joanbono.github.io — AI Search Visibility Report
Overall score: 44/100
AI search visibility analysis for joanbono.github.io. LLMao scored joanbono.github.io 44/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 70/100 — Technical jargon (XSS, Proxmark3, WireGuard) is used without immediate definition, though clarity is high for a technical audience.
- schema_markup: 0/100 — No JSON-LD or Microdata detected in the provided HTML.
- authority_trust: 20/100 — Lacks formal credentials, trust pages, and social proof. Contact info is limited to a Twitter handle in metadata.
- citation_sources: 0/100 — No external authoritative links or inline citations found in the homepage summary.
- content_freshness: 20/100 — No visible publication or modification dates on the homepage. Content mentions 'today (16.7.5)' suggesting some recency but lacks metadata.
- content_structure: 85/100 — Excellent heading hierarchy (H1 to H2) and use of semantic section tags. Paragraphs are concise.
- entity_definition: 40/100 — Brand consistency is good, but lacks a dedicated About page or formal term definitions.
- technical_accessibility: 75/100 — Meta descriptions are present (though repetitive) and social meta (OG/Twitter) is implemented.
Top recommendations
- Add Structured Data (Schema Markup): Implement Person and BlogPosting JSON-LD schema to help LLMs identify the author and the nature of the technical projects.
- Establish Author E-E-A-T (Authority & Trust): Create a dedicated 'About' page detailing professional credentials, certifications, and expertise in cybersecurity.
- Improve External Citations (Citation Quality): Add outbound links to official documentation (e.g., Snort.org, Proxmark3 docs) to ground technical claims in authoritative sources.
- Add Temporal Metadata (Content Freshness): Include visible 'Last Updated' or 'Published' dates for each project to help LLMs determine the relevance of technical guides.
- Optimize AI Crawler Access (Technical Accessibility): Create a robots.txt file specifically allowing AI crawlers (GPTBot, ClaudeBot) to ensure full indexing of project subpages.