Know exactly what AI systems see when they look at your brand.
An AI brand audit is a structured evaluation of how machine learning systems, AI search engines, and large language models interpret your website. It measures what traditional analytics cannot — whether your brand is legible, citable, and recommendable by AI.
Traditional audits measure what humans do. AI audits measure what machines understand.
A conventional website audit evaluates page speed, mobile responsiveness, broken links, and meta tag completeness. These are important. But they tell you nothing about how an AI system comprehends your brand identity, parses your content hierarchy, or decides whether to recommend you in a generated response.
An AI brand audit goes deeper. It evaluates semantic structure — whether your HTML communicates clear meaning to machines. It checks entity clarity — whether AI systems can identify your brand as a distinct, credible entity. It measures citation readiness — whether your content is structured in ways that AI systems can extract, attribute, and recommend.
Most companies discover through an AI audit that their website, while visually polished and technically sound by traditional standards, is essentially opaque to AI systems. The information is there, but it is not structured in ways machines can reliably interpret.
The anatomy of an AI brand audit.
The TypeLabs AI Brand Audit produces a comprehensive diagnostic across three layers of analysis. Each layer maps to specific, actionable improvements.
Layer 1 — SEO Foundation
Traditional search readiness: technical SEO score, meta tag completeness, heading hierarchy, internal linking structure, page speed, mobile optimization, and structured data validation. This layer confirms your baseline is sound before evaluating AI-specific signals.
Layer 2 — AI Readiness Signals
Machine interpretation: AI readiness score, semantic page hierarchy, brand entity clarity, knowledge graph alignment, content structure for LLMs, AI citation readiness, and AI discoverability potential. This layer reveals how AI systems actually interpret your website versus how you intended it to be understood.
Layer 3 — Typography & Brand Authority
Human trust signals: typography authority assessment, design system consistency, brand signal strength, and font recommendations scored by authority, readability, and conversion impact. This layer connects visual design decisions to the behavioral metrics that AI systems use as trust proxies.
Scores, findings, and a clear path forward.
The audit does not just diagnose. It prescribes.
Every AI brand audit produces a two-part score: an SEO score measuring traditional search readiness, and an AI Readiness score measuring preparedness for AI-mediated discovery. These scores are composites of the sixteen individual signal evaluations.
Alongside the scores, you receive a prioritized list of findings — specific issues the audit identified, ranked by severity. Critical findings are problems that actively prevent AI systems from understanding your brand. Warnings are missed opportunities that reduce your discoverability. Informational findings confirm what is working correctly.
The audit also produces typography recommendations: three premium typefaces selected by our scoring algorithm, each with estimated licensing costs, authority improvement projections, and greyscale mockups showing the visual transformation at three investment tiers.
Run your AI brand audit in thirty seconds.
Enter any public domain into the TypeLabs AI Readiness Engine. The diagnostic runs in real time and produces a complete audit with scores, findings, typography recommendations, and investment tiers. No account required. No credit card. Just a domain name.