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.
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.
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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