Dakota Nunley, Director of Content & Authority Strategy at Product.ai
Director of Content & Authority Strategy

Dakota Nunley

Director of Content & Authority Strategy · Product.ai

A decade-long content and authority operator — Inc. columnist · Greatness Media · Udacity · Copy Buffs co-founder — now building the earned-authority engine that makes Product.ai a cited source for verified commerce, for journalists and AI answer engines alike.

Published 180+ bylines across Inc. and Forbes and rose from prospective to top Inc. columnist in under 11 months. Turns proprietary data into research the open web cites — and ships the measurement and publishing infrastructure himself. A strategist who codes the substrate too.

LinkedIn → Portfolio → Inc. column →
Tenure
Founding era · 10-yr operator
Based
Los Angeles
Owns
Content & authority strategy · earned media · AEO
Prior
Udacity · Greatness Media · Copy Buffs · Inc.
180+
Bylines published across Inc. and Forbes
<11mo
From prospective to top Inc. columnist
2M+
Views on his Inc. column
6.4M
YouTube views driven at Udacity in 12 months
About

A 10-year content and authority operator who turns proprietary data into research the open web cites — and now ships parts of the publishing and measurement infrastructure himself.

180+
Inc. + Forbes bylines
170+
Inc. columns, 2M+ views
6.4M
YouTube views at Udacity (12 mo)
$0→$100K
Copy Buffs agency build
The range

01 · 10-year discipline

Long-form Authorship

180+ bylines across Inc. and Forbes; editorial lead on a New York Times bestseller launch. The craft layer that makes Tier 1 editors actually publish you.

02 · 10-year discipline

Earned Media & Digital PR

Data journalism plus Tier 1 outreach on a standing cadence — turning original research into placements that earn authority for months, not minutes.

03 · Sharpened at Product.ai

Entity & Authority Architecture

Treating the company’s surfaces as one reinforcing presence on the open web — structured data, knowledge-panel orchestration, consistent canonical facts.

04 · Sharpened at Product.ai

Answer-Engine Optimization

The architectural layer between proprietary data and what AI engines ingest — schema, citation tracking, measurement. Built for the era when agents decide what gets recommended.

05 · Off the matrix

Founder Thought Leadership

Ghostwrites at the founder-thesis layer across columns and social. Comfortable holding the byline and the pen behind it at the same time.

06 · Off the matrix

Content Engineering

Self-shipped the research-publishing build and the measurement dashboard. A strategist who codes the substrate, not just specs it.

Marquee stops

From Inc. columnist to authority architect — one continuous arc.

2025 → Now · Product.ai
Product.ai
Director of Content & Authority Strategy
Builds the earned-authority engine for verified commerce: original research, digital PR, and answer-engine optimization aimed at making Product.ai a source journalists and AI engines cite. Runs the program at scale with a small pod and AI leverage — and ships parts of the publishing and measurement infrastructure himself rather than handing every build to engineering.
Authority architect
Before Product.ai
2022 → 2023 · Udacity
Udacity
Content Strategy · B2C
Designed and ran the B2C content strategy. Revamped the YouTube channel to 6.4M video views and 32K new subscribers in 12 months, and built the webinar program from zero. A key author on Udacity’s AI and ML thought leadership.
B2C content architect
2021 → 2022 · Greatness Media
Greatness Media (Lewis Howes)
Senior Copywriter & Content Manager
First in-house writer at the company. Launched greatness.com from scratch as editorial lead and served as head ghostwriter for The School of Greatness — a top-50 global podcast. Built the brand voice and tone guide; supported a New York Times bestseller launch during his tenure.
Bestseller launch · top-50 podcast
2017 → 2021 · Copy Buffs
Copy Buffs
Co-Founder · Content Marketing Agency
Co-founded and scaled the agency from $0 to $100K. Built end-to-end email journeys for 600K-customer brands, ghostwrote for Forbes Council members, and ran the Medium-to-Inc. flywheel as a client-acquisition engine.
Founder · $0 → $100K
2016 → 2019 · Inc. Magazine
Inc.com (Inc. Magazine)
Columnist (regular → top contributor)
Published 170+ columns on content marketing, social strategy, and thought leadership, generating 2M+ views. Rose from prospective to top columnist in under 11 months — the proof case for his own thesis: earned-media authority compounds when the craft is real.
Top columnist · 2M+ views
2014 → 2019 · Medium
Medium (The Startup · Mission.org)
Self-Published Strategist
Built a following from zero writing about copywriting, social, and pillar content. Used Medium as the flywheel — researched and pitched conference coordinators, then landed his first paid speaking gig and his Inc. column acceptance within 48 hours of each other in May 2017.
First-principles audience builder
The flywheel

Proving the craft before pitching it.

In 2014, Dakota started publishing on Medium under The Startup and Mission.org — pillar content, copywriting craft, the physics of social marketing. No audience. No platform. Just a thesis: earned-media authority compounds if the work is real, and anyone willing to do the work could prove it.

He spent two and a half years testing it — niching down as a go-to social-media voice, researching conference coordinators, sending personalized pitches. In May 2017, two milestones landed within 48 hours of each other: regular Inc.com columnist and first paid speaking gig.

From there: 170+ Inc. columns, 2M+ views, then Copy Buffs scaled $0 → $100K on the strength of that signal. The flywheel became the playbook. Today he runs the same physics at company scale — except now the proprietary input is verified commerce data and the audience includes the AI engines that decide what gets recommended next.

Most people think every speaker was contacted by the coordinator. Often that’s not true — the speaker was the one who pulled the trigger. Dakota, on becoming an Inc. columnist (Medium, 2017)
Operating code

Principles that show up across his shipping and his bylines.

01 Orientation

Earned authority compounds. Vanity metrics decay.

Every Tier 1 placement, every citation win, every knowledge-panel trigger earns interest for months. Build assets that keep earning long after the push.

“I want to build the thing that makes Product.ai the definition of verified commerce intelligence — in the era when AI agents became the shopping interface.”

02 Tension

Scale and craft. Both. Simultaneously.

Volume without craft is spam; craft without scale is hobbyist. The bar is enterprise-grade output from a small pod plus AI leverage — without letting the work regress into generic, machine-shaped content.

“Craft in the sentence, the headline, the data visualization, the pitch — that’s what makes Tier 1 media actually cite us.”

03 Method

Evidence over opinion. Not best-practice theater.

Decisions grounded in data and verified physics. Research is shaped by where no one has measured yet — mapped before the work fields, not rationalized after.

“The numbers that earn citations aren’t accidental discoveries. They come out of mapping where no one had measured.”

04 Posture

The architect who still ships.

Architecture is most of the role. But the work still has to change reality — producing and publishing isn’t beneath the job, it’s part of it.

“I architect the strategy and execute on it — drafting campaigns, shipping studies, writing the architecture behind them, running the pitch.”

05 Pull

Pull-forward aggressively.

Landing a Tier 1 placement now earns citations for months. Waiting on a far-off timeline for earned media is leaving authority on the table.

“Make the people care. Don’t expect them to.”

06 Bar

Truth over theater.

Research journalists actually cite. Structured data that engines actually ingest. If a report argues that AI commerce needs verification, the report itself has to be verifiable — open methodology, open data, every claim anchored.

“If the report isn’t verifiable, it contradicts its own argument. We build it the way the conclusion demands.”

Published thinking

A decade of bylines under his own name and behind others’.

The Inc. column, the Greatness.com launch, the Udacity thought-leadership program, the self-built Medium audience — every piece a deposit in the earned-authority account.

Inc. Magazine 2016 → 2019

170+ columns on content, marketing, and thought leadership

Rose from prospective columnist to top contributor in under 11 months — 2M+ views. The flywheel that bootstrapped Copy Buffs and proved his own pitch.
Greatness Media 2021 → 2022

Launched greatness.com from scratch as editorial lead

First in-house writer at Lewis Howes’ company. Head ghostwriter for The School of Greatness (top-50 global podcast). Built the brand voice and tone guide; supported a New York Times bestseller launch.
Medium · The Startup · Mission.org 2014 → 2019

Essays on copywriting, social, and pillar content

The self-built audience that became the proof-of-craft surface earning the Inc. columnist invitation. Audience as flywheel, built from zero.
Portfolio · dakotashane.com Selected work

A decade of content and authority work

The selected-work archive — columns, brand launches, agency campaigns, and ghostwriting across a ten-year career.
What sets him apart

Six combinations rare individually. Unusual to find in one operator.

Authority architect and infrastructure builder

Most authority directors stop at the strategy and the pitch. Dakota ships the schema, the measurement dashboard, and the research build himself — strategist and technical peer in one profile.

A proven flywheel, applied at company scale

Bootstrapped from Medium → Inc. → a $0→$100K agency → Greatness.com → Udacity. Now running the same physics — earned authority compounds when the craft is real — with verified data as the input.

Built for the answer-engine era

Treats the company’s surfaces as one reinforcing presence on the open web, engineered for the moment AI engines — not just search — decide what gets cited and recommended.

Research designed to be cited

Original studies shaped backwards from where no one has measured — then built verifiable, with open methodology and open data, so an editor or an AI engine can cite them directly.

Enterprise output from a small pod

The explicit thesis: a small team plus AI leverage can out-operate a communications org many times its size — standing programs running on cadence, not headcount.

Ghostwriter for founders and the founder thesis

180+ bylines under Inc. and Forbes; head ghostwriter on a top-50 global podcast. Comfortable holding the byline and the pen behind it at once.

The career history here is publicly verifiable — the Inc. column, the bylines, and the published work are on the open web. See the record →
The through-line

Identify the authority gap. Do the work to earn the citation. Compound the deposits until Product.ai is what people — and AI engines — cite for verified commerce. He has run the same play from a Medium account to an Inc. column to greatness.com; now he runs it at company scale.

Product.ai builds with operators like Dakota — people who do the work that earns authority instead of buying it. See open roles →

Get in touch with Dakota See the team