Getting Discovery Right In Agentic Commerce
Agentic commerce is growing at a staggering rate: AI traffic to retailer sites is up 138% year over year. And the consumers that come from AI answers outperform industry benchmarks significantly:
- 53% higher revenue per visit
- 54% higher conversion rate
- 53% more time on site
- 23% more pages viewed per visit
- 15% higher engagement
- 36% lower bounce rate
Source: Adobe’s 2026 Q3 report
What’s become clear is that LLM queries are rapidly replacing search for the discovery phase of shopping.
But unlike search, brands, DTC companies, and retailers have real urgency to make their products discoverable in LLMs. Algorithms are learning tools, and those who are present early will solidify their presence and have a big advantage over new players.
Clearly, there’s no time to waste. DTC companies and retailers need their products to be discoverable before they get chosen.
In our opinion, that involves enriching product descriptions at the SKU level to inform LLMs of how the product is used and what is good for. This lets the LLMs know which products to surface for which prompts. And when it comes to AI shopping, prompts reflect real human needs.
Many services offer to improve brand discoverability, but that won’t necessarily get your products to surface in LLM answers. It will make the LLM aware of you at the brand consideration level, not the SKU level you need.
Founder and CEO of DaVinci Commerce, Diaz Nesamoney , shared his thoughts on discoverability and agentic commerce in several interviews this past month.
For a more in-depth exploration of this subject, watch the interviews below or read some of the insights.
We are also launching an AI-hosted podcast series that goes over some of the same topics while drawing on human-created insights.
Beet TV interview with Diaz
Diaz sits down with Robert Andrews in an interview for Beet TV to explain why there’s an urgency for brands to get set up in agentic commerce.
New Agentic Podcast
In this inaugural episode of our agent-lead podcast, our AI hosts, Leo and Ada, break down the transition from search to AI for online shopping discovery.
Diaz shares his thoughts on the Adobe Q3 AI Traffic Report
AI use for product discoverability is not only growing but sending shoppers to retailers with much higher purchase intent.
As Diaz explains: “All of this points to Agentic Commerce growth and the imperative for brands and retailers to invest in greater product discoverability in LLMs, improve consumer experience overall within LLMs via apps and MCP services and get themselves ready for what is bound to be an AI discovery dominated holiday season.”
See Diaz’s full post and key Adobe Q3 Traffic Report stats
Bob Friday Podcast Interview with Diaz
Diaz sits down with Bob Friday, Chief AI Officer at Hewlett Packard, to discuss entrepreneurship and specifically, how to become an AI entrepreneur.
One of Diaz’s key pieces of advice is to make sure whatever business you want to found is solving a problem you are passionate about fixing.
Human X Podcast interview with Diaz
Diaz discusses AI for enterprise-level businesses at Human X and the need for guardrails such as having humans in the loop.
What ChatGPT’s De-emphasis on Reddit and Social Media Means for Brands
To gain consumer trust, ChatGPT is moving away from social and focusing more on domain score. Brands can officially relax their Reddit strategies. Diaz gives his analysis below:
“OpenAI has smartly realized that trust is critical to keeping consumers using their platform. For shopping, trust and accuracy are critical, neither of which were true earlier, as ChatGPT sourced mostly open-source data from various websites to provide product information.”
