Avouch
//.research

Is AI search optimisation worth it for a law firm?

Two firms named almost equally often converted those mentions into recommendations at 88% and 26%. Nothing about the questions changed. That gap is worth more than most firms' entire marketing budget, and most of them can't currently see it.

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 sweeps, Lovetts converted 88% of its AI mentions into a specific recommendation. A comparably-named national personal injury firm converted 0%. Both firms show up on a mentions dashboard looking similarly “visible”. Only one of them is actually winning clients through it, and the difference is invisible to any tool that only counts citations.

88%of its AI mentions Lovetts converted into a specific recommendation, in our own sweep — against 0% for a comparably-named rival

Avouch multi-engine market sweeps, July 2026 — UK solicitor markets, ChatGPT/Gemini/Claude with live web search

What the spend actually buys

Ordinary SEO work — the £1,500 to £6,000 a month UK law 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. Moore Barlow won a settlement-agreement question because its employment team specifically handles settlement agreements — not because it outranked a competitor 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 — one channel comes out ahead of every other by a wide margin whichever way the analysis is read: comparison and ranking sites. For a law firm specifically, that means Legal 500, Chambers and the review platforms that showed up as top-cited sources in both of our own sweeps. Working those channels is not a content-marketing nice-to-have; it's the highest-leverage lever the data has found, 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 most, that site was never once the sole source behind a recommendation. 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.
  • Are we listed, and current, on Legal 500, Chambers and the relevant review platforms for our practice areas? This is the highest-return, lowest-cost item in the whole picture, and it's rarely inside an existing SEO retainer.
  • Does our content name specific practice-area capabilities 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.
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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. Directory and review-platform changes (Legal 500, Chambers, review volume) tend to move the recommendation rate faster than on-site content alone, 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 (directory presence 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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