Gen-Search Infrastructure™ for Canadian B2B Companies
AI only recommends what it can verify. We make your business verifiable, and keep it that way as you grow.
Working with multi-region and multi-service companies across Canada.
Free. You keep the findings.
— What AI Says About You Right Now
Your site is accurate. Your Google listing is accurate. And an AI still describes you as serving a region you left two years ago — citing a directory listing you don't own and didn't know existed.
Illustrative example
AI doesn't just read your website. It assembles an answer from whatever it can find: old directory entries, abandoned profiles, aggregators you never signed up for. When those sources disagree, it picks one and answers with confidence.
No error message. No notification. A buyer searches, your name doesn't come up, and you never hear about it.
— The Difference
You have the scale, the certifications and the crews to win the contract. Whether you make the shortlist now depends on whether a machine can confirm any of it.
How most companies are described
Marketing language. Service descriptions that could fit four competitors. Certifications mentioned in copy but tied to nothing. A Google listing with no structured detail underneath.
AI reads it as
An unverified claim. Filtered out of shortlists quietly, with no signal that it happened.
How AI needs you described
Core facts written into your site's code. Service areas defined the same way everywhere they appear. Certifications linked to the bodies that issued them. Old, conflicting listings resolved.
AI reads it as
A verified entity. Confirmed rather than guessed at.
Same company. Same capabilities. One of them gets considered.
— Market Fluency
Buyers here describe what they need in ways machines have to match exactly. Provincial regulators, not federal ones. Service areas defined by corridors, not city limits. Bilingual requirements in some markets and not others. Credentials that mean something here and nowhere else.
How buyers actually search
Getting the Canadian specifics right is most of the work. A multi-province operator described in local terms gets placed too narrowly — or not at all.
So we don't hand over a fix. We monitor what AI says about you every month, and maintain the layer underneath as your business changes.
— How We Work
We work the way regulated industries handle data: establish one record of what's true, encode it so machines can read it, and keep it true as things change.
01
Establishing what's true
Your business is described in dozens of places, and they don't agree. We resolve that into one record: every claim weighed against a fixed source hierarchy, with a confidence score attached to the result. This is the record everything downstream is built from.
02
Encoding it
A verified record is only useful if machines can read it. We translate it into structured data and page architecture — and nothing gets built from a fact that hasn't cleared confirmation first.
03
Keeping it true
Machine perception drifts, and your business keeps changing. Each cycle we compare how the major AI models describe you against the record, and put effort where the gap has opened. It's the improvement loop quality management runs on, applied to how machines understand a business.
Modelled on the Plan–Do–Check–Act cycle used in quality management.
Monitoring tools report on the third block. The value is in owning all three.
— Fit
Entity infrastructure pays off once there's enough business to describe. Enough locations, enough service lines, enough buyers arriving through search that being described wrongly costs you something measurable.
The right stage
You've outgrown a single city. You serve a region, a corridor, several provinces — or you've started selling into markets where nobody knows your name yet. Search brings you real business, and you have a developer or agency who can put changes live.
Probably too early
One city, one core service, and most of your work still arriving by word of mouth. The work still applies — there's just less to resolve, and a smaller gap for us to close.
If the scan says you're earlier than this, we'll tell you, and we'll point you at what would actually move the needle. It's a short conversation, and you keep the findings.
— The Work
We'd rather show you what's real than pad a logo wall.
Where the method was proven
Real Estate · London, Ontario
A decade-old operator being passed over when buyers asked AI who to work with. We rebuilt how JAAG is described at the data layer, and they've since seen substantial growth in traffic and enquiries. We don't claim sole credit, but we can show exactly what was built.
See the work →Underway
Marketplace · Coworking and business travel
A two-sided platform matching executive travellers with quality workspace, and turning underused space into revenue for the people who own it. New category, new name, and nothing for AI to anchor to yet — the harder version of the problem, since models can't misdescribe you until they've decided what you are.
Underway
Facilities Services · Several provinces
The first engagement at this scale. We'll publish what was done, and what it changed, once the client signs off.
Founding Partners
The next case studies are built with seven Canadian companies.
Founding Partners get better terms and a monthly rate locked for as long as the engagement runs, in exchange for a published before-and-after. We onboard one a month, so the seven fill over about half a year.
3 of 7 seats claimed
— What It Costs
How the engagement is structured
There's no pricing on this page because the activation isn't fixed. It's calculated from what the scan finds.
Every year of operating leaves a trail — directories, registries, profiles, listings from an address you left in 2019. Some businesses have a decade of it across four provinces. Others have two years in one city. The work isn't the same, so the price isn't either.
A tool charges everyone the same rate because it does the same thing for everyone. Our number reflects the work your footprint actually needs, and that takes someone looking at it.
So we scan first, then quote. You'll see the score, the band it falls into, and the arithmetic behind your number — the same scoring every applicant gets.
You'll have a real figure in the first meeting. Not a range, not a proposal three days later.
We audit your footprint across 8 signal channels, then ask the major AI models about you and compare their answers to what's actually true. You keep the findings either way.
We put the queries your buyers use to ChatGPT, Google AI Overviews, Gemini and Perplexity, and record what comes back.
Which sources each model cited to build its answer — including the ones you don't control, and the competitor pages appearing instead of yours.
Your signal clarity score, the specific conflicts driving it, and the structured data and architecture work needed to resolve them.
Fill out the details below and we'll run the scan. Within two business days you'll get a video walkthrough of what we found.
— Questions
No. Traditional SEO is about ranking links for people on a search results page. We work on entity resolution — making sure AI systems can read, verify and correctly describe your business. They overlap, and good SEO helps, but a page can rank perfectly well while an AI still gets your service area wrong.
Both, and the split matters. The scanning and monitoring run on our own pipeline. But the decisions don't. When sources conflict, someone weighs them against the hierarchy and decides what's true. When confidence drops below threshold, the pipeline stops and we confirm it with you before anything is built. A tool would guess and move on. Guessing is the failure we're paid to eliminate.
A Google Business Profile is built for people browsing maps. AI systems assemble answers from many sources at once and weigh them against each other — your site, registries, directories, aggregators, credentialing bodies. When those disagree, confidence drops and the model reaches for whichever business is easier to confirm. Your profile is one input. It's rarely the deciding one.
Usually not. We work as a data layer on top of what you have — structured data, URL architecture, profile alignment — without touching your design or taking you offline. If something structural is in the way, we'll say so before you commit to anything.
Your developer or agency. We supply the code, the specifications and the QA, and we review what goes live. That keeps you in control of your own site and keeps the engagement focused on the entity work rather than on deployment.
We audit your footprint across 8 signal channels, then query ChatGPT, Google AI Overviews, Gemini and Perplexity directly and compare what they say to what's true. You'll see where machines are getting you wrong, which sources they're pulling from, and where competitors are surfacing instead of you. We send it as a video walkthrough.
The 90 days is when the cleanup happens — it isn't the end of the engagement. From month four we're monitoring monthly and maintaining the layer underneath as your business changes. Most of what we catch in the first year is drift that appeared after the initial build.
You do. Export your full entity record at any time, in a usable format. Nothing about the arrangement depends on holding your data hostage.
No, and be careful with anyone who does. We don't control how these systems rank or phrase things, and their behaviour changes without notice. What we control is whether your business is accurately and consistently described everywhere a model looks — and we measure that monthly so you can see it moving. Visibility is the outcome. Verifiable infrastructure is what we build.