Audit Intelligence — 584 Web Factors Across 15 AI Modules
Benchranky by SEM.lv is an AI-powered website audit platform that analyzes 584 factors across 15 expert modules. We benchmark every site against industry standards — Nielsen Norman Group (NNG), Baymard Institute, WCAG 2.1, OWASP, Google E-E-A-T, Schema.org, ISO 27001, and CIS Benchmarks — and return a prioritized improvement plan.
What we audit (15 modules · 584 factors)
- Copy Audit — 44 factors: headlines, CTAs, readability, persuasion, tone of voice.
- Structure Audit — 43 factors: navigation, information architecture, internal linking, sitemap.
- Design Audit — 55 factors: layout, visual hierarchy, whitespace, color, typography, responsive design.
- Text Quality Audit — 72 factors: grammar, readability, meta tags, heading structure, SEO content.
- Market Fit Audit — 60 factors: competitive positioning, value proposition, target audience alignment.
- Accessibility Audit — 30 factors WCAG 2.1: contrast ratios, alt text, keyboard navigation, ARIA labels.
- SEO Audit 2026 — 35 factors across 7 strategic groups: On-Page Fundamentals, Content & Semantic SEO, Technical SEO, AI Overviews readiness, and more.
- AEO Audit — 50 factors AI Engine Optimization: structured data, featured snippets, voice search, entity coverage.
- Performance Audit — 21 factors: Core Web Vitals (LCP, FID, CLS), TTFB, page speed, resource optimization.
- Mobile Performance Audit — 31 factors: iPhone 14 Pro-emulated PageSpeed metrics and mobile Core Web Vitals.
- Security Audit — 28 factors based on OWASP: SSL/TLS, security headers, DNSBL blacklist, CSP.
- GDPR / Privacy Audit — 25 factors: cookie consent, privacy policy, third-party tracking, data processing.
- Visibility Audit — 30 factors: indexation, meta tags, Open Graph, schema markup, robots.txt.
- UX Audit — 30 factors: navigation flow, interaction patterns, mobile usability, forms, error handling.
- Brand Audit — 30 factors: visual identity, tone of voice, messaging alignment, cross-page coherence.
Methodology
Every audit is benchmark-driven, not opinion-driven. We use machine-verified data wherever possible (HTML parsers, DNS queries, header inspection, Lighthouse-style probes) and fall back to AI inference only for subjective dimensions like copy quality and brand consistency. Each finding cites a concrete benchmark source and includes severity (Critical / Major / Minor) plus a recommended fix. Read the full methodology.
Who it's for
Marketers, product managers, designers, developers, SEO specialists, founders, agencies, and QA leads who need objective, prioritized website improvement plans backed by evidence rather than gut feel.
Key resources
Trust & standards
Benchranky benchmarks against: Nielsen Norman Group, Baymard Institute, WCAG 2.1, OWASP Top 10, Google E-E-A-T, Schema.org, CXL Institute, Material Design 3, ISO 27001, ISO 9241, CIS Benchmarks, and NIST Cybersecurity Framework.
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