product details
checked for every product, according to its category
AI-ready copy fields
written for every product
AI assistants tracked
Perplexity, plus GPT-4o and Gemini
the file AI assistants read
generated for you, in the JSON-LD format they expect
The shift
Shoppers stopped browsing. They started asking. And the AI doing the answering has never read your product page.
ChatGPT and Perplexity recommend from clear product facts, not marketing prose. A photo and two lines of description tell them almost nothing, so your best pieces never make the shortlist. Not being found is the new out of stock.
From a single photo to a product AI can actually read.
Upload a photo
Drop in one product image, or a whole catalog by CSV. Atlas starts reading the moment the file lands. There are no attribute forms to fill in by hand.

AI reads the details out of the image
Category, colour, material, pattern, fit. Every detail comes with a confidence score. Anything Atlas is unsure of is flagged for you to check, and your correction feeds the next run.

Publish the copy, then watch your visibility move
Send the copy you approved back to the store the product came from, along with the technical file assistants read. Then see whether they start naming you in answers.

Not a keyword or two. Every word that describes the garment.
Most product feeds give an assistant a title and a colour. Atlas gives it the words shoppers actually use when they ask.

Six kinds of detail, read from the photo
Occasion, style, season, mood, trend, and the exact phrases shoppers type. Atlas works them out from the image, not from the label.

The AI file, ready to paste
The technical product and FAQ file assistants read, generated for you to copy.

You approve what ships
Fields Atlas is unsure about are flagged. Correct or approve in seconds.
AI visibility tracking
Don't just improve your data. Prove it.
Better product data is a bet until you can see it pay off. Atlas asks AI assistants the questions your shoppers ask. It records who gets mentioned, and shows your visibility before and after each update, assistant by assistant.
best black wool coat for winter
Based on what retailers publish, these black wool coats stand out this winter:
- 1.Bexley Row double-breasted overcoat
- 2.Copeland & Marsh cashmere-blend coat
- 3.Fen & Field boiled-wool greatcoat
- 4.Arloway funnel-neck wool coat
- Anima Atelier Wool Coatnot mentioned
Demo with a sample brand. We ask the assistants on a schedule, so answers are close to, not identical to, what shoppers see. Placement is never guaranteed.
- Asked directly on Perplexity; GPT-4o and Gemini answer using web search
- A before and after view around every update to your product data
- Totals we compare for you. We never promise the change caused the lift
It starts from data you already made.
Good results need a clean starting point. If you make tech packs, you already have one. Atlas works from your own specs instead of guessing.
Source
Your tech-pack data is already detailed
- Tech packs and BOM
- Existing product catalog
- CSV or image upload
Atlas
Read, fill in and score
- Reads every product detail
- Copy and the file AI reads
- Visibility tracking
Publish
Back to the storefront
- Vestis Platform
- Copy-paste code for your site
- More stores coming
Start free. Grow into visibility.
Your first products are free. Move up when you want every assistant watching your whole catalog.
Free
Try it on your first products and see the detail for yourself.
- Read 25 products a month
- Every detail we can read
- Copy-ready code for your site
- 3 visibility checks a month
Pro
For a growing catalog that needs to be found on every assistant.
- Read 500 products a month
- All three AI assistants tracked
- 100 visibility checks a month
- Bulk import and review queue
Scale
For full catalogs, tech-pack workflows and several stores.
- Read 5,000 products a month
- 1,000 visibility checks a month
- Tech pack and WooCommerce links (coming soon)
- Your products go to the front of the queue
Be in the answer.
Your first products are free. Watch them become readable to the assistants your shoppers already trust.

