fastly.com — AI Search Visibility Report
Overall score: 78/100
AI search visibility analysis for fastly.com. LLMao scored fastly.com 78/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 75/100 — Professional and clear, though contains significant industry jargon (TTFB, POPs, WAF) without immediate definitions.
- schema_markup: 60/100 — Basic WebSite/WebPage schema likely present via Gatsby, but missing deep Product/FAQ/Person JSON-LD.
- authority_trust: 85/100 — Strong trust signals with physical contact info and social proof, but lacks explicit editorial standards.
- citation_sources: 75/100 — Good use of data points with dates, though some links are internal rather than primary third-party sources.
- content_freshness: 95/100 — Excellent recency with multiple 2026 dates and Q1 2026 reports mentioned.
- content_structure: 80/100 — Clear hierarchy and semantic use of sections, though H1 is slightly generic.
- entity_definition: 70/100 — Strong brand consistency, but lacks structured Person schema for mentioned experts.
- technical_accessibility: 85/100 — Good meta descriptions and social tags; Gatsby provides solid static structure.
Top recommendations
- Add Product/Service Schema for Core Offerings (Schema Markup): Implement detailed Product and Service schema for core offerings like 'Next-Gen WAF' and 'Compute' to help LLMs understand specific capabilities and pricing.
- Implement Author/Executive Person Schema (Entity Definition): Add Person schema for quoted executives like Erik Bursch and Harold Hunt to establish clear entity relationships and authority.
- Formalize Editorial and Trust Standards (Authority & Trust): Explicitly link to an Editorial Policy or Trust Center page from the footer to strengthen E-E-A-T signals for LLM crawlers.
- Enhance Citation Descriptive Text (Citation & Source Quality): Use more descriptive anchor text for citations (e.g., 'as of December 31, 2025') and ensure they link to the specific data source or methodology page.
- Optimize robots.txt for LLM Crawlers (Technical Accessibility): Explicitly allow PerplexityBot and ClaudeBot in robots.txt to ensure full indexing by modern LLM search engines.