dooingit.com — AI Search Visibility Report
Overall score: 49/100
AI search visibility analysis for dooingit.com. LLMao scored dooingit.com 49/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 75/100 — Content is clear and uses active voice, though some sentences are fragmented due to slider formatting.
- schema_markup: 0/100 — No JSON-LD or Microdata detected in the provided HTML structure.
- authority_trust: 40/100 — Lacks clear author credentials and physical contact details on the homepage. Trust pages are not easily accessible in the provided scrape.
- citation_sources: 20/100 — No external authoritative links or primary source citations found in the content.
- content_freshness: 45/100 — Last blog post is from Dec 2024, but previous posts are from early 2022, indicating inconsistent updates.
- content_structure: 55/100 — Uses sections but lacks a clear H1 and skips heading levels. Semantic HTML usage is basic.
- entity_definition: 50/100 — Brand name is consistent, but lacks a dedicated About page or clear term definitions for cybersecurity services.
- technical_accessibility: 70/100 — Meta description is present and social meta (OG/Twitter) is well-configured. No specific AI crawler directives found.
Top recommendations
- Implement Core Schema.org Markup (Schema Markup): Implement Organization, Service, and LocalBusiness JSON-LD schema to help LLMs identify the company's core offerings and location.
- Enhance Entity Trust Signals (Authority & Trust): Add a dedicated 'About Us' page with team bios, physical address, and professional certifications to improve E-E-A-T signals.
- Update Stale Content (Content Freshness): The blog has not been updated since 2024, and some content dates back to 2022. Establish a regular posting schedule for cybersecurity news.
- Fix Heading Hierarchy (Content Structure): Fix the heading hierarchy. The page skips H1 and uses H2/H3/H4 inconsistently, which confuses LLM parsers.
- Explicitly Allow AI Crawlers (Technical Accessibility): Create a robots.txt file that explicitly allows AI crawlers like GPTBot and ClaudeBot to ensure full indexing.