-pinned SKILL.md or archive artifacts.

Result

Agent Skills index failed at "Verify advertised artifacts".

Validation steps

  1. Verify advertised artifacts

    One or more advertised skill artifacts could not be fetched or failed raw-byte digest verification.

    Advertised skill artifacts could not be verified
    Artifact verification failures
    [
  {
    "index": 0,
    "name": "clickhouse-best-practices",
    "type": "skill-md",
    "url": "https://clickhouse.com/docs/.well-known/agent-skills/clickhouse-best-practices/skill.md",
    "originClass": "same-origin",
    "statusCode": 404,
    "contentType": "text/html; charset=utf-8",
    "byteLength": 28158,
    "advertisedDigest": "sha256:dd00da0f0b653994e3c6a2bcb2ce7d6b0009c1fb553954a0da3ac365744d37b5",
    "actualDigest": "sha256:22de85a6c79ffd1c853da0cd72691d689c7cd77e444c7c12e51c25b5bb39871f",
    "digestMatches": false
  }
]
Evidence log1 step · 4 lines
Verify advertised artifacts [fail]! One or more advertised skill artifacts could not be fetched or failed raw-byte digest verification.INFOVerify advertised artifactsFAILCompare artifact fetch count actual=1 expected=1FAILArtifact fetch or digest verification failed name="clickhouse-best-practices" type="skill-md" url="https://clickhouse.com/docs/.well-known/agent-skills/clickhouse-best-practices/skill.md" statusCode=404 byteLength=28158 advertisedDigest="sha256:dd00da0f0b653994e3c6a2bcb2ce7d6b0009c1fb553954a0da3ac365744d37b5" actualDigest="sha256:22de85a6c79ffd1c853da0cd72691d689c7cd77e444c7c12e51c25b5bb39871f"FAILOne or more advertised skill artifacts could not be fetched or failed raw-byte digest verification.

Sign in to see 39 other issues and the full report

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

Email code

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

Public scan score over time

Public reports for this website origin. Select any point or report link to open that canonical report.

2 reports
Public score history report links
Scan dateScoreReadinessReport
50/100Level 3, Bot-AwareView report
68/100Level 3, Bot-AwareCurrent report