Your best marketing assets are collecting dust. We built a system that puts them to work.
by Joe Sullivan, Managing Member and Co-Founder published on November 12, 2026
Get our Industrial Marketing Newsletter
Get our Industrial Marketing Newsletter
A few weeks ago I was talking with a manufacturer that’s been building equipment for more than 100 years.
Its most underused asset is an engineer who’s been with them for 49 years. Oh, and they mentioned off-hand that a machine they built 50 years ago is still running in the field.
But if you look at their website, you won’t find any of it. Not the engineer’s name. Not the longevity of their machines. Not their history as a company.
Most manufacturers I talk to have their own version of this story.
Think about what you’ve already got sitting around:
The sales calls your reps have with buyers every month, where buyers tell you exactly what they’re worried about
Product spec sheets and old proposals in a OneDrive folder somewhere
Manuals, white papers and technical guides
Decades of experience on your sales, product and service teams
Now think about how much of that a buyer vetting you on your website would actually find.
You’re not alone if you just shifted in your seat a little.
Here’s why it matters more than it used to
Buyers do most of their homework before they ever call you. That was true five years ago. What’s changed is where they do it — it’s no longer just Google and their peer network.
When one of them asks ChatGPT who makes the best version of what you sell, ChatGPT answers from whatever it can find and read. If your expertise lives in a 49-year veteran’s head and a PDF nobody’s opened since 2016, you’re not in that answer. Somebody else is.
(I wrote more about how the buying process has changed, and what to do about it, here.)
Most manufacturers I speak with have this same problem:
Deep subject matter knowledge exists.
But it isn’t visible.
And you don’t have the people or the hours to dig it all out and publish it.
We spent this year building a system to fix it.
Let me introduce your Company Brain
Your Company Brain is an AI-friendly database of everything that makes it obvious your company is the right choice, all in one place:
Your sales call recordings and notes
Interviews with your engineers
Past proposals and quotes
Spec sheets, manuals and white papers
Brand guidelines and goals
Company strategy and priorities
We gather what you’ve already created. Then we look for the gaps:
Does your positioning say when a buyer would be foolish not to choose you?
Do we really understand what triggers your buyers to buy, and where you win and lose in their eyes?
Where would 20 minutes with your top engineer turn a decent article into the most helpful piece on the internet on that topic?
The first version of your Company Brain comes together in the first month or two of working together, with a few known gaps. And then we close those gaps one workshop, interview and project at a time.
Our team has spent thousands of hours with manufacturers selling to buyers like yours. That shapes the questions we ask your engineers, customers and sales team. It also helps us catch what’s missing and say when an idea isn’t worth pursuing (because we’ve tried it before).
Then we put your brain to work. Every job it does runs through a skill. A skill is a repeatable AI workflow that does one thing well, built and refined by a marketer who’s done that job by hand for years. A human strategist reviews the output before you ever see it. When your team makes a correction, it gets logged in your voice and preferences file, and every skill reads that file before it writes. So the interview we do for one article feeds the next one, and your edits stick.
What you have
Sales call recordings and notes
Interviews with your engineers
Past proposals and quotes
Spec sheets, manuals, white papers
Brand guidelines and goals
Company strategy and priorities
→
Your Company Brain
We distill your context, package it the right way and keep it current
Your engineers’ answers
Your buyers’ questions
How your company talks
Your growth goals
AI skills built by marketing experts
→
What it helps us do
Sales proposalsFirst drafts after each call
Technical articlesBuilt from engineer interviews
Showing up in ChatGPTRanked buyer questions to answer
Make better decisionsDeeper buyer insight behind every priority
Anything else marketing or sales needsEmails, content and more
“OK, just show me what it does already”
Fair.
Below are six marketing projects we’ve run through the system this year. The first is our own work on our own website, with real numbers. The second draws on several real client audits. The other four come from real client work with the names, numbers and details changed.
Example 1 · Our own website · Real
Our own Company Brain shaped the AI search guide we published on gorilla76.com.
What went in
Our brand and voice rules, our point of view on AI search, findings from 11 manufacturer website audits, buyers’ own words from our sales calls and our expert’s written answers to the questions the research couldn’t settle.
What came out
A published guide, built to answer a how-to question AI wasn’t naming us for. AI cited it eight times in its first four days live. The same skills rebuilt two older posts. Google impressions nearly doubled on one (9,122 to 17,623) and rose six times on the other (2,062 to 12,420). Read the guide →
Where our team stepped in
Our vice president of innovation answered the expert questions, then edited five rounds of drafts over a week before it went live.
← Back
Example 1 of 6
Example 2 · Several manufacturers · Findings from real audits, anonymized
Top AI search priorities, in the context of your company’s strategy.
What went in
A full crawl of the website, buyers’ questions run across ChatGPT, Gemini and Google, your Search Console and GA4 data and what we’ve learned auditing 35-plus industrial websites.
What came out
One prioritized action plan that says what to fix and in what order. Research that would’ve taken weeks the old way runs in about 70 minutes.
Where our team stepped in
A strategist reviews every recommendation and signs off before you act on it. The dashboard says plainly what’s been vetted and what hasn’t. The audit and dashboard are their own system, fed by the brain, and our AI search page walks through the whole thing.
Example 2 of 6
Example 3 · An equipment rental company · Illustrative recreation
Which of six markets is actually worth chasing.
What went in
The six demand categories they ranked in our discovery workshop, their installed base and national accounts, search demand data, census counts, public filings, industry associations and reviews and forum posts from their buyers. That’s more than 200 public sources in all.
What came out
A seven-tab market research dashboard with every number graded by confidence. Laid side by side, their own numbers showed that the market they’d ranked in the middle already had their best close rate.
Where our team stepped in
Our strategist ran the workshop, set the filters and graded every number.
Tab 0 · Read this first · Run 2026-10
What did this run find, and what does it support now?
partial · first deep run
1
Switching has hard numbers now: core rate plus fuel and delivery surcharges, and renters complain about exactly that.
2
Service response has no public evidence yet. The interviews have to carry it.
3
Two of the five regional rivals were bought by national chains this year. The attention rivals are the dealers now renting under their own brand.
Rival core rate, Q2
6.1% to 7.4%
the four national chains’ filings
High
Diesel surcharge, Sept.
$0.62 / gal
a record; rides on top of the core rate
High
Eligible job sites, draft filters
84K to 160K
against about 12,000 units on rent
Medium
Service complaints found
3 of ~210
reviews and forum posts read
Low (absence)
Rivals bought by chains since 2025
2
of the five regional competitors
High
Three decisions this run supports now
Build the Switching message on the invoice, in the renter’s words: fee lines, delivery windows, exit terms.
Fold the two acquired brands’ domains into the main site, and consider a published rate-range page.
Don’t present Service response as proven. Ask it cold in the 10 interviews and ask for the service-call log.
Findings
› Overview
› Demand by category
› Share of search
› Market size by vertical
› Competitor map
› National account targets
› Voice of the market
Example 3 of 6
Example 4 · A generator manufacturer · Illustrative recreation
From sales call to custom proposal in minutes.
What went in
How the proposal should be structured, their positioning story, brochures and technical PDFs, website content, interviews with their engineers and their brand guidelines.
What came out
A one-page custom proposal after each call. It covers what was heard, how this company would handle the project and why they should choose this company over the competition.
Where our team stepped in
Its sales engineer asked us if it was even possible. Our strategist built the first version the same day. She then suggested a five-minute interview with AI after each call instead of reading the transcript because the engineer often hasn’t worked out the solution while he’s still on the phone.
YOUR COMPANY
Prime and standby power · Vocational fleets
Prepared for the fleet engineering team
Oct. 16, 2026 · One-page proposal
Prime power for 1,000 utility trucks: a diesel generator program that fits your up-fit line
From our call on Oct. 14. Your quote is attached separately; this covers how we would handle the work.
What we heard
About 1,000 bucket and digger-derrick trucks need prime power for tools, lighting and cab systems while the chassis engine is off. Idle-reduction rules in two states are forcing the change on a schedule you don’t control.
Your up-fitters install in three body shops. Any unit that takes more than half a day to install slows the whole line.
Field techs report the current units failing on cold starts below 0°F and on fuel contamination in the northern territory.
Procurement wants a 10-year parts commitment in writing and a service point inside 150 miles of every yard.
How we would approach it
Two models, not twelve: a base unit and a tool-circuit unit on the same frame, harness and parts list. Your body shops learn one install.
Cold start and fuel, sized from your map: block heater, battery blanket and a heated fuel-water separator on every northern unit, tested at -20°F before release.
Install time as a design requirement: a pre-wired harness with one chassis connector. Target: under four hours per truck, measured on the first 20 installs.
A pilot before the program: 20 units across two territories for 90 days, with telematics on every unit, before you commit to the other 980.
Why us
Vocational fleets are most of what we build, across utilities, telecom and municipal fleets.
Every set is load-tested before it ships, and every northern unit is cold-started in our chamber.
Our dealer network already covers three of your four territories. A mobile tech covers the fourth during the pilot.
Example 4 of 6
Example 5 · A standby generator manufacturer · Illustrative recreation
Spend your expert’s time only on what nobody else can answer.
What went in
One idea from their AI search audit (why a standby generator that passes its weekly test fails in a real outage), what ChatGPT and their competitors already say about it, their existing site content and the customer and FAQ interviews already on file.
What came out
A research brief and 15 interview questions. The questions cover only what can’t be found with a Google search or in past interviews. The article drafts once the interview lands.
Where our team stepped in
Our strategist chose which piece was worth doing first. Their expert’s interview supplies what AI can’t.
SME interview kit
Failed starts in a real outage: why a standby generator that passes its weekly test still fails
Brief: the research brief · Status: pending SME until this interview lands in the Company Brain
Who to ask
Applications engineer (primary). The voice on every sizing and controls interview.
Field service lead. Takes the call when a unit doesn’t pick up the load.
Test cell. Questions 11 and 12 only, if the load-test protocol needs a second voice.
Runs about 40 minutes. Questions 1, 3, 6 and 12 matter most: without them the piece restates what the engines already say.
Questions
What’s the first thing you ask when a facility says its generator didn’t pick up the load during an outage?
Which three causes account for most failed starts you see, and which one do facility managers never suspect?
How do you tell a fuel problem from a battery or controls problem using only the service history?
What does a weekly no-load exercise miss that a real outage exposes?
Which fix do you recommend most often, and when is it the wrong one?
… and 10 more, each tagged with what it adds that a Google search can’t
Example 5 of 6
Example 6 · Two equipment manufacturers · Illustrative recreation
Interactive 3D models of your product, with the differentiators buyers care about called out.
What went in
Product photos from their websites, how each machine works from years on the account and the features buyers need to see.
What came out
3D models buyers can orbit, zoom and watch work. We built them in code from photos and account knowledge, with no animation studio involved. A few years ago, a detailed animation of the machine was out of budget for one of these clients.
Where our team stepped in
Our account lead asked, “What can we show about this product today that we couldn’t before?” and then built it.
Still image. The real model is interactive.
Example 6 of 6
Make sense to have a conversation?
If you read this and thought, “We’ve got 30 years of that knowledge sitting in people’s heads,” let’s talk about getting it out. I’d like to hear where that knowledge lives today, and then we can talk through how we’d extract it, compile it and organize it into a Company Brain that fuels a powerful marketing system for your company.