Ideas grounded in real intelligence. Tests built to run. Results that tell you why.
Most CRO tools give you a blank canvas and leave you to figure out what to test. VariFlask starts by doing the research for you — studying your specific context before generating a single suggestion.
Before recommending what to test, our AI analyses five layers of context:
Connect GA4 and Google Search Console (more integrations coming) and your real traffic patterns, conversion data, bounce rates, and keyword opportunities flow directly into idea generation. We surface the specific pages leaking conversions and the queries bringing visitors who aren't converting — so every test suggestion is grounded in your actual numbers, not assumptions.
Page structure, content hierarchy, conversion flows, existing CTAs, and user journey gaps — analysed in detail.
Benchmarks, typical conversion patterns, and what high-performing sites in your vertical consistently do right.
Publicly available positioning, messaging strategies, and UX patterns your competitors are using to convert visitors.
Hundreds of proven testing frameworks, hypothesis patterns, and conversion principles — applied to your specific context.
The result: a prioritised experiment backlog where every idea has a clear rationale — grounded in your real data, not generic templates. See the A/B test ideas generator with real before/after examples. No other A/B testing tool feeds your GA4 and Search Console data directly into idea generation. Each hypothesis is specific to your site, your audience, and your actual numbers.
Most A/B testing tools — Optimizely, VWO, AB Tasty — count an “impression” the moment a page loads, even if the visitor never scrolled down to see your change. This dilutes your data and slows down your ability to reach meaningful results.
VariFlask uses the browser’s IntersectionObserver API to only count an impression when your change actually enters the visitor’s viewport. This follows IAB/MRC viewable impression standards — the same standards used in digital advertising.
The result: no diluted results, faster statistical significance, and more accurate data.
Counts visitors who never saw your change
Only counts visitors who actually saw it
Other tools have heatmaps (Hotjar, Crazy Egg) or A/B testing (Optimizely, VWO) — but never both tied together. VariFlask tracks per-element engagement metrics directly tied to each variant:
How long visitors linger on changed elements
Mouse attention signals on each element
How far visitors scroll in each variant
Per-element clicks tied to each variant
This tells you not just if a variant won, but why — did visitors spend more time reading the new headline? Did they hover over the CTA more? No other SMB A/B testing tool does this.
AI analyzes your live site and generates specific, actionable A/B test hypotheses. Each idea comes with pre-configured goals — the AI identifies what to measure (signup clicks, form submissions, page visits) with the exact CSS selectors and URL patterns.
One click on “Test This” takes you from idea to running experiment. Ideas are delivered on a schedule you choose — daily, weekly, or on demand.
“Replace the hero headline with a benefit-driven version emphasizing free trial. Hypothesis: visitors respond more to value propositions than feature descriptions.”
Pick a page, pick the element types you want optimised, and launch one Continuous Loop. The loop runs forever as a champion-challenger: the current champion competes against an AI-authored challenger, the round resolves with a defensible Bayesian winner, the winner becomes the next champion, the AI authors a fresh challenger, and the loop continues — round after round — until you pause it.
Every round is deliberately conservative. A challenger only gets promoted when it clears all of these:
Wipes out day-of-week effects and the novelty lift that fades in 1–3 weeks.
Bayesian threshold plus a credible-interval lower bound that must exceed zero — the effect has to be positive, not just probable.
Re-runs the previous champion against the current one. False promotions from novelty or seasonal blips get caught and reverted.
If three rounds in a row fail to find a winner, the loop pauses itself and emails you — so credits aren’t silently burned chasing a signal that isn’t there.
The result: an always-on optimization that doesn’t trade away defensibility. Every round is a clean 50/50 between exactly two variants, so you get a per-round “X beat Y by Z%, P > 0.95” claim you can put in a report — not the shifting traffic allocation of a multi-armed bandit. Online false-discovery-rate control keeps the loop’s lifetime FDR at or below 10%, even after dozens of rounds. No other SMB A/B testing tool ships always-on AI-authored loops like this.
See how Continuous Loops work →VariFlask is the only A/B testing platform built to be driven by AI agents. Our Agent Gateway exposes 8 agent tools over both MCP (Model Context Protocol) and A2A (Agent-to-Agent Protocol), plus a full 17-endpoint REST API — so assistants like Claude, Cursor, and automation platforms like n8n can run the entire CRO workflow without a human clicking through a dashboard.
Connect once with OAuth 2.1 — clients just need the server URL and a
one-time browser sign-in, with no secret stored in config — or use a static
sk_live_ API key.
Then an agent can:
Add a website, get the tracking snippet, and read AI-analyzed industry, competitor, and keyword intelligence.
Author variant code from a plain-English prompt — e.g. “change the hero price from $99 to $499 and update the Stripe link” — no pre-existing idea required.
Create and launch experiments, then start always-on Continuous Loops — entirely programmatically.
Per-call billing with credit packs (Starter $9/100, Growth $39/500, Scale $129/2,000) — unmetered on Enterprise.
Optimizely, VWO, and AB Tasty give you a dashboard and an SDK. None of them expose a native MCP or A2A agent gateway. VariFlask lets your AI stack do the CRO work end to end.
No p-values, confidence intervals, or statistical jargon. VariFlask translates complex Bayesian statistics into language anyone can understand.
“Variant B is converting 15.2% better. 89% chance it’s the real winner. Still early — need more visitors to be sure.”
Automatic winner detection with configurable confidence thresholds. Designed for marketers and product managers, not data scientists.
10× smaller than VWO/Optimizely — synchronous load, zero content flicker
Loads after page paint — zero performance impact
Sub-5ms latency globally
No impact on Core Web Vitals scores
| Feature | VariFlask | Optimizely | VWO | AB Tasty |
|---|---|---|---|---|
| Site + competitor + industry analysis | ✓ | ✗ | ✗ | ✗ |
| One-click test launch (no-code) | ✓ | ✗ | Requires setup | Requires setup |
| Viewport-gated impressions | ✓ | ✗ | ✗ | ✗ |
| Per-variant engagement metrics | ✓ | ✗ | ✗ | ✗ |
| AI-generated test ideas | ✓ | ✗ | ✗ | Personalisation only |
| Smart goals from AI | ✓ | ✗ | ✗ | ✗ |
| Continuous always-on AI-authored loops | ✓ | Bandit only | Bandit only | Allocation only |
| Native MCP + A2A agent gateway | ✓ | ✗ | ✗ | ✗ |
| REST API access | ✓ | ✓ | ✓ | ✓ |
| Generate variant code from a prompt | ✓ | ✗ | ✗ | ✗ |
| Plain-English results | ✓ | Partial | Partial | Partial |
| Snippet size | ~5KB | ~80KB | ~50KB | ~40KB |
| Free trial | ✓ | ✗ | 30-day trial | ✗ |
| Bayesian statistics | ✓ | ✓ | ✓ | ✓ |
| Pricing | Public, from $9/mo | $50K+/yr | Demo only* | Custom quote |
* VWO and AB Tasty merged in 2026 under Everstone. VWO no longer publishes prices — its pricing page is now “Schedule a Demo,” and AB Tasty has always been custom-quote. VariFlask keeps pricing public and self-serve. Competitor figures are list/estimate ranges from public procurement data and change frequently; verify on each vendor’s site.
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