AI Search Optimisation
Structure your content so AI systems can read, cite, and recommend it. Semantic HTML, schema markup, FAQ architecture, and entity clarity — the signals LLMs use when deciding what to surface.
ChatGPT, Perplexity, Claude, and Gemini are already recommending businesses to millions of people. We build the structure that makes yours one of them — and the tracking layer so you know exactly what's working.
From the tracking layer to the content structure — everything you need to appear in AI results and know when it's paying off.
Structure your content so AI systems can read, cite, and recommend it. Semantic HTML, schema markup, FAQ architecture, and entity clarity — the signals LLMs use when deciding what to surface.
Know exactly which AI platform sent each visitor, which page they landed on, and whether they converted. GA4 events, server-side logs, and lead attribution — full visibility, no guesswork.
Every inquiry tells you its source. When a lead from a ChatGPT conversation fills in your contact form, that attribution travels with it — so you know which AI channel is worth doubling down on.
We test how AI systems currently describe your business, identify gaps, and fix the content and structure that determines what ChatGPT says when someone asks about your industry.
Clean headings, short paragraphs, structured sections, fast pages, semantic markup. The same things that help Google also help LLMs — but most sites still fail the basics.
LocalBusiness, FAQ, Organization, Service, and Product schema — the machine-readable layer that tells AI systems what you do, where you operate, and why you're credible.
The HTTP referrer is read client-side. If it matches a known AI domain (chatgpt.com, perplexity.ai, claude.ai, gemini.google.com, etc.), the visit is flagged.
An ai_referral_visit custom event fires with the source, landing page, and page title attached. Visible in GA4 Explore → filter by event name.
The AI source is saved to localStorage. When the visitor fills in any form — contact, booking, quote — the source travels with the submission.
A structured JSON log line is written on Vercel. Every AI referral has a timestamp, source, landing page, and IP — searchable in Vercel Logs or piped to a log drain.
When someone asks ChatGPT, Perplexity, or another AI assistant a question and your website is mentioned or linked in the response, any clicks that follow are AI referral traffic. It's growing fast — and most businesses have no idea it's happening.
AI systems cite content that is authoritative, clearly structured, and answering specific questions. FAQ pages, case studies, service explanations with semantic structure, and strong schema markup all help. There is no single shortcut — it's a compounding content and structure strategy.
Yes. We implement a detection layer that reads the HTTP referrer, fires a GA4 custom event (ai_referral_visit), logs it server-side, and attaches the source to any form submissions. You get a full picture in GA4 and in Vercel logs.
Overlapping but distinct. Traditional SEO optimises for search engine crawlers and ranking algorithms. AI optimisation focuses on how LLMs ingest, interpret, and cite your content — which rewards clarity, specificity, and structured answers over keyword density.
The tracking layer (GA4 + referral detection + lead attribution) goes live in days. Content and schema improvements are iterative — most clients see meaningful changes within 2–4 weeks.
We'll wire the full tracking stack, audit your AI discoverability, and show you exactly where AI-referred visitors are coming from — and converting.