Answers · AI visibility, in the open

How much does it cost to get named by AI?

It's priced as an ongoing position to defend, not a one-time project — because the engines re-score every week. Cost scales with scope: how many markets, how many questions, how far you are today. The honest first step is to measure where you stand, so you only pay to move the answers that matter.

FLAT ONE-TIME FEE named …fades ✕ a snapshot, not a result vs >_ DEFENDED POSITION stays named as engines re-score >_ measured, re-measured, held

Fair question, and you deserve a straight answer instead of a "it depends" and a contact form. Here's the honest shape of it: there's no flat sticker price to be named by AI, because being named isn't a product you buy once. It's a position — and positions have to be held.

Why price follows that reality. The engines retrain, competitors publish new answers, and the AI result re-scores continuously. A one-time "we got you in" project can quietly unwind within weeks. So credible work is priced like defending a position, not shipping a deliverable. What moves the number up or down is scope, not mystery:

PRAGMA measures first, so you only pay to move what matters.

The most expensive way to buy AI visibility is to pay for work before you know where you stand. PRAGMA starts with measurement — a disclosed, reproducible read of whether the engines name you, per market and question — so the scope is set by facts, not a guess. You pay to move the answers you're actually losing, and the result is verifiable on the record. We never bill to fix what's already working, and never claim the result predicts revenue.

The standard, disclosed

We ask ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews the exact questions your buyers ask, and record — per engine — whether your business is named.

We freeze a baseline, shape the answers, and re-measure — publishing to a registry-verifiable record. The measurement sets the scope; the scope sets the cost.

Measured before a dollar of work · Brand 9 Signs

Brand 9 Signs, a 40-year business (our own founder's, which is why we could open every number), was measured first — invisible to AI, gap quantified per market. Then the work targeted only the answers it was losing. Re-measured: Gemini, Perplexity, and Google AI Overviews now name it. Same test before and after, weak pillars shown too.

Are you the answer?

Start where cost should start — with a measurement of where you actually stand.

Are you the answer? Find out