ConvertMate

Designed for e-commerce merchants running on platforms including Adobe Commerce, Shopify, and other major commerce systems, ConvertMate applies AI agents to the marketing operations tasks that consume the most team time with the least strategic value.

The platform's AI-powered product feed optimization automatically structures and enriches product catalog feeds for Google Shopping, Facebook Dynamic Ads, and other advertising channels, ensuring that each product listing contains the optimal titles, attributes, and category mappings to maximize ad relevance scores and reduce cost-per-click.

This automated feed management eliminates the manual work of maintaining feed quality across large product catalogs where human review of each listing is impractical at scale.

ConvertMate's enhanced site search functionality improves the on-site product discovery experience by applying AI understanding of search intent to return more relevant results for shoppers' queries, including handling synonym matching, misspellings, and long-tail natural language searches that rule-based site search systems fail to address adequately.

Better on-site search directly drives conversion rate improvement by ensuring that customers who know what they want can find it quickly rather than abandoning to search Google instead.

AI-driven A/B testing across hundreds of page elements simultaneously allows ConvertMate to optimize product pages, collection pages, and landing pages at a scale that manual testing programs cannot match.

Rather than running one test at a time through a traditional testing queue, ConvertMate's AI agents experiment across multiple variables simultaneously and converge on winning combinations faster, compressing the optimization timeline from months to weeks across a merchant's full product catalog.