UK Accountancy Practice AI Visibility Evidence Checklist

Use this checklist to review the business information, professional credentials, website evidence, structured data and third-party sources that may be worth investigating when assessing an accountancy practice’s AI visibility. 28 checks across five areas.

Completing these checks does not establish whether an AI assistant will mention or recommend the practice. Actual AI visibility needs to be measured from recorded AI answers.

Checks reviewed0 of 28

Not reviewed

This counts the checks you have worked through. It is not a measurement of your AI visibility and not a score. What AI assistants actually say has to be measured from recorded answers.

A · Practice identity and credentials

0 of 6

Whether the facts about the practice are stated, current and consistent with the public record.

The practice name is consistent with the relevant professional register and Companies House

Where the register, Companies House and the website give different names, the disagreement is worth resolving on its own merits.

ICAEW, ACCA or other professional membership status is stated accurately where applicable

A membership claim should be accurate and current. That matters whoever is reading it.

Regulatory and professional claims can be verified against the relevant body

A claim nobody can check is resting on assertion. This is also a professional obligation, not an AI question.

Companies House information is consistent where the practice is a registered company

Registered office, company name and status are matters of public record and are easy to leave stale.

Named qualifications and accreditations are current and accurately represented

Lapsed or superseded designations are a common and avoidable inaccuracy.

Credential information is visible to readers, not only present in structured data

Information a client cannot see on the page is of no use to the client. Structured data is a supplement, not a substitute.

B · Services and coverage

0 of 5

Whether what the practice actually does is described clearly enough to be understood without inference.

Services actually offered are described accurately and specifically

Audit, accounts preparation, tax, payroll, bookkeeping, R&D relief and management accounts are different pieces of work, and listing one implies competence in it.

Services no longer offered have been removed

An enquiry for work the practice no longer does wastes everyone’s time.

Important specialist services have their own supporting information

A specialism named in a list and nowhere explained cannot be assessed by a prospective client.

Client types or sectors served are stated where relevant

Much accountancy buying is sector-shaped, and if it is not written down it cannot be read.

Geographic coverage is clear

Remote-only, office-based and multi-office practices are different propositions and are often left ambiguous.

C · Website information

0 of 5

Whether the information a prospective client looks for is present and readable.

The About page states who the practice is, what it does and who it serves

It is usually the page a prospective client checks before making contact.

Common client questions are answered somewhere on the site

If a question a client always asks has no answer on the site, there is nothing to find.

The approach to fees or engagement is explained where the practice is willing to

Not every practice publishes fees. Saying how fees are arrived at is still more useful than silence.

Key information is in readable page text rather than only in images or PDFs

Information locked inside a PDF or a graphic is unavailable to anything reading the page as text, including screen readers.

Outdated or contradictory content has been identified

Tax-year-specific pages left unrevised are the most common instance in accountancy sites.

D · Structured and technical information

0 of 5

Structured data is supporting machine-readable information. Its presence is not AI visibility, and it establishes nothing about retrieval, citation or recommendation.

Relevant Schema.org structured data is present where appropriate

A standard way of stating facts in machine-readable form. Present or absent is checkable; what any consumer does with it is not.

Structured data matches the visible page content

Markup that disagrees with its own page is a defect regardless of who reads it.

Registration and membership identifiers in structured data match the public record

If an identifier is published at all it should be the right one.

Structured data validates without errors

Invalid markup may be discarded by the tools that read it, so an error is worth knowing about.

robots.txt has been checked for relevant crawler rules

Worth knowing what your own site says. It is a technical condition, not a visibility outcome.

E · Third-party evidence and AI measurement

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What other sources say, alongside direct measurement of what AI assistants actually said.

Relevant professional directory listings are current where the practice is listed

A listing with a former address or partner is worth correcting whoever reads it.

Practice details are reasonably consistent across authoritative sources

Where two sources disagree about the same practice, the disagreement is the finding.

Outdated profiles and conflicting information have been identified

Profiles for former trading names and closed offices persist for years.

A defined set of buyer questions exists and is asked several times

Answers vary between runs, so a single run cannot separate a pattern from ordinary variation.

The recorded answers, their dates and the assistant used are preserved

The answers are the evidence, and without a date and a named assistant one measurement cannot be compared with another.

Mention and recommendation are recorded separately, with cited sources where available

Appearing in an answer is not the same as being put forward, and what an answer cited is a separate fact again.

A baseline is preserved and the questions are frozen for a later comparison

Changing the question changes the instrument, and without a before there is no after to compare.

Check Your AI Visibility — Free

The Free AI Visibility Report records what AI assistants say about your business. It is not the Full Audit.

A checklist is not an AI visibility measurement

Checklist checks can identify information and evidence worth investigating. They do not tell you whether your practice actually appears in AI-generated answers.

TendorAI’s AI Visibility Benchmark records how AI assistants answer a defined set of buyer questions repeatedly and preserves the answers as evidence. The AI Visibility Audit investigates those recorded answers, the businesses named alongside yours and the sources cited, to identify what should be addressed first. AI Visibility Growth turns agreed findings into controlled changes and measures the same buyer questions again.

How the measurement is run is set out in our methodology. This checklist is produced by TendorAI Ltd. It is not endorsed by, affiliated with or produced in conjunction with ICAEW, ACCA or any other professional body.

General Evidence Checklist AI Visibility for Accountants Schema Checker Crawler & Robots.txt Checker