Unvessel AI

The market, as data you own.

Buyers, content and AI-engine visibility, delivered into your CRM and warehouse.

A black corner bracket lying flat with a long shadow; a red cube rests outside it
10B+messages · founder's prior work
6warehouse domains · founder's prior work
239tech stacks audited · our tooling

Three modules

Buyer Discovery

A scored target list from public signals, into your CRM.

What's included

Input: what you sell and what an ideal buyer looks like. Signals from public sources — permits, press, job postings, filings, tenders, technology stacks. Agents verify each candidate, score it and write a one-line reason. De-duplicated, with public contact paths, delivered into your CRM.

Example: a fibre-optic equipment maker wants the data centres being built or expanded in the US over the next eighteen months, their contractors, and who buys. First list at a fixed price; monthly refresh with additions and changes marked.

Content Attribution

Orders by content category, in your own warehouse.

What's included

Platform identifiers and category tags on every piece of content; conventions for links, short links and codes; order events aligned with content in your warehouse; creator and affiliate content counted by link and code. A monthly review of what to make more of.

Publishing stays with you and your tools, through each platform's official channels. We run our own accounts on this pipeline.

AI Engine Visibility

Where you appear when customers ask AI engines, measured.

What's included

A fixed set of questions your customers ask, run on a schedule; where you and your competitors appear. Structured, consistent data about your company and products, published through the feeds and protocols the engines read. AI-referred visits and orders attributed in your own data.

How it works

  1. DefineThe buyer, the content, the questions
  2. CollectPublic signals, platform data, your orders
  3. Verify and scoreAgents check, a person spot-checks
  4. DeliverInto your CRM and warehouse
  5. RefreshMonthly, changes marked

The same tooling audited 239 company stacks from public sources

What we connect

Public sources only; no scraping of private data.

Your data stays yours

Signals, not lists. Reasons, not scores alone. Yours, not rented.

How this compares with list vendors, lead-generation agencies and attribution SaaS
List vendorsLead-generation agenciesAttribution SaaSUnvessel
Built fromStatic databasesTheir sourcesAds and linked creatorsPublic signals, verified by agents
Why each rowNoneRarely—A reason and its sources
Where it livesRentedThe agencyThe vendorYour CRM and warehouse
Pricing basisPer recordPer lead or retainerPer GMV or ordersFixed price, then monthly refresh
Organic content to orders——RarelyBy content category

How to start

  1. ScopingTwo to three weeks: the definition and the sources
  2. First deliveryThe list, the attribution report or the visibility baseline; fixed price
  3. Monthly refreshChanges marked; cancel any time

Questions

We sell equipment to other companies. Does this apply?

Yes. Buyer Discovery was designed for exactly that: the buyer profile is yours, the signals are public, the list lands in your CRM.

How is a list different from one we could buy?

It is built from current signals — who is building, hiring, filing — not a static database; every row carries a reason and its sources; it is refreshed monthly; and it is yours.

Do we need the Data Foundation first?

Not for Buyer Discovery or visibility. Content Attribution needs order events in your own data; a minimal version runs on the storefront and short links alone.

How is it priced?

Scoping at a fixed fee; the first delivery at a fixed price; refresh monthly. Never per lead or per order.

Past work is on the case studies page.

Start with a scoping

Tell us what you sell and who should be buying it. We'll reply with the definition, the sources and the fee — or tell you honestly if we're not the right firm.

info@unvessel.ai