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What Optimizely's Agent Platform actually does in 2026

If you've read Optimizely's new marketing, you've met the pitch. An 'infinite workforce'. Agents that 'do the impossible'. Marketing 'without limits'.

Andy Thompson
Andy Thompson

29 July 2026

9 minute read

Here's the other version. The one from an agency that actually builds with the thing.

Luminary was the first agency in APAC to earn Optimizely's Opal accreditation, and we've spent the months since building agents, hitting ceilings, and finding where the demo ends and the real work starts. Australia is one of the platform's biggest markets in the world, so plenty of you are about to have this conversation. Here's what I'd tell you over a coffee.

In plain terms, the Optimizely Agent Platform is a no-code system for building and orchestrating AI agents that carry out marketing work across Optimizely's products.

(One quick note to save confusion: Optimizely's rebranded site leads with 'the Agent Platform', while the name Opal still appears in the product, the support docs and the partner programme. You'll see both about. I'll use the site's language here.)

Think of it as hiring, not installing

The most useful way to picture the Agent Platform isn't as software. It's as staffing.

When you hire a new marketer, they turn up capable but clueless about your business. You give them an induction, your brand guidelines, access to your systems, and a manager who checks their work before it goes out. Over time, you trust them with more. You also, worth remembering, pay them in proportion to the work they do.

The Agent Platform works the same way, and its building blocks line up almost exactly onboarding people:

  • Chat is the conversation, how you brief the new hire in plain English
  • Instructions (Optimizely often calls them Skills) are the induction pack, your brand rules and tone written once and used everywhere
  • Agents are the hires, some pre-trained specialists, some you shape yourself
  • Tools are their system access, what they can actually touch and do
  • Workflows are the operating rhythm, multi-step processes with triggers, handoffs and a human sign-off before anything ships

Hold onto the hiring picture, because it also explains the catches:

  1. new hires need supervision,
  2. new hires cost money in line with the work you give them, and
  3. a new hire with no access to your systems is just a stranger in your kitchen, drinking your coffee!

How did we get here?

The product has had several distinct lives before arriving at today's 'Agent Platform' language.

At Opticon 2023 it was a concept, a collective name for AI across Optimizely One. In 2024 it became brand-aware assistants running on Google's Gemini. In May 2025 it was rebuilt onto a credit-based usage model. At Opticon in September 2025 it relaunched as a no-code agent orchestration platform, with a directory of 50-plus pre-built agents, a custom agent builder and a drag-and-drop workflow canvas. Since March this year it's run on both Gemini and Anthropic's Claude models. And in June this year, the rebrand brought the language Optimizely uses now.

If your opinion of this product was formed in 2024, it's several lives out of date. Mine was too, until we rolled up our sleeves and got our hands dirty with it.

What's genuinely good?

The site describes it as 'not a chatbot, not a template library', and on that, it delivers. There's more here than we expected.

Start with the Agent Directory, the library of 50-plus pre-built agents any Opal admin can install with a click. This isn't a handful of generic 'write me a blog post' bots. Specific, real jobs are covered: a GA4 Web Traffic Report Generation agent that pulls and narrates your analytics instead of you screenshotting charts into a deck, a Technical SEO Auditor and a separate Generative Engine Optimization (GEO) Recommendations agent for the AI-search era, a Web Accessibility Evaluation agent, and a Content Model Creation agent that looks at a URL or an image and proposes a CMS content structure. Then there are the more expected content jobs: blog posts, press releases, LinkedIn InMail copy, campaign briefs, competitive insight reports. Each one has its own documentation page describing exactly what it does and how it's configured, so you're not guessing at a black box.

The workflow canvas is where it stops being a bag of individual tools and starts being a system. You drag agents onto a canvas, wire them together with conditional logic and looping, set a trigger (a schedule, an event, a webhook), and the whole chain runs end to end with a human sign-off wherever you've decided one belongs. Agents themselves come in two shapes worth knowing: most run single-shot (you ask, it answers once, done), but you can configure multi-turn agents that stay live in the chat for genuine back-and-forth, so you're not locked into one mode for everything.

Governance is built into the plumbing, rather than layered on top. Every action is logged, instructions act as enforceable guardrails on tone and brand, and a Quality tab scores each agent run against criteria you define, flags drift from expected behaviour, and lets you recover a run that's gone wrong. That's what lets you scale usage without personally reviewing every single output.

The interoperability is stronger than that of most rivals. There's a tools SDK for developers, pre-built connectors to the likes of Salesforce, Conductor, GA4, Figma and Atlassian, and support for connecting any remote MCP server, which means agents can reach your other systems that Optimizely has never even heard of. It also lives in Slack and inside the CMS itself, which could matter more for adoption than any single feature. Agents that come to where your team already works get used. Agents behind another login don't.

The momentum looks real too. Optimizely reports close to 10,000 agent actions a day, tenfold growth in a year. That's a vendor number, so treat it as one. But it seems to match what we're seeing on the ground here.

If you'd rather see it than take my word for it: Optimizely's own Agent directory support pages list and describe every default agent individually. G2's Optimizely Opal listing has real product screenshots of the agent library, the tools directory and the workflow builder. And Optimizely's Summer Series: Opal in Action is a short video series, including a 'Meet the Agents' episode, that's a genuinely useful five minutes if you want to see it move rather than read about it.

Where's the fine print?

This is the section the press releases skip, so I won't. I've linked every claim here so you know it's not just speculation.

Default agents are single-shot. Optimizely's own documentation confirms it: a specialised agent takes a request, runs once, and returns a result. Multi-turn, iterate-with-me behaviour exists, but it's a mode you deliberately configure, not the default. If you're picturing a colleague who noodles on a problem with you all afternoon, adjust your picture.

The most ambitious pieces are the least available. Workflow agents, the autonomous multi-step kind that headline the keynotes, are in private GA, and Optimizely's documentation says plainly that they are not available in all Opal instances. What ships today for everyone, single-shot and multi-turn specialised agents chained together manually, is genuinely useful. The fully autonomous orchestration on the keynote slide is still a staged rollout, so check what's actually live in your own instance before you plan a project around it.

There are prerequisites that nobody mentions up front. Opal requires Opti ID to access it at all. For agents to use your CMS content as context, you need Optimizely Graph running, mandatory on CMS 13 but something plenty of longer-standing customers simply don't have yet. An agent is only as good as what it can see, so a rollout is often a platform-maturity project wearing an AI hat. Budget for that.

And finally, credits need a grown-up in the room. The platform has run on a pooled, consumption-based model since 7 May 2025, administered as Opal credits, where complexity drives cost. Fellow Optimizely partner Oshyn has written candidly about how fast a shared pool drains when several teams tap it. Optimizely moved to a fixed-category credit model effective 1 March 2026, which helps predictability, and there's a complimentary allocation of 200 credits a month per instance running through the end of 2026. But our experience is blunter: most waste comes from vague instructions and needless retries, not the pricing model. A badly briefed agent burns money in exactly the way a badly briefed contractor does.

None of this is a reason to wait. 

It's a reason to walk in with your eyes open. Gartner reckons more than 40% of agentic AI projects will be scrapped by the end of 2027, mostly through fuzzy business value and weak governance. Every one of those failures started with someone believing the demo was the finished product.

So, are you ready for it?

A quick, honest self-test quiz before you spend a dollar:

  1. Are you on Opti ID, and is Optimizely Graph live, or at least scoped?
  2. Are your brand guidelines clear enough to paste into an instruction, or are they folklore in someone's head?
  3. Have you picked two or three specific jobs for agents to do, with a measurable before and after?
  4. Is someone named as the owner of credit consumption and agent governance?
  5. Do your approval workflows exist anywhere other than email?

Mostly yes? The platform will likely pay its way quickly.

Mostly no? That's not a mark against the product, this becomes your actual project plan, and it's the work worth doing first.

🗓️ That's the mid-2026 picture from the workshop floor. It'll date, happily so, since half the caveats above are roadmap items. When they ship, we'll update this post and say so!

In the meantime, if you'd like the coffee version of this conversation about your own stack, you know where we are.

Questions we get asked

What is the Optimizely Agent Platform?

It's Optimizely's no-code platform for building and orchestrating AI agents that carry out marketing work across its products. It ships with a library of pre-built agents, a custom agent builder, and a drag-and-drop canvas for chaining agents into multi-step workflows with human approval.

Is Optimizely Opal the same as the Agent Platform?

Optimizely's rebranded website leads with 'the Agent Platform', while the name Opal still appears inside the product, the support documentation and the partner programme. In practice you'll come across both terms. I've used the site's language throughout this post.

How does Optimizely Agent Platform pricing work?

It runs on a pooled, consumption-based model, administered as Opal credits, where more complex work consumes more credits. Optimizely moved to a fixed-category credit model in March 2026 for greater predictability. In our experience, most wasted spend comes from vague instructions and unnecessary retries, not the platform itself.

What do you need in place before using it?

At minimum, Opti ID, plus Optimizely Graph if you want agents to use your CMS content as context. Beyond the technical prerequisites, you need brand guidelines clear enough to write into an agent's instructions, a couple of well-defined jobs to automate, and someone accountable for credit usage and governance.

Is the Optimizely Agent Platform generally available?

The core platform is, covering both single-shot and multi-turn specialised agents. Workflow agents, the fully autonomous multi-step kind, are in private GA and not available in every Opal instance. What ships today is useful. Just confirm what's live in your own instance before you plan around it.

Andy Thompson
Andy Thompson

29 July 2026

9 minute read

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