docusign.com — AI Search Visibility Report
Overall score: 74/100
AI search visibility analysis for docusign.com. LLMao scored docusign.com 74/100 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 readability with clear, active voice and appropriate sentence lengths for a professional audience.
- schema_markup: 30/100 — Very minimal schema. Only a basic WebSite block is present. Missing Organization, Product, and BreadcrumbList.
- authority_trust: 70/100 — Strong brand trust signals (1.7M customers, Newsweek award) but lacks specific author credentials and detailed publication history.
- citation_sources: 50/100 — Claims are made about market leadership and customer counts without direct links to primary data sources or third-party verification.
- content_freshness: 95/100 — Excellent freshness signals with 2026 dates for webinars and product releases visible in the content.
- content_structure: 75/100 — Good use of semantic sections, but the heading hierarchy skips H2 levels in the product feature sections.
- entity_definition: 65/100 — Brand entity is clear, but individual author entities and term definitions for technical jargon (like IAM) are not structured for LLMs.
- technical_accessibility: 90/100 — Excellent technical SEO with descriptive meta tags and social graph data. Content is accessible.
Top recommendations
- Implement Comprehensive Entity Schema (Schema Markup): Expand JSON-LD to include Organization, Product, and FAQPage schemas. Currently, only WebSite is present, missing critical entity data for LLMs.
- Define Author Entities with Person Schema (Authority & Trust Signals): Add Person schema for leadership and authors of resource content to establish E-E-A-T. Currently, no individual authors are identified.
- Strengthen Fact Verification with Citations (Citation & Source Quality): Include outbound links to legal standards (e.g., ESIGN Act, eIDAS) or industry reports to verify claims of being a 'market leader'.
- Correct Heading Hierarchy Skip (Content Structure): Fix the heading hierarchy. The page jumps from H1 to H3 in several sections, which can confuse LLM parsers regarding content importance.
- Explicitly Allow AI Crawlers (Technical Accessibility): Ensure the robots.txt explicitly allows AI crawlers like GPTBot and ClaudeBot to ensure full indexing of the Resource Center.