ghost.org — AI Search Visibility Report
Overall score: 74/100
AI search visibility analysis for ghost.org. LLMao scored ghost.org 74/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 90/100 — High clarity, active voice, and professional tone. Jargon is mostly contextually defined.
- schema_markup: 40/100 — Basic WebSite schema present, but missing Organization, Product, and Breadcrumb schemas.
- authority_trust: 70/100 — Strong social proof with member counts and MRR, but lacks visible publication dates and detailed contact info on the homepage.
- citation_sources: 60/100 — Good internal linking and primary data attribution for customer success, but lacks external authoritative citations for industry claims.
- content_freshness: 50/100 — Mentions 'Ghost 6.0' and 'Just launched', but lacks specific date timestamps in metadata or visible text.
- content_structure: 95/100 — Excellent use of H1-H3 hierarchy and semantic sections. Clear logical flow.
- entity_definition: 75/100 — Consistent branding and clear 'About' links, but lacks Person schema for founders or detailed term definitions.
- technical_accessibility: 95/100 — Excellent meta tags and social graph implementation. Content is highly accessible.
Top recommendations
- Implement Comprehensive Entity Schema (Schema Markup): Expand JSON-LD to include Organization, SoftwareApplication, and FAQPage schemas to help LLMs understand the business entity and product features.
- Surface Content Freshness Signals (Authority & Trust): Add a visible 'Last Updated' date or a clear version history to the homepage to signal content freshness to LLM crawlers.
- Strengthen Factual Claim Verification (Citation & Source Quality): Include external citations or links to independent reviews/case studies to verify the '100M+ revenue' and '0% fees' claims.
- Define Industry-Specific Terminology (Entity Definition): Add a dedicated 'Terms' or 'Glossary' section defining technical concepts like 'Headless CMS' or 'MRR' to improve LLM term association.
- Optimize AI Crawler Access (Technical Accessibility): Explicitly mention AI crawler permissions (GPTBot, ClaudeBot) in the robots.txt to ensure optimal indexing by LLM engines.