Generative engine optimisation
AI GEO helps your organisation present information in ways that are easier for generative search and answer systems to interpret, verify, and use responsibly. We improve the underlying website, content clarity, structured context, and source signals—without promising mentions, citations, visibility, or inclusion in any AI-generated answer.
Designed around your business
Generative systems draw on changing sources, retrieval methods, models, policies, and user contexts. No agency can control whether a system mentions, cites, summarises, or ignores a business. Our work focuses on the parts you can improve: clear and authoritative content, well-structured information, consistent entity details, accessible pages, transparent evidence, useful FAQs, and a website that supports both people and machines. We assess how your organisation is represented across relevant sources, identify gaps or ambiguity, and prioritise improvements that also strengthen conventional search and user trust. AI GEO is therefore a practical content and information discipline—not a promise of inclusion in an answer engine.
Consistent descriptions, services, people, locations, expertise, and evidence reduce ambiguity across the sources where your business is understood. That clarity benefits customers, search systems, partners, and internal teams alike.
We improve structure, language, context, and supporting evidence so important answers are easier to locate and interpret. The result is more useful content, not awkward writing designed around a speculative system behaviour.
We separate observable improvements from uncertain outcomes, document assumptions, and review how the information landscape evolves. You receive practical priorities rather than a black-box claim about algorithmic influence.
The work, made tangible
Deliverables are shaped around your priorities. These are the foundations we discuss when defining your engagement.
A review of important entities, services, claims, source pages, structured context, consistency, content quality, and relevant answer experiences, with uncertainty and evidence clearly distinguished.
Recommendations for clear organisation and service descriptions, author and expertise signals, terminology, FAQs, supporting evidence, internal links, and content gaps that affect understanding.
Agreed improvements to page structure, metadata, schema where appropriate, crawlability, accessibility, source consistency, and other foundations that help information be found and interpreted.
A review framework for relevant observations, source changes, content updates, and emerging patterns, with no claim that mentions, citations, rankings, or AI inclusion can be guaranteed.
Considered from start to finish
We identify priority audiences, entities, services, questions, claims, source materials, and business risks. This keeps the work anchored to useful understanding rather than vague pursuit of AI visibility.
We review your website and relevant public information for consistency, accessibility, structure, authority, ambiguity, and gaps. We record what can be observed and what remains inherently uncertain.
We prioritise content, technical, structured-data, and governance changes that make information clearer to people and systems. Recommendations are implemented with editorial care, not stuffed with unnatural phrasing.
We revisit the agreed signals and source landscape, explain changes cautiously, and update priorities as systems evolve. Any observed mention or citation is treated as an observation, never as a promised outcome.
A little clarity before we begin
No. We explicitly do not promise mentions, citations, recommendations, rankings, inclusion, or any particular wording in an AI-generated answer. Generative systems are controlled by external models, sources, retrieval, policies, and user context. We improve the quality and clarity of your information, then report observations honestly.
There is meaningful overlap in technical accessibility, useful content, structure, and clear entities, but the experiences differ. AI GEO also considers how information is explained, supported, represented across sources, and interpreted in answer contexts. We treat it as complementary work, not a replacement for sound SEO.
Usually not. The priority is often to make existing information more accurate, complete, well organised, and supported by evidence. We may recommend new pages or FAQs where genuine questions are unanswered, but we avoid thin, repetitive, or unnatural content created solely to influence an uncertain system.
We evaluate controllable improvements such as clarity, consistency, content coverage, technical accessibility, source quality, and user engagement, alongside carefully defined observations in relevant answer experiences. We separate those measures from AI inclusion, which remains external, variable, and impossible to guarantee.
The bigger picture
Your website, content, and discoverability work together. Explore the connected services that can support this engagement, or tell us what you need and we will help define the right scope.
A fresh start, built on experience
