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Syntasa

Marketing AI · Product Intelligence

Shoppers ask AI. Make sure it picks you.

AI assistants now decide which products shoppers see. Product Intelligence audits how they read your pages, fills in what's missing, and sends AI-ready product data to every agent and channel. Built in your own cloud.

Trusted by enterprise brands

  • Lenovo
  • Sky
  • Currys
  • NOW
  • Bath & Body Works
  • Tesco
  • Bitdefender
  • adidas

The shift

Shoppers ask AI first. Most products aren't ready.

AI assistants build the shortlist before a shopper ever reaches your site. They can't read images or brand tone, so any detail your page doesn't state plainly counts as missing, and your product is left off.

Invisible to AI shopping agents

The product is in stock, well reviewed and priced right. The agent just can't tell.

  • Details only people can see

    Key facts sit in images, free text or behind scripts that agents don’t read.
  • Thin attributes

    Supplier feeds miss what shoppers ask about, like fit, occasion or wear time.
  • Stale price and stock

    Agents quote yesterday’s price, or recommend what’s sold out.

How it works

Audit. Enrich. Serve.

See what's missing, fix the record once, then send it everywhere. All three are live today.

Live
01

Audit

Understand the gaps in your data that are holding back your discoverability, so you can enrich your catalog.

Product page auditFix list
Live
02

Enrich

Turn raw catalog, supplier feeds, reviews and returns into one structured, complete record per product, in your warehouse.

Capture and enrichmentStructured product dataProduct AI models
Live
03

Serve

Send the record to any destination, AI or traditional, from one source: feeds, site and search, email, ads and your own agents.

Feeds and on-page dataEvery channel

Keep your PIM and feed tools. We make what they send complete.

Real shopper prompts

AI assistants only recommend what they can read.

Pick a category and compare the page today with the page after enrichment.

Shopper asks an AI assistant

"Beach-wedding guest dress under $200"

Assistant's answer

Not considered. Three competitors recommended instead.

Linen midi dress · $168Your product page

2 of 5 facts readable · 3 facts the assistant needs are missing

Illustrative examples. Products and answers are invented.

Only with Syntasa

Enriched by what your customers actually do.

Product tools enrich from supplier data. Syntasa also reads your customers' reviews, returns, searches and baskets, in your own warehouse, so each product is described the way shoppers ask for it.

  • Built in your warehouse.No copy of your catalog in a vendor’s cloud.
  • Joined with Customer Intelligence.The same record knows who buys it.
  • Works with what you have.Your PIM and feed tools stay; they just get better data.

Our research

We read 19 product pages the way agents do.

Retail, hotel and restaurant pages from leading brands, checked against the details shoppers ask AI assistants about. Even strong brands leave most of them unreadable.

75%of the retail product details shoppers ask about aren't in structured data, so AI agents have to guess or skip them.
89% vs 54%Best and worst readiness for the same product type.
0 of 8hotel and restaurant pages structured rates, cancellation, calories or allergens.

Syntasa pilot benchmark, 9 October 2026. One page per site; details loaded later by scripts count as missing.

FAQ

Questions buyers ask.

No. Product Intelligence makes the data those tools send more complete. Keep the stack you have.

See what AI shopping agents miss on your pages.

Send up to 10 product pages, public URLs only. No access, integration or replatforming.