Free AI Visibility Audit

See what AI tells buyers about your catalog

Your buyers are asking AI who to source from before they ever reach your site. If your product data is unclear, you’re invisible. This free audit shows you exactly where you stand.

Your audit is on the way

We’ve got your details. You’ll have your AI Visibility Audit within 3 business days. No pitch, just what we found.

Get your free audit

A real audit of what AI sees when it reads your catalog. No sales pitch.

This is the conversation deciding your shortlist.

buyer-research.ai
Buyer
I need a supplier for industrial fasteners in the Northeast. Who should I consider?
AI
Based on available product data, here are the suppliers I’d recommend:
1
Northeast Supply Co.
Clear specs, transparent pricing, real-time stock
2
Atlas Industrial
Detailed catalog, fast fulfillment data
?
Your company
Not enough product data to recommend
An illustration. The blank slot is where most B2B catalogs land.

AI is the first sales conversation. You’re not in the room.

A buyer needs what you sell. They don’t open Google anymore. They ask AI for a shortlist.

The AI reads catalogs, specs, pricing, and availability across every supplier it can find. It recommends the ones it can understand. If your product data is thin, buried in PDFs, or hidden behind “call for pricing,” you don’t make the list.

The deal ends before you knew it started. And nobody calls to tell you why.

What agentic commerce is, and why it changes B2B

01 The shift

For two decades, buyers researched by browsing and searching. Now they delegate that work to AI agents that read, compare, and shortlist on their behalf. The buyer sees the recommendation. They never see your catalog.

02 What it means for your data

AI doesn’t squint at your product photos or call your sales desk to clarify a spec. It reads structured data. Clean attributes, complete specifications, transparent pricing, real-time availability. Whatever is ambiguous gets skipped, and skipped means invisible.

03 Where it’s heading

Soon agents won’t just build shortlists. They’ll transact. Placing reorders, comparing availability across suppliers, routing orders to whoever can fulfill fastest. The merchants whose systems can speak to those agents will win the order. The ones running on stale data and PDF catalogs won’t even be considered.

04 Why B2B raises the stakes

In B2C, a bad AI recommendation means a returned shirt. In B2B, it means a wrong-spec order that shuts down a production line. The accuracy bar is higher. Which means the bar for your product data is higher too.

What’s in your AI Visibility Audit

  • What today’s AI tools actually say about your business when a buyer asks them for a recommendation.
  • Where your catalog is invisible or unclear compared to your competitors.
  • The specific data gaps costing you visibility, and what it would take to close them.

How it works

Step 1

Submit your site using the form.

Step 2

We analyze your catalog and run it through the leading AI tools the way a buyer would.

Step 3

You get a clear, jargon-free report. No fluff, no pitch, just what we found.

Built by people who build catalogs for a living.

Web Solutions NYC has spent 18 years building complex B2B ecommerce for manufacturers, distributors, and wholesalers. We were Shopware’s first US partner and contribute to its core platform. We build the systems that make catalogs work, for human buyers and now for the AI agents shopping on their behalf.

Find out what AI sees before your competitors do.

Get my free AI audit