Avouch
//.research

How to make a law firm visible in AI search

Four things moved the needle in our own sweeps, in this order: get onto Legal 500 and Chambers, name specific practice-area capabilities an engine can quote, keep pricing pages transparent, and check per engine — never a blended average.

Steen Stones · Reviewed 5 Aug 2026

Get onto Legal 500 and Chambers first. Everything else on this page matters less than that one line, because both directories appeared in the top ten most-cited sources across two entirely separate sweeps we ran — different markets, different firms, same result. If a firm isn't ranked on either, it is starting the rest of this work from behind.

1. Directory and review-platform presence

Legal500.com and chambers.com both sit in the top ten cited sources in both our personal-injury/debt-recovery sweep and our separate 50-question Southampton sweep. reviewsolicitors.co.uk joined them in the second. These are not general marketing advice — they are the specific domains the engines in our own data actually pulled from when answering real buyer questions. A firm's own website never appeared in that top tier by itself.

3of the same third-party source types (Legal 500, Chambers, review platforms) appeared as top-cited sources in two independent sweeps, different markets

Avouch multi-engine market sweeps, July 2026 — UK solicitor markets, 60 buyer questions across ChatGPT, Gemini and Claude

2. Content that names a specific capability, not a general reputation

Every recommendation quote in our sweeps ties the pick to something checkable and specific: “their Southampton family team deals with jointly owned property routinely”, “intestacy administration is a named specialism on their site”, “its Southampton employment team specifically handles settlement agreements”. None of them say “this is a well-regarded firm”. Practice-area pages need to state, in plain text an engine can lift directly, exactly what the team does and for whom — not a general capability statement.

3. Transparent pricing where the SRA requires it

For the SRA's specified services — conveyancing, probate, immigration, employment tribunal claims, debt recovery among others — publish a real price. This is a compliance requirement under the Transparency Rules regardless of AI search, and it happens to be exactly the kind of specific, checkable figure our engine research shows AI answers reach for when comparing options. Compliance and citability point the same direction here.

4. Check every engine separately, never a blended average

In our Southampton sweep, Gemini named the most-cited firm 34 times and recommended it zero of those times, while ChatGPT converted 76% of its own mentions into a recommendation for the same firm. Average those two numbers and you get a figure that describes neither engine. Track recommendation rate per engine, not as one combined score, or real progress on ChatGPT and Claude will be invisible inside a number Gemini's flat zero is dragging down.

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

What not to spend the budget on first

Rebuilding the firm's own website. It matters — a site with no clear content or no visible credentials is a real problem — but in every sweep we've run, a firm's own site was never the sole source behind a recommendation, and it was cited about as often whether the firm was picked or merely listed. The website is table stakes. The directories, the reviews and the specific practice content are what move the number that actually matters.

//.questions

Common questions

Do I need a big content programme to see results?
Not to start. The strongest lever in our own data — Legal 500 and Chambers presence — is a directory and PR exercise, not a content-volume exercise. A handful of specific, well-evidenced practice-area pages did more work in our sweeps than a large volume of generic content would.
How do I know which engine matters most for my firm?
Run the same buyer questions your firm actually gets asked across ChatGPT, Gemini and Claude separately, and look at the recommendation rate on each — not just whether the firm is mentioned. Our own sweeps found the same firm behaving completely differently engine to engine, so there's no substitute for checking directly.
Is this SRA-compliant to implement?
Yes, and several of these actions (price transparency, specific rather than exaggerated capability claims) are things the SRA already requires independently of AI search — see the compliance page for the specific rules.

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

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