Azoma

Are you ready to ensure your brand is seen, surfaced, and preferred in the era of AI-powered shopping?

NicheAzoma provides a specialized, enterprise-grade platform for brands to gain visibility, optimize content, and track performance within the rapidly evolving landscape of AI-powered agentic commerce.

Azoma is an end-to-end enterprise platform designed to make products visible, recommended, and purchasable by AI shopping agents like ChatGPT, Google Gemini, Amazon Alexa Shopping, Walmart Sparky, and Perplexity. It provides tools for tracking AI agent visibility, optimizing product data and content, and integrating with existing e-commerce platforms to ensure brands are future-proofed for agentic commerce.

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Key Features:
  • Shopping Agent Visibility Tracking (SOV, Benchmarking, Attribution)
  • Product Ranking and Citation Tracking for AI agents
  • Agentic Commerce Readiness Audit for product data
  • AI-optimized product listing and content generation
  • Integrations with e-commerce platforms (Shopify, Amazon, Walmart) and workspaces (Slack, Teams)
Pros
  • Enterprise brands needing to optimize for AI shopping agents
  • E-commerce businesses aiming to increase product recommendations by AI
  • Marketing teams focused on AI visibility and agentic commerce
Cons
  • Primarily targets enterprise-level clients
  • Focuses specifically on AI shopping agents, not broad digital marketing
  • Requires integration with existing e-commerce and PIM systems
Pricing
enterprise
Starting at:Contact sales
Categories:
E-commerce & SalesMarketing & SEOBusiness & Enterprise
Tags:
AI shopping agentsagentic commerceAI visibilitye-commerce optimizationproduct recommendationsChatGPTGoogle GeminiAmazon RufusWalmart SparkyPerplexitycontent generationSEO for AI
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Quick Decision
Try if: You are an enterprise-level e-commerce brand looking to proactively optimize your product visibility and recommendations across emerging AI shopping agents like Amazon Rufus, ChatGPT, and Google Gemini.
Skip if: You are a small business or individual not focused on large-scale e-commerce optimization for AI agents, or if you are primarily looking for traditional SEO solutions.
Not for: Small businesses with limited e-commerce presence; Individuals not selling physical products; Users seeking general SEO tools
Trust Signals

  • Team Size

    medium

  • Funding

    MaRS IAF, Twinpath, Techstars, eBay Ventures
Compliance
Enterprise-grade security
Notable Customers
MARSHPRurocPerfect TedYogii & Deer & Oak
Tech Details
Platforms
web
Integrations
ShopifyAmazonWalmartSlackMicrosoft TeamsGoogle Analytics 4Google Search Console
Open Source
No
Support
Channels
email
Company

  • Name

    Ecomtent Inc.

  • Location

    Toronto, Canada & London, UK

Azoma is backed by MaRS IAF, Twinpath, Techstars, and eBay Ventures, with a team of visionary engineers and researchers working at the bleeding edge of AI innovation to help brands navigate agentic commerce.

FAQ

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. Shoppers express their intent, and AI agents handle the entire process from product discovery through checkout, including negotiating prices, applying discounts, and executing transactions.

How does Azoma measure visibility in AI agents like Meta AI or Claude?

Azoma measures visibility by tracking how your brand appears in AI-generated responses across various platforms. This includes mentions, positioning, sentiment, and inclusion in recommendations or comparisons. Results are aggregated across repeated prompts to provide reliable, trend-based insights.

Is Azoma suitable for global, enterprise-scale brands with multiple product lines?

Yes, Azoma is specifically designed for enterprise scale, supporting multi-brand portfolio management with centralized dashboards, unified reporting, and cross-brand performance benchmarking. Deployments are custom-configured for specific business objectives, organizational structure, and regional compliance requirements.

Use Cases
  • Enterprise brands needing to optimize for AI shopping agents
  • E-commerce businesses aiming to increase product recommendations by AI
  • Marketing teams focused on AI visibility and agentic commerce
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