

Azoma, the company pioneering Generative Engine Optimisation (GEO) for ecommerce, today announced a pre-Series A raise of £3 million. Their end-to-end, verticalised workflow platform helps major brands and retailers increase their share of visibility in the AI Search era. The new funds will be deployed to double down on growth.
Investors in Azoma’s pre-Series A raise included Ignite Ventures, Rank Ventures, eBay Ventures x Techstars, Twinpath, MaRS IAF, strategic angel investors from both Retail and AI, such as the Chairman & CEO of The Winn-Dixie Company, and senior leadership at Google DeepMind, and non-dilutive funding. The news caps a period of rapid expansion for Azoma, including revenue growing to seven-figures over the last ten months and achieving profitability in Q2’25.
Azoma has already worked with major brands such as Mars, Colgate, Zappos, P&G, Reckitt, Beiersdorf, and Canadian Tire. This funding milestone recognises Azoma ascent to be the only venture-backed, vertically-focused GEO/AEO tool for household name brands and retailers in the agentic commerce age.
Research shows some 74% of consumers now use AI tools in their path to purchasing. Amazon CEO, Andy Jassy recently reported customers using its AI Shopping assistant, Rufus, were 60% more likely to purchase than using traditional search, claiming the chatbot would deliver “over $10 billion in incremental annualized sales”. Capitalising on this new era of product discovery, Azoma is fast becoming the partner of choice for consumer brands and retailers to ensure their visibility and accurate representation in this new era of AI discoverability.
Azoma’s commercial success is built on two crucial patents covering AI brand monitoring, which tracks how brands show up in chatbot answers, scores authority, predicts AI responses, and AI product content optimisation, which analyses ecommerce data and creates AI-optimised content with one click publishing. This patented approach allows Azoma to track how brands appear in AI responses across ChatGPT, Google AI Overviews, and Amazon Rufus, delivering improvements to visibility scores, sentiment, and how frequently they are sourced by LLMs. The platform also features a patented digital twin simulation that predicts AI responses before content is deployed.