Structured data is not a technical nicety. It is the difference between AI being able to recommend your firm with confidence and AI guessing — or ignoring you entirely. Most UK businesses have no structured data in place. That is not a disadvantage. It is an opportunity.
Here is exactly what structured data does, why it matters for AI specifically, and what happens when you do not have it.
What Structured Data Actually Is
Structured data is machine-readable information added to your website that tells AI exactly who you are, what you do, and why you are credible.
Your website was built for humans. A human reads your homepage and understands you are a conveyancing solicitor in Cardiff who charges £895 for a standard residential transaction, holds CQS accreditation, and has been trading for 12 years. An AI platform cannot reliably extract that information from human-readable text. It has to guess.
Schema.org markup — added as JSON-LD code in your website's head — changes that. Instead of AI guessing what your business does, it reads a structured file that states: entity type LegalService, SRA number 123456, practice areas conveyancing and family law, fee range £895 to £1,500, location Cardiff, accreditation CQS. No guessing. No gaps. No errors.
Why AI Specifically Needs Structured Data
Google and AI platforms are not the same system. Ranking on Google does not mean AI can recommend you. Google crawls pages and ranks them by relevance and authority. AI platforms — ChatGPT, Perplexity, Gemini, Claude — try to identify and verify entities.
An entity is a real-world thing: a specific business, with a specific address, specific credentials, specific services. AI needs to be confident that an entity is real and trustworthy before it recommends it by name.
Structured data is how you confirm your entity to AI. Without it, AI has to piece together fragments from your website, your Google Business Profile, your Companies House entry, and various directory listings — and hope they are consistent. According to TendorAI's tracking data, 40% of UK professional services firms have at least one NAP inconsistency across platforms. When AI finds conflicting information, it reduces recommendation confidence. When it finds a verified, structured, consistent entity profile, it recommends with confidence.
| Without Structured Data | With Structured Data |
|---|---|
| AI guesses your services from page text | AI reads your exact service list |
| Credentials unverified | SRA/ICAEW/FCA number confirmed |
| Fees unknown | Fee ranges indexed and citable |
| Address may conflict across sources | NAP consistent and machine-readable |
| Recommendation confidence low | Recommendation confidence high |
| Cited 1x in AI responses | Cited 3.2x more often |
What the Data Shows
TendorAI runs weekly AI visibility scans across 12,793 UK professional services firms. The pattern is consistent.
Firms with complete structured data profiles — schema markup installed, regulatory credentials verified, services and fees structured — appear in AI responses at an average position of 2.1. Firms without structured data appear at an average position of 6.4 when they appear at all. Most do not appear.
The average AI Visibility Score across all tracked firms is 28 out of 100. Firms that have completed schema installation move to between 55 and 70 within 90 days. The ceiling is not technical — it is content. The firms scoring above 70 have schema plus regular structured content that AI can cite.
of UK solicitors have no structured data on their website — meaning 9% of firms are competing for AI recommendations while 91% are invisible by default
more often — firms with schema markup are cited 3.2 times more often in AI responses than those without, based on TendorAI’s tracking dataset
Perplexity updates fastest — typically reflecting new structured data within 2 to 3 weeks. ChatGPT takes longer. The compounding effect builds over 90 days
The Specific Schema Types That Move the Needle for UK Firms
Generic LocalBusiness schema is not enough. AI looks for entity-specific types with UK-relevant fields. The schema type determines what fields AI expects to find. A firm using generic LocalBusiness schema is telling AI it is a local business. A firm using LegalService schema with an SRA number, practice areas, and fee transparency data is telling AI it is a verified, regulated solicitor in a specific location with specific credentials.
Solicitors — LegalService
SRA number, practice areas, fee ranges, CQS/Lexcel accreditations
Accountants — AccountingService
ICAEW or ACCA number, MTD agent status, software accreditations (Xero, QuickBooks), fee structure
Mortgage Advisers — FinancialService
FCA number, whole-of-market status, lender count, fee model
Estate Agents — RealEstateAgent
Propertymark registration, average sale time, achieved vs asking percentage, management fee
Each missing field is a gap in the entity profile that reduces recommendation confidence.
What Happens When Structured Data Is Missing
AI does not fail gracefully. It either recommends a competitor or recommends nobody.
When someone asks ChatGPT for a conveyancing solicitor in Leeds and your firm has no structured data, one of three things happens:
AI recommends a competitor who does have structured data
AI gives a generic response without naming specific firms
AI mentions your firm incorrectly — wrong address, wrong phone number, wrong practice areas
The third outcome is the most damaging. A potential client asks AI about your firm specifically, gets wrong information, and forms a negative first impression before they have ever contacted you. Structured data does not just help AI recommend you. It controls what AI says about you.
How Long Does It Take to Work
Structured data is not instant. It compounds.
Perplexity
Fastest to reflect new structured data — typically 2 to 3 weeks after installation.
ChatGPT & Gemini
Take longer, often 6 to 8 weeks before significant movement.
Full compounding effect
Schema plus consistent content plus verified entity signals across directories — typically 90 days to show material improvement in AI Visibility Score.
The firms that see the fastest results combine three things simultaneously: schema installation on their own website, a complete and verified TendorAI profile, and at least one piece of structured content published in the first 30 days. Content gives AI something to cite. Schema gives AI something to verify. The combination moves faster than either alone.
Frequently Asked Questions
Does adding schema markup guarantee AI will recommend my business?
Does my Google ranking affect whether AI recommends me?
What is the most important schema field for a UK solicitor?
How do I know if my website already has structured data?
Does structured data help with Google as well as AI?
How is TendorAI different from just adding schema myself?
Structured data does not make AI recommend you. It makes AI able to recommend you. Without it, AI is working with fragments, inconsistencies, and guesses. With it, AI has a verified, complete, machine-readable entity profile to work from. The firms AI recommends in 2026 are the firms that gave it something reliable to work with.
Check Whether Your Firm Has Structured Data
Free, 30 seconds, no login required. See your AI Visibility Score and whether schema is installed correctly.
Published 30 March 2026 by Scott Davies
← Back to Resources