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://madmobile.com/
SCANNED
Jul 14, 2026, 4:02 PM
VISIBILITY
Public
SUITE2026.06.10
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63/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability41%Agent Easeof Use61%Security& Trust65%GEO, AIO, AEO54%SEO92%Performance100%Accessibility83%
  • AI Discoverability 41 out of 100
  • Agent Ease of Use 61 out of 100
  • Security & Trust 65 out of 100
  • GEO, AIO and AEO 54 out of 100
  • SEO 92 out of 100
  • Performance 100 out of 100
  • Accessibility 83 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Mad Mobile | AI-First Commerce Solutions for Retail & Restaurants favicon

Mad Mobile | AI-First Commerce Solutions for Retail & Restaurants

Power your business with AI-driven commerce solutions. Mad Mobile modernizes retail and restaurant operations with mobile-first POS, hardware-agnostic technology that connects you to customers.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
41
Priority fix1610View details
Discoverability
47
Priority fix600
Content Readiness
29
Priority fix900
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
61
Needs work610View details
Agent Commerce
71
Needs work410View details
Google Agentic Browsing
100
Strong200
GEO, AIO and AEO
54
Needs work831View details
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable400
AEO Readiness
34
Priority fix231View details
SEO
92
Strong900
SEO
92
Strong900
Security & Trust
65
Needs work1400
Security & Trust
65
Needs work1400
Performance
100
Strong1800
Performance
100
Strong1800

Prioritized recommendations

Issues ranked by score impact

6 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

Agent Ease of UseAgent CommerceInformational

ACP - Agentic Commerce Protocol

ACP - Agentic Commerce Protocol failed at "Fetch ACP discovery".

37 Fail

Needs attention

ACP - Agentic Commerce Protocol

Failed check
01

Issue

Active ACP support is claimed, but /.well-known/acp.json was not available.

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

63/100

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 "Fetch ACP discovery".

Validation steps

  1. Fetch ACP discovery

    Active ACP support is claimed, but /.well-known/acp.json was not available.

    ACP discovery is missing or not parseable
Evidence log1 step · 5 lines
Fetch ACP discovery [fail]! Active ACP support is claimed, but /.well-known/acp.json was not available.INFOFetch ACP discovery status="fail"INFOFetch canonical ACP discovery /.well-known/acp.json statusCode=404 contentType="text/html" parsed=falseINFOFetch compatibility ACP discovery /.well-known/acp statusCode=404 contentType="text/html" parsed=falseFAILCheck canonical ACP discovery response actual=false expected=true canonicalFound=false compatibilityFound=falseFAILActive ACP support is claimed, but /.well-known/acp.json was not available.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

AEO: Answer-first passages

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

9 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 43/100 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.

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

43/100

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 43/100 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.

5 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: Entity and definition clarity

AEO: Entity and definition clarity scored 70/100 and needs improvement.

3 Warning

Needs attention

AEO: Entity and definition clarity

Warning
01

Issue

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

70/100

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 70/100 and needs improvement.

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Score history