The math on being the answer.
Closing the citation gap isn't a brand project — it's pipeline. Set your numbers and the plan you'd run, and see what getting cited returns.
If we lifted our mention rate, what would it be worth?
$1.0M
of pipeline influenced a year by the lift
42 extra deals · $48k of cost
- A month
- $85k
- Return
- 21×
- against your spend
- Break-even
- 0.6 pts
- of mention rate covers the cost
How this is worked out
Every figure here comes from your own inputs and the four lines below. Nothing is a benchmark, and nothing is hidden.
- 01Buyers a month × 12 = buyers a year.
- 02Target mention rate − today's = the share of those answers you'd newly appear in.
- 03That share × close rate = extra deals a year.
- 04Extra deals × average deal size = the pipeline the lift influenced.
- 05A year of cost ÷ what one point of mention rate is worth = the lift that breaks even.
What it assumes
- A mention is treated as reaching a buyer. It isn't a click, and AI referral traffic is a fraction of mentions — this measures influence, not sessions.
- The close rate applies to buyers who met you in an answer, which is usually higher than a cold rate and lower than a referral.
- It assumes the lift holds for the year and arrives at once. A mention rate moves over publishing cycles, so the first months earn less than a twelfth.
- It credits the whole deal to the mention. A buyer meets you several times before they buy, so this is influenced pipeline rather than revenue the mention caused — halve it for a number you can defend in a board meeting.
- The cost input is the whole programme, tooling and content both. A return measured against a subscription alone is a number that only works in a pitch deck.
Free AI visibility report
Stop estimating.Measure it.
These are models. Connect your domain and the agents run your category's buying questions across six engines — what the answer says, who it cites, and where you're missing.