How to write JSON-LD for an industrial supplier?
Use @type Organization (or Manufacturer) with name, legalName, url, logo, address, areaServed, hasCredential for certifications, makesOffer for capacities, and sameAs to your official profiles (LinkedIn, Crunchbase, business registry).
Examples in Quebec
Quebec company profiles from the ManuGEO directory related to this topic. Their presence here illustrates the kind of public profile this answer discusses; it does not mean they are already cited by AI engines.
- Usinage CMOlarge-scale industrial machining · Sherbrooke
- West Coast Seedsorganic seed producer · Delta
- Plate 2000 Fabricationwelded fabrication and equipment assembly · Saint-Lambert-de-Lauzon
- Usinage Xspec inc.diamond drilling tool manufacturer · Val-d’Or
When reviewing them, look at what an AI engine can extract: a precise activity rather than a slogan, the city, key facts with their source and date, an FAQ that answers buyer questions, and structured data consistent with the official website.
Data and sources
As of 2024, over 45 million web domains mark up their pages with over 450 billion Schema.org objects.
Structured data is a widely adopted standard; a supplier that publishes none gives engines less explicit information.
Source : Schema.org, page d'accueil · 2024
Gartner predicts traditional search engine volume will drop 25% by 2026, shifting to AI chatbots and virtual agents.
This is a forecast, not a measurement; it still signals that part of supplier searches will go through generated answers.
Source : Gartner, communiqué de presse · February 19, 2024
More than 800 million people use ChatGPT every week, according to OpenAI.
The figure covers all uses, not only industrial purchasing, but it shows the scale of the channel where your buyers already ask questions.
Source : OpenAI DevDay, rapporté par TechCrunch · October 6, 2025
Sources checked on November 6, 2026.
Frequently asked questions
Where should I start if my site has none of this yet?
Start with access: check that robots.txt does not block AI engine crawlers and that a sitemap.xml lists your pages. Then add an accurate Organization JSON-LD and one page per core activity with quantified facts. These steps require little development.
Do these optimizations hurt my Google rankings?
No. The same foundations serve classic SEO and AI answer visibility: accessible pages, precise content, valid structured data and consistent links. Just avoid repetitive mass-produced pages, which help neither.
How do I measure the effect of these changes?
Set a list of 10 to 15 buyer questions, record today whether your company is named and with which source, then repeat the test monthly. Track indexing in Google Search Console in parallel. Compare equivalent periods rather than isolated snapshots.
Go further
- Definition : JSON-LD — Structured data format recommended by Google and used by AI engines to understand page content (organization, product, FAQ, event).
- Pillar page : Manufacturers Specializing in Industrial in Quebec — sector supplier list and selection criteria.
How to do it
- Start with @type Organization, add Manufacturer if relevant.
- Fill hasCredential for every ISO/IATF/AS certification.
- List makesOffer with category, areaServed and eligibleQuantity.
- Add sameAs to LinkedIn, registry, sector profiles.
- Validate with Schema Markup Validator and Rich Results Test.
Voir la version française
Comment écrire un JSON-LD pour un fournisseur industriel ?
Utilisez @type Organization (ou Manufacturer) avec name, legalName, url, logo, address, areaServed, hasCredential pour les certifications, makesOffer pour les capacités, et sameAs vers vos profils officiels (LinkedIn, Crunchbase, registre d'entreprise).