Clerk.io

AI-Powered Search That Understands Intent

Clerk.io's search engine uses AI to understand shopper intent, even with typos or vague queries. It combines behavior, sales data, and availability to deliver hyper-personalized results and eliminate zero-result dead ends.

Higher conversion rates from onsite search, as evidenced by Firtal Group's CEO reporting immediate conversion improvements.

Adaptive Upselling and Cross-Selling

Powered by customer behavior, orders, and catalog data, Clerk.io's AI recommends the most relevant products for each shopper across key touchpoints, adapting in real time.

Increased basket sizes and revenue without additional ad spend — Hairlust saw a 0.8 product increase in average basket size and €21,000 in additional revenue in 30 days.

Generative AI Chat for 24/7 E-commerce Support

Clerk.io's Chat is built specifically for e-commerce, helping visitors find products, get answers, and gain purchase confidence around the clock. It's described as the world's first generative and predictive AI-powered chatbot.

Olympia Sport added €22,000+ in sales from AI Chat, with the chatbot acting as an always-on support agent.

Automatic High-Intent Audience Segmentation

Clerk.io's AI builds high-performing segments from real behavior and purchase intent, which can be used for revenue-generating emails and Lookalike Audiences in Meta and Google Ads.

Users gain deep customer journey insights and can target the right shoppers automatically, leading to more effective ad campaigns.

Personalized Product Emails That Update in Real Time

Clerk.io automatically selects and inserts AI-driven product recommendations into emails, updating them dynamically when opened to ensure content is always fresh and relevant.

Med24 saw a 32% higher click-through rate with Clerk's automated email recommendations compared to manually selected products.

Seamless Integration with 20+ Major E-commerce Platforms

Clerk.io integrates with Shopify, WooCommerce, Magento, PrestaShop, and 20+ other major platforms, making it easy to deploy across your existing tech stack.

Shop owners and e-commerce managers worldwide can personalize at scale without complex setup, driving profitable growth.

• Proven Revenue ImpactClerk.io states it has generated billions in extra profits for e-commerce businesses, with a live counter showing €2,949,417 in revenue generated for customers on the day of the scrape. Customer examples include Philip powering 25% of his sales, Jørgen adding €22,000+ in sales from AI Chat, and Mary increasing e-commerce revenue by 33%.
• AI Trained on 15 Years of E-commerce DataClerk.io's AI is trained on 15 years of e-commerce data from millions of successful conversions. Once connected, it learns your catalog, customers, and competitors, then applies that intelligence across search, recommendations, chat, audience, and email.
• Modular and Scalable PricingClerk.io offers a modular pricing model where you pay only for what you use, with options for Search, Recommendations, Chat, Email, and Audience. You can add more products at any time, and the more you use, the cheaper it gets per unit. Pricing is available in GBP, DKK, EUR, and USD.
• Customer Success StoriesThe website features multiple customer testimonials, such as Rasmus from Hairlust increasing basket size by 0.8 products and adding €21,000 in additional revenue in 30 days, and Andreas from Uniq Perler lifting basket size by 26%. These are presented as evidence of the platform's effectiveness.

• Revenue Figures Are IllustrativeThe €2,949,417 revenue figure is described as 'generated for our customers today' and may represent a cumulative or sample figure, not a guarantee of your results. Individual results vary, and the site does not provide a methodology for how this number is calculated.
• Pricing Requires Contact for Higher TiersWhile the pricing calculator shows base prices for various usage levels, many higher tiers (e.g., over 2,500,000 searches, 10,000,000 recommendations, 25,000 conversations, etc.) require 'Contact Us for Quote.' The exact cost for these tiers is not publicly listed.
• Claims of 'World's First' Are UnverifiedClerk.io describes its Chat as the 'World's first generative and predictive AI-powered chatbot' and its Email as 'data driven and intelligent emails on auto-pilot.' These superlative claims are not independently verified and should be taken as marketing statements.
• Integration and Service Details LimitedThe scraped content mentions 'Platform integrations' and 'Service plans' but does not list specific platforms or service levels. The pricing page mentions 'B2B pricing' with 'customized platform setups' but provides no details on what that includes or costs.

AI-Powered Site Search

Clerk.io's AI search understands shopper intent, even with typos or vague queries, delivering hyper-personalized results and eliminating zero-result dead ends. It combines behavior, sales data, and availability to boost conversions from onsite search, as seen with Firtal Group.

Personalized Product Recommendations

Clerk.io's AI analyzes customer behavior, orders, and your catalog to recommend the right products for each shopper. This drives upselling and cross-selling, increasing basket size and revenue without extra ad spend. Hairlust saw a €21,000 revenue lift and 0.8 more products per basket.

24/7 AI Chat for E-commerce

Clerk.io's Chat, built specifically for e-commerce, helps visitors find products, answers questions, and boosts purchase confidence around the clock. It lightens support workload during peak times and has generated €22,000+ in sales for Olympia Sport.

Smart Audience Segmentation & Email

Clerk.io automatically builds high-performing customer segments based on real behavior and purchase intent, which can power Lookalike Audiences in Meta and Google Ads. Its email tool sends personalized product recommendations that update dynamically on open, achieving a 32% higher click-through rate than manual emails for Med24.

Define the exact aI Recommendation Systems tools workflow Clerk.io should support.

Compare it with closely related AI tools in the same category before committing.

Set review rules for accuracy, privacy, brand voice, compliance, and final approval.

Connect useful outputs to the wider stack instead of leaving them inside the AI tool.