AI-referred shoppers are generating 41% more revenue per visit

The industry has spent much of the past year debating whether brands need to be visible in ChatGPT, Gemini and other AI platforms. New data suggests that debate may have been asking the wrong question. The more important question is how valuable that visibility is — and the early numbers from Adobe Analytics and major US retailers indicate the answer is considerably more valuable than traditional search traffic.

<h2>The two 41% figures</h2>

Adobe Analytics reports that visitors referred by AI services are generating 41% higher revenue per visit than shoppers arriving through traditional channels, according to Reuters. A second figure from the same dataset is equally significant: 41% of US consumers used generative AI for online shopping in June. The coincidence of the two numbers is notable, but the implication is distinct. The first figure is about quality — AI-referred visitors are worth more per session. The second is about scale — the addressable audience is already substantial. Together they suggest that AI-referred commerce is neither a niche phenomenon nor a marginal revenue source.

<h2>What retailers are seeing</h2>

The Adobe data is corroborated by brand-level findings. Ulta Beauty reports that shoppers finding its products through Gemini and ChatGPT are showing double the conversion and intent compared with other channels. Walmart and Wayfair are among the retailers that have begun optimising specifically for AI search, according to Reuters, suggesting that the commercial case for AEO investment is now being made at the operational level inside major retail organisations, not just in marketing strategy discussions.

<h2>Why AI-referred traffic converts better</h2>

The higher conversion and revenue figures are consistent with what the intermediate query research suggests about how AI search works. When a user asks ChatGPT or Gemini a shopping question, the AI rewrites the prompt into specific intermediate queries, retrieves relevant sources, synthesises the information and presents a recommendation. By the time a user clicks through to a retailer, they have already received a recommendation from a system they trust, compared alternatives, and formed a purchase intent. That is a fundamentally different arrival state from a user who clicked a paid search ad or a Google organic result. The AI has done the consideration work before the visit begins.

<h2>The implication for AEO investment</h2>

The 41% revenue premium changes the ROI calculation for AEO in a way that the traffic volume argument alone never could. Traffic volume from AI sources is growing fast — Adobe's data shows 693% year-on-year growth in AI traffic to US retail sites as of Q1 2026 — but volume arguments are easy to dismiss as early-stage noise. Revenue per visit is a metric that finance teams understand. A channel that delivers 41% more revenue per visitor than existing channels is not an emerging experiment. It is a priority allocation decision.

<h2>AEO Updates Takeaway</h2>

The conversation around AEO has been dominated by visibility metrics: citation share, mention frequency, share of voice across AI platforms. Those metrics matter, but they are proxies. The Adobe Analytics data and the Ulta Beauty findings suggest that the underlying commercial outcome — revenue per visit — is already measurable and already favourable. For brands that have been waiting for proof of commercial return before committing to AEO investment, this data is the clearest signal yet. The question is no longer whether brands need to be visible in AI search. It is how much that visibility is worth — and the early data suggests the answer is: considerably more than traditional search.

<h3>References</h3>

[1] Reuters — <a href='https://www.reuters.com' target='_blank' rel='noopener noreferrer'>Adobe Analytics: AI-referred shoppers generate 41% more revenue per visit</a>

[2] Adobe Analytics — AI Traffic to US Retail Sites, Q1 2026