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://drillster.com/en
SCANNED
Jul 9, 2026, 8:02 PM
VISIBILITY
Public
SUITE2026.06.10
Rescan Report
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82/100

OVERALL SCORE

Level 4, Mostly Ready

Good readiness for AI agents
AIDiscoverability83%Agent Easeof Use63%Security& Trust97%GEO, AIO, AEO66%SEO100%Performance95%Accessibility100%
  • AI Discoverability 83 out of 100
  • Agent Ease of Use 63 out of 100
  • Security & Trust 97 out of 100
  • GEO, AIO and AEO 66 out of 100
  • SEO 100 out of 100
  • Performance 95 out of 100
  • Accessibility 100 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Drillster - Reliable Competence Over Time favicon

Drillster - Reliable Competence Over Time

Drillster is an adaptive learning app that keeps critical competences reliable over time, so people perform correctly when it counts.

Open Agent View
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
83
Mostly ready4010View details
Discoverability
100
Strong1000
Content Readiness
90
Strong2710View details
Bot Access Control
63
Needs work300
Agent Ease of Use
63
Needs work1000
API
66
Needs work600
Skill Discovery
54
Needs work100
Google Agentic Browsing
100
Strong300
GEO, AIO and AEO
66
Needs work913View details
GEO Readiness
52
Needs work213View details
AIO Readiness
Not Applicable
Not Applicable400
AEO Readiness
Not Applicable
Not Applicable300
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
97
Strong2700
Security & Trust
97
Strong2700
Performance
95
Strong1510View details
Performance
95
Strong1510View details

Prioritized recommendations

Issues ranked by score impact

6 items need attention

AI DiscoverabilityContent ReadinessEstablished

Markdown negotiation

Markdown negotiation is partially implemented.

22 Warning

Needs attention

Markdown negotiation

Warning
01

Issue

Markdown negotiation is missing or incomplete.

Details

02

Why it matters

Markdown representations give agents a cleaner page form while preserving normal HTML for browsers and cache-safe representation handling.

Check name

Markdown negotiation

Score

78/100

Status

warning

Category

Content Readiness

Maturity

Established

Goal

Expose a useful Markdown representation through negotiation or an explicit alternate URL.

Result

Markdown negotiation is partially implemented.

Validation steps

  1. Advertised Markdown alternate

    Advertise dedicated Markdown URLs with Link: <url>; rel="alternate"; type="text/markdown" or an HTML link rel=alternate tag.

    Advertised Markdown alternate is missing or invalid

  2. Conventional .md mirror

    If a .md mirror is intentional, advertise it with rel=alternate and type=text/markdown.

Evidence log2 steps · 6 lines
Advertised Markdown alternate [fail]INFOAdvertised Markdown alternateFAILCheck advertised Markdown alternate candidates actual=1 expected="> 0 when HTML advertises a Markdown alternate" advertisedUrls=["https://drillster.com/en/llm/markdown"] candidateCount=0FAILAdvertised Markdown alternate failed Conventional .md mirror [informational]INFOConventional .md mirrorINFOCheck conventional Markdown mirror candidates actual=0 expected="> 0 when a conventional mirror is discoverable" conventionalUrls=[] candidateCount=0PASSConventional .md mirror recorded for context status="informational"

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Citable passages

GEO: Citable passages scored 0/100 and needs a fix.

9 Fail

Needs attention

GEO: Citable passages

Failed check
01

Issue

No evidence-backed, citation-length explanatory paragraph was found.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Citable passages

Score

0/100

Status

fail

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

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

Result

GEO: Citable passages scored 0/100 and needs a fix.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Source and trust signals

GEO: Source and trust signals scored 67/100 and needs improvement.

3 Warning

Needs attention

GEO: Source and trust signals

Warning
01

Issue

Missing source or trust signals: freshnessDate, sourceLinks.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Source and trust signals

Score

67/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

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

Result

GEO: Source and trust signals scored 67/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Entity clarity

GEO: Entity clarity scored 88/100 and needs improvement.

1 Warning

Needs attention

GEO: Entity clarity

Warning
01

Issue

Title/H1 terms missing from description: competence, teams, afford, forget.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Entity clarity

Score

88/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

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

Result

GEO: Entity clarity scored 88/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Structured extraction

GEO: Structured extraction scored 88/100 and needs improvement.

1 Warning

Needs attention

GEO: Structured extraction

Warning
01

Issue

Missing or weak extraction signals: summary or key takeaways.

Details

02

Why it matters

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Check name

GEO: Structured extraction

Score

88/100

Status

warning

Category

GEO, AIO & AEO

Maturity

Emerging recommendation

Goal

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

Result

GEO: Structured extraction scored 88/100 and needs improvement.

PerformancePerformanceBrowser audit

Legacy JavaScript

100 Fail

Check name

Legacy JavaScript

Score

0/100

Status

fail

Device

desktop

Category

Performance

Estimated savings

Est savings of 14 KiB

Fix guidance

Polyfills and transforms enable older browsers to use new JavaScript features. However, many aren't necessary for modern browsers. Consider modifying your JavaScript build process to not transpile [Baseline](https://web.dev/articles/baseline-and-polyfills) features, unless you know you must support older browsers. [Learn why most sites can deploy ES6+ code without transpiling](https://developer.chrome.com/docs/performance/insights/legacy-javascript)

Evidence
{
  "displayValue": "Est savings of 14 KiB",
  "description": "Polyfills and transforms enable older browsers to use new JavaScript features. However, many aren't necessary for modern browsers. Consider modifying your JavaScript build process to not transpile [Baseline](https://web.dev/articles/baseline-and-polyfills) features, unless you know you must support older browsers. [Learn why most sites can deploy ES6+ code without transpiling](https://developer.chrome.com/docs/performance/insights/legacy-javascript)"
}

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Fix with MCP or CLI

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Fix with MCP / CLI

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
82/100Level 4, Mostly ReadyCurrent report