Resources / Statistics

On-site search statistics
you can actually check

Jul 2026 Last checked

01. Does on-site search actually matter?

Yes. Around half of visitors reach for search first, and most sites fail the queries they type. Five of these seven come from the same benchmark, so read them as one picture rather than seven independent findings.

56%

of ecommerce sites fail to adequately
support what users search for.

Search failure is the normal state, not the exception. If you have never tested your own search against real queries, assume you are in this group.

34%

of test participants used the search field to look for non-product content.

Put next to the number above, this is the gap: a third of people use the search box for questions, and two thirds of sites cannot answer them.

66%

of sites handle non-product searches badly. Queries like "return policy" or "shipping".

Search boxes are usually wired to the product catalog only. Policy and support questions return nothing useful. This is the worst-performing of the eight query types tracked.

80%

of shoppers have left an online store because the search experience let them down.

Search failure does not produce a complaint. It produces an exit, and you never learn which query caused it.

50%

of test participants reach for search first when finding a product. The other half use navigation.

Search is not a minor feature used by a fraction of visitors. It carries about half of all product-finding attempts.

5.1%

is how far conversion rates fell year on year. Average order value rose 6% over the same period.

Fewer visits are converting, but the ones that do are worth more. Every session is now more expensive to earn and more valuable to keep.

44%

of sites fail compatibility searches. Someone names what they own and asks what fits it.

These queries carry the most buying intent on the site. Someone asking whether a part fits their model has already decided to buy something.

02. Is the shift to AI answers real?

Yes. Roughly two thirds of US adults now meet AI summaries in search results at least sometimes.

45%

say they see AI summaries extremely often or often.

Close to half the adult population meets this format often enough to have formed expectations about it.

65%

of US adults come across AI summaries in search results at least sometimes.

Reading an AI answer instead of a list of links is now ordinary behavior for most adults, not an early-adopter habit.

0.2%

of web traffic now arrives from AI-referred sources. Small, growing, and it behaves differently.

Do not plan around this as a traffic channel yet. Plan around it as a signal about what visitors have already read before they land.

62%

of US adults under 30 see AI summaries at least often, against 23% of those 65 and over.

If your customers skew young, they already expect to type a full question and get a written answer back.

03. Does answering questions reduce support load?

The load is real and poorly served. Self-service fully resolves only 14% of issues, and the most common reason it fails is that people cannot find the content. We could not find independent research on AI ticket deflection rates. What follows measures the underlying problem instead, which is far better evidenced.

14%

of customer service issues are fully resolved in self-service. Even issues customers call "very simple" only reach 36%.

Most people who start in self-service finish somewhere else. The distance between starting and finishing is where support cost accumulates.

43%

of self-service failures happen because the customer could not find content relevant to their issue.

The content usually exists. The finding is what fails. That is a retrieval problem, not a writing problem.

49%

of customer issues are fully resolved without any follow-up. The other 51% come back.

Half of all support contacts generate more support contacts. That is the volume any deflection strategy is aimed at.

85%

of CX leaders say customers will drop a brand over an unresolved issue, even on first contact.

First contact is where the cost sits. A question answered before it becomes a ticket never enters this statistic.

88%

of customers expect faster response times than they did a year ago.

The expectation moved in twelve months. Whatever felt fast last year is now the baseline.

74%

of consumers now expect customer service to be available around the clock.

Three quarters of your customers expect an answer at 2am. Most of those answers are already written somewhere on your site.

04. What do people actually think of AI answers?

People use AI answers without trusting them. One in five call them very useful, and nearly half report little or no trust.

20%

of people who have seen AI summaries find them extremely or very useful.

Adoption is not enthusiasm. Most people use AI answers without rating them highly.

28%

say AI summaries are not too useful or not useful at all.

More than a quarter get no value from the format. Any AI answer you put in front of customers has to clear a bar that general-purpose summaries currently do not.

83%

of consumers say digital experiences should be better than they are today.

Dissatisfaction is near universal and has survived several years of AI deployment. Adding AI has not by itself moved this number.

84%

say a positive customer support experience greatly changes how they see a company.

The interaction matters more than the channel it arrived through. An answer that lands in two seconds counts as a positive experience.

05. What AI answers do to your search traffic

Clicks roughly halve. When an AI summary appears, the click rate on a result falls from 15% to 8%. This section uses browsing data rather than a survey. Pew tracked what people did, not what they said they did.

60%

of searches starting with a question word produced an AI summary.

Questions get answers. That is now the default behavior people carry onto every other site they visit.

53%

of searches with 10 words or more produced an AI summary. For one or two word searches it was 8%.

Long queries are the ones that now get answered rather than listed. If your site search only handles short keyword queries, it handles the easy half.

06. Does language matter for international sales?

Consumers say it does, though the available evidence comes from companies that sell translation services. Read this section with care. All four numbers come from research commissioned by a company that sells translation services, and the questions are framed to invite agreement. Treat the direction as sound and the magnitudes as generous.

80%

or more of consumers say they will not buy from a brand that does not support their local language.

A stated intention, not observed behavior. Useful for sizing the risk of an English-only experience, not for forecasting revenue.

89%

believe they should have the option of dealing with a company online in their preferred language.

Expectation is near universal. Delivery is not, which is where the gap sits for anyone selling across borders.

44%

say they are frustrated that English dominates the internet and consumer technology.

Close to half of a global audience is working in a second language on your site. That affects how they phrase a search query as much as how they read the answer.

58%

agree a localised online presence carries the same trust as a physical presence in their country.

Language work substitutes for physical presence in the trust calculation. That is the strongest commercial argument in this section.