TendorAI publishes evidence-led research and practical guides about how businesses appear in AI-generated answers. This page indexes measurement studies, AI visibility audits, cited-source research, structured data, buyer-intent visibility and practical guidance on the public information AI systems can find and use.
Our research separates what we measured from what we infer. Every card below is labelled with what it is — a measurement study, register analysis, a guide, an explainer or a comparison — so nothing has to be opened to find out whether it contains original measurement. Formal studies, with their panels and deviation logs, are indexed on Research.
5 pieces, in reading order, for anyone meeting the subject for the first time.
The definition TendorAI works to, and what it covers.
The panel, the repeats, the assistants, and what a measurement cannot establish.
Run the check yourself before paying anyone to run it for you.
Guide6 min read
Why a second measurement needs the same questions, the same repeats and a recorded baseline.
Methodology11 min read
What an AI visibility audit should contain, and how UK providers compare on stated criteria.
Comparison28 min read
A study is work with a pre-registered panel, a published deviations log and a downloadable dataset. TendorAI has four, and they are published in full and ungated at Research rather than here — this page indexes them so the distinction between a study and an explanation stays visible.
We tracked 1,214 SRA-regulated firms across 17 UK cities. 1,003 of them — 83% — were never named once. A handful were named in every single answer. AI visibility for solicitors is a threshold, not a ranking.
TendorAI
US research says AI answers about lawyers are dominated by legal directories. We measured 12,279 citations across UK solicitor searches. The UK looks very different — and, for individual firms, harder to win.
TendorAI
Each study names the assistants it used, the number of repeats and the collection window. The methodology sets out the shared method, and data & evidence covers what is published alongside each one.
There is no industry standard defining what an AI visibility audit must contain, so two services with the same name can be very different products.
A disclosed comparison of seven UK AI visibility audit providers — TendorAI, Rank4AI, AwarenessAI, Gregg King, Screaming Frog, Exposure Ninja and Found / Luminr — on pricing, AI assistant coverage, repeated testing, evidence, methodology and implementation.
Scott Davies, Founder of TendorAI
Every card is labelled with what it is. Each topic below goes to a section of this page or to the page that covers it — there are no thin index pages behind these links.
Start with TendorAI’s free AI Visibility Report to see how supported AI systems currently represent your business. It is a starting point, not a measurement study — the difference is explained below.
Run Your Free AI Visibility ReportFree, with no payment details. The free AI visibility tools check individual things — structured data, crawler access, readiness.
TendorAI measures how AI assistants respond to defined business and buyer questions. For paid measurements, questions are repeated across multiple runs so conclusions rest on a body of recorded answers rather than a single response.
Understand
The business, its services, its markets and the questions its buyers ask.
Measure
Run the defined questions across the agreed assistants, repeating each one.
Evidence
Keep the recorded answers and the sources cited in them.
Find
Identify patterns and gaps that warrant investigation.
Act
Agree and implement what the evidence justifies changing.
Remeasure
Repeat the same questions by the same method, later.
Compare
Set the new observations against the recorded baseline.
Report
Say what changed, what did not, and what follows.
A measurement is a record of how assistants answered a defined set of questions, in a stated window. It is not an explanation.
A finding should be traceable back to the recorded answers and cited sources behind it, not asserted on its own.
Two measurements can be reported side by side. The causal link between a change and a later result is not measured, and TendorAI does not claim it.
Remeasurement compares against a recorded baseline using the same questions and the same method. The methodology page lists what this design can and cannot establish, and how it works walks through the same sequence from a customer’s side.
AI visibility describes how a business appears when people use AI assistants and AI search to research providers, services and buying decisions.
TendorAI examines different observable states rather than treating every appearance as the same. These three are the ones its measurement records and its reports distinguish. They are not stages of a funnel: a business can be cited without being recommended, or recommended without being cited.
A defined set of buyer questions, put to AI assistants and repeated, with the answers and the sources cited in them recorded. It establishes the pattern. It does not explain it.
AI Visibility BenchmarkInvestigation of the recorded evidence — what is missing, what is unclear, what the cited sources show — to work out what deserves attention and in what order.
AI Visibility AuditActing on a diagnosis, measuring again and comparing against the baseline is AI Visibility Growth. Prices for all three are on the pricing page.
Guidance, explanation and comparison. None of these is a measurement study; each card says which it is.
A disclosed comparison of seven UK AI visibility audit providers — TendorAI, Rank4AI, AwarenessAI, Gregg King, Screaming Frog, Exposure Ninja and Found / Luminr — on pricing, AI assistant coverage, repeated testing, evidence, methodology and implementation.
Scott Davies, Founder of TendorAI
A website change has not improved your AI visibility simply because the page was updated or indexed. Testing it needs a recorded baseline, frozen buyer questions, repeated runs and a second measurement using the same method — and care about what the comparison can prove.
Scott Davies, Founder of TendorAI
Before ChatGPT, Claude or Perplexity recommends an accountant, it has to work out which firms are genuinely chartered and ICAEW-registered. Where your website and the ICAEW record disagree, the assistant hedges or leaves you out. Here is how that check works and how to pass it.
Scott Davies, Founder of TendorAI
Before ChatGPT, Claude or Perplexity names a UK solicitor, it has to confirm the firm is genuinely SRA-regulated. Where your website and the SRA register disagree, the assistant hedges or leaves you out. Here is how that check works and how to pass it.
Scott Davies, Founder of TendorAI
An early look at how often Manchester solicitor firms were named in AI answers, from a test that predates TendorAI’s published measurement standard.
Scott Davies, Founder of TendorAI
A UK judge has referred solicitors to the SRA for submitting AI-generated legal citations that did not exist. Here is what it signals for AI visibility, trust, and authority in 2026.
Scott Davies, Founder of TendorAI
A step-by-step guide for UK solicitors on getting recommended by ChatGPT, Perplexity and Google AI Overviews. Covers schema, regulatory data, and AI visibility strategy.
TendorAI
What structured data is, what it makes explicit about a business, and why a page being machine-readable is not the same as an AI assistant citing it.
Scott Davies, Founder of TendorAI
A 2026 account of what a TendorAI engagement included at the time of writing. Current products and prices are on the pricing page.
TendorAI
Conveyancing in Cardiff costs £895–£1,500 for fixed-fee solicitors in 2026, plus £300–£700 in disbursements.
TendorAI
Register-derived analysis of how much public information UK solicitors publish about themselves, and what is missing from the record AI assistants can draw on.
TendorAI
Compare the best AI visibility tools for UK businesses in 2026. TendorAI, Peec AI, OtterlyAI, Profound, SE Ranking, Semrush, and manual schema — ranked by UK relevance.
Scott Davies, Founder of TendorAI
The exact manual test to run right now — and how TendorAI automates it across all 6 major AI platforms.
Scott Davies, Founder of TendorAI
Analysis built from public register records — SRA, ICAEW, FCA and Propertymark — covering what businesses in a sector and city publish about themselves. These are not measurement studies: they have no prompt panel and no deviations log, which is why Research does not list them as studies either.
Free checks that answer one question each. None of them measures what AI assistants say — that is a different exercise, described above.
Reads the JSON-LD, Microdata and RDFa in one page’s HTML and reports what it found and what it could not read.
Checks whether the crawlers used by AI assistants are permitted to reach a website.
The public information a business can put in order before anyone measures anything.
All of them are listed on the free AI visibility tools page.
The free AI Visibility Report records how supported AI systems currently represent your business. If the evidence warrants going further, the Benchmark establishes a repeated baseline and the Audit investigates what the evidence supports.
Run Your Free AI Visibility ReportFree, with no payment details. The free AI visibility tools check individual things — structured data, crawler access, readiness.
