The Key to AI Discoverability
Another Cannes Lion has come and gone, painting a fairly clear picture of what the industry can expect in the months and years to come. While many expected agentic commerce to grow quickly, it seems to be exceeding even those high expectations.
Traffic from AI to U.S. retail sites grew an eye-watering 393% year-over-year from Q1 2025 to Q1 2026. Even more significant is that AI traffic converts 42% better than non-AI traffic.
What this all seems to suggest is that Agentic Commerce is becoming the primary shopping surface, displacing search.
But while brands and retailers are no doubt excited by these new stats, there is also widespread concern. Many are not discoverable in AI platforms, or at the very least, are not surfacing as often as they’d like. More specifically, brands are not showing up for answers to questions users are asking.
Consumers typically ask LLMs to address needs and pain points. They may, for example, be interested in buying hiking boots that can handle mountain climbing conditions. But to surface in these types of answers, you need more than just basic information your product descriptions and feeds currently contain.
This was one of the core issues that DaVinci Brandstore was built to resolve.
In the rest of this newsletter, we’ll share some insights into how we’ve made brands discoverable with content enrichment, along with some insights from CEO and Founder, Diaz Nesamoney , about the limitations of Universal Cart and some reflections on Cannes this year.
DaVinci Commerce Announces Agentic BrandStore Enterprise: End-To-End Agentic Commerce From Discovery To Purchase with Content Enrichment
Brands that want to be discovered in LLMs need to address their greatest weakness in the age of AI: product feeds and descriptions that were built for traditional e-commerce but not for AI. It’s a problem that can only be resolved with contextual content enrichment.
DaVinci BrandStore uses a Content Enrichment Engine to enhance discoverability. It works by drawing on a scalable swarm of content agents to enrich product content with verified customer reviews, social conversations from Reddit and YouTube, consumer intent and prompt signals from GEO platforms, lifestyle content from brand websites, and real-time data on what questions consumers are actually asking LLMs.
This happens at the brand, category and product SKU level. The end result is that your brand and products surface in the answers you want to be found in.
The Content Enrichment Engine also feeds ACP and UCP the data they need to surface your products in side-by-side comparisons and lists. It enables enriched product descriptions to populate PDP pages, enhancing GEO.
OpenAI ChatGPT Overtakes Agentic Commerce As Davinci Powers Discovery
In a piece by Forbes , Diaz was interviewed to give his thoughts on agentic commerce and the role of DaVinci Commerce.
In the interview, he describes how agentic commerce isn’t simply a new marketing channel:
“It is a foundational change in the way consumers are discovering and buying products, comparable only to the early days of Google search. Brands that invest in and reinvent the commerce experience for consumers on LLMs stand to gain significant advantages over those that sit on the sidelines.”
Diaz went on to suggest that brands need to speak to LLMs and consumers for a layered approach to agentic commerce. You need to include rich use-case information for LLMs and provide a full branded experience for consumers. Those who do will gain a major advantage over competitors.
You can read the full article from Forbes
Why Universal Cart is Not the Game-changer you may Think it is
While many LinkedIn users are describing the Google Universal Cart as a game-changer that will overhaul the industry, Diaz Nesamoney was less convinced.
“My prediction is that this too like Google’s many past attempts at dominating shopping is likely to just be rails waiting for trains with passengers – it will not be successful until the rest of the Agentic Commerce consumer journey is addressed.”
As Diaz notes, Universal Cart fails to address how consumers actually shop. It ignores the discoverability and exploration phase, almost like assuming shoppers are ready to make a purchase the second they open the chat.
AI Descends on Cannes in Full Force
Diaz attended Cannes yet again this year, running and participating in exciting interviews with thought leaders across the industry.
As Diaz notes, AI companies have taken the full spotlight this year: “This year AI and particularly Agentic AI was the talk of the Croisette, OpenAI is rumored to have had a villa up in the hills, avoiding the spotlight but drawing some big advertiser names in.”
The main question Diaz and others tackled in numerous interviews at Cannes was how marketers can advertise to agents and consumers at the same time.
You can see his full comments here. And check out his video below.
