Lily AI

Founded 2015

Enrich retail product catalog data to improve ad and search performance

Pricing model

Demo

You can use Lily AI to enrich your retail product catalog with detailed attributes that search engines and shopping bots understand. It scans existing product data, fills in missing details, and structures catalog feeds for Google Merchant Center, Meta Ads, and AI search engines. You can run controlled A/B tests to measure direct revenue lift across campaigns and onsite search. By translating technical merchandise specifications into consumer search vocabulary, it connects shoppers to products across Google Shopping, chat assistants, and web storefronts without manual catalog tagging.

What Lily AI does

Audit Google Merchant Center feeds for data gapsAdd missing descriptive tags to apparel and retail inventoryConduct holdout A/B experiments on advertising feedsFormat product details into machine-readable JSON schemasTrack high-demand consumer search terms for specific SKUsExport enriched product feeds into existing commerce stacksReview performance comparison metrics against control groupsEnriches product catalog data with customer-facing attributes and keywordsIdentifies missing tags and descriptions in Google Merchant Center feedsRuns matched-spend A/B tests to verify revenue and ROAS changesGenerates machine-readable product schemas for conversational search botsTranslates merchant specifications into consumer search languageAudits catalog feeds to surface high-demand search term gapsSyncs updated attribute data across paid channels and onsite search

Pricing breakdown

Pricing model: Book a demo

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