Generative Engine Optimization Agency

Generative Engine Optimisation (GEO) is about improving your chances of appearing inside AI-generated answers, not just traditional search results. Instead of focusing only on ranking positions, GEO focuses on: (1) being cited in credible, topic-relevant coverage and resources, and (2) making your own site’s structure, schema, and content clear enough that AI crawlers can understand and safely summarise it. The goal is simple: when someone asks an AI assistant a question, your brand is one of the options it confidently includes.

Traditional SEO largely targets search engine results pages (visibility, rankings, and clicks). GEO targets where generative engines get their information and how they choose what to reference in an answer. That means you’re not only improving your site — you’re also building presence in the third-party sources AI tools pull from. In practice, this leans heavily on topical authority, structured content, entity clarity (who you are, what you do), and credible mentions. GEO doesn’t replace SEO; it amplifies it.

It includes both. The service is described as combining SEO, digital PR, and technical expertise because AI visibility depends on 2 things at once: trusted external sources and “readable” owned assets. On the technical side, GEO work commonly covers site architecture, crawlability, schema, internal linking, and content templates, so your pages are accessible and interpretable for both search engines and AI crawlers. On the PR side, it focuses on earning high-value mentions and citations in relevant places.

GEO is particularly helpful where customers research carefully and ask detailed questions before deciding — for example, B2B services, universities, financial services, and membership organisations. If your audience is already using AI tools to compare options, ask “best provider” questions, or seek expert guidance, GEO helps ensure your brand is part of those conversations. If you’re absent, you risk disappearing from a growing share of searches where people never even reach a results page.

The starting point is understanding your organisation, your audience, and the “priority questions” that matter commercially. From there, GEO work typically identifies the key topics and entities in your space, then maps where AI tools are currently pulling answers from. That reveals the gaps: which questions you’re not being surfaced for, which sources are influencing answers, and what content/coverage would make you more likely to be mentioned. The output is a practical roadmap tied to the conversations your ideal customers are already having with AI.

The page outlines a 4-step, outcome-led process. It starts with Discovery (reviewing analytics, existing coverage, and search data to see where you’re visible or absent in AI answers). Then Technical Audit & GEO Strategy (auditing technical health, schema, internal linking, and content structure, plus analysing which third-party sources AI tools favour). Next is Implementation & Optimisation (technical fixes, content refinement, and PR/outreach for mentions). Finally, an Ongoing Campaign, because models and sources change.

GEO measurement blends “normal” SEO performance with AI-specific observation. You still track organic visibility, relevant traffic, and conversions, but you also monitor how and where your brand appears in AI-generated answers over time. The goal is to show what’s changing, which tactics are driving those changes (technical fixes, content structure improvements, or citation gains), and how that connects back to agreed KPIs such as leads, revenue, or applications. Reporting should be clear and jargon-free so you can see progress without guesswork.

GEO is not positioned as a one-off project. AI models evolve, sources change, and new assistants appear — so what gets cited today may shift next quarter. That’s why the page describes ongoing research, content briefing, technical refinement, and coverage support after the initial implementation phase. In other words, you can make strong foundational improvements early, but staying visible in generative results usually requires maintaining momentum as the landscape moves.

Typical on-site GEO improvements include tightening site architecture so important pages are easy to discover, improving internal linking so key topics are clearly connected, adding or refining schema to make page meaning explicit, and restructuring content so it’s clearer and safer to summarise. The page specifically calls out auditing and improving technical health, schema, internal linking, and content structure/templates so your owned assets are accessible to AI crawlers and still strong for traditional search. This supports both “being found” and “being used” as a source.