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://www.braze.com/
SCANNED
Jul 5, 2026, 3:59 AM
VISIBILITY
Public
SUITE2026.06.10
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53/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability49%Agent Easeof Use55%Security& Trust55%GEO, AIO, AEO58%SEO85%Performance38%Accessibility57%
  • AI Discoverability 49 out of 100
  • Agent Ease of Use 55 out of 100
  • Security & Trust 55 out of 100
  • GEO, AIO and AEO 58 out of 100
  • SEO 85 out of 100
  • Performance 38 out of 100
  • Accessibility 57 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Braze Customer Engagement Platform favicon

Braze Customer Engagement Platform

Power customer-centric interactions between consumers and brands in real-time.

Open Agent View

Next step

Turn this report into a fix workflow

1 failed check is 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.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
49
Priority fix2410View details
Discoverability
67
Needs work800
Content Readiness
37
Priority fix1500
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
55
Needs work410View details
API
67
Needs work100
Agent Commerce
79
Mostly ready200
Google Agentic Browsing
34
Priority fix110View details
GEO, AIO and AEO
58
Needs work700
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable200
SEO
85
Mostly ready800
SEO
85
Mostly ready800
Security & Trust
55
Needs work1100
Security & Trust
55
Needs work1100
Performance
38
Priority fix1110View details
Performance
38
Priority fix1110View details

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

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."
}

PerformancePerformanceBrowser audit

Avoid large layout shifts

100 Fail

Check name

Avoid large layout shifts

Score

0/100

Status

fail

Device

desktop

Category

Performance

Estimated savings

2 layout shifts found

Fix guidance

These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)

Evidence
{
  "displayValue": "2 layout shifts found",
  "description": "These are the largest layout shifts observed on the page. Each table item represents a single layout shift, and shows the element that shifted the most. Below each item are possible root causes that led to the layout shift. Some of these layout shifts may not be included in the CLS metric value due to [windowing](https://web.dev/articles/cls#what_is_cls). [Learn how to improve CLS](https://web.dev/articles/optimize-cls)"
}

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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
53/100Level 3, Bot-AwareCurrent report