AI Search · GEO · AEO
ChatGPT, Perplexity, Gemini and Google AI Overviews now handle millions of queries every day. Appearing in those answers is an evolution of what good SEO has always done - building authority, depth and trust at scale.
Search is shifting from lists of links to generated answers. Increasingly, users get what they need without clicking through, and the brands that appear in those answers shape the outcome. If you’re not included or cited, you’re not part of that decision-making process.
Strong SEO is still the foundation, but it’s no longer enough on its own. Getting the fundamentals right is a prerequisite, not an alternative, but AI systems don’t just rank pages, they select, summarise and attribute sources. That requires ensuring your brand is clearly understood, consistently associated with key topics and structured in a way that makes it easy to be referenced. That’s the layer we add.
GEO is about becoming a cited authority in LLM responses. When a user asks ChatGPT or Perplexity a question in your space, the brands that appear consistently got there because their content signals authority to the model. This involves content architecture, direct answer formatting, entity coverage and building the topical authority signals that large language models use when deciding what's worth attributing.
AEO focuses on visibility in the platforms that serve direct answers; Google's AI Overviews, featured snippets and voice assistants (including Siri, Google Assistant and Alexa). Where GEO builds authority in open-ended LLM responses, AEO targets structured answer placements. The tactics overlap - structured data, FAQ schema, direct answer formatting - but the targeting is specific to these platforms.
Ensuring AI systems can clearly understand what your brand is about. Language models form an implicit view of entities based on signals across sources such as Wikipedia, press coverage, structured data, directories and linked mentions. If those signals are weak or inconsistent, the likelihood of being cited drops. Entity work is about strengthening and aligning those signals so your brand is clearly defined and more likely to be referenced when it matters.
You can't improve what you don't measure. We track citation share across ChatGPT, Perplexity, Gemini and Google AI Overviews for target queries, run share-of-voice analysis against named competitors and build dashboards that show how AI search visibility changes over time.
We start by measuring where you currently stand. Citation share across target AI platforms, entity footprint strength, content coverage gaps versus competitors. We don't guess - we run the analysis and document what we see.
From the audit, we build a prioritised plan. Entity and structured data work first. Then content - restructuring what exists, filling the gaps the audit surfaced. Then citation seeding. Every recommendation is costed and prioritised by expected impact.
We deliver the work, or we work alongside your in-house team or agency partners to make sure they can. Recommendations that sit in a document don't improve citation rates.
Tell us what you're trying to achieve. We'll tell you honestly whether we can help - and scope a proposal within a week.