Your buyers are not searching for your company.They are searching for a part that fits.
SEO for manufacturers and distributors, where the catalog is the content and the specifications are the argument.
We are a small agency that works on large catalogs. The work is getting product data out of your suppliers and onto your pages in a structure that search engines and AI assistants can both read.
Why the usual advice does not fit
What most manufacturer SEO advice says
Publish blog posts. Build authority. Write about your industry. Post case studies and thought leadership.
None of it is wrong. Almost none of it is what actually gets a manufacturer found.
What buyers actually search
Part numbers. Specifications. Materials, tolerances, capacities, fittings, certifications. Whether the thing fits the other thing.
That information lives in your catalog, not in your blog.
The catalog is the content
The thing that decides everything else
For a manufacturer or a distributor, the catalog IS the content. A buyer searching for a part with a specific thread, capacity or rating is asking a question only your product data can answer. If that data is not on the page, no amount of writing around it will help.
And the reason catalogs stay thin is almost never laziness. It is that the information sits with manufacturers, in PDFs, spreadsheets and email attachments, in whatever format each supplier felt like using. Getting it out of them, into one shape, and onto thousands of pages is a supply problem before it is a writing problem.
That is the work. We build the intake, agree the fields that matter for your products, and publish in batches with the same structure every time, so page nine thousand looks like page one.
And your buyers have started asking machines
Your buyers have started asking assistants instead
Engineers and procurement people now ask AI assistants which supplier makes a part to a given spec, and whether one component is compatible with another. The assistant answers from structured product data it can read, or it does not mention you.
We can measure this, and we have. On one distributor site, every product page we enriched has been cited by an AI assistant, against sixty-two per cent of the pages we have not reached yet. On another, enriched category pages are cited at forty-five per cent against six.
What we will not claim: that this work lifts a whole site’s AI citations. A third site in the same group grew just as fast with almost no work done on it. The honest version is narrower and more useful: on the same site, the pages that got the work are the pages that get cited.
The overlap with classic SEO is almost total, which is the good news. Complete, structured, consistent product data is what ranks and what gets quoted. You are not choosing between the two.
The order the work goes in
First, can it be found at all
Indexation, crawl budget across a large catalog, duplicate paths to the same products, and whether your category pages are reachable in fewer clicks than a buyer’s patience allows.
A catalog nobody can crawl is not a content problem yet.
Then, category pages
They carry the head terms, they are usually a heading and a grid, and they are the largest block of unused space on most manufacturer sites. This is where the first real gains are, not on product pages.
Fewer pages, more impact, faster.
Then, products in batches
Specifications, applications and compatibility, collected from manufacturers rather than invented, published ten or twenty at a time with a control group so you can see what the work actually did.
Measured, not asserted.
The order matters more than the effort. Most manufacturer sites we see have had content written for product pages that were never properly reachable, which is expensive work spent on pages nobody could find.
What we work on
Manufacturer data intake
A repeatable process for getting specifications out of your suppliers in one consistent format. We have run this across catalogs of very different sizes and the bottleneck is always the same: nobody owns the asking.
Taxonomy and navigation
How the catalog divides, whether those divisions match how buyers search, and whether the same products are reachable by three different routes each claiming to be the original.
Category pages
The head terms live here. So does most of the opportunity, because almost nobody in this sector writes them properly.
Product pages at scale
Structure first, words second. The same fields in the same order on every page, which is what makes thousands of pages tractable and what makes them readable by machines.
Product schema
Completing what your platform already emits rather than adding a second system that contradicts it. Identifiers, specifications and availability are what make a product eligible to be quoted.
Dealer and distributor networks
When the same product is sold by you and by twenty resellers, you are competing with your own channel. Deciding what only you can say is the difference between leading that search and losing it.
Data feeds
What goes to shopping and AI surfaces, and whether it still agrees with the site. A feed that contradicts the page is a risk to the account, not just to the ranking.
Measurement that survives low volume
B2B conversion counts are small and most weekly movements are noise. We say which numbers are readable at your volume and which are not, rather than reporting a ratio that cannot carry the weight.
Manufacturers and distributors have opposite problems
If you manufacture
Your problem is usually that the definitive information about your own products is better presented by the people reselling them. You wrote the spec sheet; somebody else published it properly.
Being the authoritative source is a decision, not a birthright.
If you distribute
Your problem is that you sell what everyone else sells, from the same supplier data, and price is the only visible difference.
Depth, accuracy and coverage are the difference you can actually build.
They are solved the same way, which is why we do not separate them. Completeness, consistency and coverage across the catalog, published in a structure that both search engines and assistants can use.
Who this is for, and who it is not
It fits manufacturers and distributors with catalogs large enough that nobody can hold them in their head, businesses whose resellers outrank them for their own products, B2B operations where conversion volume is too low to steer by, and teams who would rather learn to run this than hand it over permanently.
We will say no when:
- You want blog content and thought leadership. Useful, and not what we do, and usually not what moves a catalog.
- Nobody on your side can get data out of suppliers. Somebody has to own that relationship. If nobody will, the program stalls and we would rather say so first.
- You want a guaranteed lead volume. At B2B volumes nobody can promise that honestly, and we would rather tell you which numbers will actually be readable.
- You need the website built. We are not a development shop. We work alongside yours.
Where this sits beside the rest
The catalog mechanics are ecommerce SEO, whether a large catalog can be crawled and indexed at all is technical SEO, and whether assistants can quote your product pages is answer engine optimization and generative engine optimization.
If you run a store on a specific platform, the platform-specific work is on BigCommerce, WooCommerce and Commercebuild. If you have physical locations or branches, add local SEO. The broader picture is on the SEO consultant page.
Questions we get asked
Q. What is SEO for manufacturers, and how is it different?
The difference is where the content lives. For most businesses SEO work means writing pages. For a manufacturer or distributor the pages already exist, in thousands, and they are thin because the specifications are sitting with suppliers rather than on your site. So the work is a supply and structure problem: get the product data, agree the fields that matter, publish it consistently at scale. Blog content has a role, and it is a much smaller one than the industry’s advice suggests.
Q. Our buyers are engineers and procurement. Does SEO even reach them?
They search constantly, they just search differently. Part numbers, specifications, materials, tolerances, compatibility. Those queries have low individual volume and very high intent, and they are answered by product data rather than by marketing copy. Increasingly they are asked through an AI assistant rather than typed into a search box, which changes the format of the answer and not the underlying need.
Q. Does this help with AI assistants and AI search?
It is the part we can measure best. On one distributor site every product page we enriched has been cited by an AI assistant, against sixty-two per cent of the pages we had not yet reached. On another, enriched category pages are cited at forty-five per cent against six. We will not claim it lifts a whole site’s citations, because a third site in the same group grew just as fast with almost no work done on it. The page-level result is real and it is what we sell.
Q. We have thousands of products. Where do you start?
Not on product pages. First we check the catalog can be crawled and indexed at all, because a catalog nobody can reach is not a content problem yet. Then category pages, which carry the head terms and are usually a heading and a product grid, so they are fewer pages with more impact. Product pages come third, in batches, with a control group so you can see what the work did rather than take our word for it.
Q. Our product data comes from our suppliers and it is a mess. Can you fix that?
That is the normal starting condition and it is most of the job. Suppliers send specifications in whatever format suits them, so the work is building an intake that asks for the same fields in the same shape every time, then getting it published consistently. We have done this across catalogs of very different sizes, and the bottleneck is never the technology. It is that nobody owns the asking.
Q. We sell through distributors who also sell our products online. Does that hurt us?
It means you are competing with your own channel using the same supplier data, which is why the manufacturer often ranks below its own resellers. The way out is not to fight them on the same pages. It is to publish what only you can publish: complete specifications, compatibility, revisions, discontinued parts and what replaced them. That is the material nobody else has, and it is usually sitting in engineering rather than in marketing.
Q. How long does this take to work?
Indexation and markup are observed states, so we check them immediately rather than waiting. Rankings and impressions are directional at two weeks and worth a decision at four. Conversion is the slow one, and for most B2B manufacturers the monthly conversion count is too small to read reliably at all, which we will tell you rather than dress up a ratio that cannot carry the weight.
Q. Do you work with distributors as well as manufacturers?
Yes, and most of our catalog work is distribution. The problems rhyme. A manufacturer struggles because resellers present its own products better than it does; a distributor struggles because it sells what everyone else sells from identical supplier data. In both cases depth, accuracy and coverage are the only defensible difference, and both are built the same way.
Q. Can you train our team instead of doing it all?
That is the preferred outcome and it suits this work particularly well, because the work is repetitive by design and therefore teachable. Your team learns which fields matter, what each one does and the order to work in. We have taken a client all the way to hiring and training their own specialists, after which they no longer needed us for delivery.
Q. What would tell us this is not working?
We agree that before we start. Usually it is impressions on the specification and part-level queries for the pages we have actually published, compared against the batch we have not touched yet. If the enriched batch does not separate from the control within four weeks, the approach is wrong for your catalog and we say so rather than asking for more time.
Start with a conversation
Thirty minutes on your catalog, where the product data actually lives, and which of your categories a buyer could not currently find. Bring one category page and one product page you are unsure about. Most of what we find is visible in the first ten minutes.