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Research → modelling → implementation → monitoring

We make merchants legible to machines.

Four disciplines, one loop. Everything starts with measurement and ends with measurement, and the build in between is scoped by what the measurement actually found.

Research

01

We run structured intent sets across every major assistant and score what comes back. This is the measurement layer nobody else is building, and it is the reason our recommendations are specific rather than directional.

  • Intent-set design per category
  • Share-of-answer benchmarking
  • Claim-accuracy auditing
  • Competitor displacement tracking

Data modelling

02

The gap between what your catalog says and what an agent needs to verify is almost always ordinary attributes trapped in prose, images and PDFs. We model the schema and build the pipelines that keep it true.

  • Category attribute schemas
  • Source mapping across PIM / ERP / supplier data
  • Claim substantiation and policy structuring
  • Automated feed generation and validation

Implementation

03

Platform-native where possible, custom where necessary. The goal is that nothing depends on a person remembering to update a spreadsheet, because that always decays within a quarter.

  • Shopify, BigCommerce, Woo, SFCC, Adobe Commerce
  • Agent-reachable checkout and handoff
  • Identity, consent and attribution capture
  • Headless and custom protocol work

Monitoring

04

Agent surfaces change under you. Models update, feeds break, competitors instrument. Answer monitoring turns those from quarterly surprises into alerts.

  • Scheduled intent re-runs against baseline
  • Claim-drift and availability alerting
  • Displacement and substitution alerts
  • Agent-attributed revenue reporting

What you get

Four outcomes. Not four features.

Everything we build ladders to one of these. If a piece of work doesn't move one of them, we don't scope it.

01Get considered

Your products enter the shortlist

Structured, retrievable records mean an assistant can verify you satisfy the constraint in the question, instead of quietly skipping you because it can't tell.

Share-of-answerIntent coverageCompetitor displacement
02Get chosen

Your claims survive scrutiny

Substantiated specs, consistent policies and attributable reviews give the assistant something it can repeat without hedging. Confidence is what converts a mention into a recommendation.

Claim accuracyPolicy clarityRecommendation rate
03Get paid

The handoff actually completes

A buy path built to survive being passed from an assistant, landing on the right variant at the right price, rather than a homepage, a reseller, or a dead end.

Handoff completionAgent-sourced AOVMargin retained
04Get the customer

You keep the relationship

Identity and consent captured at order time, attribution back to the assistant and the intent that produced it. You get a customer with a lifetime value, not an anonymous order.

Identity captureConsent rateRepeat purchase

How it works

Map, plan, connect, then never fall behind.

  1. 01Map

    We map your stack against the protocols

    Your platform, catalog and checkout, checked against ACP, UCP and every live agent surface, one by one: connected, connectable, or blocked, and by what, specifically. Connectors either exist or they don't.

    Stack map + protocol coverage matrix

  2. 02Plan

    We sequence the connectors

    Which protocol first, what each one unlocks, what it needs from your stack, and where the effort sits. Written so you could hand it to any team, including ours.

    Sequenced connection plan

  3. 03Connect

    We install, platform-native

    Connectors, a structured catalog feed and a checkout that survives the handoff from an assistant, with attribution and customer identity captured on your side. On mainstream platforms this is configuration, not a rebuild.

    Live connectors + agent-reachable checkout

  4. 04Reside

    We stay, as the standards move

    Specs get versioned, new surfaces open, protocols keep shipping. We track the drift, apply the updates, land you on new surfaces in the first wave, and report how your category is moving.

    Drift updates + quarterly movement report

Which engagement

Pick by situation, not by budget.

Audit

You want a straight answer on where you can and can't transact.

$2,500 · 5 business days

Details

Connect

You're on Shopify, Woo, BigCommerce or Salesforce and want it done.

From $12,000 · 2–6 weeks, by coverage

Details

Resident

You intend to stay connected while protocols, specs and surfaces keep changing.

$3,000/mo · Ongoing

Details

Objections

The questions we get before every engagement.

If yours isn't here, ask it directly, we answer these on the first call anyway.

  • The rails are live now: checkout inside ChatGPT runs on ACP, Google's agent surfaces run on UCP, and each surface only transacts with stores that speak its protocol. Whether your category justifies connecting this quarter or watching another one is exactly what the audit answers, and 'too early' and 'too late' are separated by about four quarters once agents start accumulating history with connected competitors.

The next step is small

Find out which agent surfaces can sell you right now.

Five business days, a fixed fee, and a connection plan you keep whether or not you ever work with us again. The worst case is learning you're covered.

Book your auditRead the research first
  • Fee credited against Connect
  • No replatforming
  • The connectors are yours