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 👈
Dominate Agentic Commerce
Get your brand recommended by AI Agents
Get your brand recommended by AI Agents
Make your products visible, recommended, and purchasable by billions of shoppers using AI shopping agents like ChatGPT, Google Gemini, Amazon Rufus, Walmart Sparky, Perplexity etc, via our end-to-end enterprise workflow



Agenic Commerce Tracking
Shopping Agent Visibility
SOV
/
Benchmarking
/
Attribution
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. Track your performance vs your competitors.
Visibility
24.7%
Oct
Nov
Dec
Jan
Feb
Mar
Apr
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%
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
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.
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
Testimonials
Hear From Our Clients
“Azoma is a pioneer in the AI space, combining deep algorithmic expertise, data-driven mindset, and an incredibly supportive team that brings vision, energy, and imagination to every engagement. With their support we feel better equipped and future focussed to take on AI discovery”.

Saumya Kowtha
Global E-Commerce & AI Strategist, MARS

“There is a need for this service. There are a lot of vendors out there for ChatGPT, but we have not come across another that is building for Rufus and Sparky”

Robert Connor
Principal, Business Strategy Manager, HP
"Ruroc is now consistently the #1 most recommended Ski & Snowboarding Helmet brand by ChatGPT to our target customers across multiple Geographies, thanks to Azoma, and they have increased our site traffic from this channel 14x. As a $50m revenue D2C brand, they are the GEO tool of choice to get mentioned by ChatGPT Shopping ."

Daniel Rees
Founder, Ruroc

"As Europe's leading Matcha brand, we have seen tremendous value from our longstanding partnership with Azoma. Their platform has been instrumental in boosting top-of-funnel visibility among consumers searching for healthier energy drink alternatives on ChatGPT and Perplexity, contributing to our remarkable +532% year-over-year revenue growth across all channels".

Kelly Shaw
Head of Marketing, Perfect Ted

"Azoma has helped us increase our share of mentions from Amazon Rufus by 5x on average across our portfolio of Brands, whilst the product listing content they generated has been demonstrated in Amazon split-testing to increase conversion by +32%."

Sim Mahon
8-figure Amazon brand Portfolio owner (including Yogii & Deer & Oak)

"Azoma has been delivering tangible results by helping brands and retailers optimize for LLM-based search for three years, via their innovative technology across two patents, long before many of the new entrants were even founded."

Mark Evans
ex-CMO, Direct Line Group & NED, The Marketing Society


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%
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
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.
Syndicating content..
Syndicate
Content Syndication
Distribute content across agent citation sources
Produce & syndicate optimised content designed for the third-party sources most commonly cited by AI shopping agents.
Helping the world's leading consumer brands & retailers to win in the era of Agentic Shopping
Shopping Agent Visibility
Gain complete visibility and control over how AI agents discover, rank, and purchase your products.
SOV
/
Benchmarking
/
Attribution
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. Track you performance vs your competitors.
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
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%
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
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.
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
Helping the world's leading consumer brands & retailers to win in the era of Agentic Shopping
Shopping Agent Visibility
Gain complete visibility and control over how AI agents discover, rank, and purchase your products.
SOV
/
Benchmarking
/
Attribution
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. Track your performance vs your competitors.
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
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%
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
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.
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
Testimonials
Hear From Our Clients
“Azoma is a pioneer in the AI space, combining deep algorithmic expertise, data-driven mindset, and an incredibly supportive team that brings vision, energy, and imagination to every engagement. With their support we feel better equipped and future focussed to take on AI discovery”.

Saumya Kowtha
Global E-Commerce & AI Strategist, MARS

"Ruroc is now consistently the #1 most recommended Ski & Snowboarding Helmet brand by ChatGPT to our target customers across multiple Geographies, thanks to Azoma, and they have increased our site traffic from this channel 14x. As a $50m revenue D2C brand, they are the GEO tool of choice to get mentioned by ChatGPT Shopping ."

Daniel Rees
Founder, Ruroc

"Azoma has helped us increase our share of mentions from Amazon Rufus by 5x on average across our portfolio of Brands, whilst the product listing content they generated has been demonstrated in Amazon split-testing to increase conversion by +32%."

Sim Mahon
8-figure Amazon brand Portfolio owner (including Yogii & Deer & Oak)

"Azoma has been delivering tangible results by helping brands and retailers optimize for LLM-based search for three years, via their innovative technology across two patents, long before many of the new entrants were even founded."

Mark Evans
ex-CMO, Direct Line Group & NED, The Marketing Society

"As Europe's leading Matcha brand, we have seen tremendous value from our longstanding partnership with Azoma. Their platform has been instrumental in boosting top-of-funnel visibility among consumers searching for healthier energy drink alternatives on ChatGPT and Perplexity, contributing to our remarkable +532% year-over-year revenue growth across all channels".

Kelly Shaw
Head of Marketing, Perfect Ted

“There is a need for this service. There are a lot of vendors out there for ChatGPT, but we have not come across another that is building for Rufus and Sparky”

Robert Connor
Principal, Business Strategy Manager, HP

Testimonials
Hear From Our Clients
“Azoma is a pioneer in the AI space, combining deep algorithmic expertise, data-driven mindset, and an incredibly supportive team that brings vision, energy, and imagination to every engagement. With their support we feel better equipped and future focussed to take on AI discovery”.

Saumya Kowtha

Global E-Commerce & AI Strategist, MARS
“There is a need for this service. There are a lot of vendors out there for ChatGPT, but we have not come across another that is building for Rufus and Sparky”

Robert Connor
Principal, Business Strategy Manager, HP
"Ruroc is now consistently the #1 most recommended Ski & Snowboarding Helmet brand by ChatGPT to our target customers across multiple Geographies, thanks to Azoma, and they have increased our site traffic from this channel 14x. As a $50m revenue D2C brand, they are the GEO tool of choice to get mentioned by ChatGPT Shopping ."

Daniel Rees
Founder, Ruroc

"As Europe's leading Matcha brand, we have seen tremendous value from our longstanding partnership with Azoma. Their platform has been instrumental in boosting top-of-funnel visibility among consumers searching for healthier energy drink alternatives on ChatGPT and Perplexity, contributing to our remarkable +532% year-over-year revenue growth across all channels".

Kelly Shaw
Head of Marketing, Perfect Ted

"Azoma has been delivering tangible results by helping brands and retailers optimize for LLM-based search for three years, via their innovative technology across two patents, long before many of the new entrants were even founded."

Mark Evans
ex-CMO, Direct Line Group & NED, The Marketing Society

"Azoma has helped us increase our share of mentions from Amazon Rufus by 5x on average across our portfolio of Brands, whilst the product listing content they generated has been demonstrated in Amazon split-testing to increase conversion by +32%."

Sim Mahon
8-figure Amazon brand Portfolio owner (including Yogii & Deer & Oak)


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%
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
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 Syndication
Distribute content across agent citation sources
Produce & syndicate optimised content designed for the third-party sources most commonly cited by AI shopping agents.
Syndicating content..
Syndicate
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.
Running Audit…
Generating Agent 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
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
Distribute content across 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
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
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
Amazon
/
/
Walmart
Shopify
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%
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
Azoma
Workspace
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}"
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.
Implement agentic commerce protocols that allow AI agents to transact directly with you across AI models.
UCP
/
ACP
Agentic Protocol Integration
Azoma
Model
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%
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}"
- 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
Azoma
Workspace
Take control of the AI Conversation
Gain visibility, generate content to influence AI Engines and ensure you are being represented accurately with Azoma


Security
Enterprise-Grade Security & Compliance
Azoma is built with enterprise-grade security and compliance standards to protect your competitive data and ensure seamless integration with your existing security infrastructure.
RegGuardTM Compliance
Built-in compliance brain that scans all generated content against FDA/DSHEA rules and brand guidelines, automatically enforcing compliance outcomes with tamper-proof audit trails for legal teams.
Single Sign-On (SSO)
Streamline team access with enterprise SSO using SAML or OIDC, enhancing security while simplifying user authentication across your organization.
Automated Data Protection
Enterprise-grade encryption, automated backups, and secure data retention policies ensure your brand assets and performance data are always protected.
Security
Enterprise-Grade Security & Compliance
Azoma is built with enterprise-grade security and compliance standards to protect your competitive data and ensure seamless integration with your existing security infrastructure.
RegGuardTM Compliance
Built-in compliance brain that scans all generated content against FDA/DSHEA rules and brand guidelines, automatically enforcing compliance outcomes with tamper-proof audit trails for legal teams.
Single Sign-On (SSO)
Streamline team access with enterprise SSO using SAML or OIDC, enhancing security while simplifying user authentication across your organization.
Automated Data Protection
Enterprise-grade encryption, automated backups, and secure data retention policies ensure your brand assets and performance data are always protected.
Security
Enterprise-Grade Security & Compliance
Azoma is built with enterprise-grade security and compliance standards to protect your competitive data and ensure seamless integration with your existing security infrastructure.
RegGuardTM Compliance
Built-in compliance brain that scans all generated content against FDA/DSHEA rules and brand guidelines, automatically enforcing compliance outcomes with tamper-proof audit trails for legal teams.
Single Sign-On (SSO)
Streamline team access with enterprise SSO using SAML or OIDC, enhancing security while simplifying user authentication across your organization.
Automated Data Protection
Enterprise-grade encryption, automated backups, and secure data retention policies ensure your brand assets and performance data are always protected.


FAQs
Frequently Asked Questions
Here are some of the most common questions people ask us about Azoma
Here are some of the most common questions people ask us about Azoma
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.
Is Agentic Commerce important in 2026?
Agentic commerce has become a board level concern - Rufus adoption reached 38% by Black Friday 2025, when AI chatbots and agents drove $14.2 billion in sales globally ($3 billion in the U.S. alone), with Amazon's Andy Jassy confirming that customers using Rufus are 60% more likely to complete purchases and the platform is on track to deliver over $10 billion in incremental annualized sales. With the average American prompting ChatGPT once daily and one in four of these conversations being potentially brand-relevant according to OpenAI's data, 2025 marked the pivotal year of Answer Engine Optimization, making AI visibility and agentic commerce capabilities essential for any brand competing in 2026's AI-first marketplace.
What Is Answer Engine Optimization / Generative Engine Optimization?
Answer Engine Optimization (AEO), also known as Generative Engine Optimization (GEO), is the practice of optimizing your brand's content and digital presence to appear in AI-powered answer engines like ChatGPT, Claude, Perplexity, and retail-specific assistants like Amazon Rufus and Walmart Sparky. Unlike traditional SEO which focuses on ranking in search results, AEO ensures your products, services, and brand information are accurately represented when AI systems generate responses to user queries. Success in AEO requires two critical elements: creating optimized GEO content that's structured for AI comprehension (including clear product descriptions, detailed specifications, FAQ formats, and comparison data), and ensuring this content is cited across a broad range of authoritative sources. Answer engines typically synthesize information from multiple websites, reviews, articles, and databases to build confidence in their responses.
How is Generative Engine Optimization different from traditional SEO?
Traditional SEO focuses on improving a website's ranking in search engine results pages (SERPs) using keywords and backlinks. GEO, on the other hand, aims to influence the generation of AI-driven answers and search results by optimizing content for AI-powered search engines. While traditional SEO targets click-through rates by positioning web pages higher in link-based results, GEO prioritizes creating content that AI systems can synthesize and cite within their conversational responses. This fundamental shift reflects how users increasingly seek direct answers from AI rather than browsing multiple websites, requiring content creators to optimize for AI comprehension and attribution rather than traditional ranking signals.
Is Azoma the right partner for me to navigate AEO/GEO & Agentic Commerce?
Azoma is purpose-built for consumer brands and retailers seeking enterprise-level AI optimization. As the only venture-backed AEO software platform with a vertical focus on ecommerce, we specialize exclusively in helping consumer companies maintain market leadership in the era of agentic commerce. We partner with the world's most recognized brands—including Colgate, L'Oréal, Unilever, P&G, HP, and Reckitt—delivering market-leading features designed specifically for consumer commerce, such as our proprietary Amazon Rufus and Walmart Sparky analytics and PDP content generation tools. Unlike generalist solutions, we don't try to be everything to everyone; instead, we excel at one thing: providing enterprise-grade infrastructure that helps consumer brands dominate across AI shopping assistants. If you're a consumer brand or retailer looking to optimize your presence across ChatGPT, Amazon Rufus, Walmart Sparky, and other AI platforms, Azoma is designed specifically for your needs.
How is Azoma an "end-to-end" workflow solution?
Azoma provides the complete workflow for Generative Engine Optimization (GEO) & Agentic Commerce Optimization (ACO) - from monitoring your brand's visibility across AI platforms (ChatGPT, Gemini, Perplexity, Amazon Rufus, Walmart Sparky) with share of voice analytics, to generating AI-optimized content at scale (product listings, blogs, recipes, visual assets), to one-click publishing through direct integrations with Salsify and other enterprise systems. Our patented technology predicts how AI will respond to customer queries, optimizes content that drives 5x higher conversion rates from AI traffic, and enables multi-team collaboration through a centralized dashboard, making Azoma the product intelligence and syndication layer for agentic commerce.
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.
Is Agentic Commerce important in 2026?
Agentic commerce has become a board level concern - Rufus adoption reached 38% by Black Friday 2025, when AI chatbots and agents drove $14.2 billion in sales globally ($3 billion in the U.S. alone), with Amazon's Andy Jassy confirming that customers using Rufus are 60% more likely to complete purchases and the platform is on track to deliver over $10 billion in incremental annualized sales. With the average American prompting ChatGPT once daily and one in four of these conversations being potentially brand-relevant according to OpenAI's data, 2025 marked the pivotal year of Answer Engine Optimization, making AI visibility and agentic commerce capabilities essential for any brand competing in 2026's AI-first marketplace.
What Is Answer Engine Optimization / Generative Engine Optimization?
Answer Engine Optimization (AEO), also known as Generative Engine Optimization (GEO), is the practice of optimizing your brand's content and digital presence to appear in AI-powered answer engines like ChatGPT, Claude, Perplexity, and retail-specific assistants like Amazon Rufus and Walmart Sparky. Unlike traditional SEO which focuses on ranking in search results, AEO ensures your products, services, and brand information are accurately represented when AI systems generate responses to user queries. Success in AEO requires two critical elements: creating optimized GEO content that's structured for AI comprehension (including clear product descriptions, detailed specifications, FAQ formats, and comparison data), and ensuring this content is cited across a broad range of authoritative sources. Answer engines typically synthesize information from multiple websites, reviews, articles, and databases to build confidence in their responses.
How is Generative Engine Optimization different from traditional SEO?
Traditional SEO focuses on improving a website's ranking in search engine results pages (SERPs) using keywords and backlinks. GEO, on the other hand, aims to influence the generation of AI-driven answers and search results by optimizing content for AI-powered search engines. While traditional SEO targets click-through rates by positioning web pages higher in link-based results, GEO prioritizes creating content that AI systems can synthesize and cite within their conversational responses. This fundamental shift reflects how users increasingly seek direct answers from AI rather than browsing multiple websites, requiring content creators to optimize for AI comprehension and attribution rather than traditional ranking signals.
Is Azoma the right partner for me to navigate AEO/GEO & Agentic Commerce?
Azoma is purpose-built for consumer brands and retailers seeking enterprise-level AI optimization. As the only venture-backed AEO software platform with a vertical focus on ecommerce, we specialize exclusively in helping consumer companies maintain market leadership in the era of agentic commerce. We partner with the world's most recognized brands—including Colgate, L'Oréal, Unilever, P&G, HP, and Reckitt—delivering market-leading features designed specifically for consumer commerce, such as our proprietary Amazon Rufus and Walmart Sparky analytics and PDP content generation tools. Unlike generalist solutions, we don't try to be everything to everyone; instead, we excel at one thing: providing enterprise-grade infrastructure that helps consumer brands dominate across AI shopping assistants. If you're a consumer brand or retailer looking to optimize your presence across ChatGPT, Amazon Rufus, Walmart Sparky, and other AI platforms, Azoma is designed specifically for your needs.
How is Azoma an "end-to-end" workflow solution?
Azoma provides the complete workflow for Generative Engine Optimization (GEO) & Agentic Commerce Optimization (ACO) - from monitoring your brand's visibility across AI platforms (ChatGPT, Gemini, Perplexity, Amazon Rufus, Walmart Sparky) with share of voice analytics, to generating AI-optimized content at scale (product listings, blogs, recipes, visual assets), to one-click publishing through direct integrations with Salsify and other enterprise systems. Our patented technology predicts how AI will respond to customer queries, optimizes content that drives 5x higher conversion rates from AI traffic, and enables multi-team collaboration through a centralized dashboard, making Azoma the product intelligence and syndication layer for agentic commerce.
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.
Is Agentic Commerce important in 2026?
Agentic commerce has become a board level concern - Rufus adoption reached 38% by Black Friday 2025, when AI chatbots and agents drove $14.2 billion in sales globally ($3 billion in the U.S. alone), with Amazon's Andy Jassy confirming that customers using Rufus are 60% more likely to complete purchases and the platform is on track to deliver over $10 billion in incremental annualized sales. With the average American prompting ChatGPT once daily and one in four of these conversations being potentially brand-relevant according to OpenAI's data, 2025 marked the pivotal year of Answer Engine Optimization, making AI visibility and agentic commerce capabilities essential for any brand competing in 2026's AI-first marketplace.
What Is Answer Engine Optimization / Generative Engine Optimization?
Answer Engine Optimization (AEO), also known as Generative Engine Optimization (GEO), is the practice of optimizing your brand's content and digital presence to appear in AI-powered answer engines like ChatGPT, Claude, Perplexity, and retail-specific assistants like Amazon Rufus and Walmart Sparky. Unlike traditional SEO which focuses on ranking in search results, AEO ensures your products, services, and brand information are accurately represented when AI systems generate responses to user queries. Success in AEO requires two critical elements: creating optimized GEO content that's structured for AI comprehension (including clear product descriptions, detailed specifications, FAQ formats, and comparison data), and ensuring this content is cited across a broad range of authoritative sources. Answer engines typically synthesize information from multiple websites, reviews, articles, and databases to build confidence in their responses.
How is Generative Engine Optimization different from traditional SEO?
Traditional SEO focuses on improving a website's ranking in search engine results pages (SERPs) using keywords and backlinks. GEO, on the other hand, aims to influence the generation of AI-driven answers and search results by optimizing content for AI-powered search engines. While traditional SEO targets click-through rates by positioning web pages higher in link-based results, GEO prioritizes creating content that AI systems can synthesize and cite within their conversational responses. This fundamental shift reflects how users increasingly seek direct answers from AI rather than browsing multiple websites, requiring content creators to optimize for AI comprehension and attribution rather than traditional ranking signals.
Is Azoma the right partner for me to navigate AEO/GEO & Agentic Commerce?
Azoma is purpose-built for consumer brands and retailers seeking enterprise-level AI optimization. As the only venture-backed AEO software platform with a vertical focus on ecommerce, we specialize exclusively in helping consumer companies maintain market leadership in the era of agentic commerce. We partner with the world's most recognized brands—including Colgate, L'Oréal, Unilever, P&G, HP, and Reckitt—delivering market-leading features designed specifically for consumer commerce, such as our proprietary Amazon Rufus and Walmart Sparky analytics and PDP content generation tools. Unlike generalist solutions, we don't try to be everything to everyone; instead, we excel at one thing: providing enterprise-grade infrastructure that helps consumer brands dominate across AI shopping assistants. If you're a consumer brand or retailer looking to optimize your presence across ChatGPT, Amazon Rufus, Walmart Sparky, and other AI platforms, Azoma is designed specifically for your needs.
How is Azoma an "end-to-end" workflow solution?
Azoma provides the complete workflow for Generative Engine Optimization (GEO) & Agentic Commerce Optimization (ACO) - from monitoring your brand's visibility across AI platforms (ChatGPT, Gemini, Perplexity, Amazon Rufus, Walmart Sparky) with share of voice analytics, to generating AI-optimized content at scale (product listings, blogs, recipes, visual assets), to one-click publishing through direct integrations with Salsify and other enterprise systems. Our patented technology predicts how AI will respond to customer queries, optimizes content that drives 5x higher conversion rates from AI traffic, and enables multi-team collaboration through a centralized dashboard, making Azoma the product intelligence and syndication layer for agentic commerce.
Lead the AI shift. Or get lost in it
Future-Proof Your Brand for AI Search
Ensure you are seen above your competitors in AI-powered search, 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 AI-powered search, 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.













