How do I measure ROI on AI visibility work?
By Moshe Dor, FounderLast 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 $12,000 plus a $2,000/month retainer is $36,000 in year one. An average consumer case is worth $15,000-$50,000 in fees. If the channel carrying 28% of legal research produces even one to two retained cases a year, the program pays for itself — 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 |
See where your firm stands.
The $490 AI Visibility Audit answers this question about your firm, with verbatim engine results — 25 prompts, 4 engines, under 48 hours. Credits toward any install.