

Built just for marketing and digital teams.
Get immediate value with a directory of pre-built agents for common use cases. They know your brand inside and out and work around the clock, 24/7.

Audits webpages for LLM discoverability, retrievability, and understandability to deliver actionable recommendations to optimize content for generative search.

Surfaces clear insights on traffic, behavior, and conversions—spotlighting trends, anomalies, and growth opportunities without digging through GA4.

Accelerates the creation of high-quality blog content, including headlines, introductions, body paragraphs, and conclusions.

Maximizes content reuse, maintains brand voice, and improves engagement across diverse audiences and platforms.

Makes for more effective communication, true localization, and globalization with ultra-relevant content per language or target segment.

Speeds up the time-consuming process of building experimentation plans, which normally involves a lot of manual plan creation, difficulty defining impactful tests, and long test durations.
Opal agents connect to the tools you already use and run in autonomous workflows — so any use case goes from manual pain to efficiency gain.
Agents accelerate personalization through the creation of tailored marketing assets & digital initiatives.
Value: Improves engagement by 50%+, and cuts production time in half.
Agents automate compliance checks, eliminating manual and administrative burdens.
Value: Maintains brand and compliance integrity 24/7, minimizes errors, and saves hundreds of review hours.
Agents integrate with your systems to gather data, surface insights and help teams share findings.
Value: Frees up 3-5 FTE hours weekly per marketer; delivers insights in real-time to speed decision-making.
From content globalization to weekly status reporting, the possibilities are infinite.
Value: Endless workflows; endless outcomes.

Step 1
Deploy pre-built agents
Build custom agents (no code required)
Modify agents for your specific needs

Step 2
Leverage out-of-the-box tools or create your own
Pull in data from other platforms
Take action across your tech stack

Step 3
Chain multiple agents together for complex tasks
Schedule triggers for agents to work autonomously
Do it yourself (no developer needed)
Opal is market-leading in its functionality, heavily-enriched with various data sources and infinitely scalable (without the need for infinite tools).
Manually prompt and initiate agents with a single chat interface across all of Optimizely - no need to switch apps or workflows
Chain together multiple agents (sequential, parallel, loops and branching) to accomplish work, and trigger by chat, webhooks or pre-schedule
Configure and customize brand guidelines and agents for specific use cases without needing a developer
Equip agents with advanced capabilities that allow them to perform complex actions on your behalf
Purpose-built agents with user-selected inference, prompt templates and domain-specific knowledge
Opal uses a number of quality data sources to enrich output, including brand kits, logos, assets, customer-specific data as well as system knowledge of previously-run campaigns and experiments, unlike any other offering in the industry
Robust AI management features allow for granular access controls, strict permissions enforcement, comprehensive observability with audit trails, and configurable RAG settings for both Optimizely and customer-managed assets

Your data - including inputs, prompts, and output - is processed in-memory and not persistently stored in LLMs used by Optimizely.
Your data – including inputs, prompts, and output – is not used to train, develop, or improve LLMs used by Optimizely.
You retain ownership of all AI-generated output produced by Optimizely AI features and the associated LLMs. Output generated by AI should be considered as a tool to assist your decision-making process. It is essential to review and validate the information provided by Opal before implementing any recommendations.