Sean Fisher, AI Content Strategist at Product.ai
AI Content Strategist

Sean Fisher

AI Content Strategist · Product.ai

A data-narrative editor who pioneered an AI content program at scale before AI-citation was a category — now running the content engine that makes SimplyCodes the cited answer when an AI assistant is asked about coupon tools.

Stood up GOBankingRates’ first AI content program from scratch. 1,000+ syndicated bylines across MSN, Yahoo, and the GOBankingRates network. Now turning original platform research into studies AI systems quote and journalists run with.

Muck Rack profile → GOBankingRates archive → Checkout Gap study →
Tenure
Joined 2024 · content lead
Studio
UC Santa Barbara · Film & Media Studies
Owns
AI-citation content program · Press data studies
Prior
GOBankingRates · WebMD
1,000+
Licensed bylines syndicated across MSN, Yahoo, and the GBR network
78.8M
Live checkout tests behind the flagship Checkout Gap study
57
Broadcast runs across 35 metro areas from one media placement
27
High-authority backlinks from a single broadcast placement
About

AI-content production architect — pioneered editorial guardrails for AI at GOBankingRates, now running the program that earns SimplyCodes the AI citation.

1,000+
licensed bylines
78.8M
tests behind the Checkout Gap study
57
broadcast runs, one placement
4
content streams run in parallel
The range

01 · Carried from career

Editorial Integrity at AI Scale

The discipline he pioneered at GOBankingRates — automation-assisted creation paired with comprehensive fact-checking and editing. Truth first, throughput second.

02 · Carried from career

Data Narrative Construction

Turning quantitative findings into stories AI systems can quote and journalists can run with. 78.8M tests, one headline: “1 in 4 promo codes fails.”

03 · Carried from career

Syndication-Grade Writing

Bylines that licensed cleanly across MSN, Yahoo News, Yahoo Singapore, and the GBR network — the editorial style that travels through aggregators without breaking.

04 · Sharpened at Product.ai

Answer Engine Optimization

Designing content for how AI assistants select citations — the “citation physics” that makes SimplyCodes the natural answer to a high-intent query.

05 · Sharpened at Product.ai

Program Orchestration

Running four content streams concurrently — article cadence, press studies, citation-recovery rewrites, and broadcast — without dropping a deadline.

06 · Now emerging

Content System Architecture

Moving from per-piece execution to building the production system — frameworks, briefs, automation — so the content machine scales without him as the bottleneck.

Marquee stops

From WebMD’s copy desk to running an AI-citation content program.

2025 → Now · Product.ai
Product.ai
AI Content Strategist · Senior Data Narrative Lead
Owns the content engine that earns SimplyCodes the AI citation. Runs four streams in parallel: an answer-engine article cadence backed by original platform data, flagship press data studies (a 1,000+ shopper trust survey and a 78.8M-test Checkout Gap study built for journalist coverage), a citation-recovery rewrite of the highest-decay pages, and broadcast placements that drop high-authority backlinks. Now building the production system itself so the program scales past one writer.
AI-citation content engine
Before Product.ai
~2022 → 2024 · GOBankingRates
GOBankingRates — Junior Editor → AI Editor
Pioneered the AI content program
Stood up the company’s first AI content program from scratch — automation-assisted creation with comprehensive fact-checking and editing before publication. Bylines reached millions of readers and licensed across MSN, Yahoo News, Yahoo Singapore, and the GBR network. Coverage spanned personal finance, retirement, tax strategy, investment guidance, and debt management.
1,000+ licensed bylines
~2020 → 2022 · WebMD
WebMD — Copy Editor / Proofreader
Editorial integrity in a regulated field
Career origin. Edited digital advertisements and medical articles for pharmaceutical brands. The detail-oriented, regulated-content foundation that shaped his bar for editorial accuracy long before AI tooling changed the production model.
Regulated-content foundation
~2018 → 2020 · UC Santa Barbara
UC Santa Barbara — Film & Media Studies
BA · English minor
Graduated UCSB with a BA in Film & Media Studies and a minor in English. The narrative-structure training that shows up in every data study — finding the story the numbers want to tell.
Narrative-structure training
Origin · Orange Coast College
Orange Coast College
AA · English
The first credentialed step into a writing career. Editorial discipline starts here.
First credentialed step
The reframe

Engineer the citation — don’t pitch for it.

Most content people earn citations by pitching journalists. Sean’s bet is structurally different: design the content so the citation is the most natural answer the AI can give. Same goal, opposite mechanism.

Pick a query that matters — “what’s the best coupon tool” — and engineer the content surface, the data backing, and the structural patterns until the cited answer is SimplyCodes. Then move to the next query. The metric isn’t impressions; it’s whether the AI picks SimplyCodes.

The work underneath the citation: the article cadence, the press data studies built on original platform data, the rebuild of the highest-decay pages, and the broadcast placements that drop high-authority backlinks. Four streams. One scoreboard.

I want to be producing market-moving reports that establish SimplyCodes as the undisputed Bureau of Retail Stats for the global AI ecosystem. Sean, on the career direction
Operating code

Six principles that show up across his work and his self-authored growth doc.

01 Method

Forensic on the data, then ship at scale.

High velocity but zero compromise on the data being bulletproof — the argument over the numbers happens before the article ships, not after.

“I thrive when collaboration is forensic — we argue over the data points until they are bulletproof, then ship at scale.”

02 Mode

Deep AM blocks for the alchemy.

Best work happens in long uninterrupted morning sessions disappearing into the data and the drafting — not in syncs, not in fragments.

“I do my best work in Deep AM blocks where I can disappear into the data and drafting without interruptions.”

03 Handshake

Async-first, narrative-target clear.

Clear documented handshakes over long syncs — give him the raw data and the narrative target, and he iterates in the open.

“Give me the data and the narrative target, and I will iterate rapidly in the open.”

04 Orientation

Win the citation war, not the impression war.

A citation by a Tier 1 journalist or a top-tier AI agent picking the answer is the metric that fuels everything — not traffic, not rankings.

“Seeing our data study cited by a Tier 1 journalist or chosen as the canonical answer by a top-tier AI agent is my primary fuel.”

05 Trajectory

From customer of data to architect.

Learning to query the underlying data directly to remove dependencies and multiply production velocity.

“I need to stop being a customer of data and start being the architect.”

06 Endgame

Build the machine, not just the content.

Moving from per-article execution toward the production architecture — system designer, not bottleneck.

“I’m moving from pure execution toward building the production architecture — the frameworks, briefs, and automation that let the content program scale.”

Built in the open

The open-web work behind the citation rate.

Original data studies, a public retailer index, and a syndicated byline footprint — the citable artifacts AI systems and journalists pull from.

SimplyCodes · Data study 2026

Why coupons actually fail, according to 78 million promo code tests

The Checkout Gap study. 1 in 4 promo codes fails at checkout — backed by platform data at industry-unique scale and built for Tier 1 journalist coverage.
SimplyCodes · Data study 2026

Are Influencer Promo Codes Still Worth It? We Analyzed 900,000 To Find Out

Opened a new topic category. 900,000 codes analyzed — the kind of specific, citable finding an AI system can pull as the answer.
SimplyCodes · Index 2026

Top 100 Retailers for Promo Codes (2026) — Merchant Score Index

A merchant-scoring frame published as a public index — a ranked, AI-citable artifact engineered to become the canonical answer.
SimplyCodes · Methodology 2026

SimplyCodes Verification Explained: How Codes Are Tested

The methodology piece that anchors the brand’s verification claim. Trust-layer content engineered for AI pickup.
GOBankingRates · Archive 2022→2024

Sean Fisher, AI Editor — author archive

The byline archive from the era he pioneered the AI content program — automation-assisted creation paired with editorial fact-checking before publication.
Muck Rack · Journalist profile Ongoing

1,000+ licensed articles

Bylines licensed across MSN, Yahoo News, Yahoo Singapore, and the GBR network. The syndication footprint behind the byline number.
What sets him apart

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

Pioneered an AI-content program before joining one

Stood up GOBankingRates’ AI program from scratch — building editorial guardrails around AI tooling before AI-citation was a category. Came to Product.ai with the playbook already shipped once.

Regulated-content origin, syndication-grade output

The WebMD copy-desk foundation translates into the discipline behind a 78.8M-test study going to press. Detail rigor plus writing that travels through aggregators.

Four concurrent streams without dropping a deadline

Article cadence, press studies, citation-recovery rewrites, broadcast placements — four programs running in parallel toward one outcome. Most content people run one.

Citation as the metric, not impressions

Most content programs measure traffic, rankings, or social. Sean’s scoreboard is whether the AI picks SimplyCodes as the cited answer. Different metric, different content design.

Original research at industry-unique scale

A 78.8M-test checkout study, a 1,000+ shopper trust survey, 900,000 influencer codes analyzed — the kind of platform-scale data that earns earned media instead of buying it.

Writer in transition to system architect

Explicit growth direction: stop being the bottleneck on every draft. Building the production system itself — frameworks, briefs, automation — so the content machine scales.

The career record on this page is independently verifiable — the byline footprint, the data studies, and the publication history are all on the open web. See the record →
The through-line

The editor who turned a junior-editor seat into an AI content program is now engineering the content machine that wins SimplyCodes the AI citation — one scoreboard, four streams, and a writer moving from execution to architect.

Product.ai builds with operators like Sean. See open roles →

Get in touch with Sean See the team