The law firm AI visibility checklist
Nineteen checks, in the order our own sweeps say they matter — directory presence first, technical schema last. Each one traces back to a specific finding, not a generic best-practice list.
Steen Stones · Reviewed 5 Aug 2026
This list is ordered, not alphabetical — the first section is the one our own sweep data says does the most work, and the last is the technical foundation everything else assumes is already in place. Eighteen months of generic “AI SEO checklists” exist; this one is built from four specific sweeps of real UK solicitor markets, and every item traces back to a finding, not a guess.
Directory and third-party presence — do this first
- Listed and current on Legal 500, with the right practice areas tagged.
- Listed and current on Chambers and Partners.
- Claimed and active on reviewsolicitors.co.uk or the equivalent for your practice area.
- A real, current review volume on at least one major review platform — not just a handful of legacy reviews.
Content that names a specific capability
- Every practice-area page states, in plain crawlable text, exactly what the team handles and for whom — not a general reputation statement.
- Named specialisms are backed by something checkable: a named team, a stated process, a track record figure.
- No page relies on “well regarded” or “trusted” language as its main claim — an engine can't verify sentiment, only specifics.
SRA and statutory compliance
- Published pricing for every SRA specified service you offer (conveyancing, probate, immigration, employment tribunal claims, debt recovery and others).
- No unsubstantiated superlatives (“best solicitor in [city]”) anywhere on the site.
- SRA number, PII position and complaints route stated in plain text, not buried in a PDF or an image.
- If you handle personal injury claims: no referral-fee arrangements that fall foul of LASPO 2012.
- AI-drafted marketing copy goes through the same named-solicitor sign-off as anything else before it publishes.
Measurement
- You can currently answer: how often is the firm named across the questions its buyers actually ask?
- You can currently answer: what share of those mentions become a specific recommendation?
- Both of the above are tracked per engine, never as one blended figure.
Technical foundation
- robots.txt explicitly allows the AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and the rest) rather than staying silent on them.
- Organization and Person schema present on the homepage and key profile pages, with real sameAs links out to Companies House, LinkedIn and equivalent.
- Every solicitor profile has a visible byline and credentials, not an anonymous “our team” page.
- No fake or virtual-only office listings — our own sweep flagged this as a specific, named local-SEO mistake.
“There's a difference between showing up and being recommended. AI cannot recommend what it doesn't know.”
None of this is exotic. It's the same discipline as any other client-facing marketing, applied to a new audience of readers that happens to be AI engines rather than people — which is exactly why the firms already doing it well in our sweeps weren't running some secret AI strategy. They were just being specific, current, and independently verifiable, and the engines noticed.
Common questions
- Where does this checklist come from?
- Every section traces to a specific finding from Avouch's own sweeps of UK solicitor markets — see the pillar page, the cost and compliance pages, and the sweep-data page for the underlying evidence behind each item. It isn't a generic best-practice list with 'AI' added.
- How long does working through this take?
- The directory and compliance items are mostly a few weeks of admin and paperwork, not a content programme. The content-specificity work is ongoing — it's a standard to hold new pages to, not a one-off project with an end date.
- Do we need all 19 before we see any change?
- No. Our own research found the directory-presence items carry the most weight of anything on this list — start there if the whole list feels like too much at once.
AI can't recommend what it doesn't know.
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