Buyers increasingly ask AI assistants before they ever open a search results page. We help your brand become the source those systems cite, summarise and recommend.
Growth & Search — illustrative focus areas
A programme built for how large language models retrieve, weigh and cite information.
We define your brand as a clear entity so AI systems associate you with the right topics and attributes.
Schema and clean markup that make your content machine-readable and quotable.
Concise, well-sourced content structured to be lifted directly into AI responses.
Presence across the credible sources these models draw upon, from directories to editorial.
We map the questions users ask assistants in your category and the answers they receive.
Ongoing tracking of how your brand appears across assistants and AI Overviews.
Focused services within AI Search Optimisation, which you can engage individually or as part of a wider programme.
Get recommended by AI, not just ranked by Google — visibility across the assistants and answer engines buyers now use.
Shape how large language models understand and represent your brand — so you appear in the answers that matter.
Influence how ChatGPT describes and recommends you — through authoritative content and clean, citable information.
Improve how Google Gemini and AI-powered search understand your brand — aligned with Google's wider ecosystem.
Become a cited source in Perplexity's answers — through credible, well-referenced content the engine surfaces.
Optimise for generative results across engines — structured, authoritative content designed to be quoted and cited.
Win the direct answer — content and markup designed to be the response for the questions your buyers ask.
One strategy for both traditional and AI search — so you win the click and the citation across every surface.
Earn a place in Google's AI Overviews — with content structured to be summarised, cited and trusted.
Understand and shape how AI engines talk about your brand — accuracy, sentiment and share of answer, measured over time.
Large Language Model Optimisation — a structured programme to make your brand the trusted, cited answer across assistants.
A disciplined approach to an emerging channel — grounded in fundamentals, not hype.
We test how assistants currently describe your brand and category.
We identify the prompts, entities and sources that shape those answers.
Content, schema and data are reshaped to be understood and cited.
We build presence across the sources these systems trust.
We monitor visibility inside assistants and refine continuously.
Generative search rewards clarity, structure and credibility. We shape your content and data so AI systems can understand, trust and surface it accurately.
Illustrative targets for an evolving channel.
Figures shown are illustrative and for demonstration purposes only.
The questions prospects ask us most often about this work.
It is genuinely different. SEO earns ranked links; AI search earns citations inside assistant answers. The groundwork overlaps, but the target — being the source a model quotes — is new, and it is optimised for differently.
We track how assistants describe and cite your brand across a defined set of buyer prompts, and how that changes over time. It is an emerging channel, so we are candid about what is measurable and what is still directional.
Establishing presence now is far cheaper than catching up once your category is saturated. We would rather scope a focused, low-risk start than have you arrive late to a channel your competitors already own.
It can. Assistants weigh clarity, consistency and credible mentions as much as age. A new site with a sharp, well-structured presence can be cited alongside far older ones.
Tell us where you want to be. We will show you a realistic route to get there.