Revenue Engine for Industrial Distributors
A buyer asked ChatGPT who stocks the part. It named someone else.
That answer is deciding who gets the quote, and your catalog was built for a web that’s gone. We rebuild what you sell so ChatGPT and Google’s AI name you first—then run everything that follows: the quote, the reorder, the account.
- Who runs it
- Artur Shepel. We run every account ourselves.
- Install
- From $30,000, scaled to the value at stake
- Scope
- SOW in 48 hours
- Lock-in
- Leave on 90 days’ notice
Built for distributors and manufacturers doing $5M–$75M. Not sure it’s you? Read the leak first.
Citations · 3 sources
- [1]hosebox.com
- [2]parker.com
- [3]gates.com
Bring: your products named in the AI answer, ahead of the brands you carry.
The leak
You don’t have a traffic problem. You have a handoff problem.
More clicks won’t fix a quote nobody chased or an account nobody called back. The hole sits between the pieces, where one vendor’s job ends and the next one’s never picks up.
Bring
Discovery
A buyer searches the part number, or asks an AI who stocks it. Your page is built for a human skimming, not a machine answering, so the answer names a competitor. You never see the search you lost.
Convert
Conversion
The RFQ lands. It’s read in two days, quoted in four, and by then the buyer has three other numbers. The quote you sent is a quote you already half-lost on speed.
Retain
Retention
The account reorders, from someone else, because no one watched the gap or sent the email first. Repeat revenue is the cheapest revenue you have, and it walks out unattended.
Every RFQ that didn’t close is margin you already spent to win. The leak isn’t the ad budget. It’s everything the ad budget hands off to.
Three numbers from last quarter size the leak.
RFQs that waited more than a day for a quote: , at your average order of $. Quotes sent and never chased: . Accounts that ordered last year and not this year: , at $ a year each.
Multiply it out. That number repeats every quarter until something changes.
The model starts from our own defaults, labeled as ours: about 60 RFQs a week, a $2,000 average order, a quarter of quotes never chased. They prove nothing about your business—the written diagnostic swaps in your real numbers within 24 hours.
Now put the install next to it. One house account runs $ a year at your margin. The install starts at $30,000, once—scaled to what’s actually at stake, in writing, 48 hours after the call. If the engine brings back one account that went quiet, the install is paid for. Everything after that is return.
Why the gaps exist
Five agencies. No accountability.
Five vendors. Five reports. Five Slack channels. Nobody owns the connection between them. The SEO shop doesn’t talk to the catalog vendor. The web build doesn’t know what the email list is doing. Each one was hired by someone who never saw the other two, and your buyers fall into the gaps.
That’s the problem the engine is built to remove. One operator. One owner. The whole flow running as one motion.
You’ve been sold pieces. We run the whole flow.
A website, a catalog, an email list, an SEO retainer. Each sold by someone who never saw the other two. Buyers fall into the gaps between them. We run all of it as one system, so they don’t.
01
Bring
Get the right work coming in. Show up where buyers already look: search, the part-number query, the AI answer. New demand, brought to your door.
02
Convert
Win the demand you already have. Quote faster, on a site built to close, with the RFQ mechanics that turn an inquiry into an order.
03
Retain
Bring the account back. Reactivate the lapsed, sell deeper into the ones you have. The cheapest margin there is.
Retain feeds Bring. A repeat customer or a referral costs almost nothing to win. A one-off campaign can’t do that.
No markup on your ad spend. We don’t resell your leads. No lock-in.
How the engine runs
Three jobs. The cylinders. One engine.
Each cylinder is a service we run in-house. A distributor doesn’t fire all of them on day one. We light the ones that pay back first, then add the rest as the work compounds. Each one links to the full spec.
Bring
get the right work coming in
AI Search & GEO
most engines start here
When a buyer asks an AI who carries the part, the answer should be you. We rewrite your pages so machines can read and quote them, engineer the citations that get you named, and run paid that survives an AI-first results page. This is the gravity well. Most distributors start here.
See the full spec
Catalog AI
fires hardest for distributors
A buyer searching one of 50,000 SKUs lands on a thin, duplicate page and bounces. We write per-product descriptions, structure them so machines can answer from them, link them so each SKU pulls the next, and build the FAQ a buyer (or an AI) actually asks. Per-SKU, across 1,000 to 100,000+ products.
See the full spec
Editorial Authority
Distributors win on knowing the application, not just stocking the part. We build the spec guides, sizing pages, and engineering Q&A hubs that get cited as the source. The authority layer that makes the rest rank.
See the full spec
Outbound Email
Cold lists that land in the inbox and get a reply. We engineer the sender domain so you don’t spam-folder, hand-build the vertical list, and run multi-touch sequences that branch on what the buyer does.
See the full spec
Retain
bring the account back — and the whole engine assembled
Full Growth Ownership
the engine, fully assembledOne operator runs all of the above as one motion, plus the retention work: spotting the account that’s gone quiet, the reorder that didn’t come, the win-back email nobody sent. This is the default. The standalone cylinders are honest on-ramps to it.
See the full specCylinders we’ll add as the engine earns it, not bolted on day one because a deck said so.
And then, Prove. Every month we show which cylinder brought back the most, in your numbers, not ours.
The iteration loop
We strengthen the cylinder that pays back hardest. Every month.
An engine isn’t a launch. It’s a thing you tune.
Each month the report shows which cylinder recovered the most margin: the RFQ speed work, the catalog pages, the reactivation emails. The next iteration leans into that one. If Catalog AI is what’s clearing real orders, that’s where the next month’s hours go. If it’s the cold-RFQ recovery, we shift there.
You’re not paying for a fixed scope that ignores what’s actually working. You’re paying for an operator who reads the result and moves the weight to where it pays. That’s the difference between five vendors defending their line item and one owner moving budget to the cylinder that earns it.
The number that mattered
+43.5%
Qualified leads per month, on the August baseline
Aug 2024 – Jan 2025 · client CRM
They rebuilt our product schema and rewrote our pillar pages so AI Overviews cite us instead of the manufacturer.
Proof
Two lines on every report. The second one is the test.
Each month we split what your paid spend produced from what the system brought back. The honest read: the recovered line should justify what you pay us.
Media-driven
Orders that came from the ad spend you funded.
System-driven
The line the engine brought back. Recovered RFQs, reactivated accounts, deeper share of the wallet you already own.
Counted in your numbers, not estimated on our spreadsheet. We won’t pretend a chart proves it. The structure does: two lines, our fee shown as its own row, and you decide if the second line earns the first.
More receipts
Distributors we’ve moved the numbers for.More quotes, not more traffic.
Full engagement
Industrial hydraulics distributor~8,500 SKUs
Named · with consent+43.5%
Qualified leads a month, across the full engagement
2022 – 2025 · client CRM
1,840 to 2,640 qualified leads a month. The full-stack rebuild behind it.
Northern Hydraulics is an industrial hydraulics distributor — ~8,500 SKUs of JIC/NPT fittings, adapters, and assemblies sold to engineers and MRO buyers. Over a three-year relationship (2022–2025) we ran the whole growth function: brand and design, a Magento 1 to headless replatform, AI-search and technical SEO, an AI-assisted catalog rewrite, pillar content, paid ads, and cold outbound. Qualified leads went from 1,840 to 2,640 a month, up 43.5%.
Full Growth OwnershipWebsite DevelopmentAI Search & GEOEditorial AuthorityOutbound Email2022 – 2025Industrial hydraulics distributor~8,500 SKUs
Named · with consent8,500
SKUs replatformed off Magento 1
6 months · schema-complete from day one
8,500 SKUs off Magento 1, onto a storefront AI can read.
Northern Hydraulics ran an 8,500-SKU catalog on Magento 1, which hit end-of-life with no security patches and product markup AI search engines couldn't parse. Over 6 months we replatformed the whole catalog to a headless Next.js storefront on Shopify Hydrogen, schema-complete from day one, and carried the JIC/NPT spec quote flow across intact. Mobile category-browse INP dropped from 600ms+ to under 200ms. This was the web-dev cut of the full engagement; the qualified-lead growth is reported on the anchor study.
Website DevelopmentAI Search & GEO2022Industrial hydraulics distributor~8,500 SKUs
Named · with consent×8.5
AI-Overview citations, top 50 commercial queries
4 → 34 · 6-month engagement
4 to 34 AI-Overview citations on the top 50 commercial queries.
Northern Hydraulics is an industrial hydraulics distributor with ~8,500 SKUs. On the top 50 commercial queries, AI Overviews were citing its manufacturers, not its own pages, so it sat in AI answers exactly 4 times. Six months of product-schema and answer-shaped page work took that to 34 AIO citations (×8.5), making the distributor the citable source instead of its suppliers.
AI Search & GEOCatalog AI2023Industrial hydraulics distributor~8,500 SKUs
Named · with consent12%
Reply rate, cold outbound to a built distributor list
8-week run · engineered sender reputation
A 12% reply rate to a cold distributor list. Deliverability, engineered first.
Cold outbound email to a built list of hydraulics distributors and OEM buyers, run over 8 weeks as one part of the full Northern Hydraulics engagement. Deliverability came first: SPF, DKIM, and DMARC set up, sending domains warmed, then a tight 5-touch sequence to a researched list. The list returned a 12% reply rate.
Outbound Email2024Industrial hydraulics distributor~8,500 SKUs
Anonymized · NDA8,500
SKUs replatformed in six months
Magento 1 → Next.js + Shopify Hydrogen
8,500 SKUs off Magento 1, onto a storefront AI engines can read.
The same hydraulics distributor’s commerce stack was at end-of-life. Magento 1, schema AI Overviews couldn’t read, and 600ms-plus INP that was killing add-to-cart on mobile category browsing. A six-month replatform moved all 8,500 SKUs onto a headless Next.js + Shopify Hydrogen storefront, with a complete schema graph live on the first deploy.
Website DevelopmentAI Search & GEO2024Fluid power manufacturer · OEM channel22k SKUs
Anonymized · NDA12 wk
Time to first AI Overview citation, post-launch
Greenfield build · zero pre-launch organic history
Cited in AI Overviews 12 weeks after launch. On a domain with zero history.
A fluid power manufacturer opening a direct commerce channel had no storefront, no organic history, and one hard rule: the Acumatica PIM stays the source of truth. Five months later a 22k-SKU Next.js + Saleor build was live. It shipped AIO-ready, and earned its first AI Overview citations within 12 weeks of launch.
Website DevelopmentAI Search & GEO2025Specialty fasteners distributor12k SKUs · 17 brands
Anonymized · NDA0.31 → 0.02
Cumulative Layout Shift on product pages, at launch
Shopify Plus B2B · 10-week migration
CLS 0.31 to 0.02 at launch, and 61 plugins down to 4.
A specialty fasteners distributor with 12k SKUs across 17 brands ran B2B commerce on WooCommerce and 61 plugins. Three of them handled net terms and tiered pricing, and broke on every update. A ten-week migration to Shopify Plus B2B swapped the plugin stack for native primitives and took product-page CLS from 0.31 to 0.02.
Website Development2024
Why no guarantee
No guarantee on a count of quotes.
We don’t promise you a number of RFQs by a date. A distributor’s cycle is too long and too lumpy for that to mean anything, and anyone who promises it is selling you a metric, not margin.
What we’ll do instead: publish the prices, show the work in week four, and put both revenue lines in front of you every month. If the system-driven line doesn’t justify the fee, you’ll see it before we do, and you can leave on 90 days’ notice. That’s the trade. No theater, no clawback fine print, no lock-in standing in for results.
How it’s priced
Install the base. Then add the parts.
One system, billed in two moves: a one-time install that puts the engine in, then the cylinders you choose, monthly. Or hand the whole thing to one operator.
The base · installed once
~90 days · 3-month engagement
The Revenue Engine
From $30K one-time
Answer the call, book the job, recover what went cold, prove the revenue. The foundation every cylinder bolts onto.
Scaled to the value at stake, never to a menu. Your exact number comes in a written SOW within 48 hours — date-stamped, yours to keep either way.
- Where most start
Per part · monthly
Add cylinders
$4–15K / mo each
“Pick the parts that move our number.”
AI search, content, local SEO, paid, outbound, reviews — added on top of the base, run and re-aimed each cycle. Start with one, add more as they pay back.
Whole engine · one operator
Full Growth Ownership
From $20K / mo
“Run our entire growth function.”
One operator owns the base and every cylinder, reads both revenue lines, and re-aims the weakest part each cycle. 3–6 month minimum.
The fee isn’t the expensive part.
You already spend $15–40K a month on agencies, and get less for it. Five vendors, no one accountable, and you still can’t say which lever moved revenue. The costly line item is another year exactly where you are, demand leaking the whole time.
Want proof before the full install? Any of the five service cylinders can run first as a fixed-scope sprint at its published band. Take the install within 90 days and the sprint fee credits toward it, in full.
Proof of fairness
The catalog math, in the open.
When Catalog AI fires, here’s exactly how it’s priced. Per SKU, by volume, so you can do the arithmetic before the call.
We publish this because the price isn’t the risk. The handoff is. You’ll never get a “depends on your needs” runaround from us. The number’s on the page.
- Standard — $3.00 down to $2.00 / SKU (min $3,000)
- Pro — $7.00 down to $5.00 / SKU (min $7,000)
- Enterprise — $15,000–$50,000+/month
- Ongoing maintenance: $1.00–$2.50 / SKU, 48-hour turn. Quarterly re-optimization at 25% of the per-SKU rate.
Published prices · SOW in 48 hours · Leave on 90 days’ notice
What it’s priced against
Priced against the money already leaving.
The toll on the lane you own
Every order that migrates to Amazon keeps handing Amazon a cut of that revenue, this year and every year after. It isn’t a hire you’re deciding whether to make. It’s a fee you’re already paying on business that used to route through you, and it grows every quarter the catalog stays unfound.
Margin you already spent
A quote that dies unchased isn’t a missed maybe. You already paid to surface that buyer, and paid the rep hours to work him. Let the quote go cold and that spend walks back out with nothing to show. The engine recovers money that already left the building.
The account that funds the others
A short list of accounts pays for most of what you keep. Lose one to whoever emailed first and you’re not down one customer of many—you’re down a slice of the few that carry the rest. Put your own biggest account in that line, at what it reorders in a year. That’s the number to weigh this against.
Two smaller comparisons sit underneath those. Full Growth Ownership is cheaper than the growth lead you keep deciding not to hire, and it closes on 90 days’ notice with no severance. And if you’re already writing checks to a handful of separate agencies, you’re paying a coordination tax in your own hours—we do the coordinating instead.
Where to start
Where’s your engine right now?
No engine yet, or it’s leaking
Buyers can’t find you, RFQs stall, accounts drift, and you can’t say what your marketing did last quarter. We build the whole engine and run it. Start with Full Growth Ownership, or light the gravity-well cylinder (AI Search) first and add from there.
Book a Growth CallEngine runs, but a cylinder’s dead
The site’s fine, the demand’s there, but one part stopped paying back. The catalog’s thin. The RFQ reply is slow. The cold list went quiet. We rebuild that one part and hand it back.
Start with a SprintEither way, the first call tightens the scope and the SOW lands in 48 hours. No deck. No SDR loop.
Who we serve
Whether you stock it or make it.We get you found for it.
Two kinds of business, one problem: buyers and the AI need to find you by part, spec, or model, and name you instead of the brand or Amazon.
You stock it
Multi-brand distributors
You carry hundreds of brands and tens of thousands of SKUs, and you win on selection and knowing the catalog cold. We get the AI to name you — not the manufacturer or Amazon — when a buyer searches for a part you stock.
You make it
Manufacturers, one brand or many
You build the product. We make sure buyers and the AI find you by spec and model, and credit you for what you make instead of a competitor who builds something close.
Across the whole catalog
- Hydraulics & fluid power
- Pneumatics
- Pumps
- Valves & fittings
- Bearings & power transmission
- Motors & drives
- Automation & controls
- Sensors & instrumentation
- Electrical
- Fasteners & fixings
- Material handling
- Safety & PPE
- Abrasives & cutting tools
- Welding
- Machining & metalworking
- HVAC/R
- Plumbing
- Lubrication
- Test & measurement
- Janitorial & facility
- Packaging & shipping
- Fleet & vehicle parts
- Raw materials & metals
- Outdoor power equipment
- Agricultural & heavy equipment
- Construction equipment
From a single hydraulic fitting to a tractor — if it has a part number, a spec, or a model, we get you found for it.
What happens after you book
First 30 days. No black box.
Every founder we’ve worked with was burned by an opaque agency at some point. The timeline below is what you can expect from the moment you book the call.
Day 0
Start here
15-minute call · no deck
You paste 3–5 high-revenue category URLs. We walk through them live: schema completeness, AIO-readiness, citation gaps.
You’ll see
You leave with the single change that has the highest payback.
Day 1–2
Written diagnostic + SOW
One-page audit emailed within 24h. If we're a fit, an SOW follows in another 24h — scope, deliverables, fixed start date.
You’ll see
You decide. We don't chase.
Week 1
Access + baseline + first-shipped-change
Read access to GA4 / GSC / your CMS. Baseline crawl + citation snapshot. We ship one visible change so trajectory starts immediately.
You’ll see
First measurable lift on a target query.
Week 2–3
Schema rewrite + answer-hub structure
Product schema rebuilt across top 200 SKUs. Category pages restructured for AIO scannability. First answer hub published.
You’ll see
AIO citation tracker shows movement on top 50 commercial queries.
Week 4
First outcome review
Schema completeness, AIO citation rate, citation-share vs competitors. Three forward bets for next 60 days.
You’ll see
Lagging revenue indicators start to move months 4–6.
Questions distributors ask
Straight answers for technical distributors.
Manufacturer fit, catalog scale, pricing, flat-rate quotes, and why we won't guarantee a count.
01We’re a manufacturer, not a pure distributor. Does this fit?
Yes. The cylinders are the same; the framing shifts. For a manufacturer, Bring leans harder on application authority and the part-finder, and Retain leans on the distributor and rep network instead of end-buyer reorders. We tune which cylinders fire on the first call.
02Our catalog is 80,000 SKUs. Can you actually do per-product work at that scale?
That’s the normal case, not the edge case. Catalog AI is built for 1,000 to 100,000+ SKUs, priced per unit so you see the cost before you commit, with a 48-hour maintenance turn as the catalog changes.
03Why won’t you just quote a flat price for everything?
The per-cylinder prices are published. The total depends on which cylinders fire and at what volume, and we won’t guess that before we’ve seen your catalog and your numbers. You’ll have the full SOW, in writing, within 48 hours of the first call. No number invented to fill a silence.
04How do you price it, and where do I see the numbers?
The model is published before we ever talk. The engine installs once, from $30,000, scaled to the value at stake, and your exact number arrives in the written SOW within 48 hours of the call. After that the cylinders run it, $4,000–$15,000 a month each, and each cylinder's page shows its own band. Any of the five service cylinders can run first as a fixed-scope sprint at its published band. Take the install within 90 days and the sprint fee credits toward it, in full. Full Growth Ownership, from $20,000 a month, is the whole engine under one operator. When Catalog AI fires, the per-SKU math is on the page too.
05Why won’t you guarantee a number of quotes?
A distributor’s cycle is too long and too lumpy for a count-by-a-date to mean anything, and anyone who promises it is selling you a metric, not margin. Instead we publish the prices, show the work in week four, and put both revenue lines in front of you every month. If the system-driven line doesn’t justify the fee, you’ll see it before we do, and you can leave on 90 days’ notice.
One operator. One accountable owner. Your entire growth function.
Stop paying five vendors to defend five line items. Run the whole flow as one engine, tuned every month to the cylinder that pays back.
Response within 24 hours. A 30-minute call, no deck. A one-page diagnostic, no SDR loop. SOW in 48 hours.