Be the brand AI recommends when your customers ask.

Agentic engine optimisation is the work of making your brand more likely to be mentioned, recommended, cited and chosen by AI assistants and agents such as ChatGPT, Gemini, Perplexity and Google’s AI Overviews, including agents that compare options and complete purchases for people. These tools answer questions directly rather than listing websites, so being part of the answer matters. The work covers creating clear, authoritative content, making sure accurate information about your brand exists across trusted sources, earning mentions on the sites AI tools rely on and tracking how often you appear. It is closely related to SEO but focused on how language models choose what to say.

SEO, or search engine optimisation, focuses on ranking in traditional search results. GEO, generative engine optimisation, is about being included and cited in answers written by generative AI such as ChatGPT or Perplexity. AEO, agentic engine optimisation, goes a step further: it covers those answers and the AI agents that research, shortlist and buy on someone’s behalf, which need clear, structured and trustworthy information to act on. In practice they overlap heavily. All three reward clear, trustworthy content and a strong brand reputation, which is why we plan them together rather than as separate projects.

Each assistant works differently, but they generally draw on two things: what the model learned during training and what it finds when it searches the web in real time. Brands that are frequently and positively discussed across reputable sources, such as publications, review sites, forums and comparison articles, are more likely to be recommended. Clear, well-structured content on your own site helps assistants understand what you offer. We study which sources each assistant cites for your category, then focus effort where it is most likely to change the answer.

No one can honestly guarantee placement in AI answers, because the assistants are owned and controlled by the companies that build them and their outputs change over time. What we can do is improve the signals that make recommendation more likely and track the results carefully. We test your priority prompts regularly, measure how often you are mentioned and how you are described, and report clearly on progress. That gives you an evidence-based view of what is working rather than promises nobody can keep.

We build a set of prompts that reflect how your customers actually ask questions, then run them across ChatGPT, Gemini, Perplexity and Google AI Overviews on a regular schedule. For each answer we record whether you appear, how you are described, which competitors are mentioned and which sources are cited. Over time this shows trends in your visibility and highlights the gaps worth closing. Because AI answers vary, we look at patterns across many runs rather than relying on a single response.

No. Traditional search still drives a large share of website traffic, and many AI tools draw on web search results when they answer questions. Strong SEO foundations, such as a technically sound site, authoritative content and quality links, make AI visibility easier to achieve. We see the two as complementary. Our approach strengthens your organic rankings and your presence in AI answers at the same time, so you are not forced to choose between today’s main channel and the one that is growing fastest.

Content that answers specific questions clearly, accurately and in depth tends to perform best. That includes well-structured guides, comparison pages, FAQs, product information with clear specifications and pages that explain who you serve and why you are credible. Plain language, logical headings and up-to-date facts all help assistants understand and quote your content. We also look beyond your website, because what others say about you on review sites, in the press and in community discussions often shapes AI answers as much as your own pages.

This is common, especially with outdated pricing, discontinued products or old company details. We identify where the incorrect information is coming from, which is often an old page, a third-party listing or an out-of-date article. We then update your own content, correct listings you control and reach out to publishers where appropriate. Clear, consistent information across trusted sources gives assistants a better picture to draw on. We keep monitoring afterwards to confirm the answers are improving. It is also worth publishing a clear, regularly updated page with your key facts, so assistants have an authoritative source to draw on.

Yes, and often especially so. Buyers increasingly use AI assistants to research suppliers, compare options and build shortlists before they ever contact a sales team. If your company is not mentioned at that early stage, you may never be considered. For B2B brands we focus on the questions buyers ask during research, the comparison and review sources that influence them, and clear content about your expertise, use cases and credibility. The same principles apply to ecommerce and consumer brands, with different sources and prompts.

It varies by category, competition and how established your brand already is. Some improvements, such as fixing your own content and correcting inaccurate listings, can be reflected relatively quickly by assistants that search the web live. Changes that depend on wider reputation, press coverage and how models are trained take longer to show up. We set a baseline at the start, track your priority prompts regularly and report on movement, so you can see progress as it happens rather than waiting for a single result.