AI referrals convert nearly three times better than search

Lebesgue has published research indicating that AI referrals convert at nearly three times the rate of traditional Google search traffic for online brands. The findings are based on data from 35,000 eCommerce brands.

According to the marketing intelligence company, referrals from AI tools such as ChatGPT generated an average conversion rate of 3.6%, compared with 1.23% for traditional search. AI-driven visits also performed close to brand-specific search queries, which converted 3.65% of visits.

The analysis used data from brands on Shopify and found that AI-referred visits generated about 30% higher revenue per session than traditional search traffic.

The figures add to a growing debate over how generative AI is changing the way consumers discover products online. If shoppers arrive on retail sites after receiving recommendations from AI tools, brands may need to focus more on how they are represented across reviews, third-party sites and online forums, rather than relying mainly on search rankings to attract traffic.

Shift in search

Traditional search marketing has long centred on ranking for relevant keywords, drawing users to a website and then persuading them to buy. Lebesgue argues that AI changes that sequence because users may reach a decision before clicking through, after receiving a recommendation or summary from a chatbot or AI search assistant.

That matters because conversion rate is a core measure for online retailers. A higher conversion rate suggests visitors arrive with clearer purchase intent, while higher revenue per session indicates those visits may also be more valuable commercially.

Lebesgue is used by more than 10,000 businesses worldwide and focuses on eCommerce merchants on platforms including Shopify and WooCommerce. It combines marketing, customer and product data from channels such as Meta, Google, TikTok and email to help brands track performance.

The findings point to a possible redistribution of attention within digital marketing budgets. Brands that have concentrated most of their spending and optimisation efforts on conventional search and paid advertising may now face pressure to understand how often they appear in AI-generated answers and recommendations.

Because AI systems often draw on a wide range of sources, including reviews, editorial content and discussion forums, visibility may depend on a broader web presence than one shaped by search engine optimisation alone. That could make reputation management and third-party mentions more important in customer acquisition.

Josip Begić, Co-Founder and Chief Executive Officer of Lebesgue, said: "This data shows that when AI sends a customer to a seller, they arrive with much higher intent and are closer to making a decision.

"For brands, this should be a wake-up call. The vast majority of eCommerce marketing strategies are still wholly focused on maximising clicks and traffic volume, but this data shows there is a clear argument for paying more attention to performance on AI platforms.

"The typical traditional search strategy is to rank well for relevant keywords, win clicks and persuade the user once they land on your site. With AI, the persuasion happens before the click.

"As inbound traffic volumes continue to increase, this shift will be crucial. The brands that attract the highest-value, pre-qualified leads will be those most visible across all the places AI looks, such as reviews, third-party content and forums.

"Ultimately, AI platforms are not just another referral source. They represent a new approach to consumer decision-making. If brands do not adapt how they measure and prioritise this channel, they will miss a significant part of the opportunity."