crkt.com — AI Search Visibility Report
Overall score: 72/100
AI search visibility analysis for crkt.com. LLMao scored crkt.com 72/100 across 8 LLM-readiness categories including crawlability, semantic content, structured data, authority signals, and answer-engine clarity.
Analyzed URL
Category breakdown
- readability: 80/100 — High clarity and appropriate sentence length for a consumer audience. Technical terms are used but not always defined.
- schema_markup: 55/100 — Basic WebSite and Organization schema likely present via BigCommerce, but missing deep Product/Article JSON-LD.
- authority_trust: 65/100 — Strong brand presence and contact info, but lacks clear author credentials and editorial standards.
- citation_sources: 50/100 — Minimal outbound links to external authoritative sources; claims are mostly self-referential.
- content_freshness: 60/100 — Content appears current for 2026 based on product launches, but lacks explicit date metadata.
- content_structure: 85/100 — Excellent use of H1 and H2 tags with a logical flow, though semantic HTML could be more robust.
- entity_definition: 75/100 — Strong brand consistency and 'Meet CRKT' page, but lacks structured author/designer entities.
- technical_accessibility: 75/100 — Good meta tags and social cards, but heavy reliance on JS for some navigation elements.
Top recommendations
- Add Product & Review Schema (Schema.org Markup): Implement Product and Review schema on the homepage for featured items like the M16 and Q Compact. Currently, the site lacks granular product-level JSON-LD which LLMs use to extract pricing and availability.
- Identify Content Authors (Authority & Trust Signals): Add visible author bylines and Person schema to blog posts and 'Knife Stories'. LLMs prioritize content with clear expertise and identifiable authors (E-E-A-T).
- Expose Modification Dates (Content Freshness): Explicitly state 'Last Updated' or 'Published' dates on the homepage and blog previews. While 2026 dates are present in image URLs, they are not in machine-readable text or schema.
- Define Technical Terminology (Entity Definition): Create a dedicated 'Glossary' or 'Term Definitions' section for technical knife terms (e.g., 'Crossbar Lock', 'Balisong', 'Wharncliffe') to help LLMs define these entities.
- Optimize Meta Descriptions for Entities (Technical Accessibility): Ensure the meta description is unique and includes specific entity keywords like 'EDC', 'Tactical', and 'Survival' to better match LLM intent queries.