Optimizely Opal credits
Important
Effective March 12th, 2026 Optimizely may allocate Opal workloads to any of its approved LLM models. Currently, Optimizely's Opal uses Google Gemini's family of models as its LLM.
As of March 15th, 2026, Opal's LLM models will include Anthropic Claude's family of models accessed via Google Vertex AI. For the purposes of Optimizely's Data Processor Agreement, Anthropic will become an Optimizely Sub-processor as from March 15, 2026. Optimizely reserves the right to add, remove, and/or substitute Opal's underlying LLMs. All approved LLMs for Opal are detailed in Optimizely's Software Service Services Description. Optimizely Opal's allocation of workloads to different LLMs and the associated model will not alter how Opal credits are consumed from Opal usage.
Optimizely Opal credits are required to use Optimizely Opal.
Important
- Effective 3/1/2026, an adjustment to the credit value model will be applied to all customers with Opal credits. The update ensures that credits utilized through Opal interactions fall into a fixed number of categories for greater predictability and forecasting of credit use by customers.
- Effective 10/15/2025, an update to credit value is reflected in the Do you have examples of Opal credits per task? section.
- Effective 9/30/2025, all promotional credits available within customers' instances reset to zero.
- Effective 10/1/2025 and ending on 12/31/2026, each instance of Opal is able to utilize up to 200 credits monthly on a complimentary basis.
- If your usage regularly exceeds your complimentary 200 monthly credits, your Optimizely account team may reach out to explore a more tailored Opal plan. Optimizely reserves the right to modify or discontinue complimentary access at any time.
- If you have questions about your usage, credit allocation, or would like to explore how to get the most out of Optimizely Opal, contact your Optimizely Customer Success Manager.
See the following FAQ for details on Opal credits.
What are Opal credits?
Opal credits let you use Optimizely Opal. Credits are used any time you interact with Optimizely Opal. An interaction is when an Opal feature makes an API call to an AI model, such as a large language model (LLM).
Are Opal credits pooled across products?
Optimizely Opal credits are pooled across products, making them consumable across all eligible Optimizely products.
How do I get Opal credits?
Optimizely Opal credits are allocated. Contact your account administrator or Optimizely account representative.
Where can I view and track my Optimizely Opal credit usage?
Account administrators can view their organization’s Optimizely Opal credit usage in the Usage and billing dashboardsUsage and billing dashboards in the Opti ID Admin Center.
Can I be notified of my Opal credit usage?
Yes, account administrators can sign up for monthly credit usage notifications in the Usage and billing dashboardsUsage and billing dashboards in the Opti ID Admin Center.
What happens if I use all my Opal credits?
Account administrators are notified when their organization reaches its credit limit.
Do you have examples of Opal credits per task?
Note
Credits depend on the complexity of the work the agent performs. The following figures represent the average credit consumption and may vary based on input size, context, and model usage.
Each agent is assigned a complexity band that reflects the average number of credits it consumes per invocation. Use the following table as a reference when estimating credit usage across your workflows.
Average credit consumption by agent complexity – The following figures represent the average number of credits consumed for a single agent invocation categorized by the agent's complexity band:
- Chat and basic agents – 2
- XS – 10
- S – 30
- M – 70
- L – 130
- XL – 200
Average credits by agent – The following figures represent the average number of credits consumed when calling each Agents in the Agent Directory once:
Agent | Description | Average credits |
|---|---|---|
Creates high-quality, on-format campaign briefs to accelerate planning and improve brief consistency. | 2 | |
Summarizes lengthy documents and PDFs, extracting key points from complex content. | 2 | |
Creates high-performing marketing emails based on a provided overview, target audience, and call-to-action. | 2 | |
Crafts engaging headlines, body text, and calls-to-action optimized for LinkedIn's professional audience and B2B outreach. | 2 | |
Writes a compelling and newsworthy press release from a brief or set of key facts. | 2 | |
Creates QR codes for use in marketing materials, campaigns, and digital assets. | 2 | |
Takes a source document or text and extracts the most important and relevant quotes. | 2 | |
Converts existing content to a different language, accounting for cultural, company, and grammatical differences. | 2 | |
Simplifies the creation of UTM parameters to ensure accurate attribution tracking and cleaner campaign analysis. | 2 | |
Generates personalized email copy for post-webinar follow-ups to attendees. | 2 | |
Provides a thorough review of competitive intelligence and market research on competitors, focusing on data from the past seven days. | 10 | |
Generates 10 content and campaign ideas for any topic, audience, or quarter by combining live web research with competitor gap analysis and seasonal opportunity mapping. | 10 | |
Evaluates any piece of web content against Google's E-E-A-T quality signals, rating experience, expertise, authoritativeness, and trustworthiness with concrete evidence pulled directly from the content. | 10 | |
Retrieves and translates the full content of a specific email in Optimizely Campaign, ensuring accuracy, cultural relevance, and consistent brand voice. | 10 | |
Transforms raw ideas into a fully formed test plan, complete with suggested hypotheses, key metrics, identified risks, and critical assumptions. | 10 | |
Transforms a heatmap image and URL into precise, tailored test ideas to help identify high-impact optimization opportunities. | 10 | |
Researches keywords for a given topic to maximize content visibility and search traffic rankings. | 10 | |
Drafts email body copy based on a topic, target audience, and preferred brand voice. | 10 | |
Audits your website in Content Management System (SaaS). The agent finds outdated content, reviews it against compliance guidelines, and reports what needs attention to improve Search Engine Optimization (SEO) and site credibility. | 10–20 | |
Brainstorms five to seven newsletter themes and content angles tailored to a business niche and current goals. | 15 | |
Generates platform-ready social media images from a text prompt or reference image at exact dimensions for each supported format. | 15 | |
Analyzes newsletter content in Optimizely Campaign and delivers structured feedback with recommendations for improvement. | 20 | |
Generates paired subject lines and preview texts for specific psychological triggers. | 20 | |
Takes meeting notes, a summary, or a transcript and produces a structured follow-up email with decisions, action items, and next steps. | 20 | |
Scores each idea in your experimentation backlog using the Potential, Importance, Ease (PIE) framework and generates a prioritized report with recommended experiments and the reasoning behind every score. | 20–30 | |
Analyzes an Agent Visibility Analytics dashboard in Optimizely Analytics. The agent surfaces trends, anomalies, and insights from your dashboard data and delivers a report. | 30 | |
Runs a Google Lighthouse audit for your page and a competitor's, then delivers a side-by-side gap analysis with prioritized recommendations. | 30 | |
Helps you repurpose core content by reformatting, rephrasing, and optimizing it for specific platforms such as social media, email, or web pages. | 30 | |
Analyzes experimentation performance within a specified timeframe to generate a comprehensive overview of program velocity, win rate, and top-performing experiments. | 30 | |
Provides insights into Google Analytics data, covering key metrics, traffic sources, and top-performing pages in an executive-ready format. | 30 | |
Removes overlaid text from an uploaded image and fills the cleared area with the surrounding background. | 30 | |
Synthesizes an agenda, prior notes, project context, attendees, and an optional URL into a scannable one-page meeting brief. | 30 | |
Performs a full conversion audit on any live page, returning a prioritized list of fixes ordered by expected conversion impact. | 30 | |
Analyzes your live page copy, then generates versions optimized for clarity, conversion, and message-market fit. | 30 | |
Runs a full Google Lighthouse audit across Performance, SEO, Accessibility, and Best Practices on any live URL. | 30 | |
Transforms a topic, goal, or raw content into a structured, slide-by-slide presentation outline. | 30 | |
Creates, updates, and troubleshoots Optimizely Data Platform (ODP) real-time audiencesOptimizely Data Platform (ODP) real-time audiences. It answers expert questions about audience purpose, overlap, and Real-Time Segment (RTS) expressions. | 30 | |
Checks a URL against WCAG 2.2 accessibility standards and Google Lighthouse, generating a report with scores and actionable recommendations. | 30 | |
Turns a webinar topic and optional notes into a structured outline with timed sections, speaker talking points, engagement moments, and pre-webinar and post-webinar checklists. | 30 | |
Generates a stakeholder-ready report with the projected annualized impact of rolling out a winning experiment variation. | 30–40 | |
Builds a content model for Optimizely Content Management System (CMS) SaaS or version 13 from a URL or an image. | 30–80 | |
Turns meeting notes or a transcript into a one-page summary with key decisions, action items by owner, and a parking lot. | 35 | |
Audits up to 20 images on a page URL, scores existing alt text against Web Content Accessibility Guidelines (WCAG) 2.1 AA standards, and delivers ready-to-use alt text copy with a prioritized fix list. | 40 | |
Resizes and reformats uploaded images to exact pixel dimensions for marketing channels. | 40 | |
Builds and configures product promotions for Optimizely Commerce Connect from a natural-language prompt. The agent assigns products and variants and applies the promotion types you describe. | 40 | |
Analyzes page content and generates or refines JSON-LD schema markup directly within Optimizely Content Management System (CMS) SaaS or version 13 to improve search engine comprehension and AI search visibility. | 40–60 | |
Generates structured LinkedIn Sponsored Content ad briefs with copy variants validated against LinkedIn character limits. | 50 | |
Analyzes email content from Optimizely Campaign and generates three pairs of subject lines and preview texts, each focused on urgency, curiosity, or benefit. | 50 | |
Analyzes a webpage's SEO metadata, identifies optimization opportunities, and delivers prioritized recommendations for meta titles, descriptions, and OpenGraph tags. | 50-100 | |
Accelerates the creation of high-quality blog content, including headlines, introductions, body paragraphs, and conclusions. | 70 | |
Scans competitor websites, captures screenshots, and delivers an actionable report with recommended changes to help you stay ahead. | 70 | |
Ensures the test you want to launch does not conflict with any live experiments. | 70 | |
Audits any web page for AI search readiness, providing prioritized recommendations for improving visibility in AI-powered search engines. | 70 | |
Audits webpages for LLM discoverability, retrievability, and understandability to deliver actionable recommendations for generative search optimization. | 70 | |
Researches trending angles, competitive context, and hashtags for any campaign topic, then packages findings into a structured brief ready to hand off for social post creation. | 70 | |
Takes a topic, URL, or key message and generates platform-native social posts for LinkedIn, X, Instagram, Facebook, and TikTok. | 70 | |
Builds and troubleshoots standard Optimizely Data Platform (ODP) audiences Optimizely Data Platform (ODP) audiences through natural language. | 70 | |
Analyzes and compares email campaign performance in Optimizely Campaign using key performance indicators (KPIs) to identify success factors and performance differences. | 80 | |
Analyzes AI citation performance for any topic using Profound's visibility data. | 90 | |
Creates product restriction groups in Optimizely Configured Commerce through a step-by-step wizard. | 97 | |
Generates a publication-ready B2B SaaS case study from a company name and background material. | 100 | |
Analyzes Optimizely Content Management System (CMS) SaaS or version 13 webpages and generates optimized SEO metadata, including meta titles, descriptions, and OpenGraph tags, and applies updates directly in CMS SaaS or version 13. | 120–200 | |
Takes a campaign description, asset type, and key message and generates a complete, structured creative brief covering strategy, audience, messaging, and visual requirements, ready to hand off to a creative team or agency. | 130 | |
Analyzes existing content to generate contextually relevant, GEO-optimized FAQs, helping you quickly build or update your FAQ section. | 130 | |
Improves content search engine rankings and organic visibility by analyzing target keywords and competitor content to identify SEO opportunities. | 130 | |
Generates a prioritized package of experiment ideas for any page. | 130–180 | |
Analyzes provided email content from Optimizely Campaign to suggest accessible alt-text and titles for the images included. The agent helps ensures your content is user-friendly and compliant. | 150 | |
Generates a portable SKILL.md file to implement an Optimizely Feature Experimentation flag in a codebase. | 150 | |
Compares your brand against tracked competitors across ChatGPT, Gemini, and Perplexity. Share of voice measures how often AI engines mention your brand compared to competitors. The agent runs in Optimizely Opal and uses Conductor Intelligence data. | 170 | |
Summarizes your brand's AI search performance across share of voice, sentiment, and rankings, then delivers three concrete suggestions to improve your position. The agent runs in Optimizely Opal and uses Conductor Intelligence data. | 170 | |
Analyzes an Optimizely Feature Experimentation project and generates a read-only HTML governance report on a canvas. | 175 | |
Identifies high-priority Answer Engine Optimization (AEO) content gaps by analyzing your website against tracked competitors using Conductor Intelligence data. | 180–200 | |
Analyzes Optimizely Web Experimentation or Optimizely Feature Experimentation projects and routes to the correct interactive dashboard for each program type. | 190 |
The following figures represent the average number of credits consumed when calling the AI variation development agent in Web ExperimentationWeb Experimentation and PersonalizationPersonalization for different use cases:
- Add a pop up modal to sign up to become a member – 30
- Add a promotional banner at the top that includes a coupon code that can be copied – 30
- Update the navigation bar so each button has a spacing of 12px – 70
- Update the menu to be more visually appealing with a goal to increase clicks – 70
- Add an enlargement effect to the product catalog items upon hover – 70
- Add a 24 hour countdown timer below the banner – 70
- Add a modal on the favorite icon displaying a message for visitors to add to the list of favorites – 70
- Introduce a "Why Buy From Us?" section highlighting unique selling propositions – 130
- Add an add-to-cart button on every product catalog – 130
- Make the navigation bar sticky so it persists even when I scroll down – 130
- Rearrange the menu and move the "Sale" button as the first item – 130
- Redesign the page with a more modern and visually driven layout that increases user engagement and conversion rates – 130
Important
Credit consumption is dependent on your webpage structure and scope of changes applied.
How are credits calculated for workflow agents?
When a workflow agent runs, credits are calculated by summing the cost of each specialized agent invoked within that workflow. There is no additional overhead charge for the workflow itself. For more information, see Workflow agents overview.
Can I limit Opal access and credits to individual users?
Only users who have access to Opal can consume credits, so you control credit usage by controlling who has access. However, Optimizely does not support assigning user-level credit limits.
In the Opti ID Admin Center, you can grant or remove Opal access for each user in your account. Users without access cannot use Opal and do not consume any credits. For more information, see Roles and permissionsRoles and permissions.
Who uses credits when calling agents?
Who is attributed for using Opal credits differs depending on how and what type of agent is invoked.
Specialized agents
Triggers
- Chat – User who invokes the specialized agent by entering @AGENT_NAME in the chat.
- Within Optimizely – User who invokes the specialized agent.
Workflow agents
See Workflow agents overview.
Triggers
- Chat – User who invokes the agent by entering @AGENT_NAME in the chat.
- Schedule – User who created the trigger.
- Webhook – User who created the trigger.
- Email – User who created the trigger.
Note
If you use Opti ID, administrators can turn off generative AI in the Opti ID Admin Center. See Turn generative AI off across Optimizely applicationsTurn generative AI off across Optimizely applications.