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53/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability44%Agent Easeof Use54%Security& Trust65%GEO, AIO, AEO46%SEO92%Performance47%Accessibility86%
  • AI Discoverability 44 out of 100
  • Agent Ease of Use 54 out of 100
  • Security & Trust 65 out of 100
  • GEO, AIO and AEO 46 out of 100
  • SEO 92 out of 100
  • Performance 47 out of 100
  • Accessibility 86 out of 100

CAPTURED SCREENSHOT

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Next step

Turn this report into a fix workflow

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
44
Priority fix1741View details
Discoverability
67
Needs work800
Content Readiness
19
Priority fix831View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
54
Needs work100
API
67
Needs work100
GEO, AIO and AEO
46
Priority fix300
GEO Readiness
Not Applicable
Not Applicable100
AIO Readiness
Not Applicable
Not Applicable100
AEO Readiness
Not Applicable
Not Applicable100
SEO
92
Strong800
SEO
92
Strong800
Security & Trust
65
Needs work1400
Security & Trust
65
Needs work1400
Performance
47
Priority fix1110View details
Performance
47
Priority fix1110View details

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 "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.

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.

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

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

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1 reports
Public score history report links
Scan dateScoreReadinessReport
53/100Level 3, Bot-AwareCurrent report