Search shows products, Aiden gives advice

Today's AI chatbots can hold a conversation, but they're not built to sell. They recognize intent and generate responses, but they have no commercial rules, no product logic, and no real accountability for what gets recommended.

Aiden is different. It combines the conversational fluency of AI with a structured advice model: your product knowledge, your commercial priorities, and your category logic — all captured once, applied consistently every time a shopper asks.

The result isn't a chatbot. It's a digital advisor that knows what fits, knows what you want to sell, and guides shoppers to a confident decision without going rogue.

Many teams have tried to wrap an LLM around their product catalogue and call it done. What they quickly discover is that you can't control what it recommends — or why. And for e-commerce, that's a fundamental problem: generic AI doesn't know what you actually want to sell.

It doesn't know your margins, your stock levels, your brand priorities, or the nuanced way your category experts think about product fit. It can hold a conversation, but it can't reliably apply your commercial logic. And because it's working from general knowledge rather than your specific catalogue, it will hallucinate or recommend the wrong product — confidently.

Aiden is different. It's built on a structured advice model: your product knowledge, your commercial rules, and your category logic, captured once and applied consistently every time a shopper asks. AI handles the conversation. Your expertise drives the recommendation.

The result is advice that feels natural to the shopper and is fully under your control as a business.

Instead of a generic AI model, Aiden's advice starts with your expertise. You define how your products score against each customer need — from perfect fit to poor match — and layer in your commercial priorities on top. That structured logic is what Aiden draws from every time a shopper asks for help.

When a shopper answers a question, Aiden scores every relevant product against their responses in real time, ranks them by total fit, and surfaces the best matches — with an explanation of why each product suits them. Not a list of specs. Actual advice.

Because the logic lives in your advice model rather than in prompts or hard-coded rules, it scales automatically: new products get scored as soon as they're added to your catalog, and updates to your advice logic apply across all your flows at once.
The result is recommendations that feel personal to the shopper and are commercially sound for your business — without the unpredictability of pure AI.

Product filters and basic recommendation engines focus on products and their specs. Aiden focuses on shoppers: starting from the customer’s point of view and asking use-based questions to figure out which product best fits their needs.

Instead of “What specs do you want?”, Aiden asks “What problem are you solving?”, and translates that into smart product matches. Just like in an offline store, this type of personal guidance builds clarity and trust in the buying process. That’s how you turn confusion into confidence and browsers into buyers.

Where most tools offer a simple wizard to filter products, Aiden’s AI product advice platform lets you build scalable, high-quality product finders and advice agents that deliver measurable impact, from day one. With over 4,000 live advice flows across Europe and insights from 200+ online stores, Aiden gives you the expertise, data and technology to turn confusion into confident choices.

Yes, and it should. The most valuable placements are where doubt hits. Think of category pages, product detail pages, and even your service chatbot or newsletter. Each placement helps shoppers at a different point in their buying journey.

With Aiden you can offer truly personal product advice anywhere in your store and beyond: place a product finder on category pages (lister pages), a product check on product detail pages (PDP), and optimize your landing pages with product advice for SEO and GEO purposes. You can choose to integrate Aiden as an in-page app, sidebar app or pop-up app. 

Both are advice flows that help shoppers make confident choices, but they serve different moments in the buying journey. A product finder flow helps answer the question “Which product suits me?”. It guides shoppers from exploration to the right match, usually on a category or landing page.

A product check flow answers “Does this product suit me?”. It lives on the product detail page and helps visitors decide whether the item they’re viewing is truly right for them.

Because most paid traffic lands directly on PDPs, adding a product check means you reach more uncertain shoppers, speed up their decision-making, and reduce returns, all without additional setup (as it runs on the same AI advice logic as your product finder flows).

Every interaction in an advice conversation helps you learn more about your shoppers. You’ll get insights into their needs, preferences and buying intent. By integrating Aiden with your CRM or CDP, you can send more relevant and personalized follow-ups.

Think of a shopper who uses a sunscreen product finder. You can instantly add this shopper to a targeted summer skincare campaign. And that’s not all. You can also send their personal product advice to their inbox and follow up later if they aren’t yet ready to buy.