Sites machines can read. Sites humans can’t ignore.
We build in Next.js and headless architectures for companies that need a site to do three jobs at once — load instantly, convert the visitor, and hand a clean, structured account of the business to every machine that reads it. That last job used to be optional. Now it decides whether an AI engine can quote you at all.
Your site has a second reader, and it doesn’t run JavaScript.
A decade of front-end fashion pushed rendering into the browser. It made for slick demos and a real problem: most AI crawlers — GPTBot, PerplexityBot, ClaudeBot and their peers — fetch your HTML and stop. They do not wait for a hydration pass. If your copy, your pricing, your service areas and your proof arrive after the JavaScript executes, the model reading your page sees an empty shell and moves on to a competitor whose HTML actually said something.
Classic search punishes the same architecture more quietly. Render-blocking bundles push Largest Contentful Paint past the threshold, layout shift eats the Interaction to Next Paint score, and Googlebot’s render queue spends your crawl budget re-processing pages it could have understood on the first request. Add a URL structure that spawns duplicates and you get index bloat: thousands of near-identical pages competing with the twelve that matter.
So we build the other way around. Server-rendered by default, semantic HTML that maps to real entities, structured data emitted from the same components that render the visible page, and an llms.txt that tells AI agents where the canonical facts live. The result reads correctly whether the visitor is a buyer on a phone in Liberty Village or a language model assembling an answer about your category.
A page rendered client-side isn’t ranked badly by AI engines. It isn’t read at all.
Engineering, not a theme swap.
Every build ships with the same foundation. What changes is scope — a five-page authority site and a 4,000-SKU storefront get the same discipline underneath.
Next.js & headless architecture
App Router builds on a headless CMS or commerce backend. Content teams publish without tickets; the front end stays fast and fully under our control.
Server rendering for machine readers
Every meaningful word exists in the first HTML response. AI crawlers that never execute JavaScript still get your full page, not a loading state.
Core Web Vitals engineering
LCP, CLS and INP treated as build constraints, not a post-launch cleanup. Budgets are set at the start and enforced in CI on every deploy.
Conversion-first UX
Information architecture built around the decision path — what the buyer needs to verify, in what order, before they are willing to contact you.
Structured data in the components
Organization, Service, Product, FAQ and LocalBusiness schema emitted by the same components that render the page, so markup can never drift from copy.
Semantic markup & llms.txt
Real heading hierarchies, honest landmarks, and an llms.txt that points AI agents at your canonical facts instead of letting them guess.
Accessibility as standard
WCAG 2.2 AA as the working baseline — keyboard paths, contrast, focus states and labels. The same structure that helps screen readers helps parsers.
Edge delivery & measurement
Global edge hosting, image and font pipelines, plus analytics and event tracking wired to the actions that actually signal revenue.
Four phases, no surprises.
Audit & architecture
We crawl what exists, map every URL worth keeping, and design the redirect plan, content model and schema graph before a single component is written.
Design & component build
Interface design and front-end build move together. Components ship with their markup, schema and accessibility behaviour attached — never bolted on later.
Instrument & launch
Performance budgets verified, analytics and conversion events tested, redirects rehearsed on staging. We migrate on a quiet day and watch the logs live.
Measure & compound
Post-launch we track vitals, crawl behaviour and how the AI engines start describing you — then feed those findings into the next release.
The foundation everything else is built on.
Figures are aggregates across our client base, not a single account. Results depend on category, competition and starting position — we set a baseline before we start so you can see the delta yourself.
Before you brief us.
The things prospective clients ask in the first call, answered the way we answer them there.
Why does server-side rendering matter for AI search?+
Most AI crawlers request your HTML and parse what comes back. Unlike Googlebot, they generally do not run a second rendering pass to execute JavaScript. A client-side rendered site therefore hands them an empty shell, and the model builds its answer from a competitor whose HTML contained real content. Server rendering puts your copy, pricing, locations and structured data in that first response, which is the only response many of these crawlers ever read.
Do we have to rebuild the whole site?+
Not always. We audit first and tell you honestly. If the platform is sound and the problem is rendering, schema or page speed, we fix it in place — that is usually faster and cheaper. A full rebuild is warranted when the architecture itself is the constraint: a template system that cannot emit clean markup, a URL structure generating index bloat, or a stack where every performance gain requires fighting the platform.
How long does a build take?+
A focused marketing site typically runs six to eight weeks from kickoff to launch. Larger builds with complex commerce, multiple locations or a content migration run twelve to sixteen. The variable is rarely engineering — it is content readiness and approvals. We publish a phase plan in week one with the decisions we need from you and the dates we need them, so the timeline stays yours to control.
Who owns the code and the accounts?+
You do, from day one. The repository, the hosting account, the CMS, the analytics properties and the domain are all in your name, and we work inside them rather than behind them. There is no proprietary page builder to unwind and no license that expires when the engagement does. If you ever take the site in-house or to another agency, everything transfers with a permissions change.
Let’s see what your site actually says.
We’ll crawl your current build the way a search engine and an AI crawler each would, show you the gap between them, and tell you what it would take to close it.