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Prompt

split testing software

Technology / AB Testing & Experimentation1 observationLast seen Oct 13, 2026

Latest observation

Oct 13, 2026OpenAI APIWeb search: off

If you’re looking for split testing software, here are some of the best options depending on what you want to test:

Popular A/B testing / split testing tools

  • Google Optimize alternatives: Google Optimize was discontinued, so people often use:
    • VWO
    • Optimizely
    • Convert.com
    • AB Tasty
  • Landing page / website testing
    • Unbounce
    • Instapage
    • Landingi
  • Email split testing
    • Mailchimp
    • ActiveCampaign
    • Klaviyo
    • ConvertKit
  • Product / app experimentation
    • Optimizely
    • LaunchDarkly
    • Statsig
    • Firebase A/B Testing

What to look for

  • Easy experiment setup
  • Reliable traffic split
  • Goal tracking / conversions
  • Statistical significance reporting
  • Heatmaps/session replay
  • Integrations with analytics and CRM tools

Best choice by use case

  • Small business / marketing site: VWO, Convert.com
  • Enterprise: Optimizely, AB Tasty
  • Landing pages: Unbounce, Instapage
  • Product teams / developers: Statsig, LaunchDarkly, Firebase

If you want, I can also give you:

  1. a top 10 comparison table,
  2. cheap/free split testing tools, or
  3. the best tool for your specific use case.

Brands

Google OptimizeVWOOptimizelyConvertAb TastyUnbounceInstapageLandingiMailchimpActiveCampaignKlaviyoConvertkitLaunchDarklyStatsigFirebase A B Testing

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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