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Dalton

AI co-pilot for website optimization. Generates experiment ideas and variants, and you stay in control: choose what to run, edit suggestions, prompt your own ideas, approve everything before it goes live.

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For agents: AI co-pilot for website optimization that generates experiment ideas and variants, with human approval before launch; includes pricing, FAQ, glossary and case s

conversion optimizationab testingwebsite experimentscroai co-pilot

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llms.txt
https://www.getdalton.com/llms.txt
llms-full.txt
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Marketing · AI and machine learning
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2026-10-19T10:40:55.508Z
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The beginning of the file, from our validated copy saved 2026-10-22T09:45:15.901Z. Cached copy · Source on getdalton.com

# Dalton

> AI co-pilot for website optimization. Generates experiment ideas and variants, and you stay in control: choose what to run, edit suggestions, prompt your own ideas, approve everything before it goes live.

Website: https://getdalton.com
Docs: https://docs.getdalton.com
Contact: team@getdalton.com

## Key Facts

- Category: AI Website Optimization, CRO, A/B Testing
- Founded: 2025, Ghent, Belgium
- Founders: Vincent Declercq (CEO), Ward Van Laer (CTO)
- Funding: €1M seed (Syndicate One + leading SaaS/e-commerce founders)
- Min traffic: 3,000–5,000 monthly visitors per page
- Time to results: 2–4 weeks (vs 3–4 months traditional A/B testing)
- Performance: sub-50ms, no impact on Core Web Vitals or SEO
- Free trial: 1 month, full functionality
- Platforms: works on any website: Shopify, WordPress, Webflow, Magento, Framer, Wix, Squarespace, BigCommerce, PrestaShop, GoDaddy, and custom stacks (React, Vue, Lovable, etc.)

## How It Works

1. Install one JS snippet (1 min, like Google Analytics)
2. Dalton scans your site and suggests experiment ideas
3. AI generates on-brand variants matching your voice and design
4. You review, edit, or prompt your own, then approve before deployment
5. Smart traffic funneling shifts visitors to winning variants
6. Dalton suggests next experiments based on learnings, and you decide what runs

## vs Traditional A/B Testing (VWO, Optimizely)

- Variant creation: AI-generated & editable (vs manual, needs dev/design)
- Time to results: 2–4 weeks (vs 3–4 months)
- Min traffic: 3K–5K visitors (vs 50K–100K+)
- Developer needed: No, after 1-min install (vs yes, for each variant)
- Simultaneous variants: 100+ (vs 2–4)
- Traffic allocation: Smart auto-shift to winners or traditional 50/50

## Pages

- [Pricing](https://getdalton.com/pricing.md)
- [FAQ](https://getdalton.com/faq.md)
- [Glossary](https://getdalton.com/glossary.md)
- [Full site content](https://getdalton.com/llms-full.txt)

## Reviews

- 4.6/5 from 8 reviews on [G2](https://www.g2.com/products/dalton/reviews)

> "I really like Dalton's prompting functionality, which is really good for generating experiments. It's really easy to use, and most proposed experiments look great. The click-through rate improvement is great and inline with our target. Dalton eliminates the need to write tickets for every small change, giving marketing much more autonomy."

## Case Studies

- [Reima: From zero to 100+ live experiments in four weeks](https://getdalton.com/case-studies/case-reima.md)
- [Van de Velde: How a lean CRO team runs continuous experimentation across three brands and twenty locales](https://getdalton.com/case-studies/case-vandevelde.md)
- [In-Shape Family Fitness: In-Shape lifted its conversion rate 14% with zero developer hours](https://getdalton.com/case-studies/case-inshape.md)
- [Bella Coterie: Bella Coterie Increased Conversions by 10.5% in 3 Months](https://getdalton.com/case-studies/case-bellacoterie.md)
- [Aikido: Aikido drives more free trials t
…

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