Visibility and citation research
Define the buyer questions, markets and platforms worth observing. Record where your business appears, which sources are cited and what the sample can tell us.
Help customers find and understand your business across AI-powered search. Our AI SEO and generative engine optimisation work connects technical accessibility, useful content, clear brand information and a repeatable way to review visibility.
Customers increasingly encounter AI-generated answers while researching a supplier, comparing products or asking a specialist question. Our AI SEO and GEO service focuses on the information behind those decisions: what your brand says, what trusted sources support and what an observed answer gets right or wrong.
We connect that work with your existing SEO, rather than treating AI search as a separate set of shortcuts. For Google AI Overviews and AI Mode, established SEO foundations remain relevant; inclusion is not guaranteed by a special file, schema type or content format.
Define the buyer questions, markets and platforms worth observing. Record where your business appears, which sources are cited and what the sample can tell us.
Review technical access and important page content. Help customers and search systems understand your products, services, expertise and supporting evidence.
Identify missing answers, inconsistent facts and opportunities to strengthen original, expert-led information. Prioritise changes that also improve the customer journey.
Repeat agreed observations, document the conditions and investigate changes. Connect AI search findings with your wider SEO and measurement programme.
Agree the customer questions and record what the selected experiences show.
Work on clear, accessible and consistent content within the wider SEO programme.
Repeat the sample, explain the changes and decide which improvements to investigate next.
AI SEO is our umbrella for improving discoverability across AI-powered search. GEO refers to generative engine optimisation; AEO is often used for answer engine optimisation. We explain these related terms within one joined-up service, with deliverables defined around your business rather than the label.
A focused AI visibility audit establishes an agreed question set, observed answers and citations, and a prioritised review of content and accessibility. You receive supporting examples and the limits of the findings.
An ongoing engagement can combine implementation support with repeat monitoring. We agree which platforms and questions are observed, how often they are checked and who owns the recommended work.
Answers vary by platform, prompt, time and user context. We report sample conditions and distinguish observed visibility from business impact. Mentions and citations alone do not demonstrate enquiries or revenue.
Start with the business question. Find the friction. Decide what deserves attention first. Our practical playbook gives your team a starting point for a more useful search conversation.
Build an AI visibility report that separates sampled answers, website activity and business outcomes. Clear definitions make the next decision more useful.
Clear information, useful content and a repeatable way to observe what appears. Our approach to AI visibility starts with questions a business can act on.
No. AI-generated answers vary and platforms control their own systems. Our work focuses on useful improvements and repeatable observation, with clear limits on what the evidence supports.
No. We consider AI-led discovery alongside organic search. Clear information, accessible pages and relevant content support the wider customer journey.
It adds observation of AI-led discovery to the brief, while sharing many of the same technical and content foundations. We connect the improvement work with SEO rather than create a duplicate content programme.
No. Platforms decide what appears and responses can vary. We can define a useful observation method, strengthen accessible and accurate information, and review changes with the limits of the sample attached.
An agreed question set and scope, recorded observations, information gaps and a prioritised roadmap. The proposal defines platforms, markets, sample size and review cadence rather than leave “AI visibility” open-ended.
Tell us which customers, questions and markets matter. We’ll discuss a useful starting point for understanding your visibility in AI-led search.