Ask your own team how they researched the last supplier they shortlisted. A growing number will tell you they did not start with Google. They asked an AI assistant, got three to five names back, and treated that as the market.
That answer is the new front page. There is no page two. There is no position seven. A brand is either in the answer or it does not exist for that buyer.
This article explains what Answer Engine Optimisation (AEO) is, how it differs from the SEO you already do, how AI engines actually decide which brands to recommend, and what a UK B2B brand should do about it, in order.
What is AEO (Answer Engine Optimisation)?
AEO is the practice of making your brand traceable, understood, and recommended by AI engines such as ChatGPT, Perplexity, Gemini and Google’s AI Overviews.
The distinction from SEO is simple. SEO optimises your website to rank in a list of links. AEO optimises your brand to be the answer itself. When a buyer asks “who are the best [your category] providers in the UK”, the engine does not return ten blue links. It composes a short, confident recommendation, and it builds that recommendation from what it can find, verify and trust about a handful of brands.
If your brand is fragmented across the web, inconsistent in how it describes itself, or absent from the sources the engines trust, you do not get a low ranking. You get silence.
How do AI engines decide which brands to recommend?
Nobody outside the AI labs knows the exact weighting, and anyone who claims otherwise is selling certainty they do not have. But the observable pattern across engines is consistent. They favour brands that show:
Authority. Mentions in trusted publications, industry directories and credible third-party sources, not just your own website.
Consistency. The same name, the same description, the same facts everywhere. If your website, your LinkedIn page and a directory each describe you differently, the engine’s confidence in the entity drops, and uncertain entities do not get recommended.
Structure. Content the machine can parse: clear headings, question-shaped pages, schema markup that states in machine-readable form who you are, what you sell and what it costs.
A story worth repeating. This is the one most technical guides miss. An AI engine recommending a brand is, in effect, retelling that brand’s story. If the story is vague (“we deliver innovative solutions”), there is nothing to retell. If it is sharp (“the consultancy that trains in-house teams to be visible in AI search”), the engine has a sentence it can use.
Why your SEO is not enough
Most UK B2B brands I audit have respectable SEO. They rank for their keywords, the technical hygiene is fine, the traffic is steady. And their AI visibility is poor.
The reason is that SEO and AEO reward different behaviours. SEO rewards targeting keywords on your own domain. AEO rewards being a coherent, well-evidenced entity across the whole web. You can win the keyword and still be invisible in the answer, because the engine is not asking “which page matches this query”. It is asking “which brands do I know, trust and understand well enough to put my name behind”.
That is also why the standard agency playbook falls short here. An agency optimising your media spend is not building your entity. An intelligence tool showing you dashboards is not writing your story. Both are useful. Neither makes you the answer.
The sequence that works: story, organic, paid
After more than twenty years in B2B marketing and over £100M in managed ad spend, the clearest lesson of the AI era is this: the order of operations matters more than the budget.
First, story. Define what you are, for whom, and what makes you different, in language a machine can repeat and a buyer can remember. No story, no signal.
Second, organic. Publish content that proves the story: answers to the real questions your buyers ask AI, in formats the engines can lift. This is what makes you traceable.
Third, paid. Amplify what is already working. LinkedIn Ads on top of a clear story and visible organic presence perform. LinkedIn Ads instead of them burn budget. I have told prospective clients to delay their campaigns for exactly this reason, and the ones who listened spent less and got more.
Most brands run this sequence backwards. They buy media first, wonder why it underperforms, and never get to the story at all.
What should a UK B2B brand do first?
Five moves, in priority order:
1. Audit your AI visibility. Take the ten questions a buyer would ask AI in your category and run them across ChatGPT, Perplexity and Gemini. Note who gets named, what is said about them, and whether you appear at all. This baseline takes an afternoon and changes how your leadership sees the problem.
2. Fix your entity. One name, one description, one set of facts across your website, LinkedIn, directories and anywhere else you appear. Boring work, outsized effect.
3. Add structured data. Schema markup for your organisation, your people, your services and your FAQ. It is the difference between hoping the machine understands you and telling it directly.
4. Publish question-shaped content. Pages and posts whose headings are the literal questions buyers ask, with self-contained answers underneath. Engines lift answers, not essays.
5. Train the team. Tools change monthly. The capability to read the signals and make positioning decisions has to live in-house, or you are renting your visibility from whoever you outsourced it to.
How do you measure AEO progress?
Track three things monthly: whether AI engines mention your brand for your core buyer questions, what they say when they do, and which sources they draw on. The second is the one boards under-rate. Being mentioned with the wrong story can be worse than not being mentioned, because the engine will repeat that wrong story to every buyer who asks.
Visibility in AI search moves slower than a paid campaign and faster than classic SEO. Expect a quarter before the needle moves, and judge progress quarterly, not weekly.
The uncomfortable conclusion
Every B2B brand in the UK is currently being described to buyers by machines, with or without its participation. The only choice is whether you shape that description or inherit it.
Invisible to AI, invisible to buyers. The brands that act on that sentence in 2026 will own the shortlists their competitors are still trying to rank for.
Enso Digital runs the AI and Digital Strategy Programme: a six-month engagement that builds your story, makes it visible in AI search, and trains your team to keep it that way. If you want to know where you stand today, start with a Digital Presence Audit or book a call.