cognism.com — AI Search Visibility Report
Overall score: 79/100
AI search visibility analysis for cognism.com. LLMao scored cognism.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 — Professional B2B tone with good sentence length. Jargon like 'ICP' and 'GTM' is used but generally contextualized within the industry.
- schema_markup: 65/100 — Basic HubSpot-generated schema is likely present, but specific JSON-LD for Products, FAQs, or Organizations was not explicitly detailed in the scrape.
- authority_trust: 75/100 — Strong social proof with 4,000+ customers and specific testimonials, but lacks explicit publication dates and detailed author credentials on the homepage.
- citation_sources: 60/100 — Claims are well-supported by internal case studies and customer data, but lacks external authoritative citations to third-party data or regulatory bodies.
- content_freshness: 85/100 — Excellent use of '2026' branding and current year context. However, lacks specific 'last modified' metadata in the visible HTML.
- content_structure: 90/100 — Clear H1-H3 hierarchy and logical flow. Uses semantic sections effectively for different product offerings.
- entity_definition: 80/100 — Strong brand consistency and clear definitions of 'Sales Intelligence' and 'DaaS'. About page is linked but Person entities are not defined on the homepage.
- technical_accessibility: 85/100 — Good meta descriptions and social meta tags. Content is highly accessible, though AI-specific crawler instructions were not verified.
Top recommendations
- Expand Content-Specific Schema (Schema Markup): Implement detailed FAQPage schema for the FAQ section and Product schema for the Sales Intelligence and DaaS offerings to help LLMs extract structured features and pricing.
- Add Explicit Publication Timestamps (Authority & Trust): Add visible 'Last Updated' dates to the homepage and resource sections. While 2026 branding is present, explicit timestamps improve LLM confidence in data recency.
- Implement Author/Person Schema (Entity Definition): Create dedicated Person schema for key leadership or authors mentioned in the blog/resources to link brand authority to individual expertise.
- Strengthen External Citations for Compliance Claims (Citation & Source Quality): Include outbound links to official regulatory bodies (e.g., GDPR/CCPA official sites) when discussing compliance to anchor claims in authoritative external data.
- Explicitly Allow AI Crawlers in Robots.txt (Technical Accessibility): Ensure the robots.txt explicitly mentions and allows LLM-specific crawlers like GPTBot and ClaudeBot to ensure full indexing of the resource hub.