The way customers find, assess and get help from a brand is changing faster than most customer journeys have been designed for. For more than twenty years, a brand's website was where the customer experience happened, with search bringing people to the door and the site taking it from there, whereas AI summaries, assistants and agents now increasingly answer the question, make the recommendation or resolve the issue before anyone has reached the site at all.

That doesn't make the website any less important, but it does change what surrounds it, and it turns the question of what AI is doing to the customer experience into one about the people trying to find a business, buy from it and get help from it. The pace of that change differs a good deal between sectors and audiences, although the direction of travel is consistent enough to plan around.

If an AI described your brand tomorrow, would you recognise it?

It sounds like a light exercise, but it tends to surface a good deal very quickly, and the answers are often more revealing than the organisation expects. Asking a handful of AI assistants and AI-enabled search tools to describe the brand, explain what it offers and answer the questions customers typically bring will usually show how accurately products and services are summarised, whether pricing, eligibility and contact details are current, and how the brand is positioned against its competitors.

The differences between what comes back and what the organisation would say about itself are where the interest lies. Sometimes the cause is simple, such as an outdated page or a PDF that has outlived its purpose, while at other times the same information is held in several places with slightly different wording, leaving an AI to choose between them or to blend them into something that sounds plausible but isn't quite right. Third party sources such as review sites, directories and old press coverage often carry more weight in an answer than teams expect, which is a reminder that a brand is now described from many places at once, only some of which the organisation controls.

It is worth treating the results as a snapshot, since different tools give different answers and the same tool can answer differently from one day to the next. Even so, the exercise is useful at board level because it makes an abstract concern concrete, and because it points directly at the questions of content quality, ownership and governance that tend to determine how well a brand is understood, which is where the rest of this piece is heading.

Three shifts every customer journey needs to account for

The front door to a brand has moved, and the evidence for that shows up in three places, each with its own data and its own trade-offs.

1. Discovery is moving from search to answers

Clicks on traditional search results have fallen noticeably. Pew research found that when an AI summary appears, people click a conventional result in around 8% of visits, compared with 15% when there is no summary. Bain's research points the same way, suggesting that around 80% of consumers now rely on searches that end without a click for at least 40% of their queries. Estimates of the effect on organic traffic vary, but a reduction of 15 to 25% is a reasonable planning range.

For most organisations, the implication is less about abandoning search and more about recognising that visibility increasingly means being understood and described accurately by the systems that answer on a customer's behalf.

2. Service is moving from tickets to agents

Gartner expects agentic AI to resolve around 80% of common, repeatable customer service issues without any human involvement by 2029. Customers, however, are not moving at the same pace, with 64% saying they would prefer companies didn't use AI for service and 53% saying they would consider switching to a competitor if they did.

Those two things can sit side by side, and the tension between them is probably the most interesting part of this shift. Organisations are being asked to deliver a service experience that AI makes faster and more consistent while customers remain unconvinced, which tends to put the emphasis on design, on being clear about where AI is helping and on keeping a straightforward route to a person when it matters.

3. Value is moving from pilots to production

According to McKinsey, almost nine in ten organisations now use AI regularly in at least one business function, yet only 44% say it is scaling across the enterprise. MIT's research was blunter, finding that 95% of enterprise generative AI pilots delivered virtually no measurable impact on profit and loss, and Gartner anticipates that more than 40% of agentic AI projects will be cancelled by the end of 2027.

It is worth reading those figures with some care, since many of the projects concerned are early and what counts as measurable varies from one study to another. Even so, the pattern is consistent enough to suggest that getting from a promising pilot to something dependable is where most of the difficulty sits.

What sits beneath the model

What tends to separate the organisations further ahead is what sits underneath the model they selected, namely content that is structured so machines can read it properly, data that is clean and well governed, and a customer journey that is smooth and efficient without AI stepping beyond the boundaries it has been given.

None of this is especially glamorous, and much of it is the kind of foundational work around content modelling, platform architecture and governance that has always mattered in digital. What has changed is that the cost of neglecting it is now visible in how a brand is described and how a customer is served, often before anyone has reached the website at all.

Where you actually stand

For organisations wanting a clearer view of their position, we are running a limited number of AI readiness audits ahead of Q1 2027 budgets being set. It is a 60 minute working session with our team, and you will leave with a scored view across discovery, service and data, along with a plan for the following 12 months. Get in touch to learn more.