The Product Knowledge Platform for Agentic Commerce
Transform raw catalogs into structured product knowledge agents can discover, compare and purchase.
Trusted by enterprise teams across commerce, retail & finance
Product Knowledge is the
new performance metric.
Retailers measure SEO, site speed, and conversion. Next they measure Product Knowledge — the layer that decides whether AI recommends their products. It starts with the Paladio Knowledge Score™.
- 75% fewer catalog operations
- Supplier onboarding in days
- Faster time to publish
- Attribute completeness
- Compatibility coverage
- Compliance accuracy
- Agent Retrieval Rate
- Top-3 Agent Visibility
- Agent Confidence Score
- Products live across AI channels
- Time to first transaction
- Agent conversion readiness
Representative product view — verified client results below.
75% / 90% from Paladio commerce deployments. See sourced case studies → · Get your Knowledge Score →
What agents actually know
about your products.
A supplier feed lists what a product is called. Product knowledge is everything an agent needs to compare, recommend, and sell it.
- skuMRO-4419-BLK
- gtin—
- title1/2" Cordless Impact Wrench
- brandRidgeline
- colorBlack
- size—
- price189.00
- descriptionPowerful cordless impact for pros…
- image_urlcdn/img/4419.jpg
The same product — raw fields on the left, organized product knowledge on the right: enough for an agent to compare, recommend, and transact on it.
The system that builds
product knowledge.
Catalog Agents read your raw feeds and generate the attributes, compatibility, variants, compliance, and relationships that make a product understandable to agents — and keep that knowledge current as your catalog changes.
Explore Catalog Agents →Your catalog was built for search engines. Agents reason over product knowledge.
Catalog Agents create product knowledge. ACL distributes it to every agentic shopping surface. One reusable asset, sold everywhere agents shop.
Millions of SKUs turned into reusable product knowledge — and kept current, continuously.
Agents filter.
They don't rank.
Search ranks a list and lets a person choose. An agent reasons over product knowledge and returns one answer. Miss the criteria and you're not ranked lower — you're gone before the shortlist forms.
Know if your product
knowledge is working.
Ranker scores how your catalog actually performs inside agent answers — then measures again after every enrichment cycle. Enrichment stops being a guess.
Meet Ranker →Connect once.
Sell everywhere agents shop.
Catalog Agents create product knowledge. ACL distributes it. Merchants connect once; agents shop everywhere — catalog, inventory, pricing, and cart, all in one place.
Explore the Agentic Commerce Layer →One integration for merchants. Infinite experiences for agents.
Powered by Lattice, Paladio's production AI platform — connected to your systems, governed and observable by default.
The Agentic Commerce Lab.
Practical research on product knowledge, catalog agents, and what it takes for agents to discover, compare, and transact your products. Start with the complete guide →
What Are Catalog Agents? (And Why a PIM Can't Do What They Do)
Catalog agents are purpose-built AI systems that extract, classify, verify, and connect product data at scale. Here's what each one does — and why the category exists.
Your Products Are Being Filtered Out. Not Ranked Down — Filtered Out.
AI shopping agents don't rank results. They eliminate candidates that fail structured constraints. A product that disappears from ChatGPT isn't at position 12 — it was excluded before the shortlist formed.
What Is Catalog Readiness? (It's Not the Same as Clean PIM Data)
Catalog readiness is whether each SKU carries enough structured signal for an AI agent to retrieve, filter, compare, and transact on it — without a human catching exceptions.
Catalog Agents vs PIM: Same SKUs, Different Jobs
Your PIM tracks what exists. Catalog agents decide whether it's correct. Here's the exact line between them — and why most teams with data quality problems already have a PIM.
The Agentic Commerce Readiness Checklist: 3 Buckets, 25 Checks
A practical checklist for assessing whether your catalog can be acted on by AI shopping agents. Each check maps to a specific failure mode at retrieval, filter, comparison, or transaction time.
How to Run a Catalog Readiness Assessment (Before Your Channel Does)
A step-by-step framework for scoring your catalog across three readiness buckets at the product level — so you know what to fix before it costs you a listing or a recommendation.
Build the knowledge behind
every agentic purchase.
Get your readiness score in minutes, or book a demo. Engagements are outcome-based — if the agent doesn’t perform, you don’t pay.