ZeoAI

ZeoAI is a customer data platform (CDP) marketed by Zeotap as 'the CDP for the agentic era.' It is designed for enterprise brands that need to unify customer data and deploy AI-driven decisioning across marketing, sales, and service without being locked into a single model or agent.

Reviewed by 7wData

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Publisher review

ZeoAI is a customer data platform (CDP) marketed by Zeotap as 'the CDP for the agentic era.' It is designed for enterprise brands that need to unify customer data and deploy AI-driven decisioning across marketing, sales, and service without being locked into a single model or agent. The platform targets organizations managing large-scale, omnichannel customer interactions — including retailers, media companies, and telecoms — and claims to handle the full data lifecycle from raw ingestion to real-time activation. Notable early adopters include Marktplaats.nl, Virgin, Tim, Sky, Rewe, and Douglas.

The platform operates on three layers: AI-Ready Data, Agentic Decisioning, and an Open Intelligence Layer. AI-Ready Data transforms raw, unstructured customer data into structured, contextualized assets through automated catalog mapping — ZeoAI reports an 86% reduction in setup time using this feature. Agentic Decisioning applies next-best-offer models that have delivered a 37% increase in conversion rates and a 24% reduction in cost per visit via AI audiences and affinity modeling. The Open Intelligence Layer allows teams to plug in any downstream model or agent without black-box lock-in, enabling management by business goals rather than by predefined processes.

In the CDP market, ZeoAI competes with ActionIQ, Oracle Fusion Unity Data Platform, Convertlab Digital Marketing Hub, Bloomreach Marketing Automation, Composable CDP, Redpoint CDP, Amperity Customer Data Cloud, Salesforce Data 360, and Treasure Data. It differentiates through its explicit focus on agentic AI workflows and zero lock-in for models, whereas competitors like ActionIQ emphasize real-time orchestration and Amperity focuses on identity resolution. ZeoAI has won multiple awards in the Customer Data Platform category on SoftwareReviews, including top-rated badges for Strategy and Innovation and Product Impact in 2025 and 2026.

A key trade-off is that ZeoAI's heavy reliance on AI catalog mapping and agentic decisioning may require more upfront data maturity than traditional CDPs. The platform's pricing is not publicly disclosed, making cost comparison difficult. Its 'zero black-box lock-in' promise depends on the organization's ability to manage multiple models and agents independently, which can increase operational complexity. Additionally, while ZeoAI reports strong results for large brands, its suitability for mid-market or smaller companies is less documented, and the platform's dependency on Zeotap's broader ecosystem may limit flexibility for teams wanting a standalone CDP.

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How it works

  1. AI-Ready Data

    Transforms raw customer data into structured, contextualized assets for any downstream AI use case, reducing setup time by 86% via automated catalog mapping.

  2. Agentic Decisioning

    Applies next-best-offer and affinity models that have increased conversion rates by 37% and reduced cost per visit by 24% using AI audiences.

  3. Open Intelligence Layer

    Enables integration of any model or agent without black-box lock-in, allowing teams to manage by business goals rather than predefined processes.

  4. Zero Black-Box Lock-In

    Guarantees no vendor lock-in for any model or agent, providing full customer context portability across AI tools and platforms.

  5. Automated Catalog Mapping

    Uses AI to automatically map and structure raw data schemas, cutting manual setup effort by 86% as reported by ZeoAI.

  6. Next Best Offer Modeling

    Delivers personalized offers in real time, achieving a 37% lift in conversion rates for brands like Marktplaats.nl and Virgin.

  7. AI Audiences & Affinity Modeling

    Builds dynamic audience segments based on behavioral affinity, driving a 24% reduction in cost per visit for campaigns.

Strengths and trade-offs

Strengths

  • Automated catalog mapping reduces data setup time by 86%, accelerating time-to-value for new integrations.
  • Next-best-offer modeling has delivered a 37% increase in conversion rates for enterprise brands.
  • AI audiences and affinity modeling reduce cost per visit by 24%, improving campaign efficiency.
  • Won top-rated awards for Strategy and Innovation and Product Impact in the CDP category on SoftwareReviews in 2025 and 2026.

Trade-offs

  • Pricing is not publicly disclosed, making it difficult to compare total cost of ownership against competitors like ActionIQ or Amperity.
  • Heavy reliance on AI catalog mapping and agentic decisioning may require higher data maturity than traditional CDPs.
  • The zero black-box lock-in promise increases operational complexity for teams that must manage multiple models independently.
  • Proven results are documented primarily for large enterprise brands, with limited evidence of suitability for mid-market or smaller organizations.

Pricing context

Not publicly disclosed in the provided sources. Contact Zeotap for custom pricing based on data volume and feature requirements.

Getting started with ZeoAI

  1. Sign up for ZeoAI

    Visit the Zeotap website and request a demo or contact sales to begin the onboarding process. Provide your enterprise details and data volume estimates to receive a custom pricing quote and access credentials.

  2. Connect your data sources

    Use the platform's connectors to integrate raw customer data from your CRM, marketing automation, and sales systems. Configure the automated catalog mapping feature to structure and contextualize incoming data with minimal manual effort.

  3. Configure AI-Ready Data

    Define your customer data schemas and allow the AI catalog mapping to automatically transform raw data into structured assets. Verify the mapped fields and adjust any mappings to ensure accuracy for downstream use.

  4. Set up agentic decisioning

    Activate the next-best-offer and affinity models by selecting target segments and business goals. Configure AI audiences to deliver personalized offers in real time, and monitor conversion rates and cost per visit through the dashboard.

  5. Integrate downstream models

    Use the Open Intelligence Layer to connect any external AI model or agent without vendor lock-in. Define business goals for each model, and test the integration to ensure customer context flows seamlessly across all tools.

Frequently Asked Questions

What is ZeoAI and how does it work as a customer data platform?

ZeoAI is a customer data platform from Zeotap designed for enterprise brands. It unifies customer data and enables AI-driven decisioning across marketing, sales, and service. The platform operates on three layers: AI-Ready Data, Agentic Decisioning, and an Open Intelligence Layer.

What are the key features of ZeoAI CDP?

Key features include AI-Ready Data for automated catalog mapping, Agentic Decisioning for next-best-offer models, and an Open Intelligence Layer for integrating any model without lock-in. ZeoAI reports an 86% reduction in setup time and a 37% increase in conversion rates.

How does ZeoAI compare to competitors like ActionIQ or Amperity?

ZeoAI differentiates with its focus on agentic AI workflows and zero lock-in for models. Competitors like ActionIQ emphasize real-time orchestration, while Amperity focuses on identity resolution. ZeoAI has won awards for Strategy and Innovation and Product Impact on SoftwareReviews.

What is the pricing for ZeoAI and is it publicly available?

ZeoAI's pricing is not publicly disclosed. Organizations must contact Zeotap for custom pricing based on data volume and feature requirements. This lack of transparency makes it difficult to compare total cost of ownership against competitors like ActionIQ or Amperity.

What are the strengths and weaknesses of ZeoAI for enterprise brands?

Strengths include automated catalog mapping reducing setup time by 86% and next-best-offer models boosting conversion rates by 37%. Weaknesses include undisclosed pricing, higher data maturity requirements, and limited evidence of suitability for mid-market companies.

Is ZeoAI suitable for mid-market companies or only large enterprises?

ZeoAI is designed for large enterprise brands managing omnichannel customer interactions, with proven results for companies like Marktplaats.nl and Virgin. Its suitability for mid-market or smaller organizations is less documented, and the platform may require higher data maturity.

Alternatives

How ZeoAI compares

Direct head-to-head against 2 competitors. Picked by 7wData.

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ZeoAI

Pricing
Not publicly disclosed in the provided sources. Contact Zeotap for custom pricing based on data volume and feature requirements.
Target
ZeoAI is a customer data platform (CDP) marketed by Zeotap as 'the CDP for the agentic era.' It is designed for enterprise brands that need
Strength
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Watch for
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GPTZero

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Strength
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Sources

Reporting on this tool draws on these publicly available sources.

  1. zeotap.com
  2. zeotap.com
  3. www.softwarereviews.com
  4. www.gartner.com
  5. www.reddit.com