How do I measure whether my firm is cited by AI?
By Moshe Dor, FounderLast updated
What do you actually measure?
Citation share-of-voice: the percentage of AI answers that name your firm across a fixed prompt panel. Run 25 money queries across four engines and you have 100 answers; if your firm appears in 12 and a competitor in 30, your share is 12% against their 30%. Inclusion is binary per answer, so counting citations captures the reality rankings cannot.
Why does the panel have to stay fixed?
Because AI answers move. The same prompt can return different firms on different days, and a model update can reshuffle citations across a practice area overnight. Running an identical panel every month turns that noise into a trend line — the only honest way to tell whether the work is working before revenue confirms it.
Can you do this yourself, or do you need a tool?
You can start by hand: ten prompts in fresh sessions across four engines, recorded in a spreadsheet, takes an afternoon and tells you whether you have a problem. A professional scan runs more prompts through APIs, avoids personalization bleed, parses every citation deterministically, and computes competitor share-of-voice — precision the manual method cannot match.
| Dimension | DIY | Professional scan |
|---|---|---|
| Prompts | ~10, typed by hand | 25+, tuned and API-run |
| Counting | Eyeballed in a spreadsheet | Deterministic parsing |
| Competitor share-of-voice | Rough tally | Computed per engine |
| Cadence | Monthly, manual | Monthly, automated |
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.