Built for the next commerce interface

Make your catalog
understandable
to AI.

Turn your existing product feed into an AI-agent-ready catalog — enriched with intent, use cases, audiences, and more. So autonomous agents can find, understand, and recommend your products.

Keep your affiliate links. Earn when you sell.
YOUR PRODUCT FEED
Papyras
AI-AGENT READY CATALOG
Intent & Use Cases
Audience Signals
Search Terms
Product Facts
Live Availability
Affiliate Links
Modern Lounge Chair for small spaces Small Space Living
In stock €249.00
No rebuildingKeep your setup
Always freshWe track changes
Richer contextBetter recommendations
More visibilityMore conversions
You’re in controlYour feed, your rules
One feed. A richer representation.

Give AI the product,
not the page.

You keep your existing product feed. Papyras turns it into a structured, enriched catalog designed for machine retrieval.

<product>
  title: Men's Waterproof Hiking Jacket
  description: Lightweight 3-layer shell...
  price: 129.99
  currency: EUR
  category: Outdoor / Jackets
  ...
</product>
P
{
  "intent": ["wet-weather hiking"],
  "use_case": ["trekking", "mountain"],
  "audience": ["hikers"],
  "queries": ["waterproof hiking jacket"],
  "price": 129.99,
  "availability": "in_stock",
  "affiliate_url": "verified"
}
The semantic layer

From what they type
to what they mean.

A buyer rarely describes a product exactly the way a catalog does. Papyras adds semantic signals that help agents bridge that gap.

The buyer says…

“I need something comfortable for a small balcony that can survive rain.”
natural language · human intent
weatherproof
small-space
outdoor living
Outdoor Patio SofaStructured merchant product

Papyras adds…

outdoor livingsmall balconyweather protectioncompact seatingpatiodeckrain-resistanthomeowners
semantic context · machine-readable
The difference

Don't make the agent
do the archaeology.

The same product. Two very different amounts of work.

WITHOUT PAPYRAS
HIGH COMPUTATION
<!-- render page --> <div class="pdp-price-block js-lazy">  price: $--.--</div> <!-- find attributes --><!-- infer audience --><!-- infer intent --><!-- check stock --><!-- find purchase URL --> → scrape→ parse→ interpret→ verify
The agent: spends its budget figuring out what the product is.
WITH PAPYRAS
LOWER COMPUTATION
{  "name": "Weatherproof Outdoor Patio Sofa",  "price": "189.00",  "availability": "in_stock",  "intent_tags": ["outdoor living","weatherproof"],  "use_case_tags": ["patio","balcony"],  "audience_tags": ["homeowners","renters"],  "search_concepts": ["rain-resistant patio sofa"],  "affiliate_url": "verified"} ✓ structured✓ enriched✓ ready to retrieve
The agent: spends its budget deciding which product to recommend.
What travels with the product

Not just more fields.
More understanding.

Papyras connects the factual, commercial and semantic layers of your catalog into one machine-readable product record.

Product factstitle · brand · attributes
Commerceprice · stock · shipping
Intentwhat the buyer wants
Use caseswhere / why it fits
Audiencewho it serves
Search conceptshow it can be found
Imagesvisual context
Destinationverified purchase path
Your catalogone agent-ready product graph
No rebuild

You keep the catalog.
We add the layer.

Papyras works from the feed you already have. Your storefront, product management and existing affiliate setup don't need to be replaced.

Existing feed
Existing catalog
Existing affiliate relationship
No storefront rebuild
Your feedAS-IS
PapyrasSTRUCTURE · ENRICH · VERIFY
AI agentsQUERY · COMPARE · RECOMMEND
YOUR PRODUCT DATA → A MACHINE-READABLE DISCOVERY LAYER
Pricing

Start without another
software bill.

Choose the model that fits your catalog.

Performance model

Affiliate

We earn when a sale converts through your existing affiliate link.

$0 / month
  • No separate software subscription
  • Catalog structuring & enrichment
  • Recurring product-data checks
  • Existing affiliate relationship stays in place
Start with affiliate →
Questions

The short version.

Do I need to change my existing feed?

No. Papyras works from the product feed you already produce.

Does this replace my website?

No. It adds a machine-readable discovery layer alongside your existing commerce destinations.

What gets added to my products?

Semantic signals such as intent, use cases, audience context and search-oriented concepts, alongside the product and commerce data already in your feed.

What happens to my affiliate links?

Your existing affiliate destination can remain the purchase path, so agent-driven recommendations can route through the relationship you already have.

Let your catalog speak
machine.

Give us the feed you already have. We'll handle the work required to make it useful to AI shopping agents.

List my catalog →
No storefront rebuild · No new feed format to maintain