LLM Website Audit
See how large language models and AI answer engines may understand your website, describe your brand, connect your entities and decide whether your content is useful enough to cite or recommend.
What an LLM website audit looks for
- Brand interpretation: whether your website clearly explains who you are, what you do and who you help.
- Entity clarity: whether your organization, people, products, services, locations and categories are distinct and connected.
- Sourceable content: whether your pages contain answers, proof, examples, FAQs and comparisons that AI systems can summarize.
- Contradictions: whether page titles, headings, metadata, schema and body copy send mixed signals.
- Citation candidates: pages that could become strong sources for AI answers, AI Overviews and answer engines.
Core audit sections
Content understanding
We review whether pages explain your offer with clear definitions, use cases, target customers, differentiators and decision criteria.
Technical and structured signals
We check indexability, internal links, schema opportunities, page hierarchy, canonical clarity and crawlable source structure.
Trust signals
We look for About, Contact, policies, author or team clarity, reviews, proof points, third-party mentions and editorial transparency.
AI answer opportunities
We identify prompts and answer formats where your website could support AI-generated comparisons, explanations and recommendations.
Best fit
This audit is useful for B2B services, SaaS, ecommerce, local services, agencies, consultants and publishers that want AI systems to understand their website more accurately.
Related services: AI Visibility Audit, Schema and Entity Optimization, and AI Overview Optimization.