Manufacturing marketing agency that puts your capabilities where buyers look
A buyer at an OEM needs powder coating for a run of parts, from a shop close enough to the plant, and asks ChatGPT while the RFP is still a draft.
One question from a buyer, and two other shops get named
Behind the scenes, the AI assistant turned one request into four searches. Here's what happened to the shop that does both jobs.
- Directories and sourcing lists answered the first three searches.
- The shop that does both jobs was only known for its accessories line.
- Two shops that do less got named. The shop that does both never came up.
need a powder coating supplier for OEM aluminum parts, high volume, and ideally one who can also handle the fabrication, somewhere near our plant
high volume powder coating OEM aluminum parts
Coating supplier directoryIndustry sourcing listone supplier powder coating and fabrication combined
Multi-process supplier listingFabrication directorycoating supplier near [OEM] plant
Regional supplier indexLocal manufacturer listing[manufacturer] powder coating capabilities
Supplier ASupplier BYour shop
Simulated example with fictional businesses, shown to illustrate how one question is answered.
Most technical buyers now use AI while they're buying
Engineers and buyers now use AI when they look for a shop, and the same buyers rate their trust in its answers at 4.7 out of 10. So we begin with your own pages, written the way an engineer describes a job, with the facts a buyer looks up before the RFP goes out.
- 69%
- of technical buyers use generative AI during the purchasing process. 31% never do, down from 42% a year earlier.
- 94%
- of business buyers in Forrester's 2025 survey use AI somewhere in their buying process, and twice as many named AI as a more meaningful source than any other, vendor websites and sales included.
TREW Marketing and GlobalSpec with Elektor, 2026 State of Marketing to Engineers, released March 25, 2026. More than 1,000 engineers and technical professionals worldwide; 751 answered the AI question. The same buyers rate their trust in generative AI answers at 4.7 out of 10. Vendor research: TREW sells marketing to technical companies, and GlobalSpec sells advertising that reaches engineers. Forrester, "B2B Buyers Make Zero-Click Buying Number One," John Buten, Forrester blog, January 22, 2026, reporting Forrester's Buyers' Journey Survey, 2025. Global business buyers across industries. General B2B, not manufacturing-specific.
Three reasons AI doesn't name your shop
Buyers describe the job, not your name.
Procurement types the process, the material, the volume and the spec. AI answers with the shops it already connects to that work. If it doesn't connect you to it, you're not on the list.
Your best details are stuck in PDFs.
Tolerances in a capabilities sheet. Materials in an equipment list. Certifications in a download. That's exactly what a buyer is asking about, and tucked in a PDF, it's the part of your site least likely to make it into an answer.
You're known for one thing and forgotten for the rest.
A shop that does coating, fabrication and assembly usually gets known for whichever one it talks about most online. A buyer who needs the others never learns you do them, because as far as AI can tell, you don't.
It all comes down to one thing. AI has to know you do the work before it can send a buyer your way.
SEO and AI search services for manufacturers
Plate Lunch Collective is an AI SEO agency that gets brands named when buyers ask, in search, on social, and in AI. Manufacturing marketing starts on your own site, with a page for every process, material and certification, in the words an engineer types into Google. We match it in sourcing directories, trade listings and LinkedIn, and earn mentions in the trade publications your buyers read.
AI SEO / GEO
When a buyer types the job, the shops that get named are the ones whose site, listings and trade mentions all say they do it.
AI SEO / GEOEntity SEO
You do coating, fabrication and assembly, and AI only knows you for the one you talk about most.
Entity SEOAnswer Engine Optimization
Tolerance, material and certification questions get answered from the shop that put the answer on a page, while the shop with only a spec sheet download tends to get passed over.
AEOCitation-Ready Content
Your capabilities, tolerances, materials and certifications on pages of their own, where an engineer and ChatGPT can both find them, with the PDF still there to download.
Citation-ready contentSocial Search Optimization
Many buyers and engineers watch shop-floor video on YouTube, and a title and description that name the process and the material are what connect that video to your shop.
Social searchAI Search Game Plan
Which of your processes the AI assistants connect to your shop today, and which ones they send to another shop.
AI Search Game Plan
Held every #1 Google ranking in Canada and more than doubled the rate at which it gains new keywords, up 140% in the US and 175% in Canada.
Across both markets, its organic traffic value is $25,000 a year, the equivalent Google Ads spend for the same visits.
Rankings and new keywords from DataForSEO's historical rank overview, October 2026, compared across the engagement; traffic value is the estimated paid traffic cost for October 2026, annualized, modeled on US and Canadian searches with Google's CPC estimates.
For context, a separate US study found Google users clicked a regular search result on 8% of searches that showed an AI summary, against 15% without one (Pew Research Center, July 2025, browsing data from March 2025, 900 US adults).
How we measure the workWhat do the AI assistants say about you?
Tell us about the business, and the first conversation starts from the answer. We'll come back within one business day.
How buyers find manufacturers with AI
We run a real sourcing request through an AI assistant and show how a shop misses the shortlist. Two minutes fifty.What we found · From the video, published September 2026
- Asked for a high-volume powder coating supplier that can also fabricate, within about an hour of the plant, Copilot named three companies in about forty seconds.
- ChatGPT and Gemini gave a similar shortlist for the same request.
- The AI assistant split the one request into separate questions: the material, the process, whether one shop does both, and where it is. A shop that misses any one of them is left out.
Read the transcript
Transcript
0:00 A buyer asks Copilot for a supplier
Coating, stamping, tooling, fabrication. Someone's looking for one of these shops right now. The question is, will they find them? Here's how the search works.
"Did we ever find a coater for that rack line?" "Not yet. Give me two minutes. Copilot, I need a powder coating supplier for OEM aluminum server rack panels. High volume, ideally one who can also do fabrication within about an hour of Windsor."
0:23 How buyers find manufacturers now
That's how your buyers find companies now. They just ask their assistant. It used to be that they would Google it, find ten links, one website with ten shops, they would include someone they knew, and done. Now they describe the job to their assistant, get one answer with three companies in it. Their shortlist is done before they even pick up the phone. Forty seconds, three companies. Everyone else didn't lose the bid. They didn't even know about it.
0:48 What the AI does with the sourcing request
Let's understand what it did with what I just typed. It doesn't search for that exact sentence. Instead, it breaks it down into multiple sentences. The material, the process. Can one shop do both? Where are they located? It then comes back with the names. So for your company to be part of that answer, AI needs to be able to validate all those sentences and questions. Miss one answer? You're not ranked low. You're out. Same query in ChatGPT and Gemini produce a similar shortlist to Copilot's.
1:17 Why some shops show up and some do not
So why do some shops come up and some don't? It's not the size. It's not how good you are. Most of these shops here will do better work than the answers that were given. It's language, and it's not just your website. The models don't just check one site. They check everywhere your company is listed online. Your Google profile, your LinkedIn, social media properties, trade publications. Even when you are mentioned in the local newspaper. And that's your record.
1:43 Your record lives beyond your site
Most shops haven't checked theirs. Half their information is five years old and half of it's in a language that can't be searched. Your capabilities are stored in your head, on your shop floor, in a PDF that someone created in 2016. All in formats that AI can't read, and AI can't recommend you to buyers. So you get skipped and you don't know. And that's the work. We fix your record anywhere the machine will look and not just on your website.
2:07 Same problem in every market
I'm standing here in Oldcastle, Windsor, but this video has nothing to do with Oldcastle or Windsor. Same problem in Michigan, same problem in Ohio, same problem in Texas, Germany, Mexico. All buyers follow the same process. They use AI. And when AI can't understand your records, it excludes you from the answer. This isn't a scare tactic. Your competitors are getting RFQs that you never saw.
2:30 Try it yourself
Don't take my word for it. Go try it yourself. Open up your AI assistant and type in a question the way your buyer would when they're looking for your products. Do you show up? Because I know somewhere in this world, someone's standing in a doorway asking someone for two minutes, and you'll want to be part of that answer.
A note on the spoken figures: "half their information is five years old" is the presenter's estimate, not a measured figure.
Buyers look for the work first and the location second. We cover both
Shops and suppliers in Hawaii, across the mainland United States and Canada, and in the Caribbean and Central America, each known for the work it does and the plants it serves.
Questions manufacturers ask about AI search
Our buyers find us through RFPs and referrals. Why does this matter?
The RFP is still where the award happens. What changed is who gets on the list that receives it. Procurement and sourcing engineers now run an early research step before the RFP goes out, and a share of that step happens inside an AI assistant. The referral still works when it happens. The problem is the buyer who has no referral and starts by asking AI who can do the work.
We have an internal marketing team and a web person. They're out of their depth on AI. Do you work with existing teams?
That's no knock on your marketing team or your web person. AI answers are new, and nobody handed them a manual. Our part is the specialist work: your capability pages, your listings and directories, and measuring what moves. We also walk the web person through each change. They keep running things day to day, and each month we check what buyers find when they describe the kind of work you do.
We do a dozen processes. Does AI really only know one?
Usually, yes. A shop that runs coating, fabrication and assembly tends to get known for whichever one has the most written about it online: the most pages, the most mentions, the clearest story. AI builds its picture of you from what it finds, and if eleven of your twelve processes live in a capabilities PDF or one line on an overview page, they barely count. You know you do all twelve, but AI only knows the one with the most said about it, so we build pages for the other eleven and pitch them to the trade sites your buyers read.
How will we know if this is bringing in quote requests?
You judge the work by your own quote requests and calls. Before the work starts, we make sure those numbers can be counted and record where they stand, then look at what ChatGPT and Google's AI are saying about you each month and set your numbers beside those starting figures each quarter, whether they've moved or not.
How we measure the workOur capabilities are all in downloadable spec sheets. Is that a problem?
It's a problem we see often. A capabilities PDF, an equipment list, a tolerance table, a certifications sheet: they hold the exact detail a buyer's question turns on, and they're the part of your site least likely to show up in an answer. Keep the PDFs, and we'll put the same facts on plain pages built around each kind of work. The spec sheet stays for people, and the page gives Google and AI something to match the buyer's question to.
We're a small job shop, nowhere near tier 1. Is this only for big suppliers?
No. A buyer looking for a job shop starts with the part: the material, the size, the quantity. A shop with a page that says exactly which of those it handles gives Google something to rank for that narrow search and gives AI a clear match. We'd put your run sizes on it too, since quantity is part of how a buyer describes the job.
Does the cost pencil out for a shop like ours?
A new account that keeps sending repeat runs is worth more than its first order, so set that against ongoing work, which starts at $1,500 a month. Quote requests, before and after, are the fair way to judge it for a shop like yours. The AI Search Game Plan, from $1,500, looks at what an engineer finds when they describe a job you'd quote on.
AI Search Game PlanHow long before an AI assistant lists all our capabilities correctly?
Nobody can promise a date, because the AI companies don't publish how often they re-read a page. Each process gets a page of its own first, described in sentences instead of a PDF spec sheet. The full list takes longer, because it also depends on directories, trade listings and customer sites catching up with what you do now.
Find out where your shop stands
A buyer describes the job to Google or to AI, and the shops that come back are what our first conversation is about. Start with the AI Search Game Plan, and in ten business days you'll have a written report on which of your processes Google and AI connect with your shop.