Discovery has left your website. The data on where it went.

Salesforce tracked where shoppers discover products between August 2025 and May 2026. Three numbers came out of it. Discovery on brand-owned properties fell 7%. Traditional search fell 15%. AI assistants, social AI, and delivery apps grew 38%.

Read those together and the conclusion is uncomfortable but simple. The place where people find out your product exists is moving away from anything you own.

This is a bigger shift than the last one

When search rankings decided discovery, at least the destination was yours. Someone typed a query, saw a list, clicked, and landed on your site. You could measure it, optimize it, and buy your way into it when the ranking would not come.

What replaced it works differently. Salesforce measured 200% growth in consumer reliance on AI assistants as the first stop in shopping over a single year, with traffic from AI chats growing between 150% and 428% year over year across the quarters they tracked. Overall traffic grew in the single to low double digits over the same period.

The comparison is the point. AI chat traffic is not growing with the market. It is taking share from it.

Caila Schwartz, who leads shopper insights for agentic commerce at Salesforce, put the change plainly: customers are not starting with ten blue links any more. They are asking an AI.

What happens to your site when discovery moves upstream

Your website does not become worthless. It changes job.

It used to be the place where a stranger learned what you sell. Now it is increasingly the place where someone who has already been told what you sell arrives to check whether it is true.

The behavioral data supports that reading. Adobe Analytics, across more than a trillion visits to US retail sites, found AI-referred visitors spend 48% longer on site and view 13% more pages than other traffic, with an engagement rate 12% higher. Those are not the numbers of a casual browser. They are the numbers of somebody comparing what they were told against what they can see.

A visitor who arrives already convinced is not an easier sale. They are a stricter one.

And the strictness pays when the page holds up. The same Adobe data has AI-referred traffic converting 42% better than everything else in March 2026, with 37% higher revenue per visit.

The uncomfortable part for large brands

Falling discovery on brand-owned properties hits big brands hardest, because big brands built the most on owned property. Twenty years of investment went into making the site the destination: the content hub, the buying guide, the quiz, the loyalty program, the app.

None of that reaches a shopper who never arrives at the site to see it. If the AI assistant answering their question has not read it, or cannot read it, that investment is invisible at the exact moment the decision gets made.

That is not hypothetical. Adobe found roughly 34% of retail product pages inaccessible to AI systems, and about a quarter of homepage and category content not readable by language models. A meaningful slice of the internet's product information is currently invisible to the thing shoppers are asking.

What actually transfers

Three things travel through an AI recommendation. Everything else stays home.

• Specific, checkable facts. Dimensions, materials, return windows, shipping times, certifications, what is included. These survive being summarized because they can be restated without losing meaning.
• Answers to real questions. Content structured as a question and its answer is content an assistant can lift and attribute. A buying guide written as brand narrative is not.
• Anything a third party said about you. Reviews, press, testing results. An assistant weighs outside evidence differently from your own description of yourself, and it is generally more willing to repeat it.

Brand voice does not travel. Layout does not travel. The careful sequence you built to walk someone from problem to solution does not travel, because the assistant does the walking now and hands over a conclusion.

What to do about it this quarter

The instinct is to chase visibility inside the assistants. That is worth doing, and it is also a moving target across a fragmenting set of platforms.

The more durable work is the other half: assume the shopper arrives pre-briefed, and build the page for verification rather than persuasion. That means the claims an assistant is most likely to repeat about you should be the easiest things to find on the page, stated in the same terms, without hedging.

It is a smaller change than a replatform and it compounds, because the same clarity that satisfies a skeptical human satisfies a parser.

eLLMo runs test buyers matched to your real customers against your page and returns a ranked list of what stops people from buying. The buyer who arrives from an assistant is a distinct kind of visitor, and the page either finishes the job the assistant started or interrupts it. For more on why different buyer types read the same page differently, see preference heterogeneity and persona validity.

*Related Links: Shopping's New First Step: Agentic Search Grows 200% (Salesforce), AI traffic to US retailers rose 393% in Q1 (TechCrunch, on Adobe Analytics data).*