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.floqapp.com/
SCANNED
Jul 7, 2026, 2:26 AM
VISIBILITY
Public
SUITE2026.06.10
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71/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability56%Agent Easeof Use51%Security& Trust93%GEO, AIO, AEO74%SEO92%Performance80%Accessibility100%
  • AI Discoverability 56 out of 100
  • Agent Ease of Use 51 out of 100
  • Security & Trust 93 out of 100
  • GEO, AIO and AEO 74 out of 100
  • SEO 92 out of 100
  • Performance 80 out of 100
  • Accessibility 100 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Australian Survey & Benchmarking Platform favicon

Australian Survey & Benchmarking Platform

Track customer satisfaction, UX, and behavioral insights with Floqapp. The accessible survey and comparative benchmarking platform for Australian startups.

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Next step

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
56
Needs work2610View details
Discoverability
67
Needs work800
Content Readiness
59
Needs work1700
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
51
Needs work200
Auth
48
Priority fix100
Google Agentic Browsing
61
Needs work100
GEO, AIO and AEO
74
Needs work1212View details
GEO Readiness
61
Needs work312View details
AIO Readiness
Not Applicable
Not Applicable500
AEO Readiness
Not Applicable
Not Applicable400
SEO
92
Strong900
SEO
92
Strong900
Security & Trust
93
Strong2400
Security & Trust
93
Strong2400
Performance
80
Mostly ready1810View details
Performance
80
Mostly ready1810View details

Prioritized recommendations

Issues ranked by score impact

5 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

GEO: Citable passages

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

12 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: Structured extraction

GEO: Structured extraction scored 63/100 and needs improvement.

4 Warning

Needs attention

GEO: Structured extraction

Warning
01

Issue

Missing or weak extraction signals: clean heading hierarchy, summary or key takeaways, FAQ or question-answer section where appropriate.

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

63/100

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 63/100 and needs improvement.

GEO, AIO and AEOGEO, AIO & AEOEmerging recommendation

GEO: Source and trust signals

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

4 Warning

Needs attention

GEO: Source and trust signals

Warning
01

Issue

Missing source or trust signals: freshnessDate, entityLinks.

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.

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

3 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": "3 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
71/100Level 3, Bot-AwareCurrent report