Comparison

Farcasts vs Optimizely

Optimizely gives your team an AI agent at each stage, and a person still saves every variation. Farcasts runs every stage itself, and you only approve the finished draft.

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Optimizely and Farcasts both generate page variants and move more traffic to the better one. Optimizely's documentation asks a person to preview and save each variation. Farcasts builds each variation itself, and asks you to approve it before it goes live.

Farcasts runs the stages as one job

Optimizely's documentation presents planning, generation, review, allocation and analysis as separate stages, each with its own agent. Farcasts runs those same stages as one continuous job.

Farcasts builds, your team reviews

Optimizely's agent writes a variation, and a person then previews it and saves it. Farcasts builds every variation in the experiment, and you comment on the draft and approve it.

Farcasts also writes the ads

Optimizely's agents work inside the experimentation platform. Farcasts also writes and critiques the ad creative, then writes the landing page to match that ad.

Experimentation is only half of the job. Farcasts also writes the ads, reports what each audience did after the click, and never asks anyone to open your code.

Agents that write the ads

Creative Studio writes image and video ad concepts in your brand voice, criticises them, and shows you the ones worth running.

What the ad did after the click

Farcasts reads your Meta and Google ad accounts without changing anything, and reports what each audience did after the click.

Nobody opens your codebase

Farcasts serves new layouts, journeys across several pages and new pages on your own domain from one tag. Your team ships no pull request and no release.

Every answer about Optimizely below comes from their own published material.

Farcasts compared with Optimizely, dimension by dimension
Dimension	Optimizely	Farcasts
What it is	OptimizelyAn enterprise suite spanning experimentation, personalisation, feature delivery, analytics, content and commerce, packaged individually.1	FarcastsOne product that generates variants of your live website and measures them against a holdout group.
Who does the work per experiment	OptimizelyGenerated variations are previewed and explicitly saved, and the agent platform states that users review, edit and approve outputs before they go live.2	FarcastsFarcasts reads your visitor behaviour and your ad accounts, then builds each experiment itself. You comment on the draft and approve it.
Variant generation	OptimizelyA visual editor plus an Opal agent that creates and changes text, styles, elements, layout and custom code.2	FarcastsFarcasts generates copy, imagery, styling, layout, journeys across several pages, and new pages your site never had.
Traffic allocation	OptimizelyStats Accelerator targets significance faster. Multi armed bandit maximises conversions during a test but does not report statistical significance.3	FarcastsA bandit moves traffic to the better variant, and a fixed holdout runs beside it in the same test.
Traffic needed to learn	OptimizelyStats Accelerator requires an experiment with at least three variations, a primary metric, a distribution choice and an explicit start.4	FarcastsFarcasts is built for websites that never get enough visitors for a classic A/B test.
After a winner	OptimizelyTheir documentation describes configurable stages and autonomous workflows, and does not describe an automatic next test once a winner is found.5	FarcastsFarcasts keeps the winner, retires the weak variants, and drafts the next one from what visitors did. You approve that draft.
First paint	OptimizelyTheir support documentation says Web Experimentation can briefly show the original before a variation and recommends mitigations. Performance Edge moves assignment to the CDN edge.6	FarcastsFarcasts serves the chosen variant at first paint, so no script has to hide the page while it loads.
Ad to page message match	OptimizelyGoogle Ads audiences and matching pages are supported through a project integration and tracking template parameters, with one Ads account per project.7	FarcastsFarcasts reads the Meta or Google ad, audience and keyword a visitor clicked, then writes the page to match.
How lift is measured	OptimizelyStats Engine with continuous monitoring, warehouse native analytics, adaptive significance acceleration and personalisation holdbacks.4	FarcastsA fixed share of visitors always sees your original website, and every result is read against that group.
Install and reach	OptimizelyOne JavaScript snippet for web, and more than twenty SDKs covering backend, mobile and edge through Feature Management.8	FarcastsOne JavaScript tag runs the generation, the traffic split and the measurement on any website.
Pricing and buying motion	OptimizelyNo public price. Every plan is individually packaged and quoted, and cost varies with traffic, products and implementation.1	FarcastsFarcasts prices each site case by case, and starts with a four week pilot on a fixed scope.
What the AI costs to run	OptimizelyOpal features consume pooled credits when they call a model. Their documentation puts test ideation at an average of 130 to 180 credits and shows variation development examples reaching 130.9	FarcastsGenerating variants is included in Farcasts. No credit balance counts down while the tests run.

Where the human sits

Farcasts builds each variant, you review it

Optimizely's variation agent changes text, styles, elements, layout and custom code. Optimizely's documentation then asks a person to preview each result and save it before it goes live. Farcasts reads your visitor behaviour and your ad accounts, proposes the experiment, and builds every variant in it. Your team gives a direction, leaves comments on the draft, and approves the finished version before it ships.2

Speed against certainty

Farcasts runs the bandit and the holdout together

Optimizely's multi armed bandit maximises conversions while a test runs, and their documentation says it does not report statistical significance. Stats Accelerator is the separate feature that chases significance. Farcasts runs a bandit and a fixed holdout in the same test, so traffic moves toward the variant that is working while a fixed share of visitors keeps seeing the original page.3

Setup

Farcasts is simpler to install

Optimizely's web snippet is one line, the same as ours. Optimizely's variation agent needs more than that snippet: their documentation lists Opti ID, a connected Web Experimentation or Personalization product, an Opal instance, the new visual editor and several enabled tools before the agent will write a variation. You install Farcasts by pasting one tag, and that tag carries the generation, the traffic split and the measurement.2

Farcasts and Optimizely both do the things below.

Optimizely's Opal agent generates variations of text, styles, elements, layout and custom code. Farcasts also generates variants on the live website.2

Optimizely's bandit uses Thompson sampling for binary metrics inside a configured test. Farcasts moves traffic with a bandit as well.3

Both products start with one JavaScript snippet on the website.12

What changes when you run Farcasts.

Farcasts researches and builds each test, you approve the drafts.
Generating variants is included, so no credits count down.
A holdout runs beside the bandit, so you still see the true lift.
One tag covers the ads, the pages and the journey between them.

Questions people ask.

Yes. Optimizely's Opal agent generates variations of text, styles, layout and custom code. Optimizely's documentation then asks a person to preview and save each variation. Farcasts generates the variations and builds the experiment around them, and your team's step is to comment on the draft and approve it.

Optimizely's support documentation says Web Experimentation can occasionally show the original page before the variation, and it recommends ways to reduce that. Farcasts serves the chosen variant at first paint, so no script has to hide your page while the variant loads.

Optimizely does not publish a price. Their plans page says every plan is packaged and quoted individually, and Opal features draw on a pool of credits each time they call a model. Farcasts prices each site case by case, and starts with a four week pilot on a fixed scope.

Optimizely's Stats Accelerator needs an experiment with at least three variations, a primary metric and a distribution choice before it helps. Farcasts is built for websites with less traffic than that. Farcasts moves visitors toward the variant that is winning instead of holding an even split for weeks.

Yes. Farcasts installs with its own tag and needs no access to your Optimizely project. Scope each product to different pages, so two systems never split the same traffic. Farcasts runs on the marketing site while your existing programme carries on where it is.

Other comparisons

Sources, retrieved September 2026

Try it on your own site.

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The pilot runs four weeks on a fixed scope. Farcasts sets everything up, the agents propose the work, and you approve it. A holdout runs from the first day, so you can see what the four weeks were worth.