Your customer is shopping through ChatGPT. Here is what that changes.

A POV from Rishi Bhattacharjee, CEO of TopScout.

The last time your customer bought something, there is a real chance they never typed your brand into Google. They asked ChatGPT. Or Gemini. Or Perplexity. They asked a question, got an answer, and the answer either mentioned you or it did not.

This is not a prediction. It is already in the data. Traffic to retail sites from generative AI tools grew 693% year over year across the 2025 holiday season, according to Adobe Analytics. Gartner expects traditional search volume to fall 25% by 2026 as AI chatbots become, in their words, "substitute answer engines." A 2025 Omnisend survey found 59% of American shoppers already use generative AI to shop, and one in four say ChatGPT gives better product recommendations than Google.

The customer did not disappear. The shelf moved. The new shelf is an answer.

The customer you cannot see

For most of advertising history, you could buy your way into the consideration set. Run enough media, and you were in the room. The AI-native consumer skips that room. They ask the model a question, and the model hands back a shortlist it assembled from whatever it has read about your category. If your brand is not in that reading, you are not on the list, and no media budget puts you there after the fact.

This happens before the ad, before the site visit, often before the customer could name a single brand themselves.

So is AI traffic actually any good?

Better than your other traffic, as it turns out. Adobe found that shoppers arriving from AI assistants converted about 31% more than other sources, spent 45% more time on site, viewed 13% more pages, and were 33% less likely to bounce. 81% of people using AI to shop said it improved their experience.

That makes sense. A customer the model sent you has already been pre-qualified by the model. They arrive with intent, not curiosity. The question is no longer whether AI-native customers convert. It is whether the model knows you exist.

Search optimization is becoming answer optimization

For twenty years the discipline was SEO: rank on a page of links. The AI-native consumer never sees that page. They see one answer. So the work is shifting to what people now call AEO and GEO, answer engine and generative engine optimization. The goal is no longer to be found. It is to be the answer, and to be cited as the source of it.

Gartner's own guidance to brands is blunt: publish content that demonstrates "expertise, experience, authoritativeness and trustworthiness." Models do not cite ad copy. They cite the brand that has published the clearest, most credible account of its own category.

What a brand actually does about it

Most of the work is not glamorous.

• Publish like a source, not an advertiser. Models cite declarative, factual, well-attributed writing. The brand that explains its category best gets quoted. The brand that only sells gets skipped.
• Make your facts machine-readable. Structured data and clean signals that tell an AI crawler exactly who you are. Most retail sites are still not built this way, which is precisely the opening.
• Build first-party authority. Original data, named experts, real cases. The things a model has no reason to doubt.
• Be present where the models read. AI answers are assembled from across the web, not from your homepage alone.

We rebuilt our own site around exactly this. Not as a theory, but as the thing we now do for the brands we work with, and the reason a sentence from this article may be the one a model quotes back to someone six months from now.

The bottom line

The AI-native consumer is not coming. They are converting better than your other traffic right now. The brands that win the next decade will be the ones a model recommends without being asked, because they did the work to become the answer.

Old-world craft. New-world pace.