Search has split in two. Traditional rankings still matter — but an entirely separate layer of AI-generated answers, citations, and recommendations is now shaping buyer decisions before they ever reach your website. We make sure you appear in both.
For 25 years, SEO meant one thing: rank on Google. That is still true — and still important. But a second, parallel search layer has emerged that operates on entirely different rules, responds to entirely different signals, and is used by an increasingly large proportion of buyers before they ever open a search engine.
AI systems don't rank pages. They build probabilistic models of which entities are most authoritative, most relevant, and most cited in the context of a given question. Understanding this model is the foundation of every strategy we build.
Google AI Overviews now appear for a majority of informational and commercial queries. They sit above the organic results, synthesise an answer from multiple sources, and attribute citations to those sources. Being cited in an AI Overview drives significant qualified traffic — and being absent hands those impressions to competitors.
ChatGPT and Perplexity are used differently from Google — more conversational, more evaluative, more "help me decide" than "show me options." This buyer is often further along in their purchase intent. Being absent from their AI response is equivalent to not being in the consideration set at all.
Structured data is the machine-readable layer that lets AI crawlers understand your content with precision rather than inference. It is the foundation of both AEO and GEO — and the single highest-leverage technical change most businesses have not yet fully implemented.
E-E-A-T — Experience, Expertise, Authoritativeness, Trustworthiness — is Google's framework for evaluating content quality. It is also, in effect, the framework AI systems use when deciding whose content to cite and whose brand to recommend. Building E-E-A-T is not a quick win — it is a durable, compounding asset.
AI visibility is harder to measure than traditional rankings. There is no "position 1" in an AI answer. But there are meaningful, trackable proxies — and we track all of them.
Related but distinct. Traditional SEO targets Google's blue-link results. AI Search Visibility targets the AI-generated answer layer — Google AI Overviews, ChatGPT recommendations, Perplexity citations, and voice search responses. Many of the underlying signals overlap (structured data, backlinks, E-E-A-T), but the optimisation targets and measurement methods are different. We offer this as a standalone service and as a layer added to traditional SEO engagements.
No — and any agency that claims they can should be treated with scepticism. AI recommendation systems are probabilistic, not deterministic. What we can do is systematically improve the signals that increase the probability of your brand appearing — and track those signals so you can see the work having an effect, even before you see the recommendation.
Google AI Overview citations — which respond to on-site structured data and content changes — can improve within 4–8 weeks. Generative AI platform recommendations (ChatGPT, Perplexity) are slower to change because they depend on the publication and citation landscape, which builds over months. Meaningful improvement in AI platform presence typically takes 4–6 months of sustained work.
No — it extends it. Traditional SEO (rankings, organic traffic) remains important. AI visibility adds a second layer of presence above and alongside those rankings. The businesses that will win in search over the next 5 years are those that invest in both — not one or the other.
Yes — that's the most common starting point. The audit will establish a baseline, and the strategy will prioritise the interventions with the fastest and highest-impact path to initial AI visibility. Starting from zero is not a disadvantage — it means there are clear, addressable gaps rather than marginal optimisations.
We track proxy signals: AI Overview citation presence (directly measurable in GSC and manually), brand mention volume and sentiment, review platform velocity, structured data validation, and regular AI platform audits (prompting with buyer queries and documenting responses). We report on all of these monthly with clear trend lines.
Start with an AI Visibility Audit — we'll map your current AI search footprint, benchmark against competitors, and show you exactly where the gaps are.