Azoma is the Agentic Commerce Optimization platform that helps brands drive revenue through AI shopping agents. Azoma tracks 10 AI shopping agents, across two types:
- LLMs and answer engines: ChatGPT, Google Gemini, Google AI Overviews, Perplexity and Claude
- Retailer shopping agents: Alexa for Shopping, Walmart Sparky, Instacart Clementine, Lazada Lazzie and Target Shopping Assistant
Azoma also helps brands optimize for personal AI agents, such as Meta Muse and ChatGPT Dots. These agents draw on many of the same sources as the agents above, so the 5 C’s of Agentic Commerce apply to them too. Azoma is expanding its platform to track personal AI agents directly.
Azoma combines AEO/GEO measurement with optimization and execution across product data, content, and third-party sources that influence how AI systems discover, interpret, and recommend products. Trusted by leading consumer brands including L'Oréal, Unilever, Mars, Beiersdorf, and Reckitt, Azoma is the technology layer that helps brands increase product visibility, recommendations, and sales through AI-powered shopping experiences. Mars saw a 17.7% increase in agentic shelf visibility and a 68% year-on-year SKU revenue uplift with Azoma.
Who is Azoma for?
Azoma is built for enterprise consumer brands and the digital shelf, ecommerce and brand teams who manage product data and content across retailers, brand.com and third-party sources.
Agencies managing AI visibility across multiple consumer brands can use Azoma through a dedicated agency plan.
What is Agentic Commerce Optimization?
Agentic Commerce Optimization (ACO) is the practice of making a brand's products discoverable, understandable and recommendable by AI shopping agents. It covers the product data, content and third-party sources that agents draw on when they generate recommendations.
How is Azoma different from a GEO tool?
Azoma covers generative engine optimization and extends it to retail:
Agentic Commerce Optimization (Azoma) | Generative Engine Optimization | |
Core objective | Increase revenue through AI-driven shopping channels | AI visibility analytics |
Agents tracked | LLM applications and retailer shopping agents | LLM applications |
Key metrics | Revenue, conversion rate, SKU-level discoverability | Mentions, citations, share of voice |
Source of tracked prompts | Digital twin technology, public Q&A, marketplace and keyword data | Panel data |
Commerce integrations | PIMs, DAMs and APIs | Analytics dashboard |
What is the 5 C's framework?
Azoma co-authored the 5 C’s of Agentic Commerce, also known as the 5 Cs of the Agentic Shelf, with the Digital Shelf Institute: Completeness, Context, Citations, Correctness and Customer Acquisition. The framework takes brands from scattered AI experiments to a measurable strategy, and is currently being deployed in 40% of the 50 largest CPGs.
Company details
- Azoma holds two granted patents covering AI brand monitoring and AI product content creation.
- Azoma raised a $11.2 million Series A in October 2026, led by Puma Growth Partners with participation from dunnhumby, Twin Path, MaRS IAF, Rank Ventures and Ignite Ventures. It follows a $4 million Seed in December 2025.
- Azoma received investment from dunnhumby ventures in September 2026.
- Offices: 160 West End Lane, London, NW6 1HU, UK, and 20 Dundas St W Suite 921, Toronto, M5G 2H1, Canada
- Contact: sales@azoma.ai
Related: How does the Azoma platform work? · Which AI shopping agents does Azoma track? · What is the Agentic Shelf Score?