Is Your Store Ready for
AI-Powered Commerce?
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What We Measure
Our technology evaluates your catalog across 6 core technical pillars to determine your store's readiness for AI-powered search, personalization, and voice agents.
Product Data Completeness
Checks if products have essential descriptions, specifications, and structured attributes.
Taxonomy & Structure
Analyzes category breadcrumbs, collections, and navigational taxonomy clarity.
AI Content Quality
Evaluates product descriptions for AI search readability, natural language, and searchability.
Structured Data & Schema
Validates JSON-LD, microdata schemas, and rich result metadata eligibility.
Product Relationships
Measures product recommendation graphs, bundles, and cross-linking strength.
API & Agentic Readiness
Tests crawl speed, structure stability, and readability for autonomous AI agents.
How AI-Powered Commerce Works
Unlike traditional search engines that direct humans to webpages, autonomous AI agents crawl catalogs, compare options, and purchase goods directly via APIs.
Crawl & Discovery
AI agents and web crawlers discover your machine-readable catalog definitions rather than scanning raw HTML layouts. Structured schema, correct sitemaps, and standardized manifests are analyzed.
Intent Matching
When a customer gives a prompt like "Find a premium leather bag under $150," the agent evaluates product metadata, specifications, and inventory availability to pick the best match.
Autonomous Transaction
Rather than redirecting the shopper to fill forms manually, the agent securely authorizes transactions and calls standardized checkout APIs to place the order instantly.