Schema markup for UK businesses: a practical guide

Nick from This Video Works discusses the underutilisation of Schema markup in the UK, where only about 11% of companies use it despite its critical importance for modern search optimisation. He explains that while major companies implement Schema, smaller UK businesses largely ignore this powerful SEO tool. Schema markup helps websites get found in AI-driven search results, improves citations, enhances visibility in AI overviews, and is particularly effective for voice search recommendations. Nick emphasises that with AI now driving search, Schema has become essential for businesses wanting to be discovered online, and encourages UK companies to start implementing this crucial technology.

I’m Nick from this video works. This article talks about Schema in the UK and it’s focused on the UK because for some strange reason in the UK hardly anybody uses it. It’s the most huge companies use it, we’ve written for massive companies in the past and, but outside of them in London, no one even seems to know it exists. They know the basics in the SEO world. They’re not applying it. I think it’s something like eleven percent of UK companies use it, which is tiny, absolutely tiny. But it’s the most important thing you can do in terms of getting found now that AIA drives search. The code is submitted into your website, we use it in a manner of ways and it gets you found. It helps you get citations, it helps you into AI overviews and one thing we’ve found is really brilliant for making sure you get recommended in voice search. I hope the article is helpful and explains to you what it is and why it’s important and obviously we’re very happy to help but it’s crucial that everybody starts to use this. Thank you.

Most UK businesses have never implemented schema markup UK, and that gap represents a genuine competitive advantage for any business willing to close it. Anecdotally, counterparts in the US have been feeding structured data into Google, Bing, and AI systems as a matter of routine for years, while awareness among UK SMEs has lagged behind. That disparity is not a technical one. It is an awareness gap, and right now the window is open.

Schema markup is structured code added to a web page that tells search engines and AI systems exactly what the content means, not just what the words say. Without it, a search engine guesses at context. With it, there is no ambiguity: opening hours are labelled as opening hours, address fields are labelled as address fields, and your business is described in the vocabulary that Google and Bing natively understand.

With AI overviews increasingly appearing at the top of Google results, schema markup has shifted from a technical nice-to-have to a direct line between your content and the systems millions of people use to find services. A handful of UK agencies, including This Video Works, already apply it beyond websites to video content and transcripts, an approach that remains relatively uncommon in the UK market. This guide covers the types that matter, how to write the code correctly for UK conventions, and how to validate it without guesswork.

What schema markup actually does for your website

Search engines parse visible text, but they frequently misread context. Schema markup removes that ambiguity by labelling content with a vocabulary from schema.org that both Google and Bing understand natively. The practical output is richer search results: star ratings, opening hours, event dates, and business details appearing directly in the results page before a user even clicks through.

There are three ways to implement schema: JSON-LD, Microdata, and RDFa. Google explicitly recommends JSON-LD, and for good reason. It sits in a separate script block and does not require wrapping every visible HTML element in additional code. It is faster to implement, easier to update, and far less likely to break when a developer makes changes to the page design. All examples in this guide use JSON-LD.

The shift toward AI search has changed how structured data works in practice. AI overviews in Google, Bing Copilot, and tools like Perplexity pull information from structured, machine-readable sources when constructing generated answers. Schema markup effectively submits your content in the language AI systems read natively, increasing the likelihood of being cited or recommended rather than ignored entirely.

Schema markup UK: the adoption gap and why it works in your favour

Based on agency experience and industry observation, schema markup adoption across UK SMEs appears significantly lower than in comparable markets, driven by differences in SEO agency culture, tooling exposure, and awareness of Google’s rich result features. A non-trivial proportion of UK sites still lack even a basic LocalBusiness block. That is not a technical barrier; it is simply a lack of awareness, and it creates a clear window for early movers.

Businesses with correctly implemented schema are already appearing in AI overviews while competitors with identical content but no structured data remain invisible in those panels. At This Video Works, we have observed brand-new UK businesses with no established search presence get cited in AI search overviews through this approach, applied not just to web pages but to video transcripts and content assets that many agencies never mark up at all. This is an internal observation rather than a published study, but the pattern has been consistent across multiple client engagements.

The clearest immediate beneficiaries are local service businesses using LocalBusiness schema, professional services firms using Organisation schema with trust signals, e-commerce stores using Product schema, and event organisers using Event schema. Any business wanting to appear in AI-generated answers benefits from structured data, regardless of sector or size. For sector-specific examples, see our Marketing Ideas for UK Food Producers: SEO and Content.

Schema markup UK: the types that generate rich results in 2026

LocalBusiness schema is the highest-priority starting point for any location-based UK business. It helps Google understand your site and complements Google Business Profile data, improving eligibility for Maps and local rich results. Schema.org offers dozens of specific sub-types under LocalBusiness, including LegalService, MedicalBusiness, and AccountingService. Using the most specific sub-type rather than the generic LocalBusiness improves relevance and gives search engines a more confident understanding of what your business actually does. For a practical JSON-LD approach to local business markup, the JSON-LD markup guide to LocalBusiness schema provides useful examples and patterns.

FAQPage schema is worth understanding correctly before you spend time implementing it. Google discontinued support for FAQPage rich results on 7 May 2026, meaning the expandable accordion snippets that once appeared in search results no longer generate for standard websites. The schema type itself remains valid and is still readable by Bing, Perplexity, and other AI systems, so it retains value for AI citation purposes. HowTo rich results on desktop had already been retired in September 2023. Product schema remains high priority for e-commerce, and Event schema remains active for the events carousel. Focus implementation effort on types Google still actively supports.

VideoObject is the most overlooked schema type in UK schema markup implementations. Its key properties include name, description, thumbnailUrl, uploadDate, duration, and contentUrl. When video content carries this structured data, it becomes eligible for video carousels in Google. More importantly, AI systems can read and cite the content of a video, but only if it is marked up correctly and ideally accompanied by a transcript linked through the description or embedUrl properties. In our own client work, we have seen meaningful increases in AI Overview appearances for video content marked up with VideoObject schema and accompanied by transcripts, because AI systems cannot watch video files: they rely on text layers and structured metadata to understand what a video contains. For authoritative guidance on video markup and required properties, consult Google’s video structured data documentation. This is the area where most UK agencies do nothing.

Writing valid JSON-LD for schema markup UK: address, telephone and hours conventions

UK businesses consistently make the same formatting errors when implementing schema, and a single critical error makes the entire block invisible to Google. Telephone numbers must use international format: +44 followed by the number without the leading zero (for example, +442071234567, not 02071234567). For strict ISO 3166-1 alpha-2 compliance, the addressCountry field should be set to “GB”, although “UK” is also widely accepted in practice. The addressRegion field should specify the nation: “England”, “Scotland”, “Wales”, or “Northern Ireland”. Postcodes go in the postalCode field in standard UK format, such as “SW1A 1AA” or “M1 1AE”.

For opening hours, Google now strongly recommends the openingHoursSpecification array format over the older shorthand string. Each set of days sharing the same hours requires its own object in the array, with dayOfWeek listed as full names (“Monday”, “Tuesday”), and opens and closes in HH:MM format. A business open Monday to Friday 09:00 to 17:30 and Saturday 10:00 to 14:00 would need two separate objects in the array. This format produces richer output in search results than the deprecated string approach.

Organisation schema for UK registered companies

Organisation schema for UK registered companies should include legalName, url, logo, contactPoint, foundingDate, and sameAs. The sameAs property is particularly important for AI citation: it connects your entity across multiple authoritative sources, such as your Companies House entry, LinkedIn profile, and social channels, helping AI systems build a confident understanding of who your organisation is. The @id property, set to a stable URI like https://yourdomain.co.uk/#org, ensures your entity is disambiguated from others with the same name. Schema.org version 27.0 introduced the hasGS1DigitalLink property for product-based businesses and organisations, worth adding if your business operates within supply chain or retail contexts.

How to validate your markup and fix the most common errors

Use three tools in a clear sequence. Start with the Rich Results Test from Google Search Central to check whether a specific page or code snippet qualifies for Google-supported rich results. Use the Schema Markup Validator at schema.org to check technical correctness for any schema type, including those Google does not surface as rich results. Then use Google Search Console to monitor live status across your entire site: the Enhancements section shows which pages are valid, have warnings, or are failing with critical errors.

The most frequent errors on UK sites follow a consistent pattern. Watch out for:

Missing required properties, a Product type with no price breaks the entire block
Incorrect data types, a price formatted as a quoted string instead of a number, or a date in the wrong format
Unreachable resources, pages behind login walls or firewalls that prevent the Rich Results Test from parsing the content
Unsupported schema types, using types Google no longer supports for rich results wastes implementation effort
JSON-LD syntax errors, missing commas, unclosed brackets, and invalid characters prevent the parser from reading anything

A single critical error makes the entire schema block invisible, so testing before and after every deployment is non-negotiable.

Schema.org releases regular updates and Google periodically adjusts which types it supports. In April 2025, Google replaced EnergyConsumptionDetails with the Certification type for product energy labels, relevant to UK retailers selling appliances or goods requiring energy ratings. In December 2025, schema.org introduced ConferenceEvent and PerformingArtsEvent as sub-types of Event. Subscribing to Google Search Central updates and monitoring schema.org release notes should be routine parts of technical SEO maintenance, not something you revisit once a year.

In-house or specialist: making the right call

A single-location business with a WordPress site can implement LocalBusiness and Organisation schema using a plugin such as Yoast, Rank Math, or Schema Pro without writing any code. The key requirements are validating output with the Rich Results Test and checking Search Console monthly. For most small businesses, this level of implementation is often achievable with a modest time investment depending on site complexity, and the results can be significant: industry-observed CTR increases in the range of 30 to 40% are frequently cited for listings enriched with schema-driven rich results, though individual results vary by sector and competitive landscape. For an industry-focused example, see our piece on Digital Marketing Benefits for Automotive SMEs.

More complex scenarios require specialist input. Multi-location businesses need location-specific LocalBusiness instances for each site. E-commerce stores with hundreds of products require programmatic schema generation rather than manual entry. Regularly updated event listings need templated Event markup. VideoObject schema applied to video content and transcripts requires both technical coding knowledge and an understanding of how AI systems read and cite video assets. Many UK agencies stop at the website entirely, handling web pages or video, but rarely both, and seldom with structured data applied consistently across both.

Look for a specialist who applies UK schema markup to the full content ecosystem: written content, video content, and transcripts all marked up and validated. Ask specifically whether they implement VideoObject schema and whether their pre-production process includes audience query research. Schema that describes content nobody is searching for gains nothing. This Video Works is one of the few UK agencies combining video production, written content, and technical schema markup as a single integrated service, which is what genuine AI search visibility actually requires.

Start now, before the window closes

Schema markup for UK businesses is not a technical luxury. It is a direct line between your content and the AI systems that millions of people now use to find services, answers, and recommendations. The UK adoption gap is a real advantage for any business willing to act, and the businesses already implementing structured data are appearing in AI overviews while many of their competitors are not.

Start with LocalBusiness or Organisation schema, validate every change with the Rich Results Test, and treat your video content with the same structured data discipline as your web pages. If you want to understand exactly how schema markup UK applies to your business, and what a fully marked-up content strategy would look like in practice, read our guide on How to Get Your Business Recommended by AI Search Engines, or get in touch with This Video Works. The businesses that move early on this will be significantly more visible by the time the rest of the market catches up.