Agents in the Agent Directory

Optimizely Opal works automatically to help you improve and streamline your workflows. Agents enhance these core capabilities by handling specialized tasks like summarizing content, generating marketing emails, and analyzing data.

These agents are available in every Opal instance. Click an agent's name to see what it does, when to use it, and how to configure it for your needs. You cannot update the ID of agents in the Agent Directory.

See Optimizely Academy's videos on Meet the Agents to learn more about the agents.

Brainstorm and plan

• Description – Generates a standardized campaign brief from the inputs you provide.
• Challenge – Manual brief creation slows campaign planning and produces inconsistent briefs.
• Value – Faster planning, consistent briefs, and less manual rework.

• Description – 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.
• Challenge – Competitive AI search performance is invisible. Marketing and Search Engine Optimization (SEO) teams cannot tell whether they are gaining or losing ground against competitors.
• Value – Competitive AI share of voice in one run, without pulling data from multiple sources.

• Description – Generates 10 content and campaign ideas for a topic, audience, or quarter. The agent combines live trend research and competitor intelligence.
• Challenge – Generating content ideas that align with business goals, audience interests, and keyword opportunities is slow. Manual brainstorming cannot sustain a steady pipeline of differentiated ideas.
• Value – A fuller content pipeline, more consistent publishing, and ideas grounded in audience relevance and search opportunity.

• Description – Researches a single competitor. The agent generates a competitive intelligence report covering the past 30 days.
• Challenge – Conducting thorough competitive analysis for specific marketing use cases is a complex and time-consuming task.
• Value – Informed strategy, targeted campaigns.

• Description – Compares competitor webpages against your own. The agent captures screenshots of each page and recommends specific changes to improve your page.
• Challenge – You need to understand what your competitors are doing, identify effective strategies in the market, and find ways to stay ahead.
• Value – A clear view of what works in your market and specific changes to outperform competitors.

• Description – Turns a campaign description, asset type, and key message into a complete, structured creative brief. The brief covers strategy, audience, messaging, and visual requirements, ready to hand off to a creative team or agency.
• Challenge – Without a clear, structured roadmap, the creative process leads to misaligned expectations, revisions, and delays. Gathering goals, audience details, and technical requirements into a brief is slow work that delays the handoff to creative teams.
• Value – Faster idea-to-execution with fewer revision cycles, so campaigns launch sooner.

• Description – Builds and configures product promotions from a natural-language prompt. The agent assigns products and variants and applies the promotion types you describe.
• Challenge – Commerce teams face manual configuration, slow campaign launches, and a lengthy promotional lifecycle.
• Value – Launch targeted campaigns faster, reduces manual configuration, and accelerates the entire promotional lifecycle from idea to execution.

Create

• Description – Writes a complete blog post for a target audience. The agent researches the subject and delivers the draft, with Search Engine Optimization (SEO) metadata, in a canvas you can edit.
• Challenge – Writing high-quality blog posts that fit a subject and resonate with a target audience is time-consuming, which slows publishing velocity.
• Value – Faster blog production at consistent quality, so teams publish more often without adding writing capacity.

• Description – Repurposes existing content for a new channel. The agent reformats your source content to fit the destination channel's best practices and delivers it in a canvas.
• Challenge – Repurposing content for each platform, while keeping brand voice and following channel best practices, is complex and time-consuming.
• Value – More content reuse, a consistent brand voice, and better engagement across channels.

• Description – builds a content model for Content Management System (SaaS) from a URL or an image. The agent references your existing content types to avoid duplicates.
• Challenge – Analyzing and creating content models that use the latest product features is complex and time-consuming.
• Value – Faster development when creating new content types or adding features to existing ones.

• Description – 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.
• Challenge – Identifying which content on your website is outdated, underperforming, or no longer relevant is difficult. This leads to a stale user experience, lower search visibility, and inefficient content management.
• Value – A fresh, high-performing website with less effort, better SEO, stronger engagement, and content that stays current.

• Description – Translates a full email in Optimizely Campaign (body, subject line, preview text, and image alt-text) into a target language. The agent displays the original and translation side-by-side in a canvas.
• Challenge – Manually translating email content while keeping accuracy, cultural relevance, and brand voice across languages is slow and error-prone.
• Value – Faster, consistent email translation that preserves accuracy, cultural relevance, and brand voice

• Description – Creates marketing emails from a brief overview, target audience, and call-to-action.
• Challenge – Crafting marketing emails that consistently capture attention, drive engagement, and convert readers requires significant time, creativity, and expertise.
• Value – Engaging content, higher conversions, measurable impact.

• Description – Analyzes newsletter content in Optimizely Campaign and delivers structured feedback with recommendations for improvement.
• Challenge – Identifying specific areas for improvement, ensuring brand consistency, and generating data-driven A/B testing ideas can be difficult, leading to suboptimal campaign performance.
• Value – Actionable, expert-level analysis in minutes, so campaigns improve without manual auditing.

• Description – Analyzes content at a provided URL and generates contextually relevant FAQs optimized for AI-powered search.
• Challenge – Efficiently creating and maintaining a comprehensive, up-to-date FAQ section is difficult. Manually identifying common user questions, drafting clear answers, and keeping them current with product or service changes is a time-consuming and resource-intensive process.
• Value – Less time on FAQ creation, stronger self-service coverage, and better visibility in AI-powered search.

• Description – Crafts headlines, body text, and calls-to-action aligned with LinkedIn's professional audience and ad specifications for B2B outreach.
• Challenge – Manually crafting engaging and compliant LinkedIn InMail copy for B2B outreach can be time-consuming and difficult. It requires expertise in copywriting, understanding LinkedIn's professional audience, and adhering to ad specifications to optimize for effective B2B communication.
• Value – The agent streamlines the content creation process, saving time and resources, and helps ensure InMail messages are engaging, compliant, and effective for B2B outreach.

• Description – Creates professional press releases structured for media pickup, from a brief overview of the announcement.
• Challenge – Writing compelling and newsworthy press releases that capture media attention is a specialized and time-consuming task.
• Value – Time saved, consistent messaging, media attention.

• Description – Takes a topic, URL, or key message and generates platform-native social posts for LinkedIn, X, Instagram, Facebook, and TikTok.
• Challenge – Adapting a single piece of long-form content for multiple social media platforms is a repetitive and fragmented process. Each network requires a specific tone, character count, and hashtag strategy. This makes it difficult to maintain high posting frequencies across LinkedIn, X, and Instagram without manual rework.
• Value – The agent eliminates the manual rework required to adapt content for different platforms, instantly multiplying the reach of a single idea. It accelerates distribution workflows, ensuring you maintain a high-velocity social presence that stays on-brand and optimized for engagement without the usual friction of reformatting.

• Description – Researches trending angles, hooks, and competitor post patterns for social content, then packages findings into a structured brief ready to hand off for social post creation.
• Challenge – Staying on top of trending topics, competitor activity, and audience sentiment across social platforms is time-consuming and fragmented. Manually monitoring feeds makes it difficult to plan post strategies that are timely and data-driven. Manual monitoring leads to missed engagement opportunities
• Value – The agent shifts social strategy from guesswork to informed execution by automating the heavy lifting of trend analysis. The agent backs every post with current market data, increasing relevance and engagement rates, without hours of manual research.

• Description – Analyzes email content from Optimizely Campaign and generates three pairs of subject lines and preview texts, each focused on urgency, curiosity, or benefit.
• Challenge – Crafting compelling subject lines and preview texts for email campaigns that capture audience attention, drive open rates, and adhere to character limits requires significant brainstorming, understanding of psychological triggers, and a clear marketing rationale. Marketers find this process time-consuming and challenging.
• Value – Marketers access a variety of high-performing subject line and preview text options without time-consuming brainstorming. This leads to improved email open rates, better engagement, and a deeper understanding of how different messaging strategies impact campaign performance.

• Description – Generates two personalized follow-up emails after a webinar: one for attendees to drive next actions, and one for non-attendees to encourage on-demand viewing.
• Challenge – Crafting personalized follow-up emails for both webinar attendees and no-shows is repetitive and time-consuming, often resulting in generic outreach that fails to drive meaningful next actions.
• Value – Marketing teams reduce manual follow-up effort and maintain consistent post-webinar outreach, driving pipeline from both attendees and no-shows.

Experiment and analyze

• Description – Analyzes an Agent Visibility Analytics dashboard in Optimizely Analytics. The agent surfaces trends, anomalies, and insights from your dashboard data and delivers a report.
• Challenge – Teams sift through Optimizely Analytics dashboards manually to identify what is meaningful. Trends are missed, anomalies go unnoticed, and raw data is slow to become decisions.
• Value – The agent automates analysis of your data, so teams act on signals faster without needing a dedicated analyst for every review cycle.

• Description – 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.
• Challenge – Experimentation backlogs grow fast, but bandwidth is limited. Teams struggle to decide which ideas to test next. Many default to gut instinct or stakeholder pressure rather than a structured, objective framework.
• Value – Removes subjectivity from backlog decisions with a consistent, repeatable scoring methodology that aligns experiment priorities to strategic key performance indicators (KPIs) and surfaces the highest-impact ideas first.

• Description – Detects conflicts between a proposed experiment and any live experiments in the same project.
• Challenge – Running overlapping experiments on the same page corrupts your data, skews results, and leads to flawed conclusions. Flawed conclusions leave teams unable to trust their findings or ship with confidence.
• Value – Eliminate the guesswork before you launch. Catch conflicts early, protect data integrity, and make faster, more confident decisions, without manually auditing your experiment configuration.

• Description – Transforms raw ideas into a fully formed experiment plan, complete with hypotheses, key metrics, risks, and critical assumptions.
• Challenge – A poorly planned test results in few learnings. Running quality tests means teams can get to deeper learning faster.
• Value – Create an experiment plan that enhances your team's overall testing framework.

• Description – Analyzes Optimizely Web Experimentation or Optimizely Feature Experimentation projects and routes to the correct interactive dashboard for each program type.
• Challenge – Experimentation programs generate large volumes of data. Translating that data into a clear, program-level story takes time and effort. Teams lack a single view that surfaces what is working, what is not, and where to focus next across Web Experimentation and Feature Experimentation.
• Value – The agent removes the manual effort of piecing together program performance across experiments. Teams and stakeholders get a clear, structured view of experimentation health, which supports faster, more confident decisions about where to invest next.

• Description – Generates a stakeholder-ready report with the projected annualized impact of rolling out a winning experiment variation.
• Challenge – Communicating the business impact of a winning experiment is difficult. You often struggle to translate experiment test results into concrete, stakeholder-ready numbers that justify the investment. Lift percentages and statistical significance do not map directly to revenue.
• Value –
  • Quantifies the return on investment (ROI) of experimentation in dollar terms stakeholders understand.
  • Removes the guesswork from post-experiment reporting.
  • Supports confident go or no-go decisions on shipping winning variations.
  • Includes an optional conservative discount factor to anchor stakeholders on a realistic, defensible number.

• Description – Analyzes experimentation performance within a specified timeframe to generate a comprehensive overview of program velocity, win rate, and top-performing experiments.
• Challenge – Manually compiling a comprehensive overview of your Experimentation program, including win rates, top performers, and key learnings, is time-consuming and complex. It is difficult to quickly assess program health and identify trends.
• Value – Removes the manual effort of compiling program performance data. Stakeholders get a clear, structured view of experimentation health to identify successful strategies and communicate impact.

• Description – Transforms a provided heatmap image and URL into precise, tailored test ideas.
• Challenge – Creating high-quality test ideas can be difficult.
• Value – Rapidly pinpoint high-impact optimization opportunities and reduce the time required to translate user behavior data into testable experiments.

• Description – Creates, updates, and troubleshoots Optimizely Data Platform (ODP) real-time audiences. It answers expert questions about audience purpose, overlap, and Real-Time Segment (RTS) expressions.
• Challenge – Creating, updating, and troubleshooting RTS audiences in ODP can be difficult. Common challenges include identifying audiences, understanding overlap, building expressions, and diagnosing unexpected behavior.
• Value – Manage RTS audiences in ODP more efficiently by creating, refining, and troubleshooting them through natural-language requests.

• Description – Builds and troubleshoots standard Optimizely Data Platform (ODP) audiences through natural language.
• Challenge – Standard ODP audiences require manual configuration and specialized schema knowledge. Troubleshooting takes time when segments break or produce unexpected results.
• Value – Target the right customers faster by removing the technical barriers of audience creation. Automate repetitive variant work.

• Description – Generates a prioritized package of experiment ideas for any page.
• Challenge – Identifying high-impact experiments is time-consuming. Without historical context, you risk repeating dead ends or missing obvious wins.
• Value – Accelerates your experimentation pipeline with ideas that build on what you know, not what you guess.

Optimize

• Description – Runs a Google Lighthouse audit for your page and a competitor's, then delivers a side-by-side gap analysis with prioritized recommendations.
• Challenge – Teams rarely have a clear, side-by-side view of how their page performance stacks up against competitors.
• Value – Teams stop guessing and start acting with precision. Benchmark performance directly against competition to prioritize the technical improvements with the most impact. Acting on these insights turns page speed from a liability into a competitive advantage.

• Description – Finds high-priority Answer Engine Optimization (AEO) content gaps by analyzing your website against tracked competitors.
• Challenge – AI citation gaps are invisible. Search Engine Optimization (SEO) and content teams cannot see which topics drive competitor citations or what to write.
• Value – AEO competitive gap analysis in one run, without piecing together data across tools and engines.

• Description – Delivers a snapshot of your brand's visibility across ChatGPT, Gemini, and Perplexity.
• Challenge – AI search visibility is a blind spot. Marketing and SEO teams cannot see where their brand wins, where it loses, or what to fix.
• Value – Specialist-level AI search visibility in one run, without custom dashboards or manual data pulls.

• Description – 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.
• Challenge – Search engines and audiences increasingly demand content that demonstrates Experience, Expertise, Authoritativeness, and Trustworthiness (E-E-A-T). Manually auditing every article for these nuanced signals, such as primary research, expert citations, and verified data, is a meticulous and inconsistent process that often leaves high-value content underperforming in search results.
• Value – De-risks your search strategy by ensuring every piece of content is architected for maximum visibility and trust.

• Description – Pulls Google Analytics 4 (GA4) traffic data and delivers an executive-ready HTML report with period-over-period metrics, top pages, channel breakdowns, and recommended actions.
• Challenge – Pulling multiple reports manually to understand traffic trends, user behavior, and conversion performance is time-consuming and difficult.
• Value – Insights are delivered in an executive-ready format, accelerating data-driven decision-making.

• Description – Audits any webpage for AI search readiness and generates a comprehensive GEO report covering AI crawler accessibility, Core Web Vitals, schema markup, content structure, and citation readiness.
• Challenge – Manually conducting comprehensive audits, obtaining actionable insights, and prioritized plans for AI search readiness is complex and time-consuming.
• Value – Improves visibility in AI-powered search engines with quick, repeatable GEO checks across any page type.

• Description – Runs a comprehensive Generative Engine Optimization (GEO) audit on any page and delivers a branded report with prioritized recommendations.
• Challenge – Organizations struggle to optimize content-heavy pages for AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews.
• Value – Less guessing, more insight and actionable improvements you can make today to improve AI visibility.

• Description – Lets you enhance your content's visibility and (LLM) discoverability by automatically identifying opportunities for structured data markup.
• Challenge – Ensuring that GEO-specific content is correctly structured with schema markup can be complex, often leading to under-optimized local search performance and missed opportunities for rich search results.
• Value – Optimizing your GEO-schema can improve your visibility in local search results, increase the chances of appearing in rich snippets, and drive more relevant local traffic to your business.

• Description – Takes a topic, uses data from Optimizely Content Marketing Platform (CMP) Idea Lab and the broader web, and returns a curated list of keywords to maximize content visibility and search traffic.
• Challenge – Identifying the most effective keywords to maximize content visibility and search traffic requires extensive research and analysis.
• Value – Improved SEO, increased visibility, higher rankings.

• Description –Performs a full conversion audit on any live web page and returns a prioritized list of fixes ordered by expected conversion impact.
• Challenge – Teams often rely on gut instinct when deciding what to change on a page to improve conversions. Without a structured audit process, optimization efforts scatter, miss high-impact fixes, and waste resources on low-impact changes.
• Value – By focusing on the highest-impact changes, teams eliminate guesswork, accelerate experimentation, and maximize the return on every optimization effort.

• Description – Analyzes your live page copy and generates optimized versions for clarity, conversion, and message-market fit.
• Challenge – Writing high-performing page copy is difficult without a clear benchmark. Without visibility into how your messaging compares to competitors, your copy fails to resonate, differentiate, or convert.
• Value – Move from competitive insight to stronger on-page messaging in minutes. By replacing guesswork with audience-specific, goal-driven copy, sharpen your value proposition and improve conversion rates.

• Description – Runs a full Google Lighthouse audit on any live URL, covering Performance, Search Engine Optimization (SEO), Accessibility, and Best Practices. The agent then cross-references findings against a visual screenshot to pinpoint root causes and deliver specific, ranked fixes with real metric values.
• Challenge – Teams struggle to diagnose why pages underperform. Audit tools surface scores but rarely connect them to root causes, and automated checks miss visual issues entirely.
• Value – The agent eliminates guesswork by pinpointing exactly what to fix and why. Teams prioritize the improvements with the most impact on page speed, search visibility, and user experience.

• Description – Analyzes competitive citation performance for any topic using Profound's AI search tracking data.
• Challenge – Identifying citation gaps and determining blog topics to prioritize based on AI citation performance against competitors across platforms like Perplexity, ChatGPT, and Google AI is difficult.
• Value – Makes it easy to identify citation gaps and determine blog topics to prioritize, helping to improve content strategy and visibility in AI-powered search.

• Description – Analyzes Optimizely Content Management System (SaaS) webpages and generates optimized SEO metadata, including meta titles, descriptions, and OpenGraph tags, and applies updates directly in CMS (SaaS).
• Challenge – Creating and maintaining optimized SEO metadata across CMS (SaaS) pages requires manual effort and specialized knowledge.
• Value – The agent improves search engine visibility and drives more qualified organic traffic without requiring dedicated SEO expertise.

• Description – Evaluates a URL for existing SEO properties, identifies optimization opportunities, and recommends improvements.
• Challenge – Optimizing SEO metadata for content to improve search engine visibility can be difficult.
• Value – Improved SEO metadata leads to better search engine rankings, increased organic traffic, and a more effective digital presence.

• Description – Helps improve content search engine rankings and organic visibility by analyzing target keywords and competitor content.
• Challenge – Manually analyzing webpages, target keywords, and competitor content to identify opportunities for SEO improvement is a complex, time-consuming, and often specialized task.
• Value – By automating the analysis and providing tailored recommendations, the agent helps you significantly improve your content's search engine rankings and organic visibility.

• Description – Checks a URL against the WCAG Accessibility 2.2 Standards and Google Lighthouse.
• Challenge – Manually checking website URLs against WCAG 2.2 accessibility standards and Google Lighthouse is a complex and specialized task.
• Value – Accessibility compliance, improved inclusivity.

Productivity

• Description – Summarizes lengthy documents and PDFs, extracting key points from complex content.
• Challenge – Reviewing lengthy documents and extracting critical insights is time-consuming and slows down decision-making.
• Value – Faster understanding, streamlined reviews, informed decisions.

• Description – Converts existing content to a different language, taking into account cultural, company, and grammatical differences.
• Challenge – Translating content and PDFs into multiple languages while maintaining cultural and company-specific nuances is a complex and costly endeavor.
• Value – Global reach, accurate communication, streamlined efforts.

• Description – Creates QR codes for various purposes.
• Challenge – Manually generating and managing QR codes for various marketing materials can be inefficient and prone to errors.
• Value – Enhanced engagement, tracking, and marketing efficiency.

• Description – Takes a source document or text and extract important quotes.
• Challenge – Manually sifting through long documents to extract the most important and relevant quotes is inefficient and time-consuming.
• Value – Time saved, efficient content creation.

• Description – Simplifies the creation of UTM parameters (tags added to the end of a URL to help track the source, medium, and name of a marketing campaign in website analytics).
• Challenge – Manually creating and ensuring the correctness of UTM parameters for campaign tracking can be complex and prone to errors.
• Value – Ensures accurate attribution tracking, improves data quality, and simplifies campaign analysis.