Google Optimize Alternatives: What to Use in 2025

RIP Google Optimize. You had a good run. You were simple, free, and gave us a taste of what A/B testing could be without annihilating our budgets. But as of September 2023, you’ve officially joined the Google Graveyard alongside Google+, Reader, and Inbox.

That was 3 years ago. The market that rushed in to fill the gap looks nothing like it did then.

Prices at the enterprise end have gone up. A few genuinely cheap tools have shown up. And AI has gone from a bullet point on a feature list to the thing that decides whether you can actually test at the pace your site needs.

So if you’re one of the many marketers, SEOs, or curious content optimizers asking, “What are the best Google Optimize alternatives?“, don’t panic. Whether you’re running conversion tests on headlines, buttons, or full-blown landing pages, there are plenty of tools out there to take the reins.

I’ve put 8 of them side by side below. Real pricing, honest notes on who each one suits, and a straight answer on when you shouldn’t pick us.

The short answer

If you want the quick version:

• Best free option: PageTest.AI. 10,000 test impressions free, no card, no developer.
• Best for no-code marketers: PageTest.AI or Varify.io
• Best for developers and product teams: PostHog
• Best for big enterprise programmes: Optimizely or AB Tasty
• Best for privacy and compliance: Convert.com
• Best if you already live in Zoho: Zoho PageSense
• Best all-round paid platform: VWO
• Best for high traffic on a fixed budget: Varify.io, because it doesn’t price by visitor

What actually happened to Google Optimize

Google pulled the plug on 30 September 2023 and pointed everyone at GA4 and its integration partners. The official line was a shift toward GA4 and AI analytics instead of manual experimentation tooling.

What that meant in practice: thousands of small businesses who had been testing for free suddenly got quoted enterprise prices. I remember the panic in the SEO forums that autumn. People were genuinely stuck.

That gap is why most of the tools on this list look the way they do now.

PageTest.ai (yes, we’re biased, but hear us out)

PageTest.ai launched in May 2025, and it’s built specifically for anyone who wants a free, powerful, and simple way to A/B test website content. It’s ideal for marketers, SEOs, content creators, and small business owners who need to test fast and iterate even faster. It’s also pretty fun. Think of it like creating your own experiments right on the screen in front of you.

What makes it different

• Free up to 10,000 test impressions a month
• AI writes the content variations for you (handy when you’re not feeling your most creative)
• A Chrome extension so setup takes minutes
• A WordPress plugin if you’d rather not touch code at all
• No dev skills needed to run a test
• A clean dashboard that tells you what’s winning

We built PageTest because, frankly, we were frustrated by the clunky interfaces, incredibly high costs, and restrictive plans offered by other Google Optimize alternatives.

The free tier is properly free, not a 14 day countdown with a credit card attached. That was the whole point. We were replacing something that cost nothing. Paid plans kick in at $49 a month if you outgrow it, and you can see the rest on the pricing page.

“Businesses that test landing pages and CTAs at least once a month see a 55% higher lead conversion rate than those that don’t.” HubSpot 2025

The 8 alternatives compared

Pricing checked August 2026.

Every tool, in more detail

1. PageTest.AI

Built for the exact crowd Optimize served. You pick an element on the page, the AI suggests variations, and it tracks clicks, time on page and scroll depth. 10,000 test impressions a month, free.

Good at: getting a test live in about 10 minutes, and writing the variants so you don’t have to stare at a blank box.

Not good at: server-side experimentation or feature flags. We test what’s on the page.

2. VWO

The most complete mid-to-enterprise platform here. Visual editor, heatmaps, session recordings, multivariate testing, multi-armed bandit allocation. There’s a free plan to poke around in, but the paid tiers are quote-only.

Good at: depth. If you want a feature, VWO probably has it.

Not good at: telling you what it costs before a sales call. And I think most small teams would drown in the feature set.

3. Optimizely

Enterprise experimentation with feature flagging, server-side testing and personalization. If you’ve got engineers embedded in your testing programme and a budget to match, this is the category leader.

Good at: everything, technically.

Not good at: being a sensible replacement for a free tool. This is a different sport.

4. Convert.com

Built around GDPR and CCPA compliance, which makes it the default pick for agencies and anyone with strict data rules. Growth is $399 a month, or $299 billed annually. 15 day trial, no card needed.

Good at: privacy, and publishing its prices where you can see them.

Not good at: easing you in gently. It’s a big jump from free.

5. AB Tasty

A/B and multivariate testing, personalization, and a big integration list. Aimed at marketing departments rather than engineering teams.

Good at: support. People rate it highly.

Not good at: pricing you can plan around without talking to sales.

6. Zoho PageSense

Split testing, heatmaps and funnel analysis, with a forever-free plan up to 5,000 monthly tracked users. Worth knowing before you commit: A/B testing and split URL testing sit on the Enterprise tier, not Professional. That caught me out when I first looked.

Good at: value, especially if you’re already paying Zoho for other things.

Not good at: standing on its own outside the Zoho world.

7. PostHog

Experiments come bundled with feature flags, plus product analytics and session replay in the same tool. The free tier covers 1 million feature flag requests a month, then it’s usage-based.

Good at: being genuinely free at a scale most tools would charge for.

Not good at: hand-holding. This is an engineer’s tool. If your team doesn’t have one, skip it.

8. Varify.io

A visual editor testing tool with flat-rate pricing and no traffic limits. That matters more than it sounds. If you’ve got 500,000 visitors a month, per-visitor pricing gets brutal fast.

Good at: predictable bills.

Not good at: matching VWO or Optimizely on features.

What to look for in a Google Optimize alternative

Not every testing tool will suit every team, but here’s what to keep in mind as you choose:

• Ease of use. If you need a dev just to run a test, it’s probably not for you.
• Pricing transparency. Many tools keep their costs behind closed doors (and when they open them you’ll wish they closed them again).
• Speed to launch. You shouldn’t have to wait a week to test one CTA.
• Integrations. Make sure it plays nice with your analytics and CMS.
• Support. Whether it’s live chat or a Slack community, help should be available when things go sideways.
• How it charges. Some price per tested visitor, some charge flat. Under roughly 10,000 monthly visitors, per-visitor usually wins. Above that, flat rate starts looking a lot better.
• Stats you can trust. Check how it calculates significance and whether it stops you calling a winner on day 2. Our guide to A/B testing sample size covers why that matters more than people expect.

And if you’re just starting out, or you want to test your way into something more ambitious, a simple plan like PageTest’s is a great way to go.

“If you’re not testing, you’re not learning, and if you’re not learning, you’re just guessing.” Peep Laja (CXL)

When PageTest.AI is the wrong choice

I’d rather tell you now than have you sign up and find out in week 2. Give us a miss if:

• You need server-side or feature-flag testing. Rolling backend features out to percentage cohorts is PostHog or Optimizely territory.
• You want a proper personalization engine. Segment-based dynamic content at scale belongs to AB Tasty and Optimizely.
• You’re running a formal experimentation programme. A dedicated CRO team with dozens of concurrent tests and governance rules will be happier on VWO.
• You have very little traffic. Under about 1,000 visitors a month to the page you want to test, no tool on this list will reach significance in a useful timeframe. Go and get traffic first.

What we’re good at is fast, no-code content and headline testing for people who want to stop guessing without hiring anyone. That’s the job Optimize used to do.

When you should be testing

Still wondering whether it’s worth setting up A/B tests in the first place? Here are a few scenarios where a Google Optimize alternative like PageTest.ai is especially handy:

• You’re not sure whether “Download Now” or “Get the Free PDF Guide” performs better.
• Your homepage bounce rate is higher than your coffee budget.
• You have blog traffic but no conversions.
• You’re about to launch a new landing page or sales funnel.
• Your boss keeps asking for “data” to back up your creative genius.

“Structured A/B testing programs can increase conversion rates by up to 300% over time.” Invesp (2025)

Be realistic about hit rates though. ConversionTeam audited 2,288 A/B tests across 71 client engagements. About half produced a winner, but only 19.1% reached statistical significance on the primary metric.

So testing works through volume and iteration. You run 20 tests, 4 of them tell you something real, and those 4 pay for the other 16. Which is exactly why cost per test matters so much. A tool that lets you run 20 cheap experiments beats one that lets you run 3 expensive ones.

Bottom line? If you’re guessing, you’re probably leaving conversions on the table. (And having data to back you up makes you feel good.)

Moving off Google Optimize

If you’re only getting round to this now, the migration takes an afternoon:

1. Rip out the old Optimize snippet. It’s dead code and it’s slowing your pages down. Check your theme header, Google Tag Manager, and any caching layer.
2. Export whatever test history you can still reach. Most of it is long gone, but any notes you kept are worth holding onto as a baseline.
3. Reconnect GA4. Point your new tool at the existing property so results land where you already look.
4. Re-run your best old test first. Starting with something you’ve already run tells you whether the new setup is wired up correctly.
5. Pick one metric and stick to it. Optimize let you track several, and that’s how people ended up with unreadable results. See common A/B testing mistakes for the rest of the traps.

Final thoughts

While we’re still mourning the loss of Google Optimize (okay, kind of), the silver lining is that we’ve entered a new era of smarter, leaner, and more flexible testing tools. 3 years on there are more affordable options than there were the day it closed. And AI has taken the effort out of the part people always found hardest, which was thinking of what to test next.

If you want something free, AI-powered, and that doesn’t need a PhD in JavaScript, PageTest.ai is here and ready for action.

So if you’re serious about your website and the kind of results you can brag about in a Monday meeting, don’t just sit there. Start testing today.

FAQs about Google Optimize alternatives

1. Why did Google shut down Optimize?
Google ended Optimize to focus on GA4 integrations and AI-driven analytics, shifting away from manual A/B testing. It closed on 30 September 2023.

2. What’s the best free alternative to Google Optimize?
PageTest.AI offers a generous introductory plan (10,000 monthly test impressions) with AI-generated content variations and no-code setup, which suits marketers and small teams. PostHog and Zoho PageSense also have free tiers, though PostHog is really aimed at developers.

3. Are paid A/B testing tools worth it?
Yes, for larger organizations that need heatmaps, personalization, or advanced reporting. Most small businesses can get everything they need from lighter, AI-powered platforms.

4. How does AI improve modern testing tools?
AI can generate and refine copy, CTAs, and layouts automatically, so you find winning combinations faster without endless brainstorming.

5. Can I still use GA4 for tracking test results?
Yes. Most alternatives (including PageTest.AI) plug into GA4, so you can watch performance inside the analytics setup you already use.

6. What is the closest tool to Google Optimize?
In spirit, PageTest.AI. Free tier, visual no-code setup, GA4 integration. On feature depth, VWO gets closest, though it isn’t free past its limited plan.

7. How much traffic do I need to run an A/B test?
Roughly 1,000 visitors and 100 conversions per variation before the numbers mean much. Below that, tests take too long to reach significance. Our sample size guide shows you how to work it out properly.

8. Can I A/B test without hurting my SEO?
Yes. Google supports A/B testing and doesn’t treat it as cloaking, as long as you show search engines the same content as users and you don’t leave tests running forever. A/B testing and SEO has the detail.

9. What’s the difference between A/B testing and multivariate testing?
A/B testing compares 2 versions of one element. Multivariate testing changes several elements at once to find the best combination, and it needs a lot more traffic. Our comparison guide covers when each one makes sense.

Whichever you pick, the habit matters more than the tool. Choose something you’ll actually open on a wet Tuesday afternoon, and start with your headlines. They’re the first thing anyone reads, and usually the cheapest thing on the page to change.