Catalogs built for AI to find, recommend, and sell.
We restructure, enrich and schema-tag your product catalog so Shopify Brand Agents, Amazon Rufus, Google AI Overviews and ChatGPT surface it. Throughput pricing — built for catalogs from 100 to 100,000 SKUs.
Free 10-SKU sample · 5-day turnaround · No commitment
Why AI surfaces some products and ignores others.
AI shopping engines — Brand Agents, Amazon Rufus, Google AI Overviews, ChatGPT, Perplexity — don't crawl your storefront the way Google does. They consume structured data: schema.org markup, attribute density, canonical taxonomy, image alt structure, cross-platform feeds. A page that ranks on Google can be invisible to a Brand Agent if the structured data is thin. Most catalogs were built for human shoppers and SEO. The new layer needs catalogs built for machines first.
Five layers of structured product data.
Attributes
Color, size, material, weight, dimensions, use-case, audience, sustainability flags — normalised to your category's standard schema and filled for every SKU.
Schema.org / Product schema
Full Product, Offer, AggregateRating, and Variant schema. Validates clean in Google's Rich Results test.
Long-form descriptions
Rewritten for AI consumption: question-answer structure, comparative phrasing, problem-and-solution framing. Reads naturally, parses cleanly.
Image alt + structured metadata
Every image alt-tagged, IPTC metadata populated, image-schema attached to product schema. Surfaces in image-aware AI engines.
Cross-platform feeds
Shopify, Amazon, Walmart, Google Merchant, Pinterest, TikTok Shop. One source of truth, many feed formats, automated sync.
Before / after, one PDP.
The same home-goods SKU, before and after enrichment.
Before
- 4 attributes filled
- Basic Product schema only
- 0 image alt tags
- 78-word description
- Rufus surfacing rate: 11%
- ChatGPT: not cited in test panel
After
- 22 attributes filled
- Full Product + Offer + Variant + Image schema
- 6 image alt tags + IPTC
- 247-word description, Q&A structure
- Rufus surfacing rate: 47%
- ChatGPT: 3 of 10 queries
Scope tiers
Pricing scales with your catalog.
Throughput-based scope by catalog size. We'll quote a fixed per-SKU rate after the free sample.
Starter
First-time enrichment · under 500 SKUs
- Attribute fill-in
- Schema + descriptions
- Image alt tags
- Single platform
5-day turn on 100 SKUs
Growth
Catalogs 500–5,000 SKUs
- Everything in Starter
- Cross-platform feeds
- AI-consumption rewriting
- IPTC metadata
10-day turn on 1,000 SKUs
Enterprise
Catalogs 5,000–100,000 SKUs
- Everything in Growth
- Source-of-truth PIM integration
- Automated sync
- Monthly attribute audit + dedicated lead
Custom cadence
Four steps to an AI-ready catalog.
Sample
Send us 10 SKUs. We enrich them free in 5 days. You see the work before you commit.
Scope
We map your catalog, normalise your taxonomy, and quote a fixed throughput rate. No surprises.
Enrich
Batch delivery. Daily progress updates. We work in your PIM or a shared sheet.
Sync
Cross-platform feeds activated. Source-of-truth maintained. Monthly audit on Enterprise.
Questions we get a lot.
Can I see what you'd do before paying?
Yes. The free 10-SKU sample is the entire point. Send us 10 product URLs and we'll return the same 10 fully enriched — attributes, schema, descriptions, alt tags — in five business days. No sales call required.
We already have a PIM (Akeneo, Salsify, Plytix). Can you work in it?
Yes. We work in your PIM directly under your existing user accounts, with audit-trail attribution. We don't replace your tooling — we feed it.
Do you also handle ongoing catalog updates?
On Enterprise tier, yes — monthly attribute audit plus net-new SKU enrichment at the same throughput rate. On Starter and Growth the engagement is project-based, but you can re-engage anytime.
What's the difference between this and Amazon listing optimisation?
Listing optimisation is one platform, focused on Amazon ranking. Catalog enrichment is the substrate that makes listing optimisation work across all platforms and makes AI agents surface your products. We can do Amazon-only — that's the Amazon SKU.
Do you write copy or work from our existing copy?
Either. Starter reuses your copy and adds structure. Growth and Enterprise rewrite descriptions to an AI-consumption template — you approve every rewrite.
How do I know it worked?
We benchmark three signals: schema validation pass-rate (target 100%), attribute density per SKU (before/after delta), and AI surfacing rate against a custom query panel for your category. Report delivered at handoff.
Send us 10 SKUs. Free.
We'll enrich them in 5 business days and send them back with a side-by-side report — schema, attributes, descriptions, alt tags. No sales call, no commitment.