Most brands still have no deliberate strategy for AI search. They have an SEO programme, perhaps a content calendar, maybe a backlink strategy - but nothing specifically designed to influence what ChatGPT says when someone asks it to recommend a supplier, tool, or service in their category. That gap is becoming expensive. AI search engines are not just another channel. They are increasingly the channel where consideration decisions get made, and right now the brands showing up in those outputs are mostly there by accident.
Generative Engine Optimisation - GEO - is the discipline of making your brand visible, credible, and citable to AI systems. It is distinct from traditional SEO in important ways, and the strategies that work are increasingly well-defined. Here is what actually moves the needle in 2026.
1. Structure Your Content for Machine Comprehension
AI search engines do not read websites the way humans do. They pull structured, unambiguous information - definitions, comparisons, factual statements, clear entity relationships. If your content is written primarily for persuasion or brand tone, it is likely being skipped over entirely when an AI system is assembling a response.
The practical fix is to audit your core pages for machine-readable clarity. Does your homepage clearly state what you do, who you do it for, and where you operate? Does your about page describe your expertise in factual terms rather than marketing language? Are your service pages answering specific questions with direct answers before elaborating? These are not aesthetic choices - they determine whether an AI can confidently cite you as a source.
Schema markup matters here too. FAQ schema, HowTo schema, and Organisation schema all help AI crawlers categorise your content accurately. This is not optional groundwork anymore - it is table stakes for GEO.
2. Build Topical Authority Through Depth, Not Volume
AI engines favour sources that demonstrate genuine expertise across a topic cluster, not sites that have published a high volume of thin articles. If you want to be cited when someone asks about your category, you need to own a coherent body of content that signals depth of knowledge - not just breadth of keywords.
Practically, this means building pillar content that goes beyond the surface level. If you operate in B2B SaaS, your content should cover the concepts, terminology, common problems, and decision frameworks that practitioners in that space actually think about. Articles that reference industry terminology accurately, explain nuance, and address edge cases are the ones AI systems treat as authoritative sources.
The mistake most brands make is publishing content that sits at category level - generic guides that could have been written by anyone. AI engines can detect this, and they tend to favour sources that have a distinct, consistent point of view grounded in specific knowledge.
3. Earn Citations From Sources AI Engines Already Trust
AI search engines are trained on large bodies of existing content, and they assign credibility partly based on which sources already reference you. This makes third-party citation building a core GEO strategy - not just for SEO domain authority, but for AI trust signals specifically.
The sources that matter most are those with high AI training weight: established industry publications, Wikipedia, recognised directories, academic or research adjacent content, and well-indexed news sites. Getting your brand, products, or spokespeople mentioned in these contexts - through PR, contributed content, expert commentary, or data studies - builds the association graph that AI engines use to verify credibility.
For UK businesses specifically, appearances in publications like The Guardian, The Telegraph, City A.M., sector-specific trade press, and .ac.uk domains carry meaningful weight. A structured digital PR effort aimed at these outlets is one of the most direct investments you can make in AI visibility.
4. Optimise for Conversational Query Formats
Users interacting with ChatGPT, Perplexity, or Gemini are not typing short keyword strings. They are asking full questions, describing scenarios, and requesting recommendations with context. Your content needs to match this query format if it is going to surface as a relevant answer.
Answer Engine Optimisation - AEO - is the tactical layer of GEO that focuses on this specifically. It means identifying the natural language questions your target customers are asking, and creating content that answers them directly, completely, and concisely. Tools like AlsoAsked and Semrush's question data can help surface these. But the more useful exercise is simply writing out the ten questions a serious buyer would ask before choosing a supplier like you, and making sure your site answers every one of them clearly.
This is also where FAQ content earns its keep. Not the boilerplate FAQ sections that populate footers, but genuinely useful Q&A content placed close to relevant service or product pages, marked up correctly, and written in the same register as the questions being asked.
5. Monitor Your AI Search Presence Actively
You cannot optimise what you are not measuring. Most brands have no idea what AI engines currently say about them, their competitors, or their category. This is a significant blind spot given how much of the consideration journey is now happening inside these tools.
Start with manual audits. Run your brand name, your key service categories, and your most competitive queries through ChatGPT, Perplexity, Google AI Overviews, and Gemini. Document what comes back. Are you mentioned? Are competitors? What sources are being cited? This gives you a baseline. Then repeat it regularly - AI outputs shift as models are updated and new content is indexed.
Tools specifically designed for AI visibility tracking are emerging - platforms like Brandwatch and dedicated GEO monitoring tools are beginning to surface citation data across AI engines. They are not yet as mature as traditional rank tracking, but the category is developing quickly and building this into your reporting stack now puts you ahead of the majority of brands who are still flying blind.
What This Means for Your Marketing Programme
GEO is not a replacement for SEO - it is an extension of it that requires some different thinking. The brands that will appear consistently in AI-generated recommendations over the next two years are the ones building structured, authoritative, deeply useful content now and pairing it with deliberate third-party citation strategies. Waiting for a clear playbook to emerge is a reasonable-sounding approach that will cost you ground.
The five strategies above - structured content, topical authority, trusted citations, conversational query optimisation, and active monitoring - are not experimental. They are the documented mechanisms through which AI engines select and surface sources. Each one is actionable today, without waiting for platform updates or new tools. The question is simply whether your brand is working on them deliberately or leaving your AI search visibility to chance.