CanAgentUse tools

UCP Suite

Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

MCP Playground

Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

A2A Playground

Inspect Agent Cards, validate advertised endpoints, and prepare safe requests for agent-to-agent workflows.

Agent Website Viewer

Enter a public URL and see the roles, names, landmarks, controls, and blockers that shape how AI agents understand the page.

SCANNED
Jun 19, 2026, 10:06 AM
VISIBILITY
Public
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46/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability21%Agent Easeof Use50%Security& Trust55%GEO, AIO, AEO36%SEO100%Performance98%Accessibility86%
  • AI Discoverability 21 out of 100
  • Agent Ease of Use 50 out of 100
  • Security & Trust 55 out of 100
  • GEO, AIO and AEO 36 out of 100
  • SEO 100 out of 100
  • Performance 98 out of 100
  • Accessibility 86 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

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RSSHub

Everything is RSSible 🧡

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
21
Priority fix963View details
Discoverability
7
Priority fix100
Content Readiness
10
Priority fix731View details
Bot Access Control
40
Priority fix132View details
GEO, AIO and AEO
36
Priority fix400
AIO Readiness
Not Applicable
Not Applicable200
AEO Readiness
Not Applicable
Not Applicable200
SEO
100
Strong800
SEO
100
Strong800
Security & Trust
55
Needs work1100
Security & Trust
55
Needs work1100
Performance
98
Strong2000
Performance
98
Strong2000

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

95 Fail

Needs attention

Author attribution

Failed check
01

Issue

Applicable editorial content has no usable author, creator, publisher, visible byline, or HTML attribution signal.

02

Why it matters

Author attribution helps agents cite content responsibly, assess source credibility, and distinguish editorial pages from anonymous marketing copy.

Check name

Author attribution

Score

5/100

Status

fail

Category

Content Readiness

Maturity

Established

Goal

Identify content authors or publishers for trust and attribution.

Result

Author attribution is partially implemented.

Validation steps

  1. Schema.org attribution

    Editorial content has no Schema.org author, creator, or publisher attribution.

  2. Author identity quality

    No named author or publisher identity could be extracted.

  3. Visible byline parity

    Structured author/publisher names were not found in visible byline text.

  4. HTML attribution support

    No supporting HTML author metadata, rel=author link, or visible byline was found.

Evidence log4 steps · 16 lines
Schema.org attribution [fail]! Editorial content has no Schema.org author, creator, or publisher attribution.INFOSchema.org attributionINFOChecking structured data for author, creator, and publisher contributorsFAILCheck named Schema.org author count actual=0 expected="> 0" authorCount=0 publisherCount=0 namedContributors=0 authors=[] publishers=[] formats=[]FAILNo Schema.org author, creator, or publisher attribution foundAuthor identity quality [fail]! No named author or publisher identity could be extracted.INFOAuthor identity qualityINFOChecking contributors for stable identity signalsFAILCheck identified contributor count actual=0 expected="> 0" namedContributors=0 identifiedContributors=[] unidentifiedContributors=[]FAILNo named contributor identity could be extractedVisible byline parity [fail]! Structured author/publisher names were not found in visible byline text.INFOVisible byline parityINFOComparing structured contributor names with visible byline evidenceFAILCheck visible attribution matches actual=0 expected="> 0 or visible byline present" visibleByline=false bylineCount=0FAILNo visible byline parity foundHTML attribution support [warning]! No supporting HTML author metadata, rel=author link, or visible byline was found.INFOHTML attribution supportINFOChecking meta author, rel=author, and visible byline supportWARNCheck HTML attribution support signals actual=0 expected="> 0" metaAuthor=false relAuthor=false visibleByline=falseWARNNo supporting HTML attribution signal found

AI DiscoverabilityBot Access ControlEstablished

AI bot rules in robots.txt

AI bot rules in robots.txt failed at "Fetch robots.txt".

50 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

No robots.txt content was available to inspect for AI bot rules.

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

0/100

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 "Fetch robots.txt".

Validation steps

  1. Fetch robots.txt

    No robots.txt content was available to inspect for AI bot rules.

  2. Classify AI crawler rules

    No explicit User-agent rules were found for major AI crawler tokens.

Evidence log2 steps · 10 lines
Fetch robots.txt [fail]! No robots.txt content was available to inspect for AI bot rules.INFOFetch robots.txtINFORequesting /robots.txt from the site originFAILCheck whether robots.txt content is available actual="no content" expected="content returned" length=0FAILNo robots.txt content was available to inspect for AI bot rules.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=0 unspecified=21

AI DiscoverabilityBot Access ControlEmerging recommendation

ai.txt policy

ai.txt policy failed at "Fetch /ai.txt".

25 Fail

Needs attention

ai.txt policy

Failed check
01

Issue

/ai.txt returned HTTP 403.

02

Why it matters

ai.txt is a fragmented emerging convention. It can communicate human-readable AI crawling, training, attribution, restriction, and contact guidance, but it is not a standard access-control mechanism and absence should not be penalized.

Check name

ai.txt policy

Score

50/100

Status

fail

Category

Bot Access Control

Maturity

Emerging recommendation

Goal

Publish an advisory human-readable AI usage policy only when the site intentionally needs one.

Result

ai.txt policy failed at "Fetch /ai.txt".

Validation steps

  1. Fetch /ai.txt

    /ai.txt returned HTTP 403.

  2. Parse ai.txt policy

    ai.txt is present but does not follow the AI Visibility section model.

  3. Validate policy content

    ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

Evidence log3 steps · 14 lines
Fetch /ai.txt [fail]! /ai.txt returned HTTP 403.INFOFetch /ai.txtINFORequesting optional advisory policy file at /ai.txtFAILCompare /ai.txt HTTP response actual=403 expected="2xx when ai.txt is intentionally published; 404/410 means absent optional file" contentType="text/plain" length=386FAIL/ai.txt returned HTTP 403. statusCode=403Parse ai.txt policy [warning]! ai.txt is present but does not follow the AI Visibility section model.INFOParse ai.txt policyINFODetecting ai.txt convention from bracket sections, frontmatter, headings, and ai.txt context linksINFODetected policy structure convention="unknown-text" sections=[] markdownHeadings=[]WARNCheck AI Visibility required sections actual="missing identity, permissions, restrictions" expected="identity, permissions, and restrictions" missingRecommended=["attribution","contact","content-types"]WARNai.txt is present but does not follow the AI Visibility section model.Validate policy content [warning]! ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.INFOValidate policy contentINFOChecking required section content, permission/restriction language, attribution, contact details, and safety risks convention="unknown-text"INFODetected policy signals hasPermissionLanguage=false hasRestrictionLanguage=true hasTrainingLanguage=false hasAttributionLanguage=true hasContact=falseWARNCheck required and recommended section coverage actual={"missingRequired":["identity","permissions","restrictions"],"missingRecommended":["attribution","contact","content-types"]} expected={"missingRequired":[],"recommendedPresentWhenPossible":true}WARNai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

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Score history

docs.rsshub.app AI Agent Readiness Report: 46/100 (Level 2, Agent-Limited)