I turned a video library into 2,074 published URLs.
An AI-assisted content operation for a high-authority health brand — Dr. Berg’s own video transcripts became topical-authority articles at scale, moving through editorial and compliance review at every step. When a product-focused direction hit compliance concerns, I pivoted the whole operation to topical authority. The brand kept a clean record throughout.
A brand-heavy footprint, and a library going unused.
~85–90% of organic traffic came from brand-name terms.
Dr. Berg ranked for tens of thousands of keywords, but non-brand organic growth needed a deep library of topical content — fast.
The raw material already existed: Dr. Berg’s extensive video catalog. The challenge was turning that catalog into publish-ready articles at a pace no small human team could match.
The hard part wasn’t volume. It was doing it for a medical-adjacent brand without letting AI-assisted output drift into unsupported health claims that would create legal or search-quality risk.
A repeatable pipeline, governed by compliance.
Transcripts became source material, an AI system drafted long-form articles from them, and every piece moved through editorial and compliance review before publishing.
Content at Scale / Brandwell was the drafting engine. A tracker held the full work queue of 2,957 rows; a Trello board of roughly 3,000 cards was the production system of record, moving each article through defined SOP checkpoints — pre-publication SEO check, rank-tracker setup, post-publication audit.
The defining decision was compliance-first governance, not volume for its own sake. When the product-focused direction was flagged, I pivoted the entire operation to topical authority.
— Design principle · the compliance pivotThe content pipeline.
First-party transcripts flow through AI drafting, an editorial and compliance review gate, SOP checkpoints on the production board, and out to publish. The compliance gate is where the product-focused direction was caught and re-routed to topical authority.
First-party video transcripts feed the AI drafting engine (Content at Scale), producing 1,500+ word drafts. Every draft passes an editorial and compliance review gate enforcing the AI style guide and prohibited-claim rules, then moves through SOP checkpoints on the Trello board and out to publish — 2,074 URLs. When product-focused drafts were flagged, the operation pivoted to topical authority and rejoined the pipeline.
Source
AI Drafting
Editorial Layer
Production System
SEO / Research
Governance
One operation. One library. Thousands of articles.
Aug 2023 – late 2024 content operation · verified from vault verified-metrics.
Governance over vanity counts: of 2,957 tracked rows, 2,074 shipped as live topical-authority URLs, each moving through defined SOP checkpoints on the ~3,000-card production board. The operation’s defining moment wasn’t a number — it was catching a product-focused direction before it created exposure and re-routing the entire pipeline to topical authority.
What the operation produced — and what it didn't.
Two separate ledgers. The left is this content operation’s verified output. The right is four years of engagement context, shown to frame the surface the operation worked on — not attributable to the content machine alone.
2,074 topical-authority URLs, under review at every step.
- 2,074 published URLs built from the brand’s own video library.
- Every article passed an editorial + compliance reviewed pipeline.
- A product-focused direction was caught and corrected before it created exposure.
- Coordinated through a ~3,000-card Trello board as the system of record.
- Clean record maintained: zero Google penalties, zero manual actions, zero FDA/FTC content incidents.
The broader Dr. Berg engagement (May 2022 – Apr 2026).
- Organic traffic grew ~57K → ~181K monthly visits (+217%, Ahrefs full-period).
- $8.86M in GA4 organic revenue attributed (Jul 2023 – Mar 2026).
- Content was one input among technical SEO, internal linking, schema, and a backlink program.
These are engagement-wide outcomes shown as context. The content operation contributed to them but is not solely responsible for them.
Three shifts, at a glance.
How the machine ran.
The transcript-to-article pipeline stands up: source library, AI drafting engine, tracker, and the Trello production board as the system of record.
Dr. Berg's internal team flags product-focused articles for compliance concerns. I pause that direction and pivot the entire operation to topical-authority content.
Articles move through the SOP checkpoints — pre-publication SEO check, rank tracker, post-publication audit — building the brand's topical footprint.
The operation pauses for the WordPress VIP CMS migration. 5,147 draft posts remain on the Dev2 environment, not migrated.
The same production board was later picked up by the Keystone agent for SOP execution — meta-title fixes, keyword tagging, post-publication audits.
I built the system and governed it.
I designed the transcript-to-article pipeline, stood up the tracker and the Trello board as the system of record, and defined the SOP checkpoints every article passed through.
I enforced the AI Style Guide — voice, prohibited phrasing, prohibited health recommendations — and when Dr. Berg’s team flagged the product-focused direction, I made the call to pivot the entire operation to topical authority. I was the architect and operator; the AI drafting tool and the review layer were components I assembled and governed.