Your store is leaking shoppers.Frontic is the leverage to hold them.

Your shopper searches “something warm for a powder day.” Your catalog has no products called that. Most stores send them away with zero results — and you've already paid for that visit in CAC.

Frontic reads intent. “Something warm for a powder day” surfaces 3-layer shells, insulated pants, mirror-lens goggles. “Kit for gate training” surfaces race jackets, carbon poles, race-stock skis. Long-tail queries become high-intent recoveries instead of dead ends.

When shoppers express constraints — “men's race jacket under €1,000, in stock” — Frontic extracts the structure automatically. Filter, sort, search, all from one sentence. Multilingual by default: the same query in German surfaces the same race jacket.

Some shoppers know exactly what they want and type it. Most don't. Frontic gives those shoppers a conversation, not a search box.

A shopper says “Looking for something for my partner — she races slalom” and your store asks the right next question, narrows the options, lands on a recommendation that converts. Like a smart lift-line concierge who never sleeps, speaks every language, and remembers their last visit.

Recommendations are the highest-ROI surface in ecommerce. Most brands either pay a vendor $30–200K a year for them, or skip them entirely. Frontic ships them natively — and tunes them to what your business actually wants. “Push in-stock items first.” Done. “Cross-sell from this category.” Done.

Same store, same query, different shopper → different results. A first-time visitor browsing budget items sees budget items. A repeat customer who buys premium sees the premium line. Your store stops treating every visitor like a stranger.

Most brands spend more on photography than on customer support. And most have zero data on what actually works. Frontic reads what's in every product image you publish — model shot vs flat-lay, lifestyle vs studio, saturation, composition — and correlates it with your conversion data.

The patterns your team has been guessing at for years, Frontic finds them. Your photography spend becomes a measurable lever, not a vibe.

And shoppers discover visually too. Upload an Instagram screenshot. Tap “more like this” on any PDP. Surface what fits — even if your catalog never used those exact words.

Right now, somewhere, a shopper is asking ChatGPT for a 3-layer shell for a Dolomites tour. Asking Gemini to compare race skis by waist width. Telling Google AI Mode to find heated boots under €1,000.

Three different AI surfaces. Three different protocols — OpenAI's ACP, Google's UCP, Anthropic's MCP. Most stores can't speak any of them. Frontic speaks all three.Your catalog shows up wherever your shopper's AI is asking.

Brands that establish protocol presence in H1 2026 capture AI-driven traffic before their competitors even start the integration project.

Every search, every click, every purchase on your store flows through Frontic as a first-party event. Your top zero-result queries surface every week. Your highest-bounce PDPs get flagged before you have to ask. None of this data leaves your account — it powers Frontic's intelligence on your store, and nobody else's.

And most catalogs leak conversions in three places: missing attributes, inconsistent descriptions, half-finished SEO meta. Frontic reads every product as it lands — text, images, source feed — and fills the gaps that hurt your discovery rank and your shopper's confidence.

Frontic also reads your product pages, reviews, and support tickets, and drafts the FAQs your shoppers actually need — at the right place, in the right voice.

Most brands A/B test once a quarter, if at all. The cost of running experiments — analyst time, dev time, statistical confidence — kills the cadence.

Frontic ships experiments every week. New ranking, new rec model, new search tuning, new copy. Each one is measured against your real conversion data. Winners get promoted. Losers get rolled back. You see what worked. You don't see the work.