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://interviewing.io/
SCANNED
Jun 10, 2026, 11:11 PM
VISIBILITY
Public
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58/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability35%Agent Easeof Use31%Security& Trust20%GEO, AIO, AEO76%SEO100%Performance70%Accessibility94%
  • AI Discoverability 35 out of 100
  • Agent Ease of Use 31 out of 100
  • Security & Trust 20 out of 100
  • GEO, AIO and AEO 76 out of 100
  • SEO 100 out of 100
  • Performance 70 out of 100
  • Accessibility 94 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Anonymous Coding & Technical Interview Prep for Software Engineers | interviewing.io favicon

Anonymous Coding & Technical Interview Prep for Software Engineers | interviewing.io

Get actionable feedback, get awesome at technical interviews, and get fast-tracked at top companies.

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Next step

Turn this report into a fix workflow

3 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
35
Priority fix600
Discoverability
43
Priority fix300
Content Readiness
30
Priority fix200
Bot Access Control
33
Priority fix100
Agent Ease of Use
31
Priority fix630View details
API
17
Priority fix100
MCP
50
Needs work300
Skill Discovery
25
Priority fix230View details
GEO, AIO and AEO
76
Mostly ready700
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable200
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
20
Priority fix100
Security & Trust
20
Priority fix100
Performance
70
Needs work1300
Performance
70
Needs work1300
Accessibility
94
Strong600
Accessibility
94
Strong600

Prioritized recommendations

Issues ranked by score impact

3 items need attention

Agent Ease of UseSkill DiscoveryEmerging recommendation

Agent Skills index

Agent Skills index failed at "Fetch to find resource".

33 Fail

Needs attention

Agent Skills index

Failed check
01

Issue

Agent Skills index was not found at the expected path.

02

Why it matters

An Agent Skills index lets clients find task-specific SKILL.md documents that describe how to use site capabilities correctly.

Check name

Agent Skills index

Score

0/100

Status

fail

Category

Skill Discovery

Maturity

Emerging recommendation

Goal

Publish an agent skills discovery index.

Result

Agent Skills index failed at "Fetch to find resource".

Validation steps

  1. Fetch to find resource

    Agent Skills index was not found at the expected path.

Agent Ease of UseSkill DiscoveryEmerging recommendation

A2A Agent Card

A2A Agent Card failed at "Validate resource body".

17 Fail

Needs attention

A2A Agent Card

Failed check
01

Issue

Response is not valid JSON.

02

Why it matters

A2A Agent Cards let compatible clients discover agent skills, input and output modes, and the endpoint used to invoke those skills.

Check name

A2A Agent Card

Score

50/100

Status

fail

Category

Skill Discovery

Maturity

Emerging recommendation

Goal

Publish an agent card so A2A-compatible clients can discover capabilities.

Result

A2A Agent Card failed at "Validate resource body".

Validation steps

  1. Validate resource body

    Response is not valid JSON.

Agent Ease of UseSkill DiscoveryEmerging recommendation

agent.json

agent.json failed at "Validate resource body".

17 Fail

Needs attention

agent.json

Failed check
01

Issue

Response is not valid JSON.

02

Why it matters

agent.json is an emerging machine-readable manifest for declaring what a website does, how agents authenticate, and which actions or protocols are available.

Check name

agent.json

Score

50/100

Status

fail

Category

Skill Discovery

Maturity

Emerging recommendation

Goal

Publish the singular Agent Web Protocol agent.json manifest without confusing it with the separate agents.json directory convention.

Result

agent.json failed at "Validate resource body".

Validation steps

  1. Validate resource body

    Response is not valid JSON.

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Fix with MCP or CLI

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Fix with MCP / CLI

Score history