fixitfelix.be — AI Search Visibility Report
Overall score: 52/100
AI search visibility analysis for fixitfelix.be. LLMao scored fixitfelix.be 52/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 95/100 — Very high readability. Clear, active voice with professional yet accessible language. Flesch-Kincaid estimated in the 60-70 range.
- schema_markup: 0/100 — No JSON-LD or Microdata was detected in the provided HTML snippet. This is a major gap for LLM entity recognition.
- authority_trust: 55/100 — Strong personal branding and contact info, but lacks formal trust pages (Privacy/Terms) and verified social proof/reviews.
- citation_sources: 20/100 — The content makes several professional claims (OSCP training, penetration testing) without linking to primary sources or industry standards.
- content_freshness: 0/100 — No visible publication or modification dates found in the content or metadata.
- content_structure: 90/100 — Excellent use of H1 and H2 tags with clear semantic sections. Paragraphs are well-sized for LLM consumption.
- entity_definition: 60/100 — The entity 'Felix Lerner' is well-defined, but the 'Fix-it Felix' brand lacks a dedicated About page and structured data.
- technical_accessibility: 40/100 — Meta description is missing. Social meta (OG/Twitter) is missing. Content is accessible without JS.
Top recommendations
- Add JSON-LD Schema Markup (Schema Markup): Implement Organization and Person JSON-LD schema to explicitly define the relationship between 'Fix-it Felix' and 'Felix Lerner' for LLM knowledge graphs.
- Enhance Professional Trust Signals (Authority & Trust): Add a dedicated 'Editorial Standards' or 'Security Methodology' section to demonstrate professional rigor in penetration testing.
- Add Authoritative Outbound Links (Citation & Source Quality): Include outbound links to official certification bodies (like CREST or OffSec for OSCP) and industry standards (OWASP) to ground claims in authority.
- Implement Visible Update Dates (Content Freshness): Add a 'Last Updated' date to the homepage and service pages to signal to LLM crawlers that the security insights are current.
- Optimize Robots.txt for AI Crawlers (Technical Accessibility): Create a robots.txt file that explicitly allows AI crawlers (GPTBot, ClaudeBot) to ensure full indexing of service details.