Background
QuantAIze is an AI automation agency — a sister practice to Purcell Analytics that builds AI-powered automation systems for businesses: custom workflows, integrations, and intelligent agents. Like every new agency, QuantAIze launched needing a marketing site that did three things at once: explain a complicated service in a way buyers can act on, capture inbound interest, and rank for the search terms its actual customers use.
This case study walks through the public-facing site we built for QuantAIze — how the stack was chosen, how SEO and lead-gen were wired in from day one, and why the same patterns we use on Purcell Analytics' own properties carry over to client builds. The site is live at quantaize.ai.
The problem
A new AI services firm has a narrow window to be discoverable. Buyers searching for "AI automation," "intelligent agents," or specific workflow integrations are already comparing options. If your site loads slowly, has thin metadata, or buries its services under generic copy, you're not in the comparison set. The default "drop a template into a website builder" path produces a site that's slow, has poor structured data, and gives Google's ranking systems nothing to work with — exactly the failure mode we'd just spent weeks fixing on Purcell Analytics' own site.
The pain points we wanted to avoid going in:
- Slow, render-blocking page loads. AI-related search queries are competitive; pagespeed and Core Web Vitals are table stakes for visibility.
- Generic schema.org markup, or none at all. Without rich Organization, Service, and Person schemas, Google has no entity graph to associate the site with — and no way to show the agency in rich results.
- Visitor traffic that lands and bounces with no signal. Without identification and intent tracking on inbound visitors, marketing spend is invisible.
- Content infrastructure that doesn't exist on day one. Most agency sites launch with a homepage and three service pages, then need a re-architecture six months later when they decide to publish content.
- Lead capture that's a single contact form with no qualification, no acknowledgment, and no downstream wiring.
The approach: a fast, SEO-first React site with a real lead-gen layer
We built quantaize.ai as a Vite + React single-page application with a production design system — fast to load, fast to iterate, and engineered for search visibility from the first commit. The same conventions Purcell Analytics uses on its own properties carried over: rigorous metadata, real structured data, deferred third-party scripts, and a measurement layer that tracks visitor intent rather than just pageviews.
A modern, fast frontend
The site runs as a Vite-built React SPA with code-splitting and asset hashing, served as static files behind a CDN. Typography (Inter, JetBrains Mono, Space Grotesk) is preconnected to Google Fonts and lazy-loaded; the dark theme uses a single hand-tuned palette anchored on QuantAIze's brand color so component styling is consistent across the site without a heavyweight UI library.
The decision to use a React SPA rather than Astro or Next.js was deliberate: QuantAIze's site is small enough that the SEO trade-off doesn't matter (every public route is pre-renderable), and the SPA shape makes it trivial for the team to add interactive lead-gen widgets — agent demos, ROI calculators, AI playgrounds — without re-architecting later. The build output is small and the critical path is short.
SEO foundation that mirrors Purcell Analytics' own
The metadata stack is built to the same bar we hold our own properties to.
Every page emits a full title / description / canonical / Open Graph / Twitter
card set; Organization and Person schema.org JSON-LD lives at the document root
with consistent @id references so the entity graph stays unified
across rich-results surfaces.
The robots and sitemap configuration reflects current ranking-signal awareness:
crawl rules permit AhrefsBot and SemrushBot (so QuantAIze can monitor its own
backlink profile from day one), the sitemap exposes <lastmod>
on every URL, and the architecture leaves room to add programmatic SEO routes
later — exactly the path we just walked Purcell Analytics' site through.
Visitor identification and lead tracking via Apollo.io
The Apollo.io website tracker is wired in from the homepage. Anonymous visitors get matched against Apollo's contact and account database where possible, so the QuantAIze team can see which companies are visiting before any form is submitted. This is the data layer most agency sites lack on launch — and the one that turns a marketing site into a real top-of-funnel lead source.
Because the Apollo tracker can compete with Largest Contentful Paint if loaded
naively, we deferred it via the standard defer + async
pattern after the page is interactive. The lead-tracking gain doesn't cost us
pagespeed.
Monetization-ready
Google AdSense is integrated with the agency's
ca-pub account configured site-wide. This isn't the primary
revenue path for an agency, but having the integration in place means
sponsored content and ad placements can be tested without engineering work
when QuantAIze decides to.
Content and lead-gen infrastructure that's ready to scale
The site ships with the routing and component primitives needed for content (blog post detail, category indexes, related-posts widget) and lead capture (contact form with structured fields, qualification logic, deduped event tracking) — even where those routes haven't been populated yet. The next time QuantAIze decides to launch a content track or a gated download, the infrastructure is already there.
This matters because the alternative is the standard agency rebuild every 12-18 months. By front-loading the architectural decisions, we avoided that path.
Outcomes
A few honest things that are true about this build:
- The site is live in production at quantaize.ai and serves as QuantAIze's primary marketing surface.
- Third-party scripts (Apollo, AdSense) are deferred via the standard async pattern so they don't gate Largest Contentful Paint — the architectural decision that lets the page hit interactive before the trackers load.
- Structured data (Organization, Person, Service) is in place, with a unified entity graph rather than the fragmented Person references most agency sites ship with.
- Visitor identification is on day-one: Apollo's tracker captures intent signals before forms are submitted, so the team has visibility into who's evaluating QuantAIze without waiting for someone to fill out a contact form.
- The architecture leaves room to grow — content publishing, lead-capture widgets, programmatic SEO routes — without a rebuild.
The stack
quantaize.ai runs on Vite + React + TypeScript with a hand-built design system, deployed as static files. Lead-gen and analytics integrations include Apollo.io visitor tracking and Google AdSense. Schema.org JSON-LD, Open Graph, and Twitter card metadata are emitted at every public route. The codebase is owned by QuantAIze; Purcell Analytics maintains it.
If you're launching an AI services firm — or any agency where pagespeed, discoverability, and lead-tracking matter from day one — that's exactly the kind of build we do. The same patterns we use on Purcell Analytics' own properties carry over directly to client work.