Azoma's $11.2M Bet on Agentic Commerce Optimization

Azoma has raised an $11.2 million Series A to keep defining agentic commerce optimization, the fast-emerging practice of making brands discoverable and recommended inside AI shopping agents. The round was led by Puma Growth Partners, with participation from dunnhumby, Twin Path, MaRS IAF, Rank Ventures and Ignite Ventures, plus angels from Google DeepMind and Legora, according to the company's announcement.

The London-based platform helps consumer brands drive revenue through AI shopping agents. Azoma says its revenue has grown almost tenfold over the past year, its team has expanded from 12 to 40 people, and it now works with global brands including L'Oréal, Unilever, Mars, Beiersdorf and Reckitt. The Series A follows a $4 million seed round announced in December 2025.

What agentic commerce optimization actually does

Agentic commerce optimization means ensuring a brand's products are discoverable, understandable and recommended by the new generation of buying intermediaries: large language model applications such as ChatGPT and Gemini, retailer shopping assistants such as Alexa for Shopping, Walmart Sparky and Instacart Clementine, and personal AI agents such as Meta Muse, ChatGPT Dots and Instinct.

The pitch is straightforward. When an agent does the shopping instead of a person, the old levers of e-commerce — search rankings, sponsored placements, landing pages — matter less than whether the agent can parse a product catalog, trust the listing and choose it over alternatives. Azoma builds the optimization and attribution layer for that world: helping enterprise brands show up correctly inside agent-driven experiences and measure which agent interactions turn into revenue.

The funding will go toward expanding across the emerging market of AI personal assistants such as ChatGPT Dots and Meta Muse, building out optimization and attribution capabilities for enterprise consumer brands using dunnhumby data, and further team growth, according to the announcement. Dunnhumby's participation as both investor and data partner signals how seriously established retail-analytics firms are taking the agent channel.

Why the money is moving now

The timing reflects a land grab. McKinsey projects that agentic commerce could account for $5 trillion globally by 2030, including up to $1 trillion in US retail revenue. Every major platform is racing to position its agent as the default buyer: Anthropic unveiled its standalone agent app Claude Duet on October 21, while OpenAI and Meta are pushing always-on agents that act across messaging and commerce apps.

For brands, that creates a familiar anxiety with an unfamiliar shape. Search engine optimization took a decade to professionalize; agentic commerce optimization may have to compress that into a few years, because the agents are already making purchase decisions. Azoma's framing — borrowed directly from the SEO playbook — suggests the category will develop the same way: standards, tooling, measurement, and eventually an entire services industry.

The competitive field is forming quickly. Alongside Azoma, startups are building payment rails, identity verification and secure transaction infrastructure so agents can transact without human approval, a trend covered in recent reporting on AI agent payments. Azoma's bet is that before agents can buy anything, brands must first make themselves legible to them — and that the winners will be the platforms that own that discovery layer.

The risk: agents don't read catalogs the way humans do

The hardest part of agentic commerce optimization may be that nobody fully controls what an agent recommends. Recommendation behavior depends on the underlying model's training, the agent's system instructions and the shopping context — variables brands can influence but not dictate. Attribution is equally murky: when an agent books, buys or subscribes on a user's behalf, tracing that revenue back to a specific optimization effort is a nontrivial measurement problem.

That is precisely what Azoma says it is building: attribution capabilities that connect agent interactions to revenue, using dunnhumby's consumer data as a foundation. If agents do become the primary storefront, the company that can prove which agent touchpoints convert will have enormous leverage. The tenfold revenue growth the company reports suggests at least some large brands already believe the measurement problem is solvable — and worth paying for.

The next test is scale. A 40-person team serving a handful of multinational brands is a promising start, but agentic commerce optimization only becomes a category when mid-market brands adopt it too. With $11.2 million in fresh capital and a lead investor known for backing growth-stage consumer technology, Azoma now has the resources to find out whether the agent storefront is a niche service or the next SEO.