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Zoovu

Guide shoppers to the right product

MCPAPINative readiness
About

What is Zoovu

Zoovu lets enterprise merchandising and GTM teams control every layer of the search and discovery experience — from reordering results via drag-and-drop to setting time-bound promotional rules and training an AI chat on your own product catalog. It's built for mid-market to enterprise e-commerce operations, particularly marketing teams and GTM engineers managing large, complex product catalogs across B2B and B2C channels. The standout capability is guided selling and product configuration: buyers answer questions and get narrowed, personalized recommendations rather than a raw results page — which matters most when SKU counts are high and product specs are technical. Product data enrichment is included in every plan, which reduces the need for a separate enrichment tool. That said, no native integrations are listed, so connecting Zoovu to your existing CRM or marketing stack will require custom API work.

Capabilities

Key features

Data enrichment

fills records with firmographic, technographic, or signal data

AI capabilities

autonomous multi-step actions

Data

real-time enrichment, firmographic + tech-stack data

Also ships

official SDK

Our verdict

Vanderbuild take

For marketing teams and GTM engineers running enterprise e-commerce, Zoovu sits at the intersection of data enrichment and on-site product discovery — it's not a generic search bolt-on, it's a merchandising control layer with enrichment baked in. The MCP server support means this is natively agent-callable, making it a credible orchestration layer if you're building agentic commerce workflows where AI agents need to query, configure, or surface products programmatically. Pricing is enterprise-tier with no public numbers — expect procurement involvement, annual contracts, and a usage-based component that scales with traffic. The honest gap is integrations: no native CRM or MAP connectors are listed, so your GTM engineer will be doing custom API work to close the loop between discovery data and your outbound or retention stack.

Mateusz Sekta
Founder, vanderbuild
The wedge

Agentic stack profile

MCP server
Yes

Live MCP server — agents can call this tool directly.

Zoovu has a dedicated MCP server designed for "Agentic Commerce," providing governed access to product intelligence, compatibility logic, and configuration rules for AI agents.

Open MCP →
API
REST

Programmatic access available.

REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.

API docs →
Agentic readiness
Native

Built for agents from the ground up.

MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.

Stack role
Enricher

Where this tool slots into an agentic pipeline.

Plays the role of Enricher in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly.

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Answers

Frequently asked questions

Does Zoovu have an MCP server?

Yes — Zoovu exposes a Model Context Protocol server. Zoovu has a dedicated MCP server designed for "Agentic Commerce," providing governed access to product intelligence, compatibility logic, and configuration rules for AI agents. See the MCP docs at https://zoovu.com/mcp-server.

Does Zoovu have a public API?

Yes — Zoovu ships a REST API. Docs: https://docs.zoovu.com/api/platform-api/platform-api.

How much does Zoovu cost?

Zoovu: pricing is custom, expect enterprise tier ($$$$) spend. Full pricing page: https://zoovu.com/pricing.

Who is Zoovu best for?

Zoovu is built for Marketing, GTM Engineer. Fits Enterprise, Mid-market (50-500)-sized teams.

How well does Zoovu fit an agentic sales stack?

Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.

Quick spec
MCP serverYes
ReadinessNative
Stack roleEnricher
Pricing
Custom
$$$$
Vendor pricing →
Ideal customer
Growth stage
Enterprise · Scale-up
Company size
Enterprise · Mid-market (50-500)
Best for
Marketing · GTM Engineer