Zero-click search: reach the right buyer, even without the click

Imagine two people looking for help. One needs a plumber nearby and searches Google for someone available this week. The other is choosing a complex technology platform and spends an hour comparing explanations, videos and AI-generated answers before visiting a vendor’s website.

Those are plausible buying journeys, not rules for every plumber or technology buyer. But they expose a problem with the advice to “move from SEO to AI search”. The place to put your effort depends on who your customers are, what they need to decide and where they look for answers. If you don’t know that, adding another channel just gives you one more place to be vaguely visible.

Zero-click did not begin with AI

A zero-click search ends without the searcher clicking a result. They may get an answer on the results page, refine their search, follow a map result later or simply stop looking. That does not mean every such search had commercial value that a website has lost.

The pattern has been building for years. SparkToro’s analysis of Similarweb data estimates that 69.5% of Google searches in its UK browser panel ended without a click between January and April 2026. Its US study reports 68% and refers to roughly 45% a decade earlier. That supports the direction of the trend, although the historic studies used different data panels and should not be read as one continuous measurement.

AI has added more ways to get an answer before visiting a site. Yet it would be a mistake to treat every lost click as an AI click. Google has supplied answers, maps and other information within its own results for years. A page might still appear for relevant searches while attracting fewer visits; equally, a fall in visits might have another cause. You need your own data before deciding which problem you have.

Traditional search is still a large part of the picture. In a study of activity across 41 major websites, SparkToro and Datos found that roughly 80% of the searches they measured on desktop happened on traditional search engines. Commerce sites accounted for about 10%, social platforms 5.5% and AI tools 3.2%. Those figures describe that selected desktop sample, not all searches on every device. They are a useful reminder to keep the scale of the channels in perspective, not a forecast of what your customers will do next year.

Keep SEO, then look beyond it

Your website still needs to explain what you do, answer relevant questions and make it easy for a buyer to take the next step. It also needs the technical basics that allow search engines to find and understand it. Google’s own guidance says those SEO foundations remain relevant to its generative search features.

That makes the choice between SEO and AI visibility a poor one. For a local service business, Google Search and a properly maintained business listing might remain the most useful starting point. For a B2B firm selling a technical product, buyers may also investigate a problem in an AI tool, watch a demonstration on YouTube or consult a specialist publication before they search for a supplier by name. I would test these routes against actual buyers rather than assume the second group has abandoned Google.

Start with a few conversations. Ask recent prospects what prompted their search, where they looked first, which sources helped them make a shortlist and what they still could not understand. Compare their answers with the queries and pages in Search Console and the questions that arrive through enquiries or sales calls. You are looking for the places and questions that matter to your ideal customer, not a checklist of platforms on which every business must post.

Be useful where the buyer already is

If somebody can get the basic answer without visiting your site, putting half an answer on another platform and asking them to click for the rest is unlikely to make you memorable. Give them something complete enough to help with the question at hand. A concise explanation in a search result, a useful video, or a clear answer on a relevant platform can have value even when it produces no immediate session in analytics.

That value is difficult to attribute. Someone may remember your name and return directly, search for your brand later, recommend you to a colleague or do none of those things. Useful free advice does not create an obligation to buy. It does give the right buyer a chance to understand how you think and whether you might be able to help.

The quality of that answer matters more than the number of topics you can cover. AI can produce a serviceable summary of a general question in seconds. So can a hundred other websites. If your content merely reshuffles the same points, it gives a buyer little reason to remember who provided it.

A narrower answer might explain a trade-off you have encountered, show how you would diagnose a common failure, or share original research and company data that you are entitled to publish. The information still needs to be accurate and relevant; calling something “proprietary” does not automatically make it useful. But genuine observations and a clear point of view give you something more distinctive than a broad article written to catch every possible query.

For a small business, this is also a sensible use of limited time. Choose one customer problem you know well and answer it properly. Then adapt that answer for another place your buyers genuinely use. Chasing unrelated topics because a keyword tool reports volume can leave you with a sizeable audience that would never buy from you.

Give interested people a way back

Being useful on someone else’s platform should not be the end of the relationship. Make it easy for an interested person to see what your business does, recognise your name and contact you when the timing is right. If you have an email list that people have chosen to join, it can give you a direct way to share further thinking without waiting for a search result or platform feed to show it.

There is no need to turn every helpful answer into a sales pitch. But if someone is ready to investigate, the path should be obvious: a clear company profile, an understandable service page and a relevant next step. A memorable answer cannot compensate for a website that leaves the buyer guessing what you sell.

Establish a baseline before declaring success

Traffic is still useful, especially when a visit leads to an enquiry or helps someone understand a complex offer. It is simply incomplete as the sole verdict on your content.

I would begin with a small baseline and review it consistently:

1. Relevant visibility: Which non-branded and branded questions show your pages in Google, and which important buyer questions reveal your business or competitors in a small, recorded sample of AI answers? Record the date and environment; AI responses can vary between runs.
2. Response: Which pages bring useful visits, enquiries or direct contact? Ask people how they found you, while accepting that recollections and analytics will both miss part of the journey.
3. Business fit: Are those enquiries from the customers you actually want to serve, and do the conversations progress? A high-traffic page that attracts the wrong audience has limited commercial value.

Add a few relevant competitors as reference points: where do they appear, what questions do they answer well and where is your perspective missing? Avoid treating a single AI mention, citation or branded search as proof that a particular article caused a sale.

Bell to Sound is new, so there is no established visibility trend to defend. The useful first step is to record where we are now, choose the questions we want to be known for and see whether the right people begin to find us. That is a more honest starting point than announcing a traffic target without knowing who the traffic would represent.

The aim is to earn attention that survives the missing click: an answer that helps the right person, a name they can recall and a clear route back when they are ready. Keep the search foundations working. Learn where your buyers do their research. Then put your strongest, most specific thinking there.

If you need a starting picture, Bell to Sound’s SEO & AI Search Visibility Diagnostic reviews sampled AI answers alongside Google search performance, priority content and technical foundations. It provides an evidence-backed assessment of what to improve first; implementation is a separate decision.

Questions to ask about your own visibility

1. Which questions do our best-fit buyers ask before they know our name?
2. Where do they go for answers, and what have recent prospects told us about that journey?
3. When we appear in search results or sampled AI answers, is our business described accurately and distinctly?
4. Which content attracts useful enquiries, and which attracts visits from people we cannot help?
5. What do we know from evidence, and what are we only assuming about the path to an enquiry?