Your spec sheet PDF hits Google's crawler and dies. Your procurement buyer searches an exact part number and lands on a competitor's HTML page instead. Manufacturing SEO rebuilds your digital catalogue so the engineers who vet vendors for six months before an RFQ actually find your business. That means crawlable product pages with filterable specs, distributor locators that rank for regional queries, and ungated whitepaper previews that pull in qualified leads. You're not competing for attention — you're competing for consideration during the research phase your team never sees. If your catalogue pages are thin duplicates or your case studies hide behind forms, you're bleeding pipeline to manufacturers who built their content infrastructure correctly. This isn't blog-driven B2B SEO. It's technical catalogue architecture, schema markup for AI overviews, and intent mapping across an 18-month buying cycle.
Waar projecten falen
Compliance
Product Schema Markup
Technical Spec Indexation
Distributor Network SEO
Lead Attribution Pipeline
AI Search Optimization
BOFU Keyword Architecture
Wat we bouwen
Product pages generate zero organic traffic because they're duplicate content across SKU variations
Technical specifications live in PDFs that search engines ignore completely
Distributor locator tools do nothing for your visibility in regional searches
Whitepapers sit behind forms with no entry point for engineers researching anonymously
Case studies lack structure and internal links that build topical authority
Site performance breaks under catalogue weight and bleeds Core Web Vitals rankings
Ons proces
Technical Audit & Keyword Mapping
Information Architecture & Schema Design
Content & Page Development
Lead Attribution & Analytics Setup
Launch, Monitor & Scale
Veelgestelde vragen
How long does manufacturing SEO take to show results?
Most manufacturers see real ranking improvements within 3-4 months, with meaningful lead generation impact somewhere between months 6-12. The actual timeline depends on your site's current authority, how competitive your space is, and how many product pages need work. We track leading indicators — indexation, impressions, click-through rates — from week one, so you're not left guessing while you wait.
Can you optimize product catalogues with thousands of SKUs?
Yes. We use programmatic page generation in Next.js to create unique, crawlable pages for each product — structured spec data, internal linking, proper canonical tags, the works. This scales to tens of thousands of SKUs without the performance issues you'd run into on WordPress or a legacy platform. Every page gets its own indexable URL and schema markup.
How do you handle SEO for technical specifications in PDFs?
We pull specification data out of your PDFs and build structured HTML pages that search engines can actually crawl and index. Each spec page gets schema markup for dimensions, tolerances, materials, certifications — whatever's relevant. The PDFs stay available as downloads, but now the content lives on the web where Google can find it, and where an engineer searching for an exact part number can actually land on your page.
Do you build distributor locator pages that rank locally?
Yes. We generate unique pages for each distributor territory — local business schema, regional keyword targeting, original content specific to that market, embedded maps. This stops your distributors' own websites from outranking your brand for regional searches, and keeps you in control of the buyer's first impression.
How do you attribute SEO leads across long B2B sales cycles?
We set up server-side tracking that connects first-touch organic visits to CRM pipeline stages, even when the sales cycle runs 6-18 months. You'll see which keyword clusters are generating SQLs and closed revenue — not just sessions. The data feeds directly into your CRM so sales and marketing are working from the same attribution model.
What's the difference between manufacturing SEO and regular B2B SEO?
Manufacturing SEO is a different animal. You're dealing with technical product catalogues, specification sheets, distributor networks, and buyers who are engineers or procurement professionals — people who know immediately if your content is vague or inaccurate. The keyword landscape is highly specialized, the sales cycles are long, and the content has to be technically credible. Most generalist B2B agencies don't know what a tolerance callout is, let alone how to write around one.
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