Ensure your site is ready to be cited by LLMs with a bespoke GEO audit
Your ICP is using LLMs and AI overviews to solve their problems and find software solutions for them. Know where you stand with an GEO audit and start capturing high-intent LLM traffic and citations.
Why get an audit?
The landscape of search is changing faster than ever. Optimising for AI visibility and GEO is still evolving, but it’s critical to that your site is discoverable and crawlable by LLMs. Ensuring they’re citing the right information about your business rather than hallucinating is a 2026 priority to turn them into repeatable and predictable channels.
What's in the GEO audit?
A GEO audit covers 3 core areas, and is based off the latest research and Google’s own guidance.
Technical foundations
Much like search engines, there are foundations that determine whether AI bots can access and process your site. This includes things like CDN setup, redirect rules, canonical tags, and Core Web Vitals. If this layer is broken, your content isn’t delivered efficiently, wasting LLM resources and increases the risk of poor quality answers about your business.
Schema & structured data
Structured and machine-readable data can tell AI systems exactly what your content is - a product, an article, a FAQ, an organisation - rather than leaving them to guess.* It’s the way to ensure that you can give AI crawlers accurate information about your business and is often the most overlooked area on many strong sites.
Content quality
Diagnosing whether your content is written and structured in a way AI systems can actually extract - clear summaries, factual information is one thing. In a similar vein to SEO, understanding if it demonstrates E-E-A-T is another. The strongest technical foundations in the world won't help if the underlying content is vague, promotional, or commoditised.
The process
Before starting the audit, I’ll take a deep-dive into your business, products, ICP and current acquisition channels to get full context.
Site crawl
As you would with SEO, the audit starts start with a full technical crawl, capturing every page's structure, schema markup, performance data, and indexability signals. This creates a complete picture of how AI crawlers and search engines can access and understand your content.
Automated pattern analysis
Rather than spending valuable hours scrolling through thousands of rows of crawl data, I use custom and purpose built scripts and tools, built off previous audits and expertise to flag issues automatically. This means nothing gets missed, and I spend my time on the things that actually move the needle.
Manual review where it matters
I manually check how your site renders for AI bots specifically (not just Google), whether your CDN and caching setup serves fast, stable HTML, and whether your schema markup is implemented correctly - not just present. I also review content quality: does it give AI systems clear, factual, extractable information about your business?
Scoring and prioritisation
Every audit area - schema, indexability, content, performance, structure - is scored against a clear framework. This isn't about pass/fail for its own sake; it's about showing you exactly where the gaps are and how much they matter.
A report you can actually use
You get a clear, prioritised set of recommendations - not a 50-page document nobody reads. The highest-impact fixes come first, backed by the specific data behind each one, with a full spreadsheet of supporting findings for your dev team to work through.