Avouch
//.research

Is AI search optimisation worth it for an accountancy firm?

Two firms in our sweep were named almost equally often. One converted 63% of those mentions into a recommendation. The other converted 20%. Nothing about the questions changed — and most firms currently have no way to see which one they are.

Steen Stones · Reviewed 5 Aug 2026

The honest answer is: it depends whether you can currently see the number that matters, and almost no firm can. In our own sweep, Crunch converted 63% of its AI mentions into a specific recommendation. The Accountancy Partnership, named almost as often, converted 20%. Both firms show up on a mentions dashboard looking similarly "visible". Only one of them is actually converting that visibility into a client recommendation, and the difference is invisible to any tool that only counts citations.

63%of its AI mentions Crunch converted into a specific recommendation, in our own sweep — against 20% for a similarly-named rival

Avouch multi-engine market sweep, 5 August 2026 — UK accountants, ChatGPT/Gemini/Claude with live web search

What the spend actually buys

Ordinary SEO work — the £500 to £3,500 a month UK accountancy firms already pay for rankings — buys citation, not conversion. It gets a firm into the pool of names an engine might mention. Whether a mention becomes a recommendation depends on something SEO spend doesn't touch directly: whether the engine has a specific, checkable reason to put that firm forward over the others in the pool. UK Property Accountants won a property-developer question because its whole practice is property tax, stated plainly and backed by review volume — not because it outranked a rival on a keyword.

That reframes the ROI question. It isn't "does AI search work bring traffic" — ordinary SEO already does that. It's "does the firm convert the mentions it's already getting", and that is a measurable, trackable number most firms have never looked at because most visibility tools don't report it.

Where the return compounds

Across Avouch's wider research — 6,517 AI answers judged, every verdict stored and independently re-checked — comparison and ranking channels come out ahead of every other channel by a wide margin whichever way the analysis is read. For an accountancy firm specifically, our own sweep points at a narrower, more actionable version of that same finding: third-party review volume, not a directory listing, was the single most-cited source in the whole sweep. Building and maintaining a real Trustpilot presence is not a marketing nice-to-have here; it's the highest-leverage lever our own data has found for this sector, and it's usually the one a firm's existing SEO retainer never touches.

There's a ceiling worth naming honestly too. Even in the market where a firm's own site was cited often, that site was never once the sole source behind a recommendation in Avouch's wider 1,828-case research. A firm that spends everything on its own website content, expecting AI recommendations to follow, is optimising the one channel our research says cannot deliver the outcome on its own.

There's a difference between showing up and being recommended. AI cannot recommend what it doesn't know.

The three questions worth asking before you spend anything

  • Do we know our own mention-to-recommendation rate, per engine? If the honest answer is no, that's the first thing to fix — everything else is a guess until this exists.
  • Do we have a real, current, actively-managed Trustpilot presence? This was the highest-return signal in our own sweep and it's rarely inside an existing SEO retainer.
  • Does our content name a specific practice-area capability an engine could cite as the reason, or does it read like every other firm's page? Generic reputation copy doesn't convert; specific, checkable claims do.
//.questions

Common questions

How long before AI search work shows results?
Avouch's wider research found AI citation pools respond to new content within days rather than the months typical of organic search rankings — but that speed applies to being cited, not automatically to being recommended. Review-platform changes tend to move the recommendation rate fastest of anything we've measured for this sector, for the reasons set out above.
Is this different from SEO, or just SEO with a new name?
Good SEO is necessary and still worth doing — search ranking remains a real factor in whether ChatGPT cites a page at all. But ranking and being recommended are different outcomes, measured differently, and won by different signals (review volume and specific practice claims, not keyword targeting). A firm can improve one without moving the other.
What's a realistic first step?
Establish the baseline: how often is the firm actually named across the questions its buyers ask, per engine, and how many of those mentions become a specific recommendation. Most firms have never measured this distinction, which means most firms are optimising blind.

AI can't recommend what it doesn't know.

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