How We Turned a Vibe-Coded SEO Experiment Into An Automated Content Engine

For CrossEven, a Chicago-based holding company behind multiple telehealth marketing brands, growth had become expensive. The answer was organic acquisition, and that's where we, EnactOn, came in: turning a promising internal AI tool into a stable, scalable platform.

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DoctorNote
Frendo
Growlity
HouseMaxxing
Leadquity
LeafyDOC
ParkingMD
Proposalbiz
Sparissimo Food
WellnessWeg
Youmii
DoctorNote
Frendo
Growlity
HouseMaxxing
Leadquity
LeafyDOC
ParkingMD
Proposalbiz
Sparissimo Food
WellnessWeg
Youmii
DoctorNote
Frendo
Growlity
HouseMaxxing
Leadquity
LeafyDOC
ParkingMD
Proposalbiz
Sparissimo Food
WellnessWeg
Youmii
DoctorNote
Frendo
Growlity
HouseMaxxing
Leadquity
LeafyDOC
ParkingMD
Proposalbiz
Sparissimo Food
WellnessWeg
Youmii
THE CHALLENGE

When Lowering CAC Became a Software Problem

CrossEven needed a way to make organic acquisition scalable without creating another expensive stack or another full-time maintenance job. Four problems stood in the way of that.

01

Paid Acquisition Costs Keep Rising

Telehealth is a crowded market. As more competitors bid on the same terms, paid acquisition became increasingly expensive. The businesses needed a channel that compounds over time.

02

Too Many Tools, Manual Hand-offs

Replacing that stack meant roughly 6-7 different products costing over $3,000-4,000 per month. Zapier added maintenance and manual steps. Betting on one vendor backfired when it pivoted.

03

Cortexx Worked. Until It Didn't.

It was a strong proof of concept, but wasn't built on the engineering foundation needed for multiple brands. As it grew, something broke almost every other day.

04

No Room for Telehealth Guesswork

Unsupported medical claims create serious search and compliance risks. Publishing 10-15 pages a day meant it couldn't generate more content. It had to generate the right content.

THE SOLUTION

We Took What Worked And Made It Even Better

Kevin Fairbanks had already proven that the idea could work. Our job was to give it the engineering foundation it needed to scale rather than replace it entirely.

01

One Flexible Multi-Model AI Layer

We moved the AI architecture to OpenRouter, working across multiple models through a unified integration, and added an image-generation router too.

02

From Prompts to Agentic Workflows

We rebuilt around specialist AI agents. Instead of asking AI to do everything in one shot, we gave it a process.

03

Uncovering What Customers Ask

Cortexx creates AI personas representing potential customers, then asks multiple models what they would search for. Those questions become content opportunities.

04

Every Piece Must Earn Publication

Before turning an idea into content, Cortexx checks existing pages for cannibalization, researches competitors and evaluates whether it adds something new.

05

Learning From Human Feedback

Experienced SEO specialists and writers review output, and their natural-language feedback becomes part of Cortexx's context. A human review layer remains.

06

WordPress and Astro, One Platform

Astro has no built-in CMS, so we added CMS capabilities to Cortexx while maintaining WordPress compatibility. Cortexx could support the migration.

THE OUTCOME

From a Cost Problem to a Scalable Acquisition Engine

Cortexx started as an internal experiment. It's now a multi-tenant platform supporting 13-14 brands, hundreds to thousands of articles and millions of impressions across search and AI.

01

From 20-Person Content Operation to 4

At its peak, the operation involved roughly 20 people. Today, around 3-4 people operate the multi-brand content engine with Cortexx handling research, ideation, drafting, optimization and publishing.

02

Millions of Search and AI Impressions

Organic visitors feed retargeting, which costs roughly one-tenth of search advertising, with reported conversion around 6 to 7%, versus an industry benchmark of approximately 0.3 to 0.4%.

03

Lower Costs and a Profitable Business

Organic acquisition costs close to zero once content is published. The client reports some products grew from under 100 to 1,000-2,000 conversions per day over a year.

Cortexx itself is an internal growth platform, so these figures describe the broader business outcomes associated with CrossEven's acquisition strategy rather than direct revenue generated by the software.

CORE CAPABILITIES

Why This Was a Perfect Fit for EnactOn

Cortexx sat at the intersection of SEO strategy and serious software engineering, disciplines that rarely live under one roof. CrossEven understood SEO. It needed an engineering partner.

01

AI Engineering

We transformed a single-model AI experiment into a flexible, agentic architecture with persistent context, specialist agents and multi-model access, built for multiple brands in production.

02

SEO + AEO + GEO

The platform was built around how people discover information today, across traditional search engines and AI systems, rather than relying only on conventional keyword-volume data.

03

Scalable Platforms

What began as a tool for one brand became a multi-tenant platform supporting 13-14 brands, with architecture designed around repeatable workflows, not one-off fixes.

04

Marketing Tech

It sits inside a marketing operation, so every decision had a business reason: lower CAC, faster content production, better visibility, fewer tools, less manual work.

By The Numbers

Secure, high-speed products built for business growth

Our software is engineered for speed, security and scalability — delivering dependable performance for businesses of every size.

13+
Years of Excellence
350+
Customers
95%
Repeat Client Rate
65+
Countries
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From a CAC Question to a Complete Organic Growth System

Cortexx started with one question: How do we reduce customer acquisition cost? The answer was an acquisition engine that could learn, create and scale. The work isn't finished.

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