Agentic Commerce, Decoded conference is headed to New York on the 4th June! 👉 Get your ticket 👈
Agentic Commerce, Decoded conference is headed to New York on the 4th June! 👉 Get your ticket 👈
Agentic Commerce, Decoded conference is headed to New York on the 4th June! 👉 Get your ticket 👈
Google's Commerce Protocol
Optimise Your Catalog For The Universal Commerce Protocol
Optimise Your Catalog For The Universal Commerce Protocol
Azoma audits, enriches & syndicates your product data to Google & other UCP-enabled surfaces, ensuring you're visible inside agentic shopping engines.
Why Your Catalog Needs Optimising
AI Agents Are Buying for Customers — They Choose Better Data
Your catalog was built for legacy SEO
Explicit, structured product data - not keywords - determines what gets surfaced and what gets ignored.
Incomplete product data will leave you unseen
When product data is incomplete, inconsistent, or unclear, AI agents exclude your products entirely.
Product discovery is no longer led by humans
65% of consumers now use AI platforms for finding & purchasing products .
Why Your Catalog Needs Optimising
AI Agents Are Buying for Customers — They Choose Better Data
Product discovery is no longer led by humans
65% of consumers now use AI platforms for finding & purchasing products .
Your catalog was built for legacy SEO
Explicit, structured product data - not keywords - determines what gets surfaced and what gets ignored.
Incomplete product data will leave you unseen
When product data is incomplete, inconsistent, or unclear, AI agents exclude your products entirely.
Agentic Commerce Optimisation
Audit, enrich & syndicate your product data
Our end-to-end platform analyses your product data, enriches and syndicates it to relevant endpoints to drive visibility in Gemini & other UCP-enabled shopping agents.
Running Audit…
Generating UCP Readiness Score
Product 1
Product Description
5%
9
Product 2
Product Description
5%
8
Product 3
Product Description
4.5%
7
Product 4
Product Description
3.5%
5
Product 5
Product Description
3.5%
4
Audit
Audit Product Data Foundations
Understand how your catalogue is structured and where it breaks down. Identify gaps in product–variant relationships, inconsistent identifiers, and incomplete attributes so agents can reliably interpret, retrieve, and recommend your products.
Enrich
Enrich Variants for Transaction Readiness
Execute improvements at the variant level where purchases happen. Standardise SKUs, refine variant naming, and ensure pricing and availability are accurate and complete so agents can move seamlessly from recommendation to checkout.
All
In progress
Score
Opportunities
Comp 1
83%
Adding Variants
526 Variants added
Attribute Enrichment
153 attributes enriched
17%
Categorisation Enhancement
Syncing 212 SKUs
Your Brand
Gemini
Syndicate
Syndicate Data with Integrity
Distribute consistent, real-time product data across every surface. Keep identifiers, pricing, and availability aligned so agents can trust your catalogue, enabling accurate retrieval and frictionless transactions across channels.
Integrations
Seamless Integration, Maximum Impact
Connect Azoma to your existing technology stack through key integration points. Our platform enhances your current workflows while delivering enterprise-scale agentic commerce readiness.
Amazon
/
Shopify
/
Walmart
Ecommerce Platform Integration
Connect directly to your ecommerce stack and PIM systems with secure API access, enabling seamless product data synchronization and automated ACO optimization workflows.
Shopify
Syncing 212 sku's
Amazon Rufus
212 sku's - 27 recommendations
75%
Walmart Sparky
57 sku's - optimized
92%
Slack
/
Teams
Workspace Integration
Receive Agentic Commerce insights, performance alerts, and competitive intelligence directly in your team's Slack or Microsoft Teams channels, keeping everyone aligned on your AI visibility strategy.
Azoma
Workspace
Running Audit…
Generating UCP Readiness Score
Product 1
Product Description
5%
9
Product 2
Product Description
5%
8
Product 3
Product Description
4.5%
7
Product 4
Product Description
3.5%
5
Product 5
Product Description
3.5%
4
Audit
Audit Product Data Foundations
Understand how your catalogue is structured and where it breaks down. Identify gaps in product–variant relationships, inconsistent identifiers, and incomplete attributes so agents can reliably interpret, retrieve, and recommend your products.
Syndicate
Syndicate Data with Integrity
Distribute consistent, real-time product data across every surface. Keep identifiers, pricing, and availability aligned so agents can trust your catalogue, enabling accurate retrieval and frictionless transactions across channels.
Your Brand
Gemini
All
In progress
Score
Opportunities
Comp 1
83%
Adding Variants
526 Variants added
Attribute Enrichment
153 attributes enriched
17%
Categorisation Enhancement
Syncing 212 SKUs
Your Brand
Model
Enrich
Enrich Variants for Transaction Readiness
Execute improvements at the variant level where purchases happen. Standardise SKUs, refine variant naming, and ensure pricing and availability are accurate and complete so agents can move seamlessly from recommendation to checkout.
Agentic Commerce Optimisation
Audit, enrich & syndicate your product data
Our end-to-end platform analyses your product data, enriches and syndicates it to relevant endpoints to drive visibility in Gemini & other UCP-enabled shopping agents.
FAQs
Universal Commerce Protocol
Our most asked questions by enterprises
What is the universal commerce protocol?
The Universal Commerce Protocol (UCP) is an emerging open standard that gives AI assistants, retailers, and payment systems a shared way to handle online shopping end-to-end. Instead of each store building its own integrations, UCP acts like a common language that lets an AI discover products, compare options, add items to a basket, and complete checkout across different platforms seamlessly. In effect, it shifts commerce from something users manually navigate to something AI can execute on their behalf.
How is this different from traditional product feeds?
How is this different from traditional product feeds? Traditional product feeds are designed to meet the requirements of search engines and marketplaces. They focus on basic fields like titles, prices, and a limited set of attributes to get products listed. Agentic commerce goes further. AI agents use product data to understand, compare, and select products, not just display them. That requires richer attributes, clearer structure, and consistent data across your catalog. A standard feed helps you appear. High-quality, structured data is what helps you get chosen.
What does the audit do?
The audit analyses your catalogue for completeness, structure, consistency, and accuracy. It highlights gaps and gives clear recommendations to improve how your products are understood by AI.
What does enriching data mean?
It means improving your product information. This includes better titles, more detailed attributes, clearer descriptions, and stronger categorisation so AI can match and recommend your products more effectively.
Where is my data syndicated?
Your product data is distributed to AI shopping environments like ChatGPT and other ACP-enabled platforms. It is formatted to meet the requirements of each channel.
What if my data is not optimised?
If your data is incomplete or inconsistent, AI agents may ignore your products. Good data is no longer just an advantage. It is required to be visible.
Take control of the AI Conversation
Gain visibility, generate content to influence AI Engines and ensure you are being represented accurately with Azoma
Take control of the AI Conversation
Gain visibility, generate content to influence AI Engines and ensure you are being represented accurately with Azoma
FAQs
Universal Commerce Protocol
Our most asked questions by enterprises
What is the universal commerce protocol?
The Universal Commerce Protocol (UCP) is an emerging open standard that gives AI assistants, retailers, and payment systems a shared way to handle online shopping end-to-end. Instead of each store building its own integrations, UCP acts like a common language that lets an AI discover products, compare options, add items to a basket, and complete checkout across different platforms seamlessly. In effect, it shifts commerce from something users manually navigate to something AI can execute on their behalf.
How is this different from traditional product feeds?
How is this different from traditional product feeds? Traditional product feeds are designed to meet the requirements of search engines and marketplaces. They focus on basic fields like titles, prices, and a limited set of attributes to get products listed. Agentic commerce goes further. AI agents use product data to understand, compare, and select products, not just display them. That requires richer attributes, clearer structure, and consistent data across your catalog. A standard feed helps you appear. High-quality, structured data is what helps you get chosen.
What does the audit do?
The audit analyses your catalogue for completeness, structure, consistency, and accuracy. It highlights gaps and gives clear recommendations to improve how your products are understood by AI.
What does enriching data mean?
It means improving your product information. This includes better titles, more detailed attributes, clearer descriptions, and stronger categorisation so AI can match and recommend your products more effectively.
Where is my data syndicated?
Your product data is distributed to AI shopping environments like ChatGPT and other ACP-enabled platforms. It is formatted to meet the requirements of each channel.
What if my data is not optimised?
If your data is incomplete or inconsistent, AI agents may ignore your products. Good data is no longer just an advantage. It is required to be visible.
What is Agentic Merchant Protocol (AMP)?
AMP is Azoma’s platform for structuring and distributing product intelligence so AI agents represent brands accurately when recommending products to consumers.
Why is AMP needed?
Consumers are increasingly discovering and choosing products through AI assistants rather than browsing websites. AMP ensures those agents use accurate, brand-approved information.
How is AMP different from ACP or UCP?
ACP and UCP connect product data to specific AI platforms. AMP sits above them, giving brands a single system to define and distribute product intelligence across all agent ecosystems.
Who is AMP for?
AMP is designed for enterprise brands, retailers and manufacturers that want control over how their products are represented in AI-driven commerce.
Does AMP replace existing ecommerce systems?
No. AMP works alongside existing systems such as PIMs, ecommerce platforms and marketplaces, acting as a coordination layer for product intelligence.
Which companies are using AMP?
Early adopters include global consumer brands such as L’Oréal, Unilever, Mars, Beiersdorf and Reckitt.
Prepare Your Brand
Future-proof your brand for Agentic Commerce
Ensure you are seen above your competitors in agent-powered shopping, across ChatGPT, Amazon RUFUS, Perplexity, Google AI Overviews, with our end-to-end solution. Be first to market to capture demand from billions of high-intent queries.
Ensure you are seen above your competitors in agentic shopping, across ChatGPT, Amazon RUFUS, Perplexity, Google AI Overviews, with our end-to-end solution. Be first to market to capture demand from billions of high-intent queries.
Lead the AI shift. Or get lost in it
Future-Proof Your Brand for Agentic Commerce
Ensure you are chosen above your competitors in agentic shopping, across ChatGPT, Amazon RUFUS, Perplexity, Google AI Overviews, with our end-to-end solution. Be first to market to capture demand from billions of high-intent queries.