optigo.net — AI Search Visibility Report
Overall score: 75/100
AI search visibility analysis for optigo.net. LLMao scored optigo.net 75/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 50/100 — The content is highly technical and dense, resulting in a low Flesch-Kincaid score.
- schema_markup: 82/100 — Extensive JSON-LD implementation, though missing @context in several blocks and some property gaps.
- authority_trust: 70/100 — Strong publication dates and trust pages, but lacks specific author credentials and social proof schema.
- citation_sources: 74/100 — Good use of inline citations for case studies, but lacks links to high-authority external primary sources.
- content_freshness: 70/100 — Content is very fresh with 2026 modification dates, though explicit changelogs are missing.
- content_structure: 81/100 — Semantic HTML is excellent, but heading hierarchy is broken with multiple H1s and skipped levels.
- entity_definition: 83/100 — Strong author and organization identification, though a dedicated /about link was not found in the primary nav.
- technical_accessibility: 85/100 — Excellent AI crawler access and JS independence, but the meta description is critically short.
Top recommendations
- Expand Meta Description (Technical Accessibility): The current meta description is only 6 characters long. Expand this to 150-160 characters to provide LLMs and users with a clear summary of the page content.
- Fix Heading Hierarchy (Content Structure): The homepage contains two H1 tags and skips heading levels. Consolidate to a single H1 and ensure a logical H1 > H2 > H3 flow.
- Enhance Author Credentials in Schema (Authority & Trust): While a Person schema exists, it lacks 'jobTitle', 'alumniOf', or 'knowsAbout' properties. Adding these helps LLMs verify the author's expertise in OT networking.
- Add Authoritative Outbound Links (Citation & Source Quality): The site links to many internal and social pages but lacks outbound links to authoritative industry standards (e.g., ASHRAE, BACnet.org) to support technical claims.
- Fix Schema Context Errors (Schema Markup): Add @context: https://schema.org to all JSON-LD blocks to ensure they are fully compliant with linked data standards.