AI-built pSEO - wired into a Seattle workflow, not bolted on the side.

Our goal is to give Seattle businesses a three-day weekend, so people can spend more time with their families and the people they love :)

The reason we take on work in Seattle is that the businesses here tend to be sharper about what they want than the brief lets on. AI programmatic SEO for a Seattle team almost always ends up looking different to AI programmatic SEO for a downtown Auckland one.

What AI programmatic SEO actually does

Thousands of high-intent landing pages - one per service, suburb, problem - generated, structured, and indexed. The same engine that built this site. Built for your business.

  • 01 Service × location × intent matrix at scale
  • 02 Schema.org + internal linking baked in
  • 03 Auto-updates when your pricing or services change
  • 04 Indexed in days, not months

Built on: Astro Claude Vercel Google Search Console

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How AI programmatic SEO compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKiwi Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

What we keep seeing in Seattle.

  • Seattle runs on cloud computing, aerospace and coffee, home to the companies whose infrastructure half the internet's AI runs on - AI here means holding up to serious technical scrutiny.
  • Two of the world's largest cloud providers are headquartered here alongside a major aerospace manufacturing base. Seattle businesses, even small ones, tend to have someone on staff who can and will check your work.

We work with teams across Seattle: Downtown Seattle · Capitol Hill · Bellevue · Fremont · Ballard · Redmond.

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How we build AI programmatic SEO for a Seattle team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Seattle business, so value lands before the build is finished. AI-built pSEO.

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How the work runs

The outcome for Seattle teams

The shape of the result for Seattle teams: Average client adds 800-2,000 indexed pages in the first 60 days. Built on Astro, hardened with the rest of the stack as it scales.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Kiwi Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Kiwi Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for AI programmatic SEO with a Seattle?

Most Seattle businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

Is AI programmatic SEO worth it for a smaller Seattle?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

Has this actually shipped for a real Seattle?

Yes. Average client adds 800-2,000 indexed pages in the first 60 days. We'll share comparable engagements on the call.

What happens if we want to swap a vendor out later?

AI programmatic SEO is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Astro, Claude, Vercel, Google Search Console are our defaults, but the build is intentionally portable.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

Talk to us about this

Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.