We've raised $4m to help leading consumer brands and retailers dominate the era of AI-driven Discoverability 👉 Read more 👈
We've raised $4m to help leading consumer brands and retailers
dominate the era of AI-driven Discoverability 👉 Read more 👈
We've raised $4m to help leading consumer brands and retailers dominate in the era of AI-driven Discoverability
👉 Read more 👈
AI Shopping
Agentic Commerce
Agentic Commerce Optimization
Make your products visible, recommended, and purchasable by AI shopping agents. Azoma helps brands win in the era of agentic commerce.
AI Shopping
Agentic Commerce
Agentic Commerce Optimization
Make your products visible, recommended, and purchasable by AI shopping agents. Azoma helps brands win in the era of agentic commerce.
Make your products visible, recommended, and purchasable by AI shopping agents. Azoma helps brands win in the era of agentic commerce.
Agentic Commerce Tracking
Shopping Agent Visibility
Gain complete visibility and control over how AI agents discover, rank, and purchase your products.
Visibility
24.7%
Oct
Nov
Dec
Jan
Feb
Mar
Apr
SOV Tracking
See how AI agents recommend your brand
Track your brand's performance across AI platforms like ChatGPT, Perplexity, Gemini, and Rufus. See exactly how your products appear in AI-generated responses and recommendations, with real-time alerts for visibility drops.
Product Ranking
Track which products AI agents choose
Monitor your competitors' AI search performance alongside your own. Analyzes how your brand and key competitors rank across AI platforms, providing strategic insights for market positioning.
SOV
Category 1
Mentions
Product 1
Product Description
5%
8
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
UGC
Topic Citations
Reddit.com
53 pages - 1573 citations
View all
Quora.com
27 pages - 567 citations
View all
Wikipedia.org
13 pages - 1232 citations
View all
Youtube.com
6 pages - 150 citations
View all
Tiktok.com
3 pages - 12 citations
View all
Citation Tracking
See what AI agents cite when recommending products
Understand the citation sources and trust signals behind agentic recommendations, and ensure your products are included.
Agentic Commerce Tracking
Shopping Agent Visibility
Gain complete visibility and control over how AI agents discover, rank, and purchase your products.
Dashboard
Visibility
Citations
Competition
Query Log
Visibility
24.7%
Oct
Nov
Dec
Jan
Feb
Mar
Apr
Share of Voice
24.7%
Your SOV has increased by 17% in the last 3 months
Export
Dashboard
Visibility
Citations
Competition
Query Log
Visibility
24.7%
Oct
Nov
Dec
Jan
Feb
Mar
Apr
Share of Voice
24.7%
Your SOV has increased by 17% in the last 3 months
Export
SOV Tracking
See how AI agents recommend your brand
Monitor how AI shopping agents discover, evaluate, and recommend your products across platforms like ChatGPT, Gemini, Google AI Mode, and Rufus.
Product Ranking
Track which products AI agents choose
Understand how AI agents recommend your products and which prompts activate discovery and purchase.
SOV
Category 1
Mentions
Product 1
Product Description
5%
8
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
SOV
Category 1
Mentions
Product 1
Product Description
5%
8
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
UGC
Topic Citations
Reddit.com
53 pages - 1573 citations
View all
Quora.com
27 pages - 567 citations
View all
Wikipedia.org
13 pages - 1232 citations
View all
Youtube.com
6 pages - 150 citations
View all
Tiktok.com
3 pages - 12 citations
View all
UGC
Topic Citations
Reddit.com
53 pages - 1573 citations
View all
Quora.com
27 pages - 567 citations
View all
Wikipedia.org
13 pages - 1232 citations
View all
Youtube.com
6 pages - 150 citations
View all
Tiktok.com
3 pages - 12 citations
View all
Citation Tracking
See what AI agents cite when recommending products
Understand the citation sources and trust signals behind agentic recommendations, and ensure your products are included.
Agentic Commerce Optimization
Optimize your product data & content for shopping agents
Improve product listings at scale, close data gaps that limit agent visibility, and ensure readiness for ACP and UCP standards.
Running Audit…
Generating Agent Readiness Score
Product 1
Product Description
5%
8
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
Product Audit
Agentic commerce readiness audit
Azoma evaluates PDPs and product data at SKU level. It flags GEO blockers such as schema issues, crawlability gaps, and JS-only content, and reviews titles, images, variants, and attributes.
Data Generation
Optimise every SKU for Agentic Shopping Engines
Azoma fills critical product data gaps, expanding attribute coverage to improve LLM understanding and discovery.
All
In progress
Score
Opportunities
Comp 1
Walmart
UCP enabled
Walmart
153 attributes enriched
17%
Shopify
Syncing 212 sku's
Syndicating content..
Syndicate
Content Syndication
Generate content for agent citation sources
Produce & syndicate optimised content designed for the third-party sources most commonly cited by AI shopping agents.
Content Generation
Generate Optimised Product Listings
Upload Samples
See previous results
Start with a site
Agentic Content & Image Generation
Generate optimised PDP content at scale
Automatically generate copy & images that are optimised for shopping agent visibility. Integrate your eCommerce site for bulk listing optimisation at the click of a button.
Agentic Commerce Optimization
Optimize your product data & content for shopping agents
Improve product listings at scale, close data gaps that limit agent visibility, and ensure readiness for ACP and UCP standards.
Running Audit…
Generating Agent Readiness Score
Product 1
Product Description
5%
8
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
Product Audit
Agentic commerce readiness audit
Azoma evaluates PDPs and product data at SKU level. It flags GEO blockers such as schema issues, crawlability gaps, and JS-only content, and reviews titles, images, variants, and attributes.
Data Generation
Optimise every SKU for Agentic Shopping Engines
Azoma fills critical product data gaps, expanding attribute coverage to improve LLM understanding and discovery.
All
In progress
Score
Opportunities
Comp 1
Walmart
UCP enabled
Walmart
153 attributes enriched
17%
Shopify
Syncing 212 sku's
Content Generation
Generate Optimised Product Listings
Upload Samples
See previous results
Start with a site
Agentic Content & Image Generation
Generate optimised PDP content at scale
Automatically generate copy & images that are optimised for shopping agent visibility. Integrate your eCommerce site for bulk listing optimisation at the click of a button.
Content Syndication
Generate content for agent citation sources
Produce & syndicate optimised content designed for the third-party sources most commonly cited by AI shopping agents.
Syndicating content..
Syndicate
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.
UCP/ACP
Agentic Protocol Integration
Implement agentic commerce protocols that allow AI agents to transact directly with you across AI models.
Azoma
Model
Azoma
Model
Technical Audit
Site Integration
Our complete auditing tool integrates directly with your website. Identify and fix structured data and rendering issues that prevent AI agents from properly understanding and referencing your site.
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
Slack
/
Teams
Workspace Integration
Receive AI search 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
Azoma
Workspace
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%
Shopify
Syncing 212 sku's
Amazon Rufus
212 sku's - 27 recommendations
75%
Walmart Sparky
57 sku's - optimized
92%
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.
UCP
/
ACP
Agentic Protocol Integration
Implement agentic commerce protocols that allow AI agents to transact directly with you across AI models.
Azoma
Model
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%
Technical Audit
Site Integration
Our complete auditing tool integrates directly with your website. Identify and fix structured data and rendering issues that prevent AI agents from properly understanding and referencing your site.
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
- class SchemaChecker:def __init__(self, required_fields):self.required_fields = required_fieldsself.status = "pending"def check_schema(self, data):missing_fields = []for field in self.required_fields:if field not in data or data[field] is None:missing_fields.append(field)if missing_fields:self.status = "invalid"return f"Schema validation failed! Missing: {', '.join(missing_fields)}"else:self.status = "valid"return "Schema validation passed!"def get_status(self):return f"Status: {self.status}"
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
FAQs
Agentic Commerce Questions
Our most asked questions by enterprises
Is Azoma.ai suitable for global, enterprise-scale brands with multiple product lines and regional divisions?
Yes, Azoma is specifically designed for enterprise scale. Our platform supports multi-brand portfolio management with centralized dashboards, unified reporting, and cross-brand performance benchmarking. You can track and optimize AI search visibility across different product lines, regional markets, and brand divisions from a single platform. Each deployment is custom-configured for your specific business objectives, organizational structure, and regional compliance requirements.
Can I apply specific brand guidelines or compliance requirements (e.g., FDA, regulated industries, luxury)?
Absolutely. Azoma's content generation and optimization engines can be configured with specific brand guidelines, compliance requirements, and industry regulations. Whether you're in supplements (FDA compliance), luxury goods, tobacco, or other regulated industries, our platform ensures all generated content adheres to your compliance standards while maintaining brand voice and messaging consistency across all AI platforms.
What Is Agentic Commerce?
Agentic commerce represents the next evolution of online shopping, where AI agents autonomously research, compare, and complete purchases on behalf of consumers. Unlike traditional e-commerce where customers navigate websites and make decisions themselves, agentic commerce enables shoppers to simply express their intent - such as "find me the best running shoes under $150" - and AI agents handle the entire process from product discovery through checkout. These intelligent agents can negotiate prices, apply discounts, monitor availability, and execute transactions within user-defined parameters, transforming shopping from a series of manual steps into a seamless, autonomous experience powered by natural language interactions.
Can Azoma.ai benchmark our performance against specific competitors across AI engines?
Yes, our Brand Radar feature provides comprehensive competitive intelligence across all major AI platforms. You can monitor how your brand and key competitors rank in AI search results, track share of voice, and analyze sentiment across different topics and product categories. We send the same prompts to AI models multiple times daily and average the results to ensure statistically reliable benchmarking despite the probabilistic nature of AI responses. This gives you actionable insights into competitive positioning and helps identify opportunities to outperform rivals in AI search visibility.
What does a typical pilot project look like and what are the deliverables?
A typical enterprise pilot runs 60-90 days and includes: initial AI search visibility audit across your priority products and competitors, custom platform configuration for your brand guidelines and compliance requirements, baseline performance measurement across key AI platforms, content optimization for a defined set of SKUs, and comprehensive reporting showing visibility improvements and competitive positioning changes. Deliverables include a detailed performance dashboard, optimization recommendations, competitive analysis report, and strategic roadmap for full-scale deployment. Most enterprises see measurable improvements in AI search visibility within the first 30 days.
How is Azoma.ai priced (e.g., per LLM, topic, territory, SKU, or feature)?
Azoma pricing is structured to scale with enterprise needs, typically based on the number of products/SKUs tracked, AI platforms monitored, and markets covered. We offer volume discounts and custom enterprise packages that include all core features, integrations, and support services. Pricing is designed to provide economies of scale as your AI search optimization grows. Contact us for a custom quote based on your specific requirements and scope.
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.
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
Agentic Commerce Questions
Our most asked questions by enterprises
Is Azoma.ai suitable for global, enterprise-scale brands with multiple product lines and regional divisions?
Yes, Azoma is specifically designed for enterprise scale. Our platform supports multi-brand portfolio management with centralized dashboards, unified reporting, and cross-brand performance benchmarking. You can track and optimize AI search visibility across different product lines, regional markets, and brand divisions from a single platform. Each deployment is custom-configured for your specific business objectives, organizational structure, and regional compliance requirements.
Can I apply specific brand guidelines or compliance requirements (e.g., FDA, regulated industries, luxury)?
Absolutely. Azoma's content generation and optimization engines can be configured with specific brand guidelines, compliance requirements, and industry regulations. Whether you're in supplements (FDA compliance), luxury goods, tobacco, or other regulated industries, our platform ensures all generated content adheres to your compliance standards while maintaining brand voice and messaging consistency across all AI platforms.
What Is Agentic Commerce?
Agentic commerce represents the next evolution of online shopping, where AI agents autonomously research, compare, and complete purchases on behalf of consumers. Unlike traditional e-commerce where customers navigate websites and make decisions themselves, agentic commerce enables shoppers to simply express their intent - such as "find me the best running shoes under $150" - and AI agents handle the entire process from product discovery through checkout. These intelligent agents can negotiate prices, apply discounts, monitor availability, and execute transactions within user-defined parameters, transforming shopping from a series of manual steps into a seamless, autonomous experience powered by natural language interactions.
Can Azoma.ai benchmark our performance against specific competitors across AI engines?
Yes, our Brand Radar feature provides comprehensive competitive intelligence across all major AI platforms. You can monitor how your brand and key competitors rank in AI search results, track share of voice, and analyze sentiment across different topics and product categories. We send the same prompts to AI models multiple times daily and average the results to ensure statistically reliable benchmarking despite the probabilistic nature of AI responses. This gives you actionable insights into competitive positioning and helps identify opportunities to outperform rivals in AI search visibility.
What does a typical pilot project look like and what are the deliverables?
A typical enterprise pilot runs 60-90 days and includes: initial AI search visibility audit across your priority products and competitors, custom platform configuration for your brand guidelines and compliance requirements, baseline performance measurement across key AI platforms, content optimization for a defined set of SKUs, and comprehensive reporting showing visibility improvements and competitive positioning changes. Deliverables include a detailed performance dashboard, optimization recommendations, competitive analysis report, and strategic roadmap for full-scale deployment. Most enterprises see measurable improvements in AI search visibility within the first 30 days.
How is Azoma.ai priced (e.g., per LLM, topic, territory, SKU, or feature)?
Azoma pricing is structured to scale with enterprise needs, typically based on the number of products/SKUs tracked, AI platforms monitored, and markets covered. We offer volume discounts and custom enterprise packages that include all core features, integrations, and support services. Pricing is designed to provide economies of scale as your AI search optimization grows. Contact us for a custom quote based on your specific requirements and scope.
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.