Your buyers moved to AI. Your brand didn't follow.

AI visibility is how consistently and accurately large language models surface your brand when answering questions relevant to your category. It matters because buyer behaviour has shifted. Decision-makers are no longer starting with a search engine and browsing links. They are asking AI systems for direct recommendations, and those systems respond with a short list of names. If your brand is not on that list, you are invisible at the most critical point in the decision journey.

LLMO stands for Large Language Model Optimisation. Where SEO optimises your position in a ranked list of links, LLMO optimises your inclusion in a generated answer. The ranking factors are fundamentally different. AI models surface brands based on entity authority, citation source quality, structured data consistency, and semantic accuracy across the web. Keyword density and backlink volume play a secondary role. LLMO is not a replacement for SEO. It is the next layer above it.

AI models are trained on vast bodies of web content. They build associations between entities, industries, and attributes based on what is consistently and accurately written about a brand across high-authority sources. Brands that are cited frequently, described consistently, and referenced by trusted publications develop strong entity authority. That authority determines whether a model surfaces them confidently or not at all. It is less about what you say about yourself and more about what the wider web says about you.

Citation Share is the metric we use to measure how consistently AI models mention and correctly describe your brand in response to relevant queries. It is expressed as a percentage across the models we scan. A high Citation Share means the engines know who you are, what you do, and describe you accurately. A low Citation Share means you are either invisible, vague, or being described incorrectly. It is the single most important number for understanding your current AI visibility position.

Yes, and it happens more often than most brands realise. AI models can hallucinate details about your founding, your services, your team, or your market position. They can confuse you with a similarly named company, misattribute quotes, or describe a version of your business that is years out of date. This is not a minor inconvenience. If a potential client asks an AI for a recommendation and receives inaccurate information about you, that shapes their perception before you have had a single conversation. Identifying and correcting these hallucinations is a core part of what we do.

The scan sends a structured query about your brand to three major AI models simultaneously and analyses the responses. It measures your Citation Share across each model, the sentiment of how your brand is described, and whether the information returned is accurate, partial, or uncertain. It is a surface-level read, not a full audit. It is designed to tell you whether you have a visibility problem worth investigating further, not to provide the full diagnostic picture.

The Deep Diagnostic is a comprehensive audit of your brand's AI visibility position. You receive a structured report covering your entity accuracy across platforms, the specific sources AI is using to form opinions about your brand, a full competitor gap analysis showing why the engines are recommending others over you, and a prioritised action plan. It is a one-time engagement that gives you the strategic clarity to make informed decisions about where to invest next.

Five business days from kickoff to delivery. Every engagement begins with a 30-minute scoping call to align on your brand context, key competitors, and the queries most relevant to your category. The final report is delivered as a structured document with an optional walkthrough session included. Book that call here.

It is built for brands that have identified a visibility gap and want to close it systematically over time. AI visibility is not a one-time fix. The models update, the web evolves, and your competitors are not standing still. Ongoing Optimisation is a continuous system: we restructure your content for AI legibility, manage your entity signals, monitor your Citation Share monthly, and iterate weekly. It is senior-led at every stage. There are no junior handoffs.

Start with the free scan at the top of this page. It takes 10 seconds and gives you a baseline Citation Share score across three AI models. If the results show a gap, the next step is the Deep Diagnostic, which maps exactly where the problem is and what it would take to fix it. If you already know you have a problem and need to move fast, skip straight to booking a call with the team.