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Meet Optimal's AI Interviewer: Scale Your Research Without Scaling Your Workload

Great research has never been about speed alone. It’s about asking the right questions, understanding the context behind them, and uncovering insights that help teams make better decisions.

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Optimal's AI Interviewer is designed to support that process. It’s designed to work alongside researchers and teams, so you can move faster without losing the depth and human nuance that makes research valuable.

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Shaped by discovery

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Before building AI Interviewer, we spoke with and surveyed researchers, designers, and product teams to how they approach interviews today and where AI could genuinely help.

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What we heard was consistent:

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  • Interviews are powerful, but time-intensive
  • Scaling across time zones is challenging
  • Synthesising conversations can take longer than running them
  • And most importantly, context matters

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AI isn’t useful if it ignores how your team works. So instead of building a generic interviewer, we focused on building an AI Interviewer that fits into your current workflows and keeps researchers and teams in the driver's seat.

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Here’s what we learned and how we brought it to life with Optimal’s AI Interviewer.

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Context matters

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The best interviews start with a clear understanding of what you’re trying to uncover. With the AI Interviewer, you can add your research goals, audience details, company and product context, and additional context you want the AI to consider. This means the AI doesn’t just ask questions; it understands what you’re trying to learn and helps guide conversations in the right direction.

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The same context also powers AI insights, helping ensure summaries, key themes, and citations are relevant, accurate, and aligned with what you're trying to learn.

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Control the conversation

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One of the concerns with AI-led interviews is not having enough control. We’ve designed the AI Interviewer with this in mind.

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For each question, you can choose how deeply you would like the AI Interviewer to probe and follow-up. You decide when deeper exploration is valuable, how the conversation flows, and the AI can then carry this out on your behalf.
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Scale your research without losing depth

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AI Interviewer helps remove some of the barriers that make qualitative research difficult to scale. Use it to:

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  • Scale research without hiring additional moderators
  • Run interviews across different geographies and time zones
  • Keep research moving, even when your team is offline
  • Encourage more honest, candid feedback with an AI interviewer that participants may find easier to open up to

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This isn’t about replacing researchers. It’s about removing operational work so you can focus on higher-value work, like synthesis, storytelling, and decision-making.

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Richer insights, backed by evidence

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Every session comes with recordings, key summaries, and AI-generated insights with clear detailed evidence. Instead of reviewing hours of footage, you can quickly find what matters and confidently back it up. Review insights across your full study, or dive deeper into individual sessions and specific questions.

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On the roadmap: Once your interviews are complete, you can use AI Chat to go further with your data and explore patterns across sessions, ask follow-up questions, and validate assumptions with real evidence.
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Humans in the loop, by design

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Let’s address the elephant in the room. AI-led interviews aren’t something everyone is immediately comfortable with, and that’s fair. There are real limitations. 

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Some research scenarios require human sensitivity and judgment. Nuance, emotion, and edge cases still benefit from a human touch. Vulnerable populations and complex topics should always be handled with care. Optimal values a human-in-the-loop approach and know an AI Interviewer isn’t always suitable. With that in mind, we made sure that:

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  • You define the context
  • You control the structure
  • You decide when and how to use it

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The AI Interviewer supports your work. It doesn’t replace your expertise.
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Early access: help shape what comes next

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AI Interviewer is now available in early access, and we’re continuing to learn from the teams using it. If you’re looking to scale your research without scaling your workload, run interviews across time zones, and spend less time on logistics and more time on insights, we’d love for you to try it.

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👉 Book a demo to see how it fits into your workflow.

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Already with Optimal? Register your interest for early access.

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1 min read

Recruit Hard-to-Reach B2B Participants

How to Recruit B2B Participants for User Research

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Recruiting B2B participants is harder than recruiting consumers, and the gap is wide. Decision-makers are scarce, gatekeepers are real, and generic panels rarely reach the job titles you need. The good news: a structured, multi-channel approach consistently works.

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Why B2B Recruitment Challenges Are Different

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Consumer research has a ready supply of willing participants. B2B research does not. The people you need, e.g. procurement leads, IT directors, operations managers, finance executives, are exactly the people who have the least spare time and the most filtered inboxes.

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Gatekeepers are a structural problem. Executive assistants, spam filters, and company email policies all block outreach before it reaches the right person. Gartner research shows 73% of B2B buyers actively avoid suppliers that send irrelevant outreach – a dynamic that applies equally to research recruitment. If your first contact feels like a sales pitch, the door closes.

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Response rates for B2B surveys and studies have also declined over time. Busy professionals receive more outreach than ever, and the bar for what earns a reply keeps rising. That makes the quality of your approach more important than the volume of contacts you reach.

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The hardest participants to recruit are rarely hard to find because of their job title alone. The real difficulty sits one layer deeper: behavioral and firmographic complexity. A finance manager is not a useful targeting label on its own. A finance manager who actively uses invoicing software to manage vendor payments for a team of 20 is. Small business owners are another example; add a revenue tier to your criteria and your incidence rate drops sharply. These layers matter, and ignoring them produces a sample that looks right on paper but fails in the room.

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Participant Recruitment Strategies That Work for B2B

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No single channel fills a B2B research pipeline on its own. The teams that recruit consistently well use several channels at once and rotate based on what each study needs.

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Direct Outreach via LinkedIn

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LinkedIn is the most direct route to specific job titles and industries. You can filter by seniority, company size, sector, and geography, and then reach out with a short, personalised message that explains exactly what the study involves and what you're asking of them. Keep the ask small in the first message. Invite them to a two-minute screener, not a 60-minute interview. The lower the initial commitment, the higher the reply rate.

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Industry Associations and Professional Communities

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Trade associations, Slack communities, and industry forums often have members who are genuinely interested in contributing to research that improves their field. A well-placed post in the right community can outperform hundreds of cold emails. Find the communities where your target participants already gather and ask moderators about appropriate ways to recruit.

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Referral Networks

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Your existing customers and past participants are an underused recruitment channel. A warm referral from a peer carries far more weight than a cold message from a stranger. Build referral into your study design: after each session, ask participants if they know one or two colleagues who fit your profile. Offer a small bonus for successful referrals. This compounds quickly across a research program.

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Specialist Research Panels

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Some platforms maintain curated panels of verified B2B professionals. These panels charge a premium over consumer panels, but they save weeks of sourcing time and reduce the risk of fraudulent or unqualified participants. When evaluating a panel provider, ask specifically how they verify job titles and company information - not all B2B panels apply the same rigour.

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Access B2B Participants Through Your UX Research Platform

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Many UX research platforms have built-in recruitment offerings that remove the sourcing problem entirely. Instead of building a B2B pipeline from scratch, you tap into a panel already vetted for the firmographic and behavioral detail B2B studies need. Some platforms, like Optimal, also offer specialized recruitment and will help you source hard-to-reach participants, or if you are recruiting for moderated research. This is especially helpful if you have criteria that goes beyond demographic and firmographic criteria.

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The advantage isn't just speed. Handling recruitment, screening, and research in one place removes the handoff friction of juggling separate tools and you'll get an additional layer of quality assurance from the platform itself. This typically creates a smoother experience for participants as well.

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When evaluating this option, look for the same rigor you'd expect from any specialist panel; verified job titles, current company information, clear screening criteria, plus the convenience of running the whole study in a single workflow. You can also ask the platform directly about their audience size for a specific segment and cost estimate as part of the evaluation.

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Strategies for Recruiting Niche and Hard-to-Reach Professionals

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Some roles are genuinely hard to reach through any standard channel. C-suite executives, highly regulated professionals (healthcare, finance, legal), and senior buyers in niche industries need a different approach.

Understanding the ecosystem around a target participant is as important as knowing their title. If you're recruiting finance managers who evaluate invoicing tools, your outreach should reflect that specific context, not just their seniority or sector. The more precisely you understand what they do and which tools they rely on, the more relevant your message feels, and the more likely they are to respond.

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Lead with Value, Not the Ask

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Hard-to-reach professionals respond to relevance. If your outreach message leads with what they'll get – a summary of findings, a chance to shape a product they use, a peer benchmarking report – you shift the dynamic from "favour request" to "professional exchange." Frame the study as something worth their time, not something you need from them. Be upfront about the time commitment too. Transparent communication about how long the session runs and exactly what it involves increases willingness to engage, especially among senior participants who guard their calendars closely.

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Use Warm Introductions

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A cold message to a VP of Procurement has a low hit rate. A message from someone they already know has a much better one. Map your internal network; sales, customer success, account management, and identify who has existing relationships with the profiles you need. A brief internal email asking for an introduction often works faster than any external outreach.

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Work Through Recruiters and Staffing Agencies

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Specialist B2B recruiters maintain databases of professionals in specific industries and roles. Some research recruitment agencies focus exclusively on hard-to-reach segments, such as senior executives, regulated industries, enterprise buyers. Their networks take years to build and are genuinely difficult to replicate through DIY outreach alone.

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Time Your Outreach Carefully

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Timing matters more in B2B than in consumer research. Avoid outreach on Monday mornings and Friday afternoons. Mid-week, mid-morning tends to produce the best reply rates. For senior roles, budget and planning cycles also affect availability. For instance, a CFO is easier to reach in a quieter quarter than during year-end close.

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Screening Methods That Protect Study Quality

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Recruiting the wrong participants wastes everyone's time and produces data you can't use. A well-designed screener is the most important quality control tool you have.

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The biggest risk with screeners is leading participants to the right answer. When someone suspects what you're looking for, they'll guess their way through. The fix is to write questions that surface behavior indirectly. Instead of asking "Do you shop at Amazon?" ask participants to list all the online retailers they've visited in the past month. You get the same signal without telegraphing what qualifies. The same principle applies in B2B: instead of asking "Are you responsible for software purchasing decisions?" ask "Which of the following best describes your involvement in evaluating new tools for your team?" - then list options that include both qualifying and disqualifying answers.

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Defining your criteria precisely before you write a single question is equally important. Job title alone is rarely enough. For small business owners, you may need to specify a revenue tier - and that extra layer will reduce your incidence rate. For software-adjacent roles, you may need to confirm which specific tools a participant actively uses. Know those requirements going in, or your sample will drift.

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Check for consistency. If someone claims to be a Director at a 500-person company but also says they have no budget authority, that's a flag worth following up on. A short phone screen before a longer session catches most of these cases early.

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Best Practices for Incentives and Scheduling

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Incentives that work for consumer panels often fall flat with senior B2B professionals. A $50 gift card is meaningful to a general consumer but barely registers for a Director earning a six-figure salary. The wrong incentive doesn't just fail to attract, it signals that you haven't thought carefully about who you're asking.

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What Incentives Actually Work

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  • Charitable donations in the participant's name - many executives prefer this to personal compensation
  • Exclusive research summaries - sharing aggregated findings gives participants something professionally useful
  • Access to peer benchmarking data - senior buyers often want to know how their organisation compares
  • Monetary compensation at a rate that reflects their time - for senior roles, $150-$400 per hour is a reasonable starting point; for C-suite participants, calibrate higher to reflect the real value of their time

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Be transparent about incentives upfront. Burying the compensation detail at the end of a screener reduces completion rates and creates friction.

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Scheduling Flexibility

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Offer a wide range of session times, including early morning and late afternoon slots. Use a self-scheduling tool so participants can book without email back-and-forth. Every extra step in the scheduling process loses participants - especially busy professionals who won't chase a researcher to find a time.

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Key Takeaways

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Recruiting hard-to-reach B2B participants takes more effort than consumer recruitment - but the effort is predictable and manageable with the right approach.

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  • Use multiple channels simultaneously: LinkedIn, referrals, associations, and specialist panels
  • Lead with value in every outreach message - relevance beats volume
  • Write screeners that verify qualifications without telegraphing correct answers - ask about behaviors, not just roles
  • Define firmographic and behavioral criteria precisely before writing a single screener question
  • Match incentives to the seniority and professional context of your participants
  • Be transparent about time commitments and session structure to increase engagement
  • Choose platforms that verify B2B credentials, not just self-reported job titles

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The teams that recruit well don't just find participants - they build relationships that make the next study easier. Start with the channels closest to your existing network, then expand outward as your program grows.

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Ready to run your next B2B study? Talk to sales to find the right plan for your team and learn more about Optimal's recruitment capabilities.

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1 min read

Bring Your Research Data into the Rest of Your Business with the Optimal API

Research data becomes even more valuable when it can be used alongside the other data your business relies on.

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The Optimal API gives organizations secure, read-only access to their Optimal research data, so you can connect research with the tools and workflows your teams already use. Bring research data into a data warehouse, build dashboards, automate reporting, or combine research results with product analytics and business metrics.

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Instead of manually exporting research data or relying on static reports, you can create a more connected way to access and use your research at scale.

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What is the Optimal API?

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The Optimal API is a secure, read-only way to access research data from Optimal programmatically. It allows your developers, IT or systems administrators, and API or integration managers to connect Optimal with other business systems.

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For example, you can use the API to:

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  • Centralize research data in a data warehouse such as Snowflake.
  • Build research dashboards in Power BI, Tableau, Looker, or other business intelligence tools.
  • Automate reporting so research data can flow into recurring reports and workflows.
  • Create an internal research repository that brings research data together in one place.
  • Connect research with business data to explore research alongside product analytics, customer data, or business metrics.
  • Build custom applications and integrations around your organization's research data.

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Why connect your research data?

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As research programs grow, manually exporting and combining data can become time-consuming. Connecting research data to your existing data infrastructure can make it easier for teams to find, analyze, and share research across the organization.

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For example, a research team could send Optimal data to Snowflake and combine it with product analytics. A research operations team could build a centralized dashboard showing research activity across teams. A data or analytics team could automate recurring reports instead of relying on researchers to export data manually.

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The API helps make research data more accessible beyond the research team.

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What research data can you access?

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The initial release of the Optimal API provides read-only access to:

  • Research activities
  • Research metadata
  • Participants
  • Responses and results
  • Insights and AI-generated insights

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This means you can retrieve research data from Optimal without changing or deleting it through the API.

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Who can set up the Optimal API?

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Depending on how your organization manages technology and integrations, the person setting up access to the API might be a:

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  • Developer
  • IT or systems administrator
  • API or integration manager
  • Data or analytics team member

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You don't need to be the person building the integration to create the API application. The organization admin is responsible for creating the application and securely sharing its credentials with the appropriate person.

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How to keep your API credentials secure

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Your Client Secret works like a password for your API application. Treat it as sensitive information and only give access to people or systems that need it.

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Follow these best practices:

  • Never share your Client Secret publicly. Don't send it through Slack, email, direct messages, or other unsecured channels.
  • Use a password manager or secrets manager. Store credentials in a secure tool such as 1Password or your organization's approved secrets manager.
  • Don't add secrets to source code. Never commit your Client Secret to a Git repository or include it in configuration files, screenshots, or other files that could be shared.
  • Limit access to credentials. Only give API credentials to the people or systems that need them.
  • Make application ownership clear. Use a descriptive application name so your team can identify what the application is used for and who manages it.
  • Delete applications you no longer use. Removing unused applications helps reduce unnecessary access.

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Build a more connected research workflow

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The Optimal API makes it possible to bring research data into the systems your organization already relies on.

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Whether you're building a research repository, connecting research to business intelligence, automating reporting, or combining research with product data, the API can help reduce manual data handling and make research easier to use across your organization.

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The Optimal API is now currently available to multi-team organizations on Enterprise plans.

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