Shoppers can’t buy what they can’t find.

Let’s find your SKU Studio SKU

the complete product feed tool for fashion brands

Your product feed serves many purposes. Now, you can invest in all of them.

The free catalog audit: every SKU scanned, your 25 highest-stakes products in depth.

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Illustrative
Feed health
43/100
412 SKUs scanned — thin titles, missing attributes, no schema
Illustrative
Title, rebuilt
Soline Dress - Sienna
↓ enriched
Soline Silk Midi Wrap Dress — Sienna, Wedding Guest
Illustrative
Demand gap
silk midi dress — 41k searches/mo
You appear in 3 of the 25 searches your catalog should own
29 of 412 SKUs invisible · Illustrative
~30%

of Shopping ads are fashion — and it's the most-disapproved category of them all.

Google Merchant Center policy data
10–30%

of a typical brand's SKUs are disapproved or invisible on shopping surfaces. To the machines, they don't exist.

GMC error-class data
~83%

of ChatGPT's shopping carousel is sourced from Google Shopping. Fix the feed once, appear in both worlds.

Peec AI / Search Engine Land, 43k products
Situations

When brands call us.

“We’re launching SS27 in three weeks.”

Every new drop enriched and live on every channel within days — complete attributes, valid category paths, zero disapprovals, no broken size runs, colorways unified.

“Site search can’t find a ‘blue gingham camp shirt’ we literally sell.”

Natural-language search on your own site, powered by the same enriched attributes — your catalog answers the way your customers talk.

“Our PMax spend feels wasted and nobody can tell us why.”

Item-level ads analytics tied to catalog changes — which data fixes cut wasted spend, per SKU, with latent-feature groupings that show what actually drives performance.

“Which words — and what price — actually sell this dress?”

Copy and pricing intelligence, per SKU: the titles and descriptions that convert on each surface, and where every price sits against the queries you win and lose — decisions, not guesses.

“A competitor owns ‘silk midi dress’ and we don’t know why.”

Demand-gap and share-of-voice analysis: the queries you can’t answer today, who wins them, and the data changes that flip them.

“Honestly? We just want to know what’s true.”

The Fitting, the presence scorecard, and the permanent record — where you’re strong, invisible, or misrepresented, kept past the platforms’ ~90-day deletion.

The work

What your channels see vs. what you actually make.

Beautiful product pages hide thin machine data. Most feeds arrive with the same eight fields — a name, a department, one color, a size run, a price, a marketing line. Machines need far more than that to rank you. We rebuild the record from your images and copy.

feed_export_ss26.csv · row 114 · 8 fields Illustrative
title
Soline Dress - Sienna
department
Women
category
Dresses
color
Sienna
size
XS · S · M · L
price
$298
description
Effortless polish for wherever the evening takes you.
image_url
/cdn/products/soline-sienna-01.jpg
canonical record · enriched · one source for every channel Illustrative
title
Soline Silk Midi Wrap Dress — Sienna, Wedding Guest
department
Women
product_type
Dresses > Midi > Wrap
google_category
Apparel & Accessories > Clothing > Dresses
description
100% silk charmeuse, bias cut, midi length, wrap silhouette with self-tie waist. Side slit, fully lined. Dry clean. Fits true to size; petite-friendly.
color / variants
Sienna (rust) · color × size — 3 colorways unified ✓
attributes
occasion: wedding guest, cocktail · fabric: silk charmeuse · neckline: v-neck · sleeve: flutter · length: midi · fit: true to size · gender: female · age_group: adult · care: dry clean only
price
$298 · sale & currency fields ✓
gtin / schema
0842910077136 · JSON-LD Product ✓ · TikTok + Rakuten paths ✓

One record, every job.

Soline Silk Midi Wrap Dress · canonical record
Google Shopping
Google Shopping card:
Soline Silk Midi Wrap Dress — Sienna, Wedding Guest
Apparel & Accessories > Clothing > Dresses · GTIN ✓
Catalog search
“wedding guest, silk, petite”
→ Soline Silk Midi Wrap Dress
occasion ✓ fabric ✓ fit ✓ — try the search ↓
Meta catalog ads
Meta catalog ad tile: enriched title + attrs
higher relevance, less wasted spend
TikTok Shop
listing live · Soline Silk Midi Wrap Dress
attributes ✓ · ready for creator tagging
AI answers
cited in an assistant's reply
OpenAI · Perplexity — the same record, quoted back

Jobs shown schematically — the same record working five surfaces at once. All examples illustrative.

The controls

Not just found. Merchandised.

Enriched, observable catalog data isn’t the end — it’s the steering wheel. Studio SKU is the full service for managing your brand’s catalog, and once the data underneath is right, these controls come with it.

What to push

Which SKUs deserve the next ad dollar — the demand we’ve mapped × margin × depth of stock. Stop boosting the whole catalog; start backing the right heroes.

Prices with evidence

Where each product sits against the queries it wins and loses — competitor price bands per category, so repricing and markdowns are decisions, not guesses.

Grid order that sells

Collection pages ordered by per-SKU performance and stock story, not upload date. Visual merchandising, for the digital shelf.

Search & sort, yours

Natural-language search and merchandised sort rules on your own site — powered by the same attributes we build for the channels.

Right product, right page

Landing pages assembled by attribute — occasion, fabric, fit — pages that couldn’t exist before because the data didn’t.

The feed, owned end-to-end

Roadmap Spec packs, upload tooling, one canonical record pushed everywhere. Your catalog stops being a chore and becomes a system you steer.

Every control reports back in the platforms’ own numbers — the same proof loop as everything else Studio SKU does.

Ask the catalog

Search it like a customer would.

An enriched catalog answers questions your product data never could. Try the demo — three canned queries, or type your own.

Live demo on an illustrative catalog — this is the search your customers would get.
wedding guest, under $300, petite
Soline Silk Midi Wrap Dress
occasion: wedding guestfit: petite-friendly$298
Lila Bias Slip Dress
occasion: cocktaillength: midi$245
blue gingham camp shirt
Marlin Camp Shirt — Blue Gingham
pattern: ginghamcolor: bluestyle: camp collar$128

Before enrichment, this query returned nothing — the word “gingham” existed only in a product photo.

jeans I can hem myself
The Marlin Selvedge Straight-Leg Jeans
fabric: 13.5oz selvedgecare: chain-stitch hem friendly$185
Proof & accountability

Watch everything. Prove everything.

Feed tools change your data and can’t tell you what happened; platforms show you dashboards and won’t tell you why. Studio SKU runs the whole loop — and every job reports back in the platforms’ own numbers, pulled from their own APIs. Calibrated numbers, not marketing math.

Holdout readout Illustrative

+14.2%enriched cohort, clicks, 28 days
+1.1%held-out cohort, same window

Reported with honest confidence framing — we tell you when a result is noise, and we never claim lift your catalog size can’t statistically support.

Monthly Report — Studio SKUMarch · illustrative
SKUs live / catalog412 / 412 ▲ from 383
Disapprovals caught & fixed17 (avg 1.6 days to fix)
New drop enrichedSS·27 — 48 SKUs, 4 days
Demand gaps flagged6 queries · 118k searches/mo
Holdout experimentweek 3 of 4 — on track

The Fitting: your catalog, examined.

Every engagement starts with the Fitting, a written per-SKU audit of how your catalog actually appears to the machines that decide what shoppers see. Below is a condensed sample. The numbers are illustrative. Your Fitting delivers the before-state and the revenue at stake; the monthly program delivers the after.

1 · Where you're invisible Illustrative

women's red midi dress — 74k searches/mo
Wren & Delta
$168 · sponsored
Maison Corvette
$245
your product exists.
your data doesn't say so.
same query, after enrichment
Wren & Delta
$168 · sponsored
Soline Silk Midi Wrap Dress
$298
Your brand
Maison Corvette
$245

All brands shown are invented. Your Fitting maps your real head queries.

2 · The scorecard Illustrative

Disapproved / warned SKUs offline on Shopping surfaces, selling nothing29 of 412
Searchable titles titles containing category, color, or material words29%
Fabric & fit attributes occasion, material, length, fit, gender2 of 9 avg
GTIN / schema coverage JSON-LD Product markup + identifiers0%
Colorway structure colors as variants, not separate size-only listingsSplit — 3× listings
Estimated annual revenue at stake across the 29 dead SKUs alone $48,600

3 · The funnel, before and after Illustrative numbers — real structure

Eligible SKUs
383 of 412
412 of 412
Impressions
198,400/mo
283,600/mo
Clicks
5,480/mo
8,120/mo
Conversions
307/mo
437/mo
Before enrichment After enrichment Products that were OFF entirely

Then, every month after: the whole loop, watched.

Presence scorecard · eight places people buy fashion Illustrative

Google Shopping
STRONG
Google organic
PARTIAL
TikTok Shop
INVISIBLE
Meta catalog
PARTIAL
Rakuten / CJ
MISREPRESENTED
ChatGPT shopping
INVISIBLE
Perplexity
INVISIBLE
Pinterest
INVISIBLE

Per-SKU impressions, enrichment marked Illustrative

enriched 12 weeks · Merchant API

Pulled from the platforms' own APIs: Merchant API, TikTok Shop, CJ per-SKU conversions.

Share of voice · "silk midi dress" Illustrative

Your brand
31%
Wren & Delta
24%
Maison Corvette
18%
Others
27%

The same feed now decides your place in AI shopping.

+393%AI traffic to US retail, YoY (Adobe, Q1 2026)
+42%conversion rate of AI-referred visitors vs. non-AI (Adobe, Mar 2026)
~83%of ChatGPT's shopping carousel sourced from Google Shopping (Peec AI / Search Engine Land)

Honestly: AI referral volume is still small for most independent brands today. The reason to fix your feed now isn't this quarter's AI revenue: it's that the brands with complete data are the ones these surfaces learn to recommend. This is a head start, and head starts in ranking systems compound.

The Fitting is genuinely free. Every SKU scanned. Your 25 highest-stakes products audited in depth. Delivered as a written report with revenue-at-stake, yours to keep whether or not we ever work together.

Book your Fitting
The team

The catalog team you never have to hire.

Staffing the catalog function yourself: a feed specialist, a data analyst, search engineering, localization — $150k+/yr in hires, or five tools that don't talk to each other. Studio SKU: one accountable team, one canonical catalog, scoped to your brand.

A month in the life Illustrative

MonSS·27 drop lands, 48 SKUs
Wedevery SKU enriched, live on all channels
Thu2 disapprovals caught, fixed same day
Week 3holdout experiment reads out
The 1styour report: what changed, what it earned, what's next

Built by someone who's fixed this before.

Real founder photo here — never stock.

Matthew Cardozo

Founder — ML & data science, NYC

Matthew was the founding AI engineer at a leading NYC personal-styling platform, where he lived this exact problem: affiliate product feeds arriving with seven thin fields, and the machine-learning taxonomy systems he built to fix them at scale. That work — teaching machines to read fashion — is now the entire company.

He started Studio SKU to solve the pain that comes with everything depending on your product feed — merchandising, marketplaces, ads, search, AI answers — while the feed itself is nobody’s job. The service pairs the best of tooling with the best of analytics, because that combination is what brands benefited from, and asked for, most.

The engagement

Scoped to your catalog.

Every catalog is different, so every engagement is scoped at your Fitting.

Limited by design.
Free by conviction.

We onboard a small founding cohort, limited by capacity: every catalog gets founder-level attention. It starts with the Fitting: every SKU scanned, your 25 highest-stakes products audited in depth, delivered as a written report with revenue-at-stake. Genuinely free, and yours either way.

Prefer email? hello@studiosku.io

Submissions go to a human — Matthew reads every one. No newsletter, no drip. Prefer email? hello@studiosku.io