CanAgentUse

CanAgentUse products

Agentic Browsing AuditCheck dialogs, menus, drawers, popovers, form errors, checkout steps, and other UI states that a standard Lighthouse scan may not capture.View product 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://karakuri.ai/
SCANNED
Jul 10, 2026, 4:05 PM
VISIBILITY
Public
SUITE2026.06.10
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48/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability53%Agent Easeof Use49%Security& Trust66%GEO, AIO, AEO66%SEO100%Performance58%Accessibility0%
  • AI Discoverability 53 out of 100
  • Agent Ease of Use 49 out of 100
  • Security & Trust 66 out of 100
  • GEO, AIO and AEO 66 out of 100
  • SEO 100 out of 100
  • Performance 58 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

AIエージェントで問い合わせ対応と業務を自動化｜KARAKURI favicon

AIエージェントで問い合わせ対応と業務を自動化｜KARAKURI

特許取得済みのAIエージェントを活用し、KARAKURI（カラクリ）は問い合わせ対応と業務を自動化。迅速な応答と業務効率化を両立！

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
53
Needs work2210View details
Discoverability
67
Needs work800
Content Readiness
48
Priority fix1300
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
49
Priority fix210View details
Auth
47
Priority fix100
Google Agentic Browsing
50
Needs work110View details
GEO, AIO and AEO
66
Needs work912View details
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
60
Needs work312View details
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
66
Needs work1500
Security & Trust
66
Needs work1500
Performance
58
Needs work1300
Performance
58
Needs work1300

Prioritized recommendations

Issues ranked by score impact

5 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

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Answer-first passages

AEO: Answer-first passages scored 0/100 and needs a fix.

12 Fail

Needs attention

AEO: Answer-first passages

Failed check
01

Issue

15 section(s) bury or omit a concise opening answer. No direct definition pattern was detected.

Details

02

Why it matters

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

Check name

AEO: Answer-first passages

Score

0/100

Status

fail

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for answer engines and assistants to extract, answer from, and attribute without promising inclusion in any proprietary answer surface.

Result

AEO: Answer-first passages scored 0/100 and needs a fix.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Question and answer structure

AEO: Question and answer structure scored 58/100 and needs improvement.

5 Warning

Needs attention

AEO: Question and answer structure

Warning
01

Issue

No natural question headings were detected.

Details

02

Why it matters

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

Check name

AEO: Question and answer structure

Score

58/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for answer engines and assistants to extract, answer from, and attribute without promising inclusion in any proprietary answer surface.

Result

AEO: Question and answer structure scored 58/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Entity and definition clarity

AEO: Entity and definition clarity scored 63/100 and needs improvement.

4 Warning

Needs attention

AEO: Entity and definition clarity

Warning
01

Issue

Title, h1, description, and opening copy are weakly aligned. No direct definition sentence was detected.

Details

02

Why it matters

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

Check name

AEO: Entity and definition clarity

Score

63/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

Make page content easy for answer engines and assistants to extract, answer from, and attribute without promising inclusion in any proprietary answer surface.

Result

AEO: Entity and definition clarity scored 63/100 and needs improvement.

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

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

1 reports
Public score history report links
Scan dateScoreReadinessReport
48/100Level 2, Agent-LimitedCurrent report