Simon AI Agents
Say hello to your new data and execution team
Set a goal and let agents handle the hard work. They surface signals, build audiences, launch campaigns, and optimize performance directly from your data cloud.
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Insights agents
Data agents
Optimization agents
Automation agents
Most CDPs promised personalization but left marketers waiting on data teams to write SQL queries, build attributes, and configure segments while opportunities passed. Marketing teams also lack the bandwidth for the heavy execution work 1:1 personalization demands.
Composable Simon AI Agents operating with the AI-first composable CDP in your data cloud change that. They act as a marketer’s data and execution team, handling complex data exploration, prep, and orchestration. Marketers move independently of data team and engineering backlogs, launch more campaigns faster, and improve conversion at a scale traditional systems can’t match.
Transform your marketing workflow
Personalize at a massive scale
Eliminate slow steps and launch micro-campaigns at a high volume.
Campaign launched
Stay relevant in the moment
Act continuously on new signals like events, sentiment, weather, and product signals.
Retail media engagement
+95%
Enthusiasm in support chat
Operate with governance intact
It happens entirely in your cloud. No data movement.
“We can use AI to improve our user experience and increase our buyer conversion, as well as make our artists happier and earn them more money. It brings us closer to the goal that we've always had in lifecycle marketing of highly personalized one-to-one marketing. The AI engine can help us better define smaller, more successful campaigns rapidly, and that is something that we don't have the team bandwidth and resourcing to do successfully. We need the help of machines in AI to actually do it.”
Want to see Simon AI in action?
Schedule a custom demo to learn more. See how Simon AI turns your goals into personalized campaigns that convert.
Frequently Asked Questions
What are Simon AI Agents?
Simon AI Agents are modular, goal-driven, composable AI components. They run natively in the user's data cloud to surface insights, prepare data attributes, launch campaigns, and optimize outcomes without requiring additional engineering work.
What is a Composable AI Agent and how is it different from traditional AI tools?
Simon AI Agents are composable, meaning they run as modular AI components within your data cloud. They avoid external data movement, expose their logic, and can be combined into workflows. Unlike black-box AI, they operate transparently within your existing infrastructure, reuse each other’s outputs, and align directly to marketing goals.
How do Simon AI Agents collaborate?
Simon AI Agents each have a specific role and interact with each other's outputs. The workflow is continuous, adapting post-launch.
What are Insights Agents?
Insights Agents analyze campaign goals, past performance, and business context—such as reviews, product catalogs, or third-party signals—to produce a campaign specification. This specification defines fields, personalization options, audiences, and Moments that guide Data, Optimization, and Automation Agents.
What are Data Agents?
Data Agents process raw inputs such as customer data, product catalogs, reviews, chat logs and real-world, third-party signals into structured attributes known as AI Fields and Moments for marketing use.
What are Optimization Agents?
Optimization Agents forecast campaign outcomes, score audiences, and enforce performance guardrails. They continue to monitor and adjust targeting after launch to improve results.
What are Automation Agents?
Automation Agents construct campaigns, manage cadence and timing, and distribute messages across channels in your engagement platforms, enabling end-to-end execution from planning to delivery.
Do users need to be data scientists or engineers to use Simon AI Agents?
No. Marketers define campaign goals and review AI-generated recommendations. Simon AI Agents automate data preparation, analysis, and execution. Data teams focus on governance and strategy rather than campaign operations.
Do engineering teams need to program Simon AI Agents?
No. Agents use the existing governance and infrastructure in your data cloud. Engineers can focus on model management, data validation, and integrations.
Are there more Simon AI Agents that perform more specific tasks?
Simon AI is building around four types of agents (Insights, Data, Optimization, and Automation), but there are numerous agents that have specialized capabilities: Domain Expert Agents. For example, Data Agents that handle specific data types such as weather, product catalogs, or social trends. They enhance the accuracy of AI Fields and Moments to produce more precise marketing signals.