Structured Data for Construction Websites: The Builder's Guide to Schema Markup
Why Construction Sites Are Data Deserts
Construction company websites typically showcase project photos, list services in broad strokes, and provide a phone number. That's fine for human visitors, but AI tools need structured, machine-readable data to understand and recommend your business. Without schema markup, your website is essentially invisible to the AI layer of the internet.
Essential Schema for Construction Firms
Every construction website needs three core schema types. First, LocalBusiness (or more specifically, GeneralContractor) schema on your homepage — covering your business name, address, service area, founding year, and contact details. Second, Service schema on each service page — detailing the service type, description, area served, and any relevant accreditations. Third, Review and AggregateRating schema to surface your client testimonials in a format AI tools can parse and cite.
Project Portfolio Markup
Your completed projects are your strongest selling point. Implement CreativeWork or ImageGallery schema on portfolio pages with details about each project: type of work, location, approximate value, and completion date. AI tools increasingly reference specific project examples when recommending builders, so giving them structured project data makes you far more citable.
Accreditation and Trust Signals
Construction is a trust-heavy industry. Implement schema for your accreditations — CITB, NHBC, FMB, TrustMark — using the hasCredential property. AI tools cross-reference these credentials when evaluating which firms to recommend. A builder with verified, structured accreditation data will consistently outrank one without it, regardless of how impressive their portfolio photos are.
Implementation at Ironclad
Ironclad Construction implemented comprehensive schema across their 23-page website in under a week. The technical work was straightforward — the harder part was auditing their content to ensure every service page had sufficient detail for the schema to be meaningful. The lesson: structured data is only as good as the content it describes.