Phrasee

Phrasee, which rebranded as Jacquard in June 2024, is an enterprise AI platform for generating, predicting, optimizing, and personalizing marketing language across digital customer communications. It combines large-scale content generation with performance prediction, experimentation, 1:1 contextual messaging, and brand governance.

1. Content generation: Marketers create on-brand variants from a structured campaign brief for channels including email, SMS, mobile push, in-app messaging, and web push. Jacquard’s Language² generation engine combines probabilistic AI generation with deterministic rules and filters for brand tone, required language, and compliance.
2. Performance optimization: Audience-Wide Optimization runs A/B/n experiments in which AI-generated variants compete against existing content. A multi-armed-bandit-based system adapts distribution according to campaign results, while Jacquard’s Neural² prediction technology uses historical campaign data to estimate which language is most likely to perform before deployment.
3. Personalization: Contextual Messaging moves beyond static audience segments by combining customer profiles with product and contextual information to generate and select messaging for individual recipients. Jacquard can use attributes such as interests, behavior, location, engagement history, and product information to support 1:1 personalization at scale.
4. Enterprise governance: Brand Voice settings, deterministic content rules, role-based permissions, SSO, and built-in approval workflows help organizations control generated messaging before deployment. Jacquard also supports multilingual content generation across 27+ languages and dialects for international campaigns.

Jacquard is most relevant to enterprise CRM and lifecycle-marketing teams producing large volumes of customer communications across multiple channels. Its value depends on campaign scale, available customer and performance data, integration fit, and whether systematic generation, experimentation, prediction, and 1:1 personalization can improve messaging performance within an existing marketing stack.