GEO and AI Visibility
Your buyers now ask ChatGPT, Claude, Perplexity, and Google AI Overviews who to hire. We make sure the answer is you.
The discipline
Generative Engine Optimisation (GEO) is the practice of engineering your web presence so AI answer engines can find, trust, and cite your business when buyers ask them for recommendations. It is the natural successor to SEO. Where SEO competes for a rank in a list of links, GEO competes to be the cited source inside a single AI generated answer.
The shift
Search is shifting from a page of links to one synthesised answer with a handful of citations. When a buyer asks an AI engine for a recommendation and never sees a traditional results page, the rank you hold on a search engine is irrelevant to that moment. If your site is not structured for machines to read and quote, you are invisible in the answer. GEO is how you stay in it.
The signals
Retrievability
The engine can only cite what it can fetch. That means being crawlable by the AI bots, serving your content as real HTML rather than JavaScript only, and being present in the search indexes these engines draw from.
Answer shaped content
Models lift and quote self-contained passages. Content that answers one specific question up front, with clear definitions, comparisons, and statistics in context, gets quoted. Walls of marketing copy do not.
Atomic citable URLs
Engines cite a URL. A page about one topic is far more citable than a homepage about ten, so each service, case study, and question deserves its own page.
Entity authority
An engine has to be confident you are a real, identifiable business. That confidence comes from structured data and from corroboration across independent sources: your company profiles, directories, and named people with verifiable credentials.
Freshness
Recently updated content is weighted more heavily. Dated, structured signals tell an engine that your information is current.
Honest signals
We never fabricate reviews or ratings. Invented trust signals are the fastest way to get filtered out and the most likely thing to trigger a penalty.
The work
We engineer every one of these signals, then we measure the result.
Deliverables
Measurement
GEO is not deterministic. Ask the same engine the same question twice and the answer and its citations can differ, so we do not measure a single rank. We measure share of voice. We define the set of prompts your buyers actually use and the competitors you care about, then we query the major engines, ChatGPT, Claude, Perplexity, and Gemini, on a schedule and record how often you are mentioned, whether your site is cited, whether you are recommended, and in what position. You watch that share of voice move over time.
Proof
This is not theory we sell and skip ourselves. This site is engineered for GEO end to end: structured data, an llms.txt knowledge file, answer shaped content on dedicated pages, and the entity signals that make us citable. We track our own AI share of voice the same way we track yours.
Questions
GEO is the practice of optimising your web presence so AI answer engines like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews can find, trust, and cite your business when buyers ask them for recommendations. Search is shifting from a list of links to a single AI generated answer, and if your site is not structured for machines to read and quote, you are invisible in that answer. We engineer the structured data, the llms.txt knowledge file, the answer shaped content, and the authority signals that get a brand cited, then we track your AI share of voice over time. It is a service we offer, and we run our own site the same way.
SEO optimises to rank in a list of links. GEO optimises to be the source an AI engine trusts and cites inside a single generated answer. The two share foundations like crawlability and structured content, but GEO adds entity authority, answer shaped content, and machine readable knowledge files so a language model can quote you directly.
We optimise for and track the engines your buyers actually use: ChatGPT and ChatGPT Search, Claude, Perplexity, Google AI Overviews and Gemini, and Microsoft Copilot. Each retrieves and cites differently, so we engineer for the signals they share and measure each one separately.
We measure share of voice. We define your buyers' prompts and your competitor set, query the major AI engines on a schedule, and record how often you are mentioned, cited, and recommended, and in what position. Because AI answers vary between runs, we sample repeatedly and track the trend over time rather than a single snapshot.
Yes. By strengthening your entity signals, structured data, and the answer shaped content on your own pages, we shape both whether you are cited and how accurately an engine describes what you do. We cannot control a model's output directly, but we can control the sources it reads.