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For consultancies, brokerages, and research firms

Turn your data into pages Google ranks and AI engines cite.

Your own research and white papers, or public data in your field that anyone could download and nobody has read. I build the engine that turns it into content sounding like you, then hand you the keys.

The last build drove 20x search impressions in 110 days, written from public building-permit records.

Full builds start at $27,500 and end with a system you own. Start smaller with a four-week Pilot at $12,500.

Built by a 20-year Associated Press content-systems veteran.

The Content Engine turns a company's strategy, voice, and expertise into quality-gated content for its site and social channels.

Why I built it

Give your content lead a running start.

The source material is already there. I build the engine around it in 3 to 4 weeks, then hand over the keys.

01

Find the stories only you can tell

The engine starts with what you can reach that competitors cannot bother to: your datasets, your records, your client work. Then it builds a roadmap around the questions your buyers are already asking.

02

Keep the work recognizable

Voice rules and a quality gate keep weak claims, repeated ideas, and machine-writing tells out of the drafts you review.

03

Keep the system

Your team owns the engine, its files, and the publishing workflow. Run it in-house or keep me on for production.

Branded charts and custom graphics are available as an add-on. They increase the build scope and price.

Proof from shipped engines

Two builds show what the engine can do.

Juniper Real Estate

20x search impressions in 110 days

An agency stalled for months while Juniper's search traffic stayed flat. I rebuilt the site with the engine. Daily impressions went from about 40 to more than 1,500, and organic clicks grew 4x in the same window.

Read the Juniper case study →

Level Up Product

Five approved posts from twenty years of product work

Jon Shutt built products at Disney, MLB, and Perry Street for 20 years, but his consultancy went quiet for a year. The engine turned his own stories into five approved posts before the work wrapped.

“A lot of the edits already feel really close to what I would want anyway.”
Read the Level Up case study →

Built for AI search too

Google ranks these pages, and ChatGPT, Claude, and Perplexity cite them too.

Search is splitting. People still Google, but more of them now ask an AI system directly, and those systems answer by citing pages they can parse. Juniper's permit guide, written from public records, is already turning up as a source in live answers.

ChatGPT answering a North Park San Diego coffee query with Juniper Real Estate's engine-built guide cited in its sources
ChatGPT cites the engine-built North Park coffee guide.
Claude answering a San Diego neighborhood query with Juniper Real Estate's page pulled in as a source
Claude pulls the same Juniper page as a source.
Perplexity listing Juniper Real Estate among the sources for a San Diego search
Perplexity lists Juniper among its cited sources.

Start with the site

A quick review decides where you start.

I review the site first. Most sites can already carry new work, so that review just sets the Pilot's mix of finished content and light repairs. If the technical setup is badly broken, I fix that first as its own scoped engagement.

First

Website review

I check crawlability, indexing, speed, broken links, SEO config, schema, and the pages new work will build on.

Usually

The Pilot

$12,500, four weeks. The review sets how much goes to finished content versus repairs, so most sites start here.

If it's serious

The Foundation

Scoped and quoted on its own when repairs alone would take longer than four weeks. The Pilot or the engine follows after.