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Content Marketing

Content that earns its place
against a million AI-generated articles.

The game changed. LLMs produce infinite mediocre content at near-zero cost, Google penalizes generic writing, and AI Overviews eat click-through on informational queries. What works now: fewer, better pieces built on original data, deep expertise, or contrarian perspective. That's what we make.

Fewer
pieces, better ones — not content calendars
2–4
pillar pieces / month is a realistic pace
100%
content with real human editing, always
0
AI slop we'd let ship under your name

Straight talk: the 2018 content playbook is dead

For a decade, content marketing meant "publish consistently and Google will reward you." Two blog posts a week. Keyword-stuffed. Thin. It worked, for a while. Those days are over.

Google's Helpful Content updates penalize generic writing aggressively. AI Overviews answer informational queries without sending traffic to the sources. Every competitor can now produce mediocre AI content in minutes. Volume-based content marketing doesn't work against an infinite supply of AI-generated articles — the floor has risen and mediocre no longer ranks.

What still works: content humans actually care about. Original research. Real data. Specific expertise. Contrarian perspectives. Definitive guides. The economics have flipped from "volume beats quality" to "quality beats volume by a factor of ten." That's what we help clients publish.

What we publish

Five content types that still work in 2026.

Not a content calendar. Not a weekly schedule. Five specific formats that survive Helpful Content updates, get cited by AI, and actually earn links. We pick which ones fit your business — most clients run 2–3 formats, not all five.

01

Original research + data reports

You survey your customers, analyze your internal data, or run a study nobody else has done. The output: a defensible piece of content nobody else can write — because nobody else has the data. These earn links, get cited by LLMs, and rank for queries where everyone else is regurgitating the same secondary sources.

Examples
  • Industry benchmark reports (from your anonymized customer data)
  • Annual state-of-the-industry reports
  • Original surveys of customers or prospects
  • Data analysis from your product or platform
Fit

Best for: businesses with data, customers, or a unique vantage point

02

Definitive long-form guides

The 8,000-word guide to one specific topic, written to be the best resource on the internet for that query. Not "ultimate guide" fluff — genuinely complete coverage, structured for reference use, with specific claims and real examples. These are what LLMs pull from and what other sites link to.

Examples
  • Category-defining guides ("The complete guide to X")
  • How-to content with genuine step-by-step depth
  • Comparison content (X vs Y vs Z, honest tradeoffs)
  • Glossaries and reference content for your category
Fit

Best for: SEO + AEO, when buyers research before they buy

03

Contrarian takes + thought leadership

The post that argues against conventional wisdom in your industry, backed by specific reasoning and real examples. These earn the strongest engagement and the most links — because they're genuinely worth sharing. Every page on this site is an example of the approach.

Examples
  • Arguments against industry conventional wisdom
  • Rants about specific practices (with real reasoning)
  • "What we got wrong" / lessons-learned posts
  • Responses to influential industry posts
Fit

Best for: building brand authority, earning backlinks, standing out

04

Case studies + specific customer stories

Not "Acme Corp increased revenue 30%" — actual narrative case studies that walk through the problem, the attempt, what worked, what didn't. Specific enough that prospects can see themselves in the story. These are among the highest-converting content types that exist.

Examples
  • Detailed customer success narratives
  • Before/after redesigns with real numbers
  • Post-mortems on campaigns that worked or failed
  • "How we would have done it differently" reflection pieces
Fit

Best for: converting the bottom of funnel, closing sophisticated buyers

05

Video + podcast content

We don't produce video end-to-end (that's a different agency), but we handle strategy, scripting, and the repurposing flow that turns one long interview into 15 short-form assets across LinkedIn, X, YouTube Shorts, and a written blog post. Video-first brands get this wrong constantly.

Examples
  • Podcast strategy + content planning
  • Interview-format content with industry guests
  • Short-form repurposing from long-form source
  • Video blog posts (high-effort, high-reward format)
Fit

Best for: founder-led brands, B2B with subject-matter experts

Scope we refuse

What we refuse to publish under your name.

The easiest content engagements to sell are the ones most likely to hurt you. If an agency is eager to publish these, they're prioritizing their margin over your results.

Unedited AI-generated posts

LLM-drafted articles published with light human review. Every site doing this at scale is getting downgraded by Helpful Content updates, and AI is getting better at detecting its own output. Content agencies quietly shipping AI slop are stealing from their clients.

Generic industry commentary

"5 tips for better marketing" think-pieces that don't have a specific angle, specific data, or specific opinion. These have been devalued for five years. Volume of generic content is not a strategy — it's a waste budget that feels productive.

Keyword-first content that ignores readers

Content built backward from a keyword research report, optimized for search volume, written to hit a word count. This approach was marginal in 2020 and is actively penalized now. Keyword research still matters — as input, not as brief.

Ghostwritten thought leadership for execs who don't read it

Content published on an executive's personal account that the executive has never seen. Audiences can tell. Algorithms are starting to tell. We won't build someone's personal brand on posts they didn't actually write or approve.

AI + content

How we use AI in the content process (honestly).

It would be dishonest to claim we don't use AI. Every credible content team uses it somewhere in the workflow — and teams that refuse to are slower, not necessarily better. What matters is where and how.

Where we use AI: outline generation for long-form, first-draft scaffolding we heavily rewrite, research summarization, editing passes (grammar, structure, redundancy), idea brainstorming, and repurposing long-form into short-form. These are the parts of the workflow where AI adds speed without killing quality.

Where we don't use AI: the argument, the original research, the specific examples, the contrarian take, the industry expertise, the editorial judgment, the voice. These are exactly the things that make content worth reading — and what AI can't credibly produce on its own. A piece that's 80% AI and 20% human sounds like AI. A piece that's 80% human judgment and 20% AI assist sounds human.

"AI is a tool in the workflow, not a replacement for the workflow. The content that works in 2026 is built by humans with AI assistance — not AI with human supervision."

How it fits

Content is the input. SEO, AEO, and Email are the outputs.

Most content agencies stop at publishing. The ROI of content isn't in the publishing — it's in how it works across the rest of the marketing stack. We build content with all the outputs already in mind.

Feeds SEO

Every piece is built with target queries, topic cluster architecture, and internal linking in mind from the outline. Not bolted on after.

SEO approach

Feeds AI search (AEO)

Structured with clear claims, sourced data, and citable formatting. LLMs pull from content like this more often than from thin blog posts.

AEO approach

Feeds email + social

One long-form piece gets repurposed into newsletter segments, email nurture touches, and social posts. Content compounds across channels.

Email approach
How we work

A five-stage process that starts with strategy, not a calendar.

01

Strategy + topic architecture

We map topic clusters, identify queries worth targeting, and pick the 4–8 pillar topics that will anchor your content. Not a calendar of 40 posts — a focused bet on a handful of topics we'll go deep on. Depth beats breadth every time.

Week 1–2
02

Research + angle development

For each piece, we dig into what already exists, what's missing, and what angle actually adds to the conversation. If we can't find an angle worth publishing, we'll say so — and move to a different topic.

Ongoing
03

Drafting + subject-matter input

Draft is built by our team with input from your subject-matter experts. For technical or regulated industries, we'll schedule 30-min interviews per piece to extract expertise — this is where content stops sounding generic and starts sounding like you.

Per piece
04

Editing + fact-checking

Editorial pass for structure, voice, and argument. Fact-checking for any claim with a number attached. Linking to sources for anything sourced. This is the step most content agencies skip and most content fails because of.

Per piece
05

Publishing + distribution

On-page optimization, schema markup, internal linking. Then the distribution flow — social, email, outreach. A piece that publishes without distribution is a tree in a forest. We plan distribution before we write, not after.

Per piece
Reporting

Traffic is a vanity metric. Here's what we actually track.

Publishing volume means nothing. Traffic growth doesn't always mean revenue growth. We track what actually signals content is working for the business.

Metrics we deprioritize

  • Total pageviews (without context)
  • Posts published per month
  • Social shares + likes
  • Average time on page (easy to game)
  • Keyword rankings for vanity terms

Metrics we lead with

  • Organic traffic on commercial-intent queries
  • AI citations + mentions in ChatGPT / Perplexity / Overviews
  • Leads attributable to content pieces
  • Referring domains earned per piece
  • Pipeline and revenue influenced by content
  • Content's role in MQL → SQL conversion
Common questions

Content marketing FAQs

Pillar content programs typically run $5K–$15K/month depending on volume and depth. At the lower end, 2 pillar pieces per month with supporting distribution. At the higher end, 4 pillar pieces plus research, podcast support, and repurposing across channels. Below $3K/month, we can't produce content at the quality that actually ranks in 2026 — we'd rather decline the work than ship mediocre output.

Want an honest audit of
your existing content?

Send us a link to your blog. We'll audit what's ranking, what's thin, what's worth updating, what should probably be deleted, and which topics have the highest-leverage gaps. No pitch deck attached.