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SCANNED
Jul 4, 2026, 2:21 PM
VISIBILITY
Public
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63/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability51%Agent Easeof Use56%Security& Trust46%GEO, AIO, AEO72%SEO100%Performance59%Accessibility100%
  • AI Discoverability 51 out of 100
  • Agent Ease of Use 56 out of 100
  • Security & Trust 46 out of 100
  • GEO, AIO and AEO 72 out of 100
  • SEO 100 out of 100
  • Performance 59 out of 100
  • Accessibility 100 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

Home | Quinnipiac University favicon

Home | Quinnipiac University

We are a private, coeducational university where students can get a personal, challenging educational experience from faculty who care deeply about student outcomes.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
51
Needs work2643View details
Discoverability
67
Needs work800
Content Readiness
44
Priority fix1733View details
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
56
Needs work300
API
67
Needs work100
Google Agentic Browsing
67
Needs work200
GEO, AIO and AEO
72
Needs work1100
GEO Readiness
Not Applicable
Not Applicable300
AIO Readiness
Not Applicable
Not Applicable400
AEO Readiness
Not Applicable
Not Applicable400
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
46
Priority fix800
Security & Trust
46
Priority fix800
Performance
59
Needs work1000
Performance
59
Needs work1000

Prioritized recommendations

Issues ranked by score impact

3 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

AI DiscoverabilityContent ReadinessEstablished

Author attribution

Author attribution is partially implemented.

38 Warning

Needs attention

Author attribution

Warning
01

Issue

No named author or publisher identity could be extracted.

Details

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

25/100

Status

warning

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

    Schema.org attribution is incomplete or relies only on publisher/fallback evidence.

    Schema.org author attribution is missing or incomplete
  2. Author identity quality

    No named author or publisher identity could be extracted.

    Author identity quality is incomplete
  3. Visible byline parity

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

    Author attribution does not match visible byline content
  4. HTML attribution support

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

    HTML author attribution support is missing
Evidence log4 steps · 16 lines
Schema.org attribution [warning]! Schema.org attribution is incomplete or relies only on publisher/fallback evidence.INFOSchema.org attributionINFOChecking structured data for author, creator, and publisher contributorsWARNCheck named Schema.org author count actual=0 expected="> 0" authorCount=0 publisherCount=2 namedContributors=0 authors=[] publishers=[{"role":"publisher","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false},{"role":"publisher","type":"Organization","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false}] formats=["json-ld"]WARNSchema.org attribution is incomplete or fallback-only authorCount=0 publisherCount=2 authors=[] publishers=[{"role":"publisher","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false},{"role":"publisher","type":"Organization","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false}]Author 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=[{"role":"publisher","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false},{"role":"publisher","type":"Organization","id":"https://www.qu.edu/#organization","sameAs":[],"format":"json-ld","mergedName":false}]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 DiscoverabilityContent ReadinessEstablished

Content freshness signals

Content freshness signals is missing or incomplete.

25 Fail

Needs attention

Content freshness signals

Failed check
01

Issue

Content freshness signals are invalid: open-graph article:published_time is not a parseable date (05/23/2020 18:16:25 PM)..

Details

02

Why it matters

Freshness signals help agents, crawlers, and search systems decide whether content is current enough to cite, summarize, cache, or compare against newer sources.

Check name

Content freshness signals

Score

50/100

Status

fail

Category

Content Readiness

Maturity

Established

Goal

Expose modified and published dates for freshness-aware retrieval, citation, and ranking.

Result

Content freshness signals is missing or incomplete.

Validation steps

  1. Validate metadata freshness dates

    No Open Graph, Dublin Core, or generic meta freshness date was found.

    Metadata freshness dates are missing or invalid
  2. Check date validity and consistency

    open-graph article:published_time is not a parseable date (05/23/2020 18:16:25 PM).

    Freshness dates are invalid or inconsistent
Evidence log2 steps · 8 lines
Validate metadata freshness dates [warning]! No Open Graph, Dublin Core, or generic meta freshness date was found.INFOValidate metadata freshness datesINFOCollecting Open Graph, Dublin Core, and generic meta freshness datesWARNCheck metadata freshness date count actual=2 expected="> 0" metaDateCount=2 invalidDateCount=1 alternateDates=[{"source":"open-graph","channel":"meta","property":"article:modified_time","value":"2/22/2025 3:00:00 AM","parsed":"2025-02-21T21:30:00.000Z","location":"HTML <meta> tag (meta[property=\"article:modified_time\"][content=\"2/22/2025 3:00:00 AM\"])"},{"source":"sitemap","channel":"sitemap","property":"lastmod","value":"2026-06-10T19:20:48+00:00","parsed":"2026-06-10T19:20:48.000Z","location":"matching sitemap <lastmod> entry for this page URL"}]WARNMetadata freshness dates include invalid values invalidDateCount=1Check date validity and consistency [fail]! open-graph article:published_time is not a parseable date (05/23/2020 18:16:25 PM).INFOCheck date validity and consistencyINFOChecking collected freshness dates for invalid values, future dates, and inconsistent orderingFAILCheck critical freshness issue count actual=1 expected=0 warningIssueCount=0 issues=[{"severity":"fail","message":"open-graph article:published_time is not a parseable date (05/23/2020 18:16:25 PM)."}]FAILInvalid freshness date issue found issues=["open-graph article:published_time is not a parseable date (05/23/2020 18:16:25 PM)."]

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63/100Level 3, Bot-AwareCurrent report