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Optimizely

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Marketing agent orchestration (Opal) with 50+ prebuilt agents, a no-code builder, an SDK, and remote MCP connectors. Customers include Zoom and Canva.

Optimizely's Opal provides marketing agent orchestration with 50+ pre-built agents, a no-code builder, the Opal Tools SDK (Python/FastAPI), and remote MCP connectors, plus scheduled and event triggers, governance, execution logs, memory, and a code sandbox. Customers include Salesforce, Zoom, Canva, and Asana; it's quote-based as part of the Optimizely One DXP.

Vendor details

Canonical URL

https://optimizely.com

Category

GTM / revenue agent

Subcategory

Marketing — AI agent orchestration (Opal)

Use cases & customers

Primary use cases

marketing orchestrationexperimentationcontent management

Target customers

enterprisemarketing teams

Deployment options

SaaS

In practice

Your marketing team wants AI agents but doesn't want to build each from scratch. Optimizely's Opal ships more than 50 pre-built agents plus a no-code builder to start from.

Marketing agents that only run on command don't fit real campaigns. Opal supports scheduled and event triggers, so agents fire when something happens, not just when someone asks.

Developers need to extend agents with custom tools. Opal's Tools SDK in Python and FastAPI, plus remote MCP connectors, lets engineers add their own capabilities.

Agentic Index coverage score

9.5 / 14 capabilities · 68%

Integrations & Tool CallingOpal is documented as powered by hundreds of tools, agents work natively across CMS, CMP and Experimentation, users connect data from their existing tools and layer in custom instructions and tools, and named external analysis includes pulling web performance from Google Analytics; Optimizely states Opal extends agent orchestration beyond the platform itself, Optimizely Opal support documentation and orchestration release 2026-07-30 Full
Workflow OrchestrationOpal is positioned as the agent orchestration layer of Optimizely One, with a drag and drop interface for orchestrating multi agent workflows that connect to existing data and tools; vendor reported platform data from May 2026 states nearly 1,700 companies have built over 4,000 agents run more than 172,000 times, with 32% of runs involving agents completing MULTI STEP TASKS through to completion rather than accelerating single steps, Optimizely Opal orchestration release 2025-09-10 and agentic momentum release 2026-05-20 Full
Knowledge Grounding & RAGBefore every model interaction the platform runs a documented MULTI STEP ENRICHMENT PIPELINE that loads contextual information, and instructions are layered at instance level for organisation wide brand voice and guidelines and at personal level per user, so agents are described as fully aware of brand context rather than grounded ad hoc; agents also ground on CMS and DAM content across the suite, Optimizely Opal architecture walkthrough on world.optimizely.com 2026-03-06 Full
Human Oversight & GuardrailsGovernance is layered: instance level instructions set organisation wide brand and communication guidelines, ROLE BASED PERMISSIONS CONTROL WHO CAN MODIFY THOSE INSTRUCTIONS, administrators can disable all Opal and generative AI features tenant wide from Admin Center, and compliance checking agents review copy for legal and compliance issues before publication; Optimizely's own event material acknowledges models can drift on complex research and that human supervision remains essential, Optimizely Opal support documentation and architecture walkthrough 2026-07-30 Full
Security, Identity & GovernanceISO 27001:2022, ISO 27017:2015, ISO 27018:2019, SOC 2 Type 2, PCI DSS v4.0.1 and TISAX, with reports available on request, plus EU US Data Privacy Framework certification and a documented HIPAA ready CMS variant with BAA. Governance is structural: a Trust Team with a Compliance Manager and Director of Security Engineering reporting to a CISO, overseen by a Security Governance Board of senior executives, running periodic risk assessments on an ISO 27005:2018 methodology. Authentication is required on all application entry points including API, employee access is least privilege through feature limited portals with MFA and is logged, Optimizely Trust Center compliance and security pages plus DXP platform security documentation 2026-07-30 Full
Observability & AuditabilityEmployee access to customer applications is logged and platform level agent run volume is measured and reported, but no per agent decision trace, reasoning log or configuration audit trail exposed to the customer was documented on the pages reviewed, Optimizely Opal and platform security documentation 2026-07-30 Partial
Memory & State PersistenceInstance level and personal instructions persist across sessions and shape every agent interaction, which is durable configuration state, but no agent memory store or cross run context retention was documented on the pages reviewed, Optimizely Opal documentation 2026-07-30 Partial
Deployment & Data ResidencyThe platform runs on Microsoft Azure data centres certified to 90 plus compliance standards, and independent analysis reports data residency options with EU hosting and geo fenced support access, but the specific region selection mechanism and the list of available regions were NOT retrieved from first party sources; re verification target, Optimizely DXP platform security documentation and independent platform analysis 2026-07-30 Partial
Prebuilt Agents, Templates & PacksA library of dozens of ready to use specialised agents ships for immediate deployment, surfaced through an agent directory covering task specific roles including compliance, copywriting and personalisation, alongside content drafting and scheduling, legal and compliance review, competitive research and web performance analysis, Optimizely Opal orchestration release 2025-09-10 Full
Triggers & Channel CoverageAgents run inside the Optimizely One product surfaces and are invoked from the Opal interface and from orchestrated workflows, with content scheduling among the documented agent tasks, but no event trigger framework, scheduling engine or external channel coverage was documented on the pages reviewed; this is a marketing operations surface rather than a conversational channel platform, Optimizely Opal documentation 2026-07-30 Partial
Model Flexibility & RoutingOpal is documented as powered by large language models and administrators can disable generative AI features tenant wide, but no model selection, routing or bring your own model capability was documented, and the underlying providers are not named on the pages reviewed, Optimizely Opal documentation 2026-07-30 Unable to verify
APIs, SDKs & MCP ExtensibilityOptimizely ships a documented EXPERIMENTATION MCP SERVER that authenticates through the customer's Opal instance and exposes linked experimentation data to any AI client supporting remote MCP, alongside a full developer documentation site at docs.developers.optimizely.com, authenticated web and API entry points, SDKs, and the ability for customers to build their own agents and layer in custom tools, Optimizely MCP server documentation 2026-05-15 and developer documentation 2026-07-30 Full
Testing, Debugging & OptimizationNotable gap for an experimentation company: agents operate across Optimizely Experimentation and can run and conclude tests on digital experiences, but that engine tests the EXPERIENCES, not the agents, and no agent level test environment, simulation harness or scored evaluation of agent behaviour before release was documented on the pages reviewed, Optimizely Opal and Experimentation documentation 2026-07-30 Partial
Browser & Computer UseNo browser control or computer use capability documented; agents act through connected tools, the MCP server and native product integrations rather than by operating a browser or a human interface, Optimizely Opal documentation 2026-07-30 Unable to verify

The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Recent platform changes

2026-07-24·Agent capabilityPartially Verified

Optimizely updated its Opal AI platform, introducing Agent Builder and Skill Builder for configuring agents directly within chat. The release also includes nested workflows for multi-step automations, new remote MCP connectors for HubSpot, ZoomInfo, Gmail, and Google Search Console, as well as Safe URL Browsing powered by Google Web Risk.

Bears on: Agent capability

View source
2026-06-30·Agent capabilityVerified

Optimizely's June 30 Opal release introduced the Opal Agent Library with 45+ prebuilt marketing agents, a reporting dashboard for tracking agent activity and outcomes, and multi-model support for routing work across different LLMs.

Bears on: Agent capability

View source
View all 2 changes for Optimizely →Tracked since Jun 2026 · Verified from public vendor sources

Pricing

Contact sales

flat

What is public

Optimizely (optimizely.com - digital experience platform 'Optimizely One': experimentation/A-B testing, CMS, content marketing/CMP, personalization, commerce, analytics, plus AI agents/'Opal') is enterprise/quote-based - no public price tiers.

Billing mechanics

Enterprise SaaS subscription (sales-led, quote-based; modular across the Optimizely One suite, scoped by products/traffic/usage); not publicly itemized. No public figures.

Cost watchouts

Modular DXP - cost depends on which products (experimentation, CMS, CMP, commerce, personalization) you license; implementation/integration; traffic/usage-based scaling on some modules.

Additional watchouts

Custom enterprise pricing only (no public tiers); modular - total depends on product mix + usage.

Sales call required

Yes, required for paid access

Commercial notes

Established DXP / experimentation vendor (Optimizely One); competes with Adobe Experience Cloud, Sitecore, Contentful, VWO, AB Tasty, LaunchDarkly (flags)

Key ambiguities

No public figures; pricing scoped per product mix + usage across the Optimizely One suite.

Support SLA / resale

Enterprise support + partner ecosystem; modular DXP suite (experimentation, CMS, CMP, commerce, personalization)

Agentic Index verified 2026-06-25

Alternatives to Optimizely

The closest documented capability profiles to Optimizely among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

  • Amplemarket10.0 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Gainsight10.5 / 14Fuller documented coverage on Memory & State Persistence and Triggers & Channel Coverage
  • Kana8.5 / 14A lighter documented profile than Optimizely
  • Reply Jason AI9.5 / 14Fuller documented coverage on Triggers & Channel Coverage
  • AiSDR9.0 / 14Fuller documented coverage on Triggers & Channel Coverage
  • Demandbase9.0 / 14Fuller documented coverage on Triggers & Channel Coverage

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Head to head

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