We Asked AI to Recommend Accountants in 10 Major UK Cities — Here’s What It Said

What We Did

We used TendorAI’s AI visibility testing system to ask three leading AI assistants — ChatGPT, Perplexity and Claude — the same question:

"Can you recommend a small business accountant in [city]?"

We repeated the query across 10 major UK cities: London, Manchester, Birmingham, Bristol, Leeds, Edinburgh, Glasgow, Cardiff, Nottingham and Liverpool.

Each assistant was prompted in a clean session to avoid memory bias. We did not ask for “cheapest” or “top-rated” firms — just straightforward recommendations for a small business accountant.

The goal was simple: identify which firms AI systems surface when a business owner asks for a local accountant.

What We Found

1. The Same 5 Firms Per City

Across all three AI systems, recommendations clustered heavily around the same 5 firms in each city.

In London, the overlap was striking. In Manchester and Birmingham, the pattern repeated almost identically. AI would name five firms with minor variation in ordering, but rarely introduce lesser-known practices.

These firms shared common characteristics:

• ICAEW or ACCA chartered status prominently displayed
• Structured data on their websites
• Xero or QuickBooks partner badges
• Detailed service pages for tax, bookkeeping and payroll
• Listings on accountancy directories and Google Business
• Published pricing or clear fee structures

The pattern was not random.

2. Smaller Local Firms Were Invisible

In nearly every city, there were well-reviewed local accountants with competitive fees that were not mentioned at all.

Many had:

• 4.8+ star Google reviews
• Dozens of recent client testimonials
• Fixed-fee packages clearly listed on their websites

Yet they did not appear in AI recommendations.

Visibility in traditional search results does not automatically translate into visibility in AI-generated answers.

3. Data Quality Beats Reputation

The strongest predictor of recommendation was not review volume or even pricing transparency. It was data consistency and structured presence.

Firms that were:

• Listed on the ICAEW or ACCA member directories
• Marked up with schema.org/AccountingService structured data
• Present on recognised accountancy directories
• Cited in authoritative publications or industry awards

Were significantly more likely to appear.

This led to a clear conclusion:

"AI doesn’t recommend the best accountant. It recommends the accountant it has the best data for."

That distinction matters.

4. Cloud Accounting Partnerships Carried Weight

Firms displaying Xero Partner or QuickBooks ProAdvisor status were disproportionately represented in AI recommendations.

These partnerships create structured, verifiable data points that AI systems can easily extract. A firm listed as a Xero Platinum Partner appears in Xero’s own directory, which feeds into the datasets AI models are trained on.

By contrast, a firm that uses Xero but does not display the partnership badge is invisible to this signal chain.

Why This Happens

AI systems like ChatGPT do not crawl the web in real time in the way Google Search does.

Instead, they rely on:

• Structured datasets
• Training corpora compiled from authoritative sources
• Professional body registers (ICAEW, ACCA, AAT)
• Public databases
• High-trust publications

If your firm has:

• ICAEW or ACCA chartered status with an up-to-date directory listing
• Published fee transparency or fixed-fee packages
• Structured schema markup on your website
• Cloud accounting partner badges (Xero, QuickBooks, FreeAgent)
• Consistent NAP (Name, Address, Phone) data across directories

You are far easier for AI systems to identify and confidently recommend.

By contrast, a firm with a basic five-page website and no structured data may exist online — but it exists as unstructured text. That makes it harder for AI systems to extract and validate.

AI prioritises clarity, consistency and verifiability.

It does not interpret reputation the way humans do. It processes signals.

What It Means for UK Accountants

If You’re Not in the Data, You Don’t Exist

If your firm is not present in the datasets AI systems rely on, you are unlikely to be recommended — regardless of how good your service is.

This is not a reflection of accounting quality. It is a reflection of data visibility.

The Gap Will Widen

As AI-driven discovery grows, the firms currently being recommended will accumulate more mentions, more citations and more secondary references.

That compounds advantage.

The firms AI already “knows” will become more embedded in its responses. Firms outside that loop risk long-term invisibility.

Structured Advantage Is Time-Sensitive

There is still a window.

AI recommendation systems are not fully locked. Visibility patterns can shift. But as models retrain and reinforce existing citation networks, it becomes harder to break in later.

Waiting means competing against firms that have already built structured authority.

How to Check If AI Recommends Your Firm

Most accountants have no idea whether they appear in AI-generated recommendations.

You can check in 60 seconds.

Run a free AI visibility report at https://tendorai.com/aeo-report. No credit card required.

It shows whether ChatGPT and other AI systems recognise your firm — and where your visibility gaps are.

AI recommendations are already influencing how business owners shortlist accountants.

The firms being surfaced today are not necessarily the best. They are the most structured, the most cited, and the most machine-readable.

That distinction is now commercially significant.