How do I measure ROI on AI visibility work?
By The FirmCited team, BizLegal AI Last updated
What is the leading indicator?
Share-of-voice. Cases lag citations by weeks or months, so SoV on a fixed monthly prompt panel is the number that tells you whether the work is working before revenue shows up. Rising SoV on money queries is to AEO what pipeline is to sales.
How do you attribute leads to AI?
Imperfectly but usefully: ask “how did you find us?” at intake with an explicit AI-assistant option, watch referral traffic from chatgpt.com and perplexity.ai, and monitor branded-search lift after citations rise (people see the firm named in an answer, then Google it). Direction and trend matter more than decimal precision.
What does the math look like?
Conservatively: a Pro install at USD 12,000 plus a USD 2,000/month retainer is USD 36,000 in year one. An average consumer case is worth USD 15,000 to 50,000 in fees. If the AI channel produces even one to two retained cases a year, the program pays for itself, and everything beyond that is margin.
| Metric | Type | How measured |
|---|---|---|
| Citation SoV | Leading | Monthly fixed prompt panel, 4 engines |
| AI-referred leads | Middle | Intake attribution + referral traffic |
| Retained cases × fee value | Result | CRM source tracking |
Related next step
- FirmCited Monitor
A monthly 25-prompt scan on up to 4 engines (ChatGPT, Claude, Perplexity and Google AI Overviews), delivered when at least 2 answer, with competitor share of voice. We email a private portal link. Self-serve, no calls.
See where your firm stands.
The USD 490 AI Visibility Audit answers this question about your firm, with verbatim engine results: 25 prompts, up to 4 engines, under 48 hours. Credits toward any install.