A convergence of data points from the past 48 hours paints a picture that eCommerce merchants can no longer ignore: AI-powered platforms are rapidly replacing traditional search as the primary discovery mechanism for products, tools, and brands. The implications are profound, immediate, and largely underestimated.
The numbers tell the story
Previsible's 2026 State of AI Discovery Report, published via Search Engine Land on 6 July, analysed 6.77 million sessions across 166 GA4 properties spanning 19 months from November 2024 through May 2026. The headline finding: ChatGPT now commands 92.4% of all trackable standalone LLM referral traffic. Ninety-two percent.
To put that in context, a single AI platform dominates the emerging discovery channel even more thoroughly than Google dominates traditional search. And unlike Google's dominance, which was built over two decades, ChatGPT's position has been established in roughly three years. Sessions grew 12.8x over the 19-month study period, from 47,606 in November 2024 to 644,478 in May 2026.
But the report's most actionable finding is not market share. It is landing pages. As Previsible's analysis reveals, ChatGPT sends 28.8% of its traffic to internal search results pages. The model trusts your domain but cannot pick the right page, so it sends users to your search box and lets them navigate. For most sites, internal search is a neglected navigation feature, not an acquisition surface. That has to change.
The challenger landscape is also shifting beneath the headline. Claude grew 64x during the study period, from 133 sessions in November 2024 to 8,528 in May 2026, overtaking Perplexity in March 2026 for the first time. Gemini holds a stable third position with 3.2x growth. Meanwhile, Perplexity has fallen 61% from its peak, and Copilot collapsed 96% from its high of 8,651 sessions. The field is consolidating towards the leader, but the second-place race is live.
A critical caveat from the report: AI referral traffic is volatile. ChatGPT sessions dropped 50% in a single month (November 2025) when a model change shifted behaviour towards Wikipedia and Reddit. One vendor's product decisions can halve your AI traffic overnight.
Paid media is becoming an SEO investment
Perhaps the most counterintuitive insight from the week's coverage is that paid media is becoming an SEO investment in the age of AI search. As Search Engine Land reported, reviews, creator partnerships, and sponsored content are increasingly shaping how AI systems understand and recommend brands.
This flips traditional marketing orthodoxy on its head. Historically, paid media and SEO were separate disciplines with separate budgets and separate teams. Now, a sponsored review on a creator's blog does not just drive direct traffic. It becomes training data for AI systems that will recommend (or not recommend) your brand to millions of users.
For eCommerce merchants, this has immediate budget implications. The ROI calculation for paid media now includes a second-order effect: influencing AI recommendation engines. According to SimilarWeb's generative AI data, ChatGPT referral traffic converts at 7.1%, second only to paid search at 7.8% and ahead of direct traffic, organic search, social, email, and display. A sponsored product review that an AI system ingests and cites is worth substantially more than the direct clicks it generates.
What eCommerce merchants should actually do
Treat AI visibility as a core channel
Stop treating AI search as a curiosity or future concern. With 92% of AI referral traffic flowing through ChatGPT alone, AI is already a major discovery channel. eCommerce specifically has seen 37x growth in AI traffic over the study period, with product pages as the primary landing surface. Allocate team time and budget accordingly.
Fix your internal search
If 28.8% of AI-referred visitors land on your internal search results page, the quality of that search experience directly determines whether high-intent AI traffic converts or bounces. Evaluate tools such as Algolia, Klevu, or ElasticSuite. The model did the hard work of choosing your domain. Your site search UX now determines the outcome.
Audit your AI training data footprint
AI systems learn from the web. What does the web say about your brand? Review your presence across blogs, review sites, social platforms, forums, and industry publications. If your brand is poorly represented in these sources, AI systems will not recommend you, regardless of how good your products actually are.
Rethink your content strategy
Move from "content that ranks" to "content that educates." AI systems favour comprehensive, authoritative content that demonstrates genuine expertise. According to Previsible's vertical breakdown, eCommerce AI traffic lands primarily on product pages, meaning structured, comparable product data is an AI discoverability requirement, not just a conversion optimisation play.
Integrate paid and organic strategies
The wall between paid media and SEO needs to come down. Every piece of sponsored content, every creator partnership, every review campaign should be evaluated not just for direct performance but for its impact on AI recommendation likelihood.
The bigger picture
The shift from search-engine-mediated discovery to AI-mediated discovery is the most significant change in how consumers find products since Google itself. And unlike the SEO era, where optimisation was primarily a technical discipline, AI-era discovery rewards breadth, authenticity, and brand strength.
Merchants who were built on SEO tricks and thin content will find themselves invisible to AI systems. Merchants who invested in genuine brand building, authentic customer relationships, and comprehensive content will find themselves disproportionately recommended.
The technology has changed. The fundamentals have not. AI discovery rewards exactly what good eCommerce has always been about: building something genuinely worth recommending.
About On Tap
On Tap is a growth-focused eCommerce consultancy helping mid-market and enterprise merchants build visibility across traditional search, AI discovery, and direct channels. From AI readiness audits and internal search optimisation to content strategy and product data architecture, On Tap helps merchants earn recommendations in the channels that increasingly determine who gets found.
If you want to understand how your brand appears in AI recommendation systems, get in touch.
