Export Report
OVERALL SCORE
Level 3, Bot-Aware
- AI Discoverability 54 out of 100
- Agent Ease of Use 50 out of 100
- Security & Trust 98 out of 100
- GEO, AIO and AEO 75 out of 100
- SEO 100 out of 100
- Performance 100 out of 100
- Accessibility 100 out of 100
What AI sees of your website
GitDailies: Software Engineering Metrics for GitHub.
Software engineering metrics for GitHub. Get Pull Request metrics, DORA metrics, and daily activity reports. Analyze across repositories and teams.
Next step
Turn this report into a fix workflow
2 failed checks are ready to move into MCP or CLI remediation. Generate a repair prompt, connect the scanner to your coding agent, or open the integration docs before your next rescan.
| Metric | Score | Status | Passed | Failed | Warning | Evidence |
|---|---|---|---|---|---|---|
| AI Discoverability | 54 | Needs work | 24 | 4 | 1 | View details |
| Discoverability | 67 | Needs work | 8 | 2 | 0 | View details |
| Content Readiness | 52 | Needs work | 15 | 1 | 1 | View details |
| Bot Access Control | 45 | Priority fix | 1 | 1 | 0 | View details |
| GEO, AIO and AEO | 75 | Mostly ready | 12 | 0 | 0 | |
| GEO Readiness | Not Applicable | Not Applicable | 4 | 0 | 0 | |
| AIO Readiness | Not Applicable | Not Applicable | 4 | 0 | 0 | |
| AEO Readiness | Not Applicable | Not Applicable | 4 | 0 | 0 | |
| SEO | 100 | Strong | 10 | 0 | 0 | |
| SEO | 100 | Strong | 10 | 0 | 0 | |
| Security & Trust | 98 | Strong | 26 | 0 | 0 | |
| Security & Trust | 98 | Strong | 26 | 0 | 0 | |
| Performance | 100 | Strong | 14 | 0 | 0 | |
| Performance | 100 | Strong | 14 | 0 | 0 | |
| Accessibility | 100 | Strong | 10 | 0 | 0 | |
| Accessibility | 100 | Strong | 10 | 0 | 0 |
Prioritized recommendations
Issues ranked by score impact
3 items need attention
AI DiscoverabilityDiscoverabilityEstablished
Link headers
Link headers failed at "Find useful Link headers".
100 Fail
AI DiscoverabilityDiscoverabilityEstablished
Link headers
Link headers failed at "Find useful Link headers".
Needs attention
Link headers
Issue
No useful agent discovery Link headers were found.
Why it matters
Link headers let automated clients discover API catalogs, documentation, and machine-readable alternates without parsing page markup first.
Check name
Link headers
Score
0/100
Status
fail
Category
Discoverability
Maturity
Established
Goal
Include Link response headers for agent discovery using RFC 8288.
Result
Link headers failed at "Find useful Link headers".
Validation steps
Find useful Link headers
No useful agent discovery Link headers were found.
Fetch same-origin Link header targets
Link headers did not expose any same-origin targets to validate.
Evidence log2 steps · 9 lines
Find useful Link headers [fail]! No useful agent discovery Link headers were found.INFOFind useful Link headersINFOParse response Link header linkCount=0FAILCompare registered agent-useful relation count actual=0 expected="> 0"FAILCompare community relation count actual=0 expected="accepted as weaker evidence"FAILNo useful agent discovery Link headers were found.Fetch same-origin Link header targets [fail]! Link headers did not expose any same-origin targets to validate.INFOFetch same-origin Link header targetsINFOFetch same-origin Link header targets and record external skipsFAILCompare same-origin Link target failures actual=1 expected=0FAILLink headers did not expose any same-origin targets to validate.
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=0 unspecified=21AI DiscoverabilityContent ReadinessEstablished
Author attribution
Author attribution is partially implemented.
45 Warning
AI DiscoverabilityContent ReadinessEstablished
Author attribution
Author attribution is partially implemented.
Needs attention
Author attribution
Issue
No named author or publisher identity could be extracted.
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
55/100
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
Schema.org attribution
Schema.org attribution is incomplete or relies only on publisher/fallback evidence.
Author identity quality
No named author or publisher identity could be extracted.
Evidence log2 steps · 8 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=0 namedContributors=0 authors=[] publishers=[] formats=[]WARNSchema.org attribution is incomplete or fallback-only authorCount=0 publisherCount=0 authors=[] publishers=[]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=[]FAILNo named contributor identity could be extracted
Sign in to see 24 other issues and the full report
Create a free account to unlock every issue, evidence details, exports, and higher free limits.
Fix with MCP or CLI
Use this report as the handoff into remediation. Generate a coding-agent prompt with the failing checks attached, or jump to the MCP and CLI setup docs before your next rescan.
Score history