Marqo Pricing: How Its Ecommerce Search Is Bought

Pricing snapshot

What the platform includes

• A model trained on your store. Marqo trains a dedicated AI model on your product catalog and shopper behavior (MarqTune), and says it uses no synthetic data and no shared LLM. It also lists brand-specific models for domains such as fashion, beauty and furniture.

• Four discovery surfaces. Marqo names Search, Browse, Recommendations and Agentic Storefront as the surfaces its model serves.

• Search relevance. Instant indexing, semantic relevance, typo tolerance and multilingual comprehension, plus image and multimodal search with LLM-based image search built into the search model.

• Adaptive journeys. Results shift in real time between result lists, carousels, guided discovery and conversational search, based on shopper intent.

• Merchandising automation. AI handles ranking, boosts, filters and collections, generates tags and collections from relevance and conversion, and tunes results to business KPIs.

Settle these before you sign

• What the price covers. Get the price in writing, naming which of the four surfaces and which integration path (the API or a Shopify, Adobe Commerce or Salesforce Commerce Cloud connector) it includes, plus any minimum commitment and the renewal terms.

• Time to learn. The model learns from the clicks, carts and purchases the pixel records, so ask how long it needs to collect shopper data before you judge relevance, and whether you pay during that period.

• The ROI claim. Marqo claims measurable ROI in 14 days and reports case-study results such as a 17.7% uplift in conversion rate and a 19.8% increase in search revenue per user. These are Marqo's figures, not a promise for your store: set your own conversion and search-revenue baseline before rollout and agree how the 14-day result will be measured.

Take

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