Get faster, more relevant, and intent-driven product discovery
Understands meaning, not just keywords. Handles UK spelling variations, conversational queries, and complex product searches with precision.
AI-led search reads UK shopper intent in real time, offering accurate recommendations, refined keywords, and smart prompts across the journey.
Ensures that every client sees what matters most to them by offering personalised rankings based on browsing, preference, and purchase history.
Eliminates dead-end searches by offering alternatives, corrected queries, related items, and broader matches.
Supports voice-driven discovery for mobile-first UK shoppers with accurate speech recognition and contextual understanding.
Gain actionable data from search behaviour, clicks, filters, and conversions to continuously improve efficiency and effectiveness.
Our AI-powered search helps to turn UK shopper intent into revenue across the platforms
Smarter Search. Better Revenue.
Delivering faster product discovery, better conversions, and smarter shopping experiences
Industry-specific search experiences designed for impact
A proven, growth-focused approach to intelligent search
With over 15 years of eCommerce expertise, we help UK brands unlock the full potential of AI-powered on-site search.
Our team optimise and implements Bloomreach, Elasticsearch, Algolia, and Klevu to match your unique needs
We helped more than 100+ brands across the UK with their unique needs to deliver scalable, high-performance search.
Our AI-led search implementations typically deliver 30-35% conversion uplift by boosting better relevance, speed, and search accuracy.
Let us help you find the answers to all of your common questions
Three things, mostly. Natural language processing reads what customers actually mean. Machine learning watches behaviour, clicks, skips, and purchases to make adjustments. Semantic search matches meaning rather than phrases. None of these works brilliantly alone. But combined? The difference in search quality is hard to miss.
Keyword matching only gets you so far. A shopper typing "lightweight summer jacket" shouldn't have to use your exact product title, and with AI search, they don't. The system reads intent, serves relevant results, and learns from real behaviour over time. Discovery gets easier. Frustration drops.
AI search helps shoppers find the right products faster by understanding search intent rather than just matching keywords. This improves product discovery and makes search results more relevant. It reduces abandoned searches, highlights related products, and personalises results for different users. When customers find products quickly, conversion rates typically improve.
AI search analyses customer queries, product catalogue data, and browsing behaviour to deliver more relevant results. Instead of matching only keywords, it understands the intent behind a search. The system identifies related products and ranks them based on relevance, popularity, availability, and customer behaviour. As shoppers interact with the store, the AI keeps learning and improves result accuracy over time.
Most retailers implement AI search by integrating their eCommerce store with an AI-powered search engine. This system indexes product data, understands attributes, and learns from customer behaviour to improve search results. It also involves structuring product data, enabling natural language search, and testing results to ensure shoppers find relevant products quickly. Over time, the system keeps learning from searches and clicks to improve accuracy.
AI Search Implementation means upgrading your store’s search bar with artificial intelligence so it understands what shoppers actually want, not just the words they type. It analyses intent, browsing behaviour, and product data to show more relevant results. For example, if someone searches for “warm jacket for winter cycling”, the search may display insulated and windproof cycling jackets even if those exact words weren’t used.
Yes. You can implement AI search with any preferred eCommerce platforms, including Magento, Adobe Commerce, Shopify, BigCommerce and custom platforms without any glitches.
Absolutely. Our solutions support headless, MACH, composable, and microservice architectures, ensuring AI search is working securely and independently in the frontend for delivering unmatched consistency.
No. AI search delivers results in milliseconds using optimised APIs, edge caching, and global CDN layers, for boosting perceived performance and minimising bounce rate.
Yes. AI-powered NLP models support 30+ languages and adapt to UK-specific spelling, phrasing, and search intent, making them ideal for multi-region and cross-border eCommerce stores.
Yes. Our AI search solutions are built for enterprise-scale catalogue sand can efficiently manage thousands, even millions of SKUs with ease.
Yes. It automatically fixes zero-result searches with typo correction, broader matches, related product suggestion, synonym mapping and dynamic alternatives, helping to reduce lost revenue from dead-end searches.
Magneto comes with 15+ years of enterprise commerce experience, platform-agnostic AI search implementation, and proven ability to increase conversions through faster, more relevant on-site search. Hence, UK brands trust us to implement AI search with ease.