For Marketing Leaders

Ship Content That Sounds Like You, Not Like AI

Your content team of 2 needs the output of 5. ChatGPT gives you off-brand garbage nobody wants to publish. You paste the positioning doc into every AI chat, re-explain the audience every time, and still rewrite 80% of what comes back. One system learns your voice, remembers your audience, and compounds with every piece you publish.

The content tax nobody budgets for

You paste the positioning doc into every AI chat

Same context. Every session. Your brand voice, ICP, competitive positioning, product updates — re-explained from scratch because the tool has no memory. Your team does this 10+ times per week.

AI content sounds like AI content

ChatGPT produces passable drafts that read like every other B2B SaaS blog. No edge, no voice, no operator credibility. You rewrite 80% of it — at which point, why did you use AI?

Your team tried AI tools and gave up

They spent 2 months with Jasper or Writer. Output quality never got past "fine." Team stopped using it. Now you're back to manual production with twice the content expectations and the same headcount.

1 idea stays 1 piece

You wrote a great blog post. It should become a LinkedIn carousel, a newsletter section, an email nurture, and 3 social posts. Instead it stays a blog post because repurposing takes almost as long as writing from scratch.

The math changes

Before

Blog post draft

4-6 hoursRe-explain context every session

Content repurposing

2+ hours per derivativeManual rewriting, format by format

Competitive content

WeeksAlways reactive, never proactive

Brand voice consistency

ImpossibleEvery tool outputs generic B2B

After

Blog post draft

45-90 minutes/produce-content with loaded voice

Content repurposing

10-15 min per derivativeSocial + carousel generators

Competitive content

30 min per update/competitive-positioning

Brand voice consistency

Enforced by the systemVoice standards loaded once

Side-by-side: ChatGPT output vs. STEEPWORKS output from the same brief

Skills your content team actually uses

Content Production

Full blog posts, newsletters, and long-form content — in your voice, with your positioning loaded.

Voice standards, anti-slop enforcement, and editorial quality gates built in. No more "make this sound less like AI." The system knows how you write.

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Editorial & Polish

7-pass editorial sweep — clarity, voice, proof, specificity, emotion.

Not "fix grammar." Applies operator edit pattern: cut anything serving structure, add anything proving practice. Catches AI-voice creep before you publish.

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Social & Repurposing

1 idea → LinkedIn post, carousel, newsletter block, email nurture. 10 minutes, not 2 hours.

Reads the published piece, extracts the argument, and reformats for each channel. Voice stays consistent because the system carries the same standards across formats.

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Newsletter Production

Multi-agent newsletter pipeline — research, debate, draft, edit. Weekly cadence, one person.

89 issues published. Agents research, evaluate, and debate before a word gets written. You edit the final draft, not the first one.

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SEO & Content Strategy

Keyword clustering, SERP analysis, content gap detection. Strategy before production.

Identifies what to write before you write it. Semantic clustering groups related keywords. Cannibalization checks prevent you from competing with yourself.

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The system compounds — each piece you publish trains the voice model. Month 3 drafts are sharper than Month 1.

What happened when marketing teams started using this

90 minutes

Built a full competitive intelligence dashboard — competitor positioning, feature gaps, pricing analysis. Previously took weeks of manual research.

Lane Bernes

89 articles

Published through the STEEPWORKS content production system. Same voice standards, anti-slop enforcement, and editorial quality gates on every piece.

Victor Sowers, STEEPWORKS production metrics

10x derivative ratio

One blog post produces a LinkedIn carousel, newsletter section, 3-5 social posts, and an email nurture — in under an hour total. Same voice across every format.

STEEPWORKS content pipeline (anonymized)

53 playbooks + 8 battlecards

First month of deployment for a PE-backed industrial company. Marketing used the same competitive positioning skills to update sales enablement content.

PE-backed industrial company (anonymized)

We tried AI tools before and they produced garbage — I can't get my team to try again.
Director of OperationsMid-market fintech

Questions marketing leaders actually ask

Stop rewriting AI output. Start shipping yours.

Your voice. Your audience. Your velocity.