AI visibility
AI visibility for law firms — the work behind being found in AI search
People now ask an assistant who to call before they ever open a results page. No one controls what an assistant says, so this is a body of work rather than a placement: make the firm legible to these systems, then watch what they actually return.
The problem this solves
Your firm may already be getting recommended, or left out, and you have no way of knowing which. The traffic does not look like search traffic, so it either goes uncounted or gets filed as direct.
What I actually do
- Structured data and entity clarity, so assistants can tell who you are and what you do
- llms.txt, agents.md and crawler access, so the systems answering questions can read your site at all
- Answer-first content structure, written the way the question gets asked
- Baseline monitoring of what the major assistants currently say about your firm, tracked over time
- Correcting the source material behind inaccurate answers, where that source is something we can reach
- Measurement built in from the start rather than bolted on afterwards
Two of five name the firm. Most firms have never checked which.
How it gets measured
Tracked mentions and citations across the major assistants over time, against a baseline taken at the start, plus whatever AI-sourced traffic reaches intake. Movement here is monitored, not guaranteed — no one controls what these systems return.
Measurement only reaches a signed case where I have access to your intake and case management system. Where I don’t, the chain stops at the qualified lead — and I will say so rather than estimate.
The rest of it
These are not separate products. A firm usually needs several, and which ones depend on what the diagnostic finds.
Not sure which of these your firm needs? That is what the diagnostic is for.