Customers don’t just search anymore. They ask. Google, yes, but also AI assistants, answer engines, and agents that shop on their behalf. FoundIt! builds the intent-led architecture that wins organic search today and gets your products surfaced, cited, and recommended across the AI-driven surfaces customers are moving to next. One intelligence layer, every channel, on-site and off.
The Problem
For years, SEO was an information-architecture problem: organize your categories around the keywords customers type into Google, and you rank. Most retailers still treat it that way, writing content first and dropping links in afterward, hoping the structure holds.
But two things have changed. First, the architecture itself is usually built around how the catalog is organized, not around the intent customers actually express, so it’s optimized for the wrong map. Second, and more importantly, a growing share of customers no longer scroll a page of blue links at all. They ask a question and accept an answer from an AI assistant, an answer engine, or, increasingly, an agent acting for them. If your product data isn’t structured for those systems to read, retrieve, and trust, you’re invisible exactly where discovery is heading.
Winning one of these without the other is no longer enough.
Capability blocks
Four connected capabilities create the architecture, data, and connections that help customers and AI systems discover your products.
AEO / Agentic
Search engine optimization helps you get found by people scrolling through search results. Answer Engine Optimization gets you found, and chosen, by the AI systems people now ask instead. When a customer asks an assistant for “comfortable platform sandals I can wear to a summer wedding” or sends an agent off to find and compare options, the retailer that wins isn’t the one with the best blue link. It’s the one whose product data the machine can actually understand, retrieve, and recommend with confidence.
That depends on structure most catalogs simply don’t have yet:
Answer-ready product data
Your products need to carry the questions and answers customers ask before they buy: is it true to size, is it comfortable for long wear, what occasion is it for, expressed as structured, machine-readable attributes, not buried in marketing prose.
Conversational and agentic attributes
Beyond standard feed fields, FoundIt! enriches your catalog with the substitutes, alternatives, and contextual attributes that agentic systems use to reason: if this is out of stock or not quite right, what’s the best alternative, and why.
Trust through consistency
Answer engines reward catalogs that say the same thing, coherently, everywhere. Because FoundIt!’s enrichment and architecture run from a single intent layer, your products present consistently across your site, your feeds, and every answer surface, the coherence these systems are built to trust. The retailers preparing their data for this now will be the default answers when the rest are still optimizing for a results page customers have stopped reading.
Proof in the real world
The same intent-led architecture improves organic visibility today while preparing your catalogue for AI-powered discovery tomorrow.
8.6% lift in organic PLP traffic, validated independently
Working with SearchPilot, the scientific SEO testing platform also used by M&S and B&Q, John Lewis ran a controlled A/B test of FoundIt!’s intent-led interlinking on Product Listing Pages. The result: an 8.6% lift in organic PLP traffic, with an estimated annualised revenue impact in the eight figures.
“FoundIt!’s intent-led interlinking solution has incredible foundations, and the numbers speak for themselves.”
Be found wherever customers search
Organic rankings today. Answer engines and agents tomorrow. Both run on the same thing: product data structured around real customer intent. We’ll show you where your catalog stands, on both.