Azoma raises $11.2M Series A to help brands win AI shopping agents
What's the deal? AzomaDealroom has a profile for this one. Try Dealroom →, a startup that helps brands get their products discovered by AI shopping agents, has raised an $11.2 million Series A led by Puma Growth PartnersDealroom has a profile for this one. Try Dealroom →. Dunnhumby Ventures, Twin Path VenturesDealroom has a profile for this one. Try Dealroom →, Mars IAF, Rank VenturesDealroom has a profile for this one. Try Dealroom →, and Ignite VenturesDealroom has a profile for this one. Try Dealroom → also participated.
What does it do? Founded in 2022, Azoma measures how assistants like OpenAI's ChatGPT, Google's Gemini, Alexa for Shopping, and Walmart's SparkyDealroom has a profile for this one. Try Dealroom → surface and recommend products — then suggests ways to improve that visibility. Clients include Unilever, L'Oréal, Reckitt, and Mars.
Why now? At least a dozen retailer AI shopping assistants launched over the past year, alongside purchase-capable personal assistants such as Meta's Muse and OpenAI's Dots. In December, Morgan Stanley estimated AI shopping assistants could account for up to $385 billion in US e-commerce sales by 2030.
The pitch: Azoma's analysis of tens of millions of AI responses in the second quarter of 2026 found that earned or social media accounted for 86.5% of the citations behind Alexa for Shopping's recommendations and 76% behind Walmart Sparky. "The answer a shopper receives is therefore assembled largely from sources the brand does not own," the company said.
What sets it apart? CEO Max Sinclair argues Azoma differs from generic generative engine optimisation (GEO) players by focusing on commerce and physical-goods brands. "Many of our customers have tried these generic GEO platforms and found that they don't understand commerce at all," he said.
What's the money for? Azoma plans to extend tracking across newer agents, from Meta's Muse to TikTok's Shopping Assistant. Sinclair expects head count to reach 80 to 100 people next year.
What could go wrong? The round sits in roughly the 69th percentile for deal size — solid, but modest next to better-capitalised rivals. Profound raised $180 million in September at a reported $1.8 billion valuation. The real test is whether Azoma can show improved AI visibility drives measurable sales.
The signal: As shoppers delegate purchases to assistants, brands face a new discoverability problem they cannot fully control. Investors are betting that measuring — and influencing — how AI agents recommend products becomes as routine as tracking shelf placement.
Read more: dnyuz.com
Image credit: Azoma
