# Clione vs Azoma: the marketplace shelf or your own store

> Clione vs Azoma: Azoma optimises enterprise brands for AI shopping agents and marketplaces; Clione publishes catalog signals in your own SMB store.

URL: https://clione.ai/vs/azoma/
Lang: en

## The verdict

**Pick Azoma** if you are a large consumer goods brand and a real share of your sales runs through marketplaces and retailer agents. Azoma is built for that shelf: it fills product attributes, maps the questions shoppers put to AI, watches AI answers for wrong claims about your products and ties visibility to revenue per SKU. Its customers include Mars, L'Oréal, P&G and Unilever, and its backers include dunnhumby ventures.

**Pick Clione** if you are a growing SMB and your own store is where the sale happens. Clione enriches every product, category and page, writes the structured data, the FAQs and the meta, publishes them through your platform's own API when you press Push and then reads the live page to tell you what actually rendered.

## The shelf you don't own

Azoma's founder, Max Sinclair, came from Amazon, and it shows in the best way. The agents Azoma names first are Amazon Rufus, Walmart Sparky and Alexa for Shopping, and its content work extends to the sources AI assistants cite. For a brand whose products sit on someone else's shelf, that is the right fight.

Clione picks the other fight: the store you own. It writes into your product pages through Shopify, BigCommerce or WooCommerce, keeps the last three versions of every change, and tells you when a PIM or the platform overwrites a field it pushed. The question to put to any tool in this space is the same one: what exactly lands on my own product page, and who checks it?

## Where Azoma is stronger

- **Marketplaces and retailer agents.** Amazon Rufus, Walmart Sparky and Alexa for Shopping, as well as ChatGPT, Gemini, Meta AI and Claude. Clione measures ChatGPT and Gemini only.
- **Wrong answers, caught.** Answer Integrity watches AI answers for inaccurate product claims and competitor misrepresentation, with a Push fix step. Clione does not check the facts in an assistant's answer.
- **Content beyond the store.** PDP copy, blog content and syndication to the sources AI agents cite. Clione writes no blog posts.
- **Enterprise references.** Mars, L'Oréal, P&G and Unilever, and a $4M pre-Series A in December 2025.

## Where Clione is different

- **It publishes in your store and checks the page.** Signals go out through the platform's own API, and after each push Clione fetches the live page and reports what rendered against what it pushed.
- **It writes what machines read on your domain.** A JSON-LD graph on every product page, FAQs across the catalog, keywords and meta, and a plain-text document per product served on your store's own domain.
- **It covers the whole store.** Products, categories or collections, and content pages.
- **It sends the catalog where shopping agents read it.** A daily feed to ChatGPT shopping and a supplemental feed to Google Merchant Center, from the enriched catalog.

## Sources

Facts about Azoma were read on 15 October 2026 from [azoma.ai](https://www.azoma.ai/), [Azoma's ChatGPT shopping visibility page](https://www.azoma.ai/agents/chat-gpt-shopping-visibility), [Jewish News, December 2025](https://www.jewishnews.co.uk/azoma-secures-4m-to-boost-brand-discovery-in-ai-driven-shopping/) and [Retail Technology Innovation Hub, September 2026](https://retailtechinnovationhub.com/home/2026/9/17/azoma-lands-investment-from-dunnhumby-ventures-to-accelerate-roadmap-for-agentic-commerce-optimisation-platform). "Not documented" means we found no public source for it, not that it does not exist. If something here is out of date, [tell us](/contact/) and we will correct it.