Head of Search Product · Product.ai
Dakota Nunley is Head of Search Product at Product.ai, owning how Product.ai and SimplyCodes, the company’s coupon site, show up in Google and in AI answers: the SimplyCodes merchant pages and Product.ai’s Truth Graph (its database of verified product facts), SEO and answer engine optimization (AEO), and the digital PR and research program that earns both brands citations. He got there through a content engineer’s mindset — a decade of earned-media craft (Inc. columnist, Greatness Media, Udacity, co-founder of Copy Buffs) that, once turned on Product.ai’s own search surfaces, became the search product itself.
Owns search as a product across two brands, and ships the measurement and publishing infrastructure himself. Published 180+ bylines across Inc. and Forbes and rose from prospective to top Inc. columnist in under 11 months — the decade of craft underneath the seat. A strategist who codes the substrate too.
Dakota Nunley runs search as a product across both of Product.ai’s brands — Google rankings and AI-answer citations alike — built on a decade of content and earned-authority craft that turned into a content engineer’s eye for the infrastructure behind it.
Treating the company’s surfaces as one reinforcing presence on the open web — structured data, knowledge-panel orchestration (shaping the info box Google shows beside search results), consistent canonical facts.
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.
Ships parts of the research-publishing and measurement infrastructure himself. A strategist who codes the substrate, not just specs it.
Ghostwrites at the founder-thesis layer across columns and social. Comfortable holding the byline and the pen behind it at the same time.
180+ bylines across Inc. and Forbes, plus a New York Times bestseller launch he supported as Greatness Media’s first in-house writer. The craft layer that makes Tier 1 editors (the top national outlets) actually publish you — and now the discipline behind pages that get cited instead.
Data journalism plus Tier 1 outreach on a standing cadence — turning original research into placements that earn authority for months, not minutes.
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 from $0 to $100K on the strength of that signal. The flywheel became the playbook, and at Product.ai it kept compounding: content and earned-authority strategy turned into shipping the measurement and publishing infrastructure himself, and that instinct for the whole system is what earned him the search product seat. Today he runs the same physics at company scale — except now the proprietary input is verified commerce data, the surfaces are the SimplyCodes merchant pages and Product.ai’s Truth Graph pages, 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)
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 be the person who made Product.ai the definition of verified commerce intelligence in the era when AI agents became the shopping interface.”
Volume without craft is spam; craft without scale is hobbyist. The bar is enterprise-grade output from a small team plus AI tools, 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.”
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.
“Evidence over opinion. I ground decisions in axioms, data, and verified physics.”
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 SEO/AEO domination strategy and execute on it — drafting campaigns, shipping studies, specifying the merchant-page tests, writing the architecture behind them, running the pitch.”
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.
“Authority compounds. Landing a Tier 1 placement now earns citations for months.”
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.
“Data studies that journalists actually cite. Entity foundation that Google actually panels. AEO schema that LLMs actually ingest. Not vanity metrics.”
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.
Rose from prospective columnist to top contributor in under 11 months — 2M+ views. The flywheel that bootstrapped Copy Buffs and proved his own pitch.
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.
The self-built audience that became the proof-of-craft surface earning the Inc. columnist invitation. Audience as flywheel, built from zero.
The selected-work archive — columns, brand launches, agency campaigns, and ghostwriting across a ten-year career.
Most search leads 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.
Bootstrapped from Medium → Inc. → a self-funded agency → Greatness.com → Udacity. Now running the same physics, earned authority compounds when the craft is real, with verified data as the input.
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.
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.
The explicit thesis: a small team plus AI tools can out-operate a communications org many times its size — standing programs running on cadence, not team size.
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.
Identify the authority gap. Do the work to earn the citation. Compound the deposits until Product.ai is what people, and the AI engines they ask, 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 →