FoundIt! makes your Google presence better
Google has moved from a page of blue links to AI-driven, conversational, increasingly agentic shopping. What it surfaces depends almost entirely on the quality and completeness of your product data. FoundIt! enriches your catalog with customer-language attributes, use cases, and product answers that surface now, so your products show up where buying decisions are being made.
From compliance to strategy
The feed is the strategy now
For years, the Google Shopping feed was a compliance exercise. Title, description, GTIN, category, price. Get it accepted, bid well, move on.
That era is over. Google’s AI shopping surfaces synthesize recommendations from product data rather than ranking links, and they weight catalog completeness heavily. Google has introduced a Merchant Center attribute schema built specifically for these AI surfaces, designed to answer the longer, more nuanced questions shoppers ask in conversational interfaces, covering things like answers to common product questions, compatible accessories, and substitutes. Completing optional attributes such as material, fit, and use case has become a primary lever for AI recommendation eligibility.
Which means the retailers who win are the ones whose product data can actually answer a question. Most catalogs cannot, because they were never written to.
Side by side
Google alone vs. Google with FoundIt!
| Capability | Your feed today | Your feed with FoundIt! |
|---|---|---|
Core feed fields | Title, description, category, price, Material, Pattern, Product Type | The same fields, sharpened with the language customers actually use |
Attribute completeness | The handful your catalog happens to hold | Rich use-case, occasion, material, and fit attributes across the full range |
Conversational queries | Matches on literal product terms | Answers nuanced, natural-language questions because the intent is in the data |
Product questions & answers | Usually absent, or buried in prose | Structured answers to the questions buyers ask before they commit |
Substitutes & alternatives | Rarely modelled | Contextual substitutes and alternatives that agentic systems can reason over |
Consistency across surfaces | Feed, site, and PDP often diverge | One intent layer, so site, feed, and answer surfaces tell the same story |
Where FoundIt! fits
Google surfaces the data. FoundIt! makes it worth surfacing.
Google is the surface: the Shopping Graph, the AI answers, the agents acting for shoppers, all operating at a scale no retailer can replicate. FoundIt! is the intelligence that decides what your catalog tells that surface, generating the enriched attributes, structured answers, and contextual relationships those systems read.
The same enrichment that powers your on-site search, navigation, and product pages flows straight into your feeds. One layer of work, every channel, on-site and off. And because it runs continuously, new products arrive answer-ready rather than waiting for a manual data project that never quite finishes.
Proof in the real world
Tested, not claimed
John Lewis: 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 approach on Product Listing Pages. The result: an 8.6% lift in organic PLP traffic, with an estimated annualized revenue impact in the eight figures.
“FoundIt!’s intent-led interlinking solution has incredible foundations, and the numbers speak for themselves.”
Be the answer, not just a listing
Google’s AI surfaces reward catalogs that can answer a question. Most cannot. We’ll show you where yours stands, and what answer-ready product data looks like on your own range.