AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Mar 27, 2026·Updated Sep 10, 2026
Independently verified against live vendor data on Sep 29, 2026.

Enterprise digital experience platform with Opal AI agents and a remote Experimentation MCP server, spanning CMS, experimentation, personalization and commerce. Custom pricing via sales.

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

2/5

Evidence

5/5

Setup

1/5

The facts

Pricing

Custom

GitHub

—

Stars

G2

4.2 / 5

414 reviews ↗

MCP

Server + client

Server + client

Reviews

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Optimizely AI covers the AI capabilities across the Optimizely digital experience platform, which combines content management, content marketing, experimentation, personalization, analytics and commerce. Optimizely was founded in 2010 as an experimentation company. Its plans page groups the platform into three pillars: Agentic CMS, Agentic Experimentation and Agent Platform, with Content Marketing Platform, Analytics, Personalization, Commerce, Asset Management, Data Platform and Feature Management alongside. Opal, launched in May 2025, is the agent orchestration layer across Optimizely One. The Agent Platform offers out-of-the-box agents, a no-code agent workflow builder, pre-built tools to connect an existing stack, and built-in evals and governance for AI output. Opal can also add remote MCP providers as tools, with vendor-documented connectors for services such as Zapier, Contentful and 6sense. Analytics works directly on the customer's data warehouse, following the NetSpring acquisition in late 2024. The Optimizely Experimentation MCP server is a hosted remote server for Web Experimentation, Feature Experimentation and Personalization. It needs an Opti ID and an Optimizely account with Opal enabled and connected to an experimentation instance. Its tools query projects, flags, experiments and results, create and update flags, experiments and audiences, and search Feature Experimentation SDK documentation to generate integration code, from clients such as Claude, Cursor, Codex and VS Code with Copilot. Variation-level code changes in Web Experimentation are not supported through MCP. Pricing is not published. The plans page states that every Optimizely plan is individually packaged and offers a demo request, with no tier names, prices or self-serve signup. Deployment is sales-led. Optimizely suits enterprise digital teams that want content, experimentation, personalization and commerce on one platform with AI agents across it. Teams that need a headless CMS on its own should consider Sanity. Teams that need AI content generation without a digital experience platform should consider Jasper. Current state Q3 2026: Optimizely was named a Leader in the 2026 Gartner Magic Quadrant for Personalization Engines, for the second consecutive year. Its trust center lists ISO 27001, ISO 27017, ISO 27018 and SOC 2 Type 2 across core products, PCI DSS for experimentation and commerce, and TISAX for Campaign, and it signs HIPAA Business Associate Agreements with enterprise customers for CMS and experimentation. Its AI Supplement (September 2026) states that Customer Data will not be used to train Gen-AI features or LLMs or incorporated into ML training datasets, while Optimizely may use aggregated data to improve ML features. Not affiliated.

Pricing

custom

Segment

enterprise

Setup

complex

Verified

Sep 29, 2026

Transparency

Quote Only

Contract

Annual Only

Data training

Not Trained

Human in loop

Optional

Capabilities

personalizationdata-analysiscampaign-automationreporting

Pros & Limitations

Editorial assessment

Pros

  • ✓Content management, experimentation, personalization, analytics and commerce on one platform, with Opal agents and a no-code agent builder across it.
  • ✓A hosted Experimentation MCP server lets AI clients query results and create flags, experiments and audiences, and Opal can call remote MCP tools.
  • ✓Trust center lists ISO 27001, ISO 27017, ISO 27018, SOC 2 Type 2 and PCI DSS, with HIPAA BAAs for CMS and experimentation.

Limitations

  • –No published prices, tiers or self-serve signup, and every plan is individually packaged through sales.
  • –The Experimentation MCP server requires Opal to be enabled on the account, and Web Experimentation variation code cannot be changed through it.
  • –Certifications vary by product, and HIPAA BAAs cover only CMS and experimentation for enterprise customers.

Technical Details

Deployment
cloud
Model architectureProprietary
Autonomous rateConfigurable: Opal agents and multi-agent workflows run on schedules or triggers with evals and governance, and MCP-driven changes to live experiments are confirmed by the user before they are committed. No autonomy percentage is published.
Integrations
SalesforceGoogle AnalyticsSegmentHubSpot
Security
SOC 2 Type IIISO 27001GDPRCCPAHIPAAPCI DSS

Similar agents

Rating

4.3/ 5
★★★★★

Editorial score

How we score this →

Recognition

MCP Server VerifiedListed 2026
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Industries

Ecommerce

Built for

EnterpriseB2B

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