An enterprise-grade platform for creating, managing and scaling autonomous AI agents. Built on governance and reliability frameworks you can trust.
Trusted by 10,000+ brands
Why marketers choose Optimizely
Knowledge and context
- Outputs are only as good as the context agents are given to work from. Our enrichment layer gives agents structured access to org-wide and personal skills (brand guidelines, compliance rules, tone standards), product connections across Optimizely's suite, and a retrieval gateway that surfaces relevant org data at runtime.
- Persistent memory allows agents to continuously reference preferences and learn from past interactions.
- Context compounds over time, improving Chat and agent output the more your team uses them.
- Multi-model by design, each task is matched to the model that fits it and auto-optimzies as work runs. Quality goes up and token spend goes down. Custom model support is coming soon.
Agents and workflow orchestration
- Start with 50+ pre-built agents built and tested for marketing and digital use cases or build your own in plain language.`
- Build agent workflows by chaining agents together with drag-and-drop logic (no code required). Set triggers on schedules, events, webhooks, or signals from your existing stack — then let them run autonomously.
- Workflow agents support conditional logic: loops, branching, and sequential execution. Each run gets a unique Execution ID for tracking, debugging, and audit reference.
Stack-wide connections
- Connect agents to your existing marketing stack through connectors and remote MCP integrations. Your existing tools become structured data sources agents can reason over and act on.
- Native connections across analytics, CRM, content, automation, design, and advertising platforms — including Salesforce, Google Analytics 4, Figma, Atlassian, and more.
- For teams working across vendor ecosystems, we support Agent-to-Agent (A2A) protocol, enabling Optimizely’s agents to exchange structured messages with agents from other vendors and frameworks without bespoke integration work. Available today in Google Gemini Enterprise and Microsoft Copilot.
- For custom integrations, the Opal SDK is available in Python, JavaScript/TypeScript, and C# — letting engineering teams build and register custom tools that agents can call within the same execution environment.
How it works
Prompted by chat, timeline, or alternative trigger
Aggregates context from numerous sources for enrichment
Pulls from a rich library of tools (both pre-built and custom)
Sends prompt and context to LLM to generate response
Provides generated response or agent takes action on a user's behalf
Agents you canrely on
Autonomous agents fail in predictable ways: bad context, vague instructions, missing tools, no feedback loop. Our Agent Reliability Framework addresses all of them, from design to post-execution.
Enterprise-grade security and controls
Role-based access
Every URL is screened before browsing it in Chat, protecting your organization from malware, phishing, and unwanted software. Standard protection (powered by Google Web Risk) is always on, with an optional Advanced mode (Cloudflare Radar deep scan) that admins can enable for even deeper threat detection.
Model configuration
Set a default LLM at the instance level for org-wide standardization, or override at the agent level. Teams with existing model commitments or governance policies can enforce a single approved model across all agents.
Observability
Every agent run generates a unique Execution ID for tracking, retrieval, and audit reference. Execution guardrails surface warnings and failures in real time. Agent watchers receive in-app and email notifications on agent modification, scheduled run failures, and guardrail events. Full execution traces are available for debugging and support escalation.
Safety
Every URL is screened before browsing it in Chat, protecting your organization from malware, phishing, and unwanted software. Standard protection (powered by Google Web Risk) is always on, with an optional Advanced mode (Cloudflare Radar deep scan) that admins can enable for even deeper threat detection.
Why Optimizely
Tech stacks are becoming more complex. Optimizely is a single platform for agent execution and digital orchestration, bridging the gap between foundational LLMs and customer channels, with marketing expertise at the core.
What customers are building agents for
Content creation at scale
Create personalized content for any channel, at scale.
Continuous compliance
Ensure new and existing content adheres to brand and legal guidelines, automatically.
Automated reporting
Pull in data from any platform to analyze and save hours on manual reporting.