Azoma offers an end‑to‑end Agentic Commerce Optimization platform that helps consumer brands and retailers make their products discoverable, recommended, and purchasable by AI shopping agents such as ChatGPT, Google Gemini, Alexa Shopping, and Walmart Sparky. The platform continuously monitors AI agents for product mentions, provides share‑of‑voice benchmarking, and generates AI‑optimized listings to improve citation rates and drive traffic and sales. Real‑time dashboards deliver attribution analytics linking agent citations to conversions, enabling brands to adjust strategies and capture revenue from LLM‑driven shopping experiences.
Funding
Funding not disclosed
Founders
Product
Problem
Brands and retailers struggle to gain visibility and sales through emerging AI shopping agents such as ChatGPT, Google Gemini, Amazon Alexa Shopping, Walmart Sparky, and Perplexity, because these agents prioritize content that is optimized for large language model (LLM) search and recommendation algorithms. Without dedicated optimization, products are rarely cited or recommended, limiting traffic and conversion from this fast‑growing channel.
Solution
Azoma provides an end‑to‑end Agentic Commerce Optimization (ACO) platform that helps consumer brands and retailers make their products discoverable, recommended, and purchasable by AI shopping agents. The platform monitors AI agents’ discovery, evaluation, and citation of products across multiple agents, offering benchmarking and attribution insights. Using proprietary algorithms and patented technology, Azoma generates AI‑optimized product listings and content that increase the likelihood of being cited in agent responses. The system tracks share‑of‑voice (SOV), product rankings, and citation sources, enabling brands to compare performance against competitors and adjust strategies in real time. Results are delivered through a dashboard that surfaces SOV growth, category mentions, and conversion impact, allowing brands to capture traffic and sales from LLM‑driven shopping experiences.
Target Audience
Primary customers are consumer brands and retailers that sell directly to shoppers online and want to capture traffic from AI‑driven shopping assistants.
Features
- Continuous monitoring of AI shopping agents (ChatGPT, Gemini, Alexa Shopping, Walmart Sparky, Perplexity, etc.) to capture product mentions, citations, and ranking data
- Share‑of‑voice (SOV) benchmarking and competitor comparison across agents and categories
- AI‑optimized product listing generation using patented algorithms to improve citation likelihood and conversion rates
- Attribution analytics linking agent citations to traffic, conversion, and revenue uplift
- Dashboard with real‑time metrics on product rankings, citation sources, and performance trends
- Integration workflow for brands to upload product data and receive AI‑enhanced content for deployment on e‑commerce platforms