Grow profit per visitor with an agentic experience platform that feels conscious.

Profit

Increased by up to 22.61% in 3 months

Return on Investment

Up to 100x in 30 days

Rules decay, intelligence
adapts.

Your audience mix is constantly changing, our patent pending solutions ensure your strategies and storefront autonomously adapts with them.

Agentic search
A better way to discover.
01
Step one
Search anything
Text, images, or both.
02
Step two
Instant text reasoning
Understands what the shopper means in real time.
03
Step three
Hyper relevance
Irrelevant products are filtered out so only the strongest matches remain.
Shopper query Live example
Step 1
Language agnostic.
pants/trousers
sneakers/trainers
shirt/top
English Español Français Italiano
Image and text prompting.
Eg. “find furniture for my space”.
Visual + text queries
Step 2
Understands shopper intent in real time.
Context
Intent
Preference
Product fit
Step 3
Best result
Barrier Repair Night Cream
Best match for the shopper’s request.
Hyper relevance
Irrelevant products are discarded.

Built for tomorrow, today

With innovation moving so quickly, it's essential that your tech stack can advance with it.

Comparison
Legacy Apps
Latest Search Models AI embedding models handle queries like "bedside table with two drawers" or "black dress with pink roses" by analysing products and images to create a conceptual map, this goes far beyond simple keyword based matching, and removes the need for manual synonyms. Any keyword match shows as a result, resulting in a cluttered list of results with highly irrelevant products mixed in.
Out of Stock Handling Understands that a Nike Air Force 1 is conceptually similar to an Adidas Forum Low, if stock runs out you can continue selling the next best thing with no manual input needed. Returns no results.
Natural Language Processing Can understand questions, vague queries, and natural language, utilises LLM reasoning to find the best products for each customer. Some apps may seem like they're processing natural language, where as they are actually simply showing any matching products for any keyword in a query.
Best Practice Built for Shopify with app extensions and plug and play components. Often utilises iframes to inject content, this can negatively affect core web vitals and SEO.
No Hidden Paywalls All features are available on all plans. Often locks features behind additional paywalls and plans.
AI First Uses the latest technology in AI for each and every search. Often only utilises AI during indexing (not per search), or uses a pre LLM era definition of AI.

Agentic A/B decisioning optimises to find what works for your current users, not last months

Define business goals, like increasing AOV for new customers, and deploy custom AI agents that work autonomously to achieve them, turning your objectives into automated, real-time CRO.

Move beyond simple A/B tests that find one "winner". Your agent simultaneously tests multiple variations across each stage of user intent, identifying and serving the most effective experience for each current customer, not last months.

Our AI agent hooks into any app block directly within the Shopify customizer, whether it’s a core feature, a third-party app, or your own custom code, giving you maximum agentic optimisation potential.

Merchant Feature

★ ★ ★ ★ ★ — Shopify App Store

"I can honestly say we couldn’t be happier with the results... We’ve already seen a significant increase in search clicks, add-to-carts, and conversions."

Automated upsells
Save time with agentic bundles.
01
Step one
Analyse and select upsells
Show the product, reveal upsells, lock winners.
02
Step two
Learn and adapt to stock
If laces sell out, swap to a brush.
03
Step three
Suggest gaps
Ask the merchant to restock laces.
Avg. upsell win rate
16.7%
Avg. multi-item order rate
21.54%
Step 1
Agents find the perfect matches.
Running Sneakers
The agent reviews this PDP and picks the best complements.
Upsell
Sports Socks
Upsell
Spare Laces
Upsell
Cleaner Brush
Upsell
Insoles
Step 2
Eve learns and adapts to stock.
Learns which upsells win, then switches automatically when one sells out.
Machine learns
Socks and laces win most often.
Stock aware
Spare Laces
3
Stock running down.
Cleaner Brush substituted in.
Step 3
Highlights when the best options aren't available.
Suggested to merchant
The best option has sold out.
Restock recommended
Recommended product
Spare Laces
High win rate
Sneaker upsell

Agentic Merchandising

Agents use real-time store data and performance tracking to predict the ideal product order for your business goals, from clearing inventory to maximizing profit, driving conversions, and everything in between.

Surface products and concepts shoppers have shown interest in with ultra fast, real-time AI personalization, making it easier than ever to reconnect, discover, and convert.

Unlike other platforms there is no limit to how many filter trees you can create.

Tuned AI Personalization

Get AI personalization that understands a view doesn't always equal interest, Parallels AI tailors each users experience to bring products they're most likely to be interested in to the forefront, all within a few milliseconds.

More AI
Features

Agent Insights

Learn what products you should obtain to increase AOV

Product Enrichment

Enrich products with AI Key Features and Product Summary blocks

Colour Grouping

Declare your own custom colour groups and let AI handle the hard work with the ability to add image swatches

Book a demo