AI Search Is Already Adopting Your Business. Is It Telling the Right Story?

Most enterprise conversations about AI frame adoption as a decision: which tools to bring in, which workflows to automate, how fast to move. In search, that framing misses what’s already happening. 

Search used to mean typing a question into Google and choosing from a list of links. Increasingly, the answer comes first. It arrives either as an AI-written summary at the top of Google’s results, known as an AI Overview, or as a direct response from an AI assistant such as ChatGPT, Gemini, Perplexity or Claude. That’s AI search, and buyers now use it to research and shortlist suppliers, often before anyone in sales gets involved. 

While businesses may have a choice whether to adopt AI tools, AI search is adopting businesses whether they’re ready or not. 

These tools take in what’s publicly available about a company – its website, its press coverage, what others have written about it – and build their own version of its story. They then serve that version to buyers, often without anyone clicking through to the company’s website. 

Why search rankings hold while website traffic falls 

Many leaders are looking at the same puzzling report right now. Their website still appears near the top of Google for the searches that matter, yet fewer people are visiting from those searches. The instinct is to treat it as a technical fault, but usually nothing’s broken. 

The answer is increasingly given on the results page or inside the AI chat window, so the click through to a website is no longer guaranteed, or even needed. A buyer comparing vendors can ask an AI tool to summarize the market, compare providers and build a shortlist before a single sales team knows they exist.

Doing nothing wrong isn’t the same as doing enough 

Plenty of organizations losing ground aren’t doing anything wrong by traditional marketing standards. The B2B buying journey simply spans more platforms than any single channel can cover. 

In our experience, a single buying decision now runs across 10 or more touchpoints and at least four platforms, spanning Google, ChatGPT, Bing, LinkedIn, Reddit, press coverage and a company’s own website. A brand that’s visible in only one of those is invisible for most of the journey. AI fills the gap regardless, piecing together a picture from whatever it can find, which may be incomplete, out of date or missing altogether. 

If a business isn’t named in the AI’s answer, it isn’t just further down a list. It’s out of the running, never even seen to be dismissed. 

What AI tools trust 

AI tools don’t form their own opinions about who’s good. They repeat what they can find evidence for. They take a company’s own website into account, but give more weight to what independent sources such as the press and industry publications say, because a brand’s claims about itself carry less credibility. 

Muck Rack’s May 2026 “What Is AI Reading?” report found that 84% of the links cited by ChatGPT, Claude and Gemini come from earned media. That tells businesses where the trust sits. AI models don’t take a brand’s word for its own expertise. They cite the neutral, credible source that has validated it. 

It also means coverage should be judged on whether the engines actually use it, not just on reach. A PR coverage checker will show, piece by piece, whether an article was cited, whether the publication it sits on was cited instead, or neither. 

Not every AI tool behaves the same way, either. The same content can be cited quite differently by Google’s AI Overviews, ChatGPT, Gemini and Perplexity, so each needs checking separately. Technical groundwork, such as structured data that labels a website’s information so machines can read it, helps these tools understand what a business offers. But it’s the price of entry, not what wins a mention. 

How to shape the way AI adopts your business 

Businesses can influence the story AI tools tell about them. A few principles make the biggest difference. 

First, get your core facts straight, everywhere. Decide the handful of things you want AI tools to repeat about your organization, such as what you do, who you serve and where you operate. State them the same way on your website, your profiles and in the coverage about you, because inconsistency is usually where misrepresentation creeps in. 

Second, write content AI tools can quote. These tools favor clear, direct answers they can lift and repeat. Content that answers the questions your buyers actually ask, in plain language, gives them something usable. Keeping it fresh matters too, as these tools favor information that looks actively maintained. 

Third, get onto the pages the answers are built from. Every AI answer is assembled from sources, and for buying questions those are often “best of” lists and comparison articles on publications the engines already trust. Securing a place on those pages counts for more than anything you say about yourself. 

Last, make it everyone’s job. AI visibility is a collective effort across marketing, PR, technical and search teams. Run each channel separately, with its own owner and budget, and they end up competing for attention instead of building on each other. 

At Nomada Digital, we sequence this through our Cross-Platform Visibility Framework. It starts with organic search and AI visibility, which is the job of our product, alwayscited. It tracks the questions buyers put to the AI engines, finds the pages those answers are built from, and gets the brand named inside them. Website conversion comes next, then the authority layer of earned media, with paid search expanding last. Each layer builds on the one before it. 

That’s also why earned media now sits closer to search than ever. A mention in a publication buyers already trust builds confidence with the reader and gives AI tools a source they already believe in. Online, it can also bring links back to a company’s website, new visitors and more people searching for the brand by name. 

What this looks like in practice 

We recently worked with a US SaaS company building cloud-based point-of-sale software for retailers. It had a strong product but had launched into a category dominated for a decade by much bigger names, and it was barely showing up in the AI answers buyers rely on. 

We tracked the questions retail buyers were asking the AI engines and found the pages those answers were built from, mostly “best of” list articles on high-authority publications. We then secured the brand a place on them, alongside on-site content organized around the same buyer questions. In one instance, a list article went live in the morning and Google’s AI Overview was citing it, naming the brand Best Overall, by that evening. 

Within two weeks of the first placement going live, the brand’s visibility in ChatGPT across the buyer questions we tracked went from 0% to 25%, with that article being the source ChatGPT cited. On Google, its main commercial keyword moved from #83 to #4 within eight weeks and reached number one four months in. Traffic from buyers who weren’t searching for the brand by name grew by nearly 1,000 visits a month. 

Measuring visibility when the click disappears 

When the click isn’t guaranteed, website traffic can’t be the headline measure. The better lens is presence: whether a business is named when buyers put real questions to Google’s AI Overviews, ChatGPT and similar tools. 

The practical way to measure presence is prompt tracking. Agree the commercial searches that matter and the questions your buyers ask around each one. Then check whether each AI tool names you, how that changes over time, and which competitors are being recommended instead. Do it often enough to see the answers move, not as a one-off snapshot. 

Underneath that sit the signals showing whether trust and authority are building, such as more people searching for the business by name, links earned through coverage and visits from other websites. The visits AI tools do send matter too. In some of the accounts we work on, we’ve seen visitors arriving from AI tools convert at up to eight times the rate of visitors from Google. 

The question worth asking now 

The organizations adapting well aren’t necessarily the biggest. They’re the ones that stopped asking how to rank higher on Google and started asking how to stay visible everywhere a buying decision gets made. 

That holds across borders too. The engines answer a buyer in Chicago and a buyer in Manchester from the same pool of sources. So a UK business expanding into the US, or a US company selling into the UK, has to be named on the pages that market’s buyers – and its AI answers – rely on, not just on its home turf. 

A simple starting point is to ask ChatGPT the questions your customers would actually ask about your category, and see whether you show up, whether the answer is accurate and who’s being recommended instead. For a wider read, a free LLM visibility checker puts the same buyer questions to Google’s AI Overviews, ChatGPT, Gemini and Perplexity at once. AI search is going to form a view of your business either way. The only choice left is whether you have a hand in shaping it.