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://www.paidui.com/
SCANNED
Jul 30, 2026, 6:47 PM
VISIBILITY
Public
SUITE2026.06.10
Rescan Report
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41/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability42%Agent Easeof Use50%Security& Trust54%GEO, AIO, AEO38%SEO92%Performance69%Accessibility0%
  • AI Discoverability 42 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 54 out of 100
  • GEO, AIO and AEO 38 out of 100
  • SEO 92 out of 100
  • Performance 69 out of 100
  • Accessibility 0 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

排队网官方网站-零售,餐饮SaaS,超市收银系统,便利店收银系统,小程序扫码点餐,会员营销,排队叫号,点餐机,收银机,AI秤 favicon

排队网官方网站-零售,餐饮SaaS,超市收银系统,便利店收银系统,小程序扫码点餐,会员营销,排队叫号,点餐机,收银机,AI秤

深圳排队网络技术有限公司官方网站。排队网成立于2011年11月，是一家聚焦于餐饮、零售行业数字化领域的知名标准化收银软硬件提供商。致力于为全球大中小型餐饮、零售业态商户提供门店收银整体解决方案及增值服务。业务覆盖全国360个地级市，累计服务40万商家、2000家代理商。未来，排队网将秉承“AI数智，赋能商家经营新纪元”的使命，诚信拼搏，携手合作伙伴共同掘金餐饮零售信息化蓝海。

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
42
Priority fix1310View details
Discoverability
67
Needs work800
Content Readiness
13
Priority fix400
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
50
Needs work110View details
Google Agentic Browsing
50
Needs work110View details
GEO, AIO and AEO
38
Priority fix432View details
GEO Readiness
Not Applicable
Not Applicable100
AIO Readiness
Not Applicable
Not Applicable200
AEO Readiness
26
Priority fix132View details
SEO
92
Strong800
SEO
92
Strong800
Security & Trust
54
Needs work1000
Security & Trust
54
Needs work1000
Performance
69
Needs work1300
Performance
69
Needs work1300

Prioritized recommendations

Issues ranked by score impact

7 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.

7 Fail

Needs attention

AEO: Answer-first passages

Failed check
01

Issue

7 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: Evidence and trust

AEO: Evidence and trust scored 29/100 and needs a fix.

5 Fail

Needs attention

AEO: Evidence and trust

Failed check
01

Issue

Missing answer evidence or trust signals: author, publisher, freshnessDate, sameAs, policyLinks.

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: Evidence and trust

Score

29/100

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: Evidence and trust scored 29/100 and needs a fix.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Question and answer structure

AEO: Question and answer structure scored 47/100 and needs a fix.

4 Fail

Needs attention

AEO: Question and answer structure

Failed check
01

Issue

No natural question headings were detected. No visible FAQ or Q&A pattern was detected. Heading structure issues 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

47/100

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: Question and answer structure scored 47/100 and needs a fix.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Extractable visible copy

AEO: Extractable visible copy scored 56/100 and needs improvement.

3 Warning

Needs attention

AEO: Extractable visible copy

Warning
01

Issue

Only 87 visible words were detected for answer extraction. Visible text has few answer-oriented terms or explanatory markers.

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: Extractable visible copy

Score

56/100

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: Extractable visible copy scored 56/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Entity and definition clarity

AEO: Entity and definition clarity scored 62/100 and needs improvement.

3 Warning

Needs attention

AEO: Entity and definition clarity

Warning
01

Issue

Expected exactly one h1, found 0. 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

62/100

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 62/100 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](https://developer.chrome.com/docs/lighthouse/agentic-browsing/accessibility-for-agents) helps AI agents to navigate and interact with the page.

Evidence
{
  "description": "A well-formed [accessibility tree](https://developer.chrome.com/docs/lighthouse/agentic-browsing/accessibility-for-agents) helps AI agents to navigate and interact with the page."
}

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Score history