Schema Markup in 2026

Ask most London business owners about schema markup and you’ll get one of two responses: a blank look, or a dismissive “we tried that years ago.”

 

Both responses suggest the same thing: an opportunity being left on the table.

 

Schema markup — specifically JSON-LD structured data — remains one of the most powerful yet consistently underused tools in local SEO. In 2026, with Google’s AI-powered search results, Gemini-generated answers, and enhanced local packs all pulling directly from structured data, the argument for implementing schema has never been stronger.

 

Here’s what you need to know.

 

What Is Schema Markup, and Why Should You Care?

 

Schema markup is structured data — essentially a layer of machine-readable code added to your website that tells Google not just what your page says, but what it means.

 

Without schema, Google has to infer. It reads your page content and makes educated guesses about what you do, where you’re based, what your opening hours are, and whether you’re a medical practice or a marketing agency.

 

With schema, you tell Google directly. You define your business type, your location, your services, and credentials. The result is a cleaner, more accurate knowledge graph entry — and crucially, more opportunities to appear in rich results.

 

What’s Changed in 2026?

 

Two developments have made schema more important this year than at any point in the past decade.

 

AI Overviews and Gemini Are Feeding From Structured Data

 

Google’s AI-generated search summaries — including the AI Overviews that appear at the top of many results pages — are heavily influenced by structured data. When an AI synthesises an answer to a local query like “best conveyancing solicitors in Kensington” or “commercial roofers near me,” it is drawing on every signal it can parse quickly and confidently. Schema markup gives AI exactly that: unambiguous, machine-readable facts about your business.

 

This is the core principle behind what practitioners are calling GEO — Generative Engine Optimisation. Structured data is no longer just an SEO play; it’s a visibility play across every AI-mediated search surface.

 

Local Rich Results Are More Competitive Than Ever

 

The February 2026 Google Core Update placed renewed emphasis on authoritative, well-structured content for local service queries. Sites that combine high-quality on-page content with properly implemented schema are consistently outperforming those that rely on content alone.

 

Review stars, FAQ snippets, opening hours, and service area callouts in local search results — all of these are schema-dependent. If your competitors have them and you don’t, you’re losing clicks before a user ever visits your site.

 

Which Schema Types Matter Most for London Service Businesses?

 

Not all schema is created equal. For professional practices, construction and trades, hospitality, luxury services, and B2B providers, these are the schema types that move the needle.

 

• LocalBusiness (and its subtypes) — The foundational type for any service business operating from a physical or defined location. Subtypes include LegalService, MedicalBusiness, HomeAndConstructionBusiness, Dentist, AccountingService, and dozens more. Using the most specific applicable subtype gives Google more precise context and improves your chances of appearing in highly targeted local queries.
• ProfessionalService — Useful in combination with LocalBusiness for firms where professional accreditation and trust signals are central to the conversion decision. Solicitors, surveyors, architects, and consultancies benefit particularly from this dual-type approach.
• Person (linked entities) — Often overlooked. For founder-led businesses or practices where individual expertise is a selling point, a linked Person entity with verified credentials creates a powerful E-E-A-T signal. Google increasingly wants to understand not just what a business does, but who is accountable for it.
• FAQPage — Still supported and still appearing in results for the right queries. A well-constructed FAQ block targeting genuine customer questions provides both schema value and content depth.
• Service / Offer — Allows you to enumerate specific services with their own descriptions, prices (where applicable), and area coverage. Particularly useful for multi-service businesses wanting visibility across a range of distinct queries.

 

Common Mistakes We Still See in 2026

 

Schema implementation errors are remarkably common, even on sites that clearly had professional SEO support at some point.

 

• Using generic LocalBusiness instead of a specific subtype. This is like telling Google you run “a business” without specifying what kind. Always use the most precise applicable type from schema.org.
• Leaving placeholder or incomplete fields. Partial schema can sometimes perform worse than no schema, because it creates conflicting signals. If you declare opening hours and then get them wrong, that confusion propagates across Google’s knowledge graph.
• Not keeping schema in sync with your Google Business Profile. Your JSON-LD and your GBP should tell the same story. Inconsistencies — in address, phone number, business hours, or name — dilute your local authority.
• Implementing schema once and never revisiting it. Schema.org evolves. Google’s supported types and properties change. Schema that was best practice two years ago may now be missing newly supported fields that your competitors are already using.

 

What Does Good Schema Look Like in Practice?

 

Here’s a simplified example of what a properly structured JSON-LD block looks like for a London-based professional services firm:

 

{
  "@context": "https://schema.org",
  "@type": ["MedicalBusiness", "ProfessionalService"],
  "name": "Example Practice",
  "url": "https://www.example.co.uk",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "10 Harley Street",
    "addressLocality": "London",
    "postalCode": "W1G 9PF"
  },
  "employee": {
    "@type": "Person",
    "name": "Jane Smith",
    "jobTitle": "Consultant Psychologist",
    "hasCredential": [
      { "@type": "EducationalOccupationalCredential", "name": "Dr Smith" }
    ]
  }
}

 

The dual @type declaration, the linked Person entity with credentials, and the precise address data all work together to build a richer, more credible presence in Google’s knowledge graph.

 

The Bottom Line

 

Schema markup is not glamorous. It doesn’t rewrite your copy or redesign your homepage. But it is the difference between Google guessing what you do and knowing what you do — and in 2026, with AI-driven search changing how results are assembled and displayed, that distinction has real commercial consequences.

 

For London service businesses competing in saturated local markets — whether that’s professional services in the West End, construction and trades in South London, or hospitality anywhere in Zone 1 to 3 — properly implemented structured data is one of the few remaining low-competition, high-return SEO opportunities.

 

Our recommendation: audit your schema before anything else. It takes less time to fix than you think, and the compounding effect on your search visibility starts immediately.

 

Need a Schema Audit?

 

At Rapid SEO London, schema markup is part of every technical audit we carry out. If you’d like us to review your structured data and tell you exactly what’s missing, get in touch for a no-obligation conversation.