Export Report
OVERALL SCORE
Level 3, Bot-Aware
- AI Discoverability 38 out of 100
- Agent Ease of Use 53 out of 100
- Security & Trust 70 out of 100
- GEO, AIO and AEO 64 out of 100
- SEO 92 out of 100
- Performance 89 out of 100
- Accessibility 90 out of 100
What AI sees of your website
California State University, Long Beach
CSULB is a large, urban, comprehensive university in the 23-campus California State University system.
Next step
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| Metric | Score | Status | Passed | Failed | Warning | Evidence |
|---|---|---|---|---|---|---|
| AI Discoverability | 38 | Priority fix | 15 | 4 | 1 | View details |
| Discoverability | 47 | Priority fix | 6 | 0 | 0 | |
| Content Readiness | 20 | Priority fix | 8 | 3 | 1 | View details |
| Bot Access Control | 45 | Priority fix | 1 | 1 | 0 | View details |
| Agent Ease of Use | 53 | Needs work | 3 | 1 | 0 | View details |
| API | 67 | Needs work | 1 | 0 | 0 | |
| Auth | 48 | Priority fix | 1 | 0 | 0 | |
| Google Agentic Browsing | 50 | Needs work | 1 | 1 | 0 | View details |
| GEO, AIO and AEO | 64 | Needs work | 9 | 0 | 0 | |
| GEO Readiness | Not Applicable | Not Applicable | 3 | 0 | 0 | |
| AIO Readiness | Not Applicable | Not Applicable | 3 | 0 | 0 | |
| AEO Readiness | Not Applicable | Not Applicable | 3 | 0 | 0 | |
| SEO | 92 | Strong | 9 | 0 | 0 | |
| SEO | 92 | Strong | 9 | 0 | 0 | |
| Security & Trust | 70 | Needs work | 15 | 0 | 0 | |
| Security & Trust | 70 | Needs work | 15 | 0 | 0 | |
| Performance | 89 | Mostly ready | 12 | 0 | 0 | |
| Performance | 89 | Mostly ready | 12 | 0 | 0 |
Prioritized recommendations
Issues ranked by score impact
3 items need attention
AI DiscoverabilityContent ReadinessEstablished
Author attribution
Author attribution is partially implemented.
95 Fail
AI DiscoverabilityContent ReadinessEstablished
Author attribution
Author attribution is partially implemented.
Needs attention
Author attribution
Issue
Applicable editorial content has no usable author, creator, publisher, visible byline, or HTML attribution signal.
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
Schema.org attribution
Editorial content has no Schema.org author, creator, or publisher attribution.
Author identity quality
No named author or publisher identity could be extracted.
Visible byline parity
Structured author/publisher names were not found in visible byline text.
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
AI DiscoverabilityBot Access ControlEstablished
AI bot rules in robots.txt
AI bot rules in robots.txt failed at "Classify AI crawler rules".
Needs attention
AI bot rules in robots.txt
Issue
No explicit User-agent rules were found for major AI crawler tokens.
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
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=0Agent Ease of UseGoogle Agentic BrowsingBrowser audit
Accessibility tree is not well-formed
100 Fail
Agent Ease of UseGoogle Agentic BrowsingBrowser audit
Accessibility tree is not well-formed
Check name
Accessibility tree is not well-formed
Score
0/100
Status
fail
Device
desktop
Category
Google Agentic Browsing
Fix guidance
A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.
References
https://goo.gle/lighthouse-agentic-webEvidence
{
"description": "A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page."
}Sign in to see 41 other issues and the full report
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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.
| Scan date | Score | Readiness | Report |
|---|---|---|---|
| 61/100 | Level 3, Bot-Aware | Current report |