chainstack.com — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for chainstack.com. LLMao scored chainstack.com 79/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 85/100 — High technical clarity and good jargon handling for a developer audience.
- schema_markup: 95/100 — Comprehensive JSON-LD including WebSite, Organization, and FAQPage. Valid and well-structured.
- authority_trust: 70/100 — Strong social proof and contact info, but lacks individual author credentials for technical content.
- citation_sources: 60/100 — Claims are generally substantiated by the service context, but external authoritative citations are sparse on the homepage.
- content_freshness: 75/100 — Metadata shows 2025 updates, which is acceptable for evergreen tech, but lacks 2026 'last updated' signals.
- content_structure: 90/100 — Excellent use of semantic HTML and clear hierarchy, though H1 is slightly generic.
- entity_definition: 70/100 — Brand consistency is high, but lacks a dedicated About page and Person-level entity definitions.
- technical_accessibility: 90/100 — Excellent meta descriptions and social tags; content is highly accessible.
Top recommendations
- Implement Expert Author Bylines (Authority & Trust Signals): Add specific author bylines with links to professional profiles (LinkedIn/Twitter) to blog posts and technical guides to improve E-E-A-T.
- Strengthen Entity Definition with About Page (Entity Definition): Create a dedicated 'About Us' page that details the company history, leadership team, and mission, and link it to the Organization schema.
- Increase Primary Source Citations (Citation & Source Quality): Include more outbound links to primary documentation (e.g., ethereum.org, solana.com) and academic research within technical content.
- Add Visible Last Updated Dates (Content Freshness): Implement a visible 'Last Updated' date on all technical documentation and blog posts to signal recency to LLM crawlers.
- Implement Product Schema for Services (Schema.org Markup): Expand JSON-LD to include Product schema for specific node types (e.g., Dedicated Nodes) with pricing and feature properties.