AI agents are retrieving product data right now. Yours may not be in it.
ChatGPT, Perplexity, and Google's AI answers pull from structured product feeds, on-page schema, and AI-specific crawlers. When a shopper asks "what's the best running shoe for flat feet under €120", the answer comes from product data, not blog posts or backlinks.
The brands that appear have clean, complete, machine-readable feeds. The brands that don't are invisible to a growing share of purchase-intent queries.
We look at what AI agents actually see when they visit your store.
Measure and baseline
We check your visibility across AI platforms and audit your feed against what these systems currently retrieve. Where are the gaps, what's missing, what's inconsistent between your feed and your pages.
Feed enrichment and alignment
We enrich your product data, fix feed structure, and align on-page schema with feed attributes. The goal is consistency: the same accurate data everywhere an AI agent can look.
Track and adapt
The platforms change weekly. What agents retrieve today may shift next month. We monitor your visibility and adapt as the landscape evolves.
We've spent 10+ years inside product feeds and ecommerce data.
AI visibility for ecommerce is a feed data problem. We know Merchant Center specifications, structured data, feed architecture, and how product information flows from your store to external systems. That's the same infrastructure AI agents now rely on.
We read the source documentation from OpenAI, Google, and the schema.org specifications. We track what changes. We understand how these systems retrieve and rank products today.
Let's look at your feed data together.
Reach out and we'll walk through what AI agents currently see when they visit your store.