The era of AI commerce is here
Making Commerce Understandable to Machines.
For merchants and agencies making their catalogs understandable to the machines that now decide what shoppers see.
Works with
Real audit · PonteBella Sport Waist Trainer. Full report in the Agentic Catalog Readiness Audit.
The problem
Most shoppers leave with their questions unanswered.
Questions go unanswered
Shoppers arrive with real questions — “will this work for me?” — and a static catalog can’t answer. They leave to ask a machine that can.
Your catalog is illegible to machines
AI systems read structure, not pages. A catalog built only for human eyes is effectively invisible to the agents now deciding what shoppers see.
Carts stay empty
When neither shoppers nor the agents helping them can find the right product, the sale never starts. Presence isn’t the bar anymore — interpretability is.
Proof, not promises
See it working.
One real product, audited. Switch the view — the data is the same catalog, read the way machines read it.
17 machine-readable fields
Your original page exposed 5.
GET /catalog.json — 1 of 47 products
{
"structural": {
"title": "Sport Waist Trainer — Firm Thermo-Active Compression, Low-Allergen Latex",
"brand": "PonteBella",
"price": 54.99,
"image_url": "https://cdn.shopify.com/s/files/1/0514/9170/0898/products/Sport_Waist_Trainer_10501_Black_Fajas_Colombianas_PonteBella.jpg?v=1669689693"
},
"taxonomy": {
"category_group": "apparel",
"category_subgroup": "apparel_shapewear",
"product_type": "waist trainer"
},
"semantic": {
"functional_intent": ["waist_shaping","posture_improvement","curve_enhancement"], // what shoppers are trying to achieve — agents match this against real queries
"use_cases": ["gym","everyday","postpartum"], // the contexts this product fits — powers occasion and goal-based discovery
"purchase_signals": ["hypoallergenic","latex_free","machine_washable"], // the attributes buyers filter on — surfaced to comparison agents
"functional_attributes": {"connectivity":["thread"],"thermal_control":true,"compression_level":"firm","moisture_absorption":true,"dietary_or_free_from":["natural"]}, // structured product facts agents can verify and compare
"materials": ["natural latex","cotton","spandex lining.","spandex","steel thread"], // composition, machine-readable for filters and compliance
"sizes": ["30/XXS","32/XS","34/S","36/M","38/L","40/XL","42/2XL","44/3XL","46/4XL","48/5XL","50/6XL"],
"colors": ["Black","Blue","Pink","Purple"],
"benchmark_position": {"compression_level":{"declared":"firm","position":"above","benchmark":"light-medium"}}, // how this product ranks vs the category norm
"safety": "♦️ If you are pregnant, don't wear this item. , ♦️ If you are breastfeeding, remove the item. , ♦️ Keep away from children., ⚠️ If you notice redness on the skin, remove it and ask your doctor. , ⚠️ Wear a light blouse. , ⚠️ 0.01% of people could be allergic to latex. , ⚠️ Our latex is cooked under heat, so no allergic reaction occurs., ⚠️ Don't sleep with the product.,", // usage and safety info, delivered verbatim to agents
"search_synonyms": "+4 curated — full feed"
}
}Live preview — 1 product. Your full catalog, always fresh, at data.nsolvia.com
Once published, substantially more visible to AI agents.
How AI assistants surface your products
Coming soon — a live view of how ChatGPT, Perplexity, Google AI, and shopping agents retrieve and rank this catalog once it's machine-readable.
The AI seller, grounded in this catalog
A short looping demo of a real Agentic Seller conversation is on its way — the same enriched data above, answering shoppers turn by turn.
Explore more
The products
One layer. Every surface.
NSOLVIA DATA™
AI Commerce Discoverability™
Coming soonOne verified source of truth. Four discovery surfaces.
Powered by the Semantic Commerce Engine + Brand Knowledge Engine — part of the Semantic Commerce Layer™
How it works
From catalog to machine-readable in three steps.
Audit your catalog
Run the free Agentic Catalog Readiness Audit and see exactly what machines can — and can’t — read about your products today.
We make it machine-readable
NSOLVIA structures and enriches your catalog — taxonomy, intent, use cases, synonyms, attributes — from one source of truth.
AI agents find and recommend you
Your products become readable, rankable, and recommendable to ChatGPT, Perplexity, Google AI, Claude, and shopping agents.
Free · no login
See your catalog through the eyes of AI.
Get your Agentic Catalog Readiness Score™ and the exact gaps limiting how machines find, read, and recommend what you sell.
Audit My Catalog FreeUse cases supported
AI-ready product catalogs for every channel
Five intent surfaces that AI assistants and shopping agents actually use — answered directly by structured product data, not by guesswork.
Product Discovery
Shoppers (and AI agents) find the right product by meaning and intent, not just keywords.
Goal-Oriented Shopping
Catalogs answer outcomes — 'help me sleep better,' 'build muscle,' 'host 8 people' — not just SKUs.
Product Comparison
Structured attributes let AI compare options like-for-like across brands and variants.
Occasion/Use-Case Matching
Wedding, gym, rainy commute, gift for mom — products surface to the moment they fit.
Agentic Commerce Retrieval
Autonomous shopping agents query your catalog by meaning and get back ranked, structured products.
Frequently asked
The questions merchants ask first
Why are stores that “did everything right” suddenly invisible?
Because the rules changed quietly. For twenty years catalogs were built for two readers — shoppers and search engines. Now a third reader increasingly shapes what gets discovered: AI systems that read structure, not pages. Presence is no longer the bar; interpretability is.
What is NSOLVIA?
NSOLVIA is built around the Semantic Commerce Layer — the infrastructure that makes your product catalog understandable to the AI systems now driving discovery, so machines can find, understand, and surface what you sell.
Do I really need five different tools for this?
No — and that’s the point. Instead of stitching together a feed tool, an SEO agency, a schema plugin, and a chatbot, NSOLVIA is one layer that handles machine-readability across all of them, from one enriched catalog.
Isn’t this kind of thing expensive?
NSOLVIA was designed for growing merchants, not only enterprise teams — and you can start free. The deeper infrastructure scales with you as you grow.
Who is NSOLVIA for, and where do I start?
For merchants, SMBs, and agencies who sell online and want to stay visible as discovery shifts to AI. Pick the surface you need: measurement at /audit, deployment at /msa, /semantic-rag, or /semantic-commerce-layer.
Start where every merchant should — with a free audit.
No login. See exactly how machines read your catalog today.
Audit My Catalog Free