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Modern websites, ranked in AI search✦Cited by ChatGPT, Perplexity & Google AI Overviews✦32% of our own traffic comes from AI search✦Modern websites, ranked in AI search✦Cited by ChatGPT, Perplexity & Google AI Overviews✦32% of our own traffic comes from AI search✦Modern websites, ranked in AI search✦Cited by ChatGPT, Perplexity & Google AI Overviews✦32% of our own traffic comes from AI search✦Modern websites, ranked in AI search✦Cited by ChatGPT, Perplexity & Google AI Overviews✦32% of our own traffic comes from AI search✦
AI-Native Infrastructure

Your content as data, not as pages locked inside one CMS.

API-first content means a single source of truth your site, your AI agents, your email tools, and future channels can all read from. We model it once and render it everywhere.

Map Your Content Architecture
The challenge
Most small business content is locked inside the platform that renders it. WordPress, Squarespace, Wix, all of them. When you want to repurpose a service description into an email campaign, somebody copies it. When the AI agent on your site needs the same fact, somebody pastes it again. Every new channel needs a new pipeline because the CMS treats content as pages instead of data. So the same work gets done twice, the message drifts between channels, and the AI engines have a harder time crawling what you publish.
How we solve it
On Engine and Studio builds we model your content as data first, then render it. Content lives in a headless layer (Sanity, Contentful, Strapi, or a TypeScript data file in the repo). Every piece of content has a defined shape, validated at build time, accessible via clean APIs. The same service description feeds the website, the email campaign, the AI agent, and any future channel. Schema markup is generated from the content model, so it stays consistent across every page. Editors get a clean interface, engineers get predictable types, and AI engines get a fast, structured response on every fetch. Most of this work lands at the Engine tier ($9,000) or the Studio tier ($15,000+).

Key benefits

True Omnichannel Delivery

One content source serves every channel through purpose-built APIs. Web, mobile, digital signage, AI agents, partner feeds, and future platforms all consume the same structured content.

AI-Ready Content Structure

Content modeled as structured data with semantic relationships, not as blobs of HTML, which lets an AI system query it, follow the links between pieces, and cite it directly. That is what grows your citation footprint.

Atomic Content Reuse

Write a piece once and publish it everywhere. A product benefit, a customer proof point, or a technical spec lives as one source of truth that gets assembled into any number of contexts without being copied.

Governance & Compliance at Scale

Content workflows with approval chains, version history, scheduled publishing, and access set by role. Every change can be audited and rolled back, and it stays within whatever policies your organization has to follow.

Our process

  1. 01

    Content Audit & Modeling

    We audit your existing content landscape, identify content types and relationships, and design a structured content model that supports your current and anticipated distribution channels.

  2. 02

    API & Infrastructure Design

    We select and configure the optimal headless CMS, design API schemas, establish caching strategies, and define access patterns for every consumption context from web delivery to AI agent queries.

  3. 03

    Migration & Integration

    Structured content migration from your existing CMS, API integration with your frontend applications and third-party systems, and editorial team training on the new content workflows.

  4. 04

    Optimization & Expansion

    Post-launch monitoring of API performance, content delivery metrics, and usage patterns. We iteratively expand the content model and add new delivery channels as your needs evolve.

Proof you can check

4 → 30

pages for Starlit Homes, a NetZero builder whose self-built site became a page per model plus a building-science blog.

Read the case study

6 → 190+

pages for Zebra Home Cinema, rebuilt from a 6-page WordPress site with 22 city pages and 96 posts.

Read the case study

90 days

for Lotso Travel's blog to rank one slot under Rogers and Telus on Canadian roaming-versus-eSIM searches.

Read the case study

Ready to get started?

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Map Your Content Architecture

Related insights

AEO & AI Search

The Complete Guide to Structured Data for AI Search: JSON-LD Schemas That Drive Citations

Strategy & Process

WordPress Bloat vs. AI-Native Architecture: The Executive Guide to Replatforming

Explore related solutions

Headless React Architecture

The frontend is React (Vite, Next.js, or TanStack Start), the content lives in a headless layer (Sanity, Contentful, Strapi, or a TypeScript data file). Sub-second loads, clean semantic HTML, schema baked in.

Headless CMS Implementation

A headless CMS keeps your content as structured data your team can edit, while we render it as a fast modern site, an AI-readable feed, and any future channel you decide to ship to.

AI-Native Hosting (Cite-met)

Cite-met is our own hosting platform. It edge-renders pages in under 200ms and stays open to the AI crawlers that decide who gets cited. Every site we ship runs on it by default.

Industries that ship this

Real Estate

Real estate agents and developers sites with RealEstateAgent schema.

Construction

Builders and contractors sites with HomeAndConstructionBusiness schema.

Custom AV Installers

AV installers sites with LocalBusiness schema.

Accountants and CPAs

Accounting firms sites with AccountingService schema.

Schools and Training Programs

Schools and training providers sites with EducationalOrganization schema.

Professionals

Professional practices sites with ProfessionalService schema.

Want to verify?

Industry sources we cite.

3 links · External

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