For one company, AI visibility can safely wait. For another, postponing it may already represent a real business risk. The difference can literally be measured on a scale from 1 to 9.
We adapted the classic 3×3 risk prioritization matrix to assess a company’s AI visibility. Two questions, two scores — and you can estimate how urgent this issue is for your business.
1. What happens when potential customers search for companies like yours using AI?
1 point — AI rarely names specific companies
2 points — AI names companies, but the recommendations are inconsistent
3 points — AI regularly recommends specific competitors, while your company is absent
One ChatGPT answer proves nothing. You need to check several real customer queries across multiple AI systems.
2. How valuable is one new customer to your business?
1 point — one customer represents only a small share of monthly revenue
2 points — several new customers already make a noticeable difference to monthly results
3 points — even one new customer has significant financial value to the business
Now multiply the two scores:
AI Priority Score = Score 1 × Score 2
1–2 → 🟢 Low priority
3–4 → 🟡 Worth investigating further
6–9 → 🔴 High priority
For example, AI regularly recommends your competitors but not your company — 3 points. One new customer has significant financial value — another 3 points. 3 × 3 = 9.
At that point, the question is no longer whether ChatGPT is just a trend. The company has a concrete reason to investigate how many potential customer choices may be happening without it being considered.
This model is a practical adaptation of the Probability × Impact matrix used in risk management to assess AI visibility. It is not a PMI standard for AI promotion.
To base the score on an actual measurement, see the AI Visibility Audit
Want to check your company’s AI Priority Score?
We start with real customer scenarios and a diagnosis of the company’s current AI visibility.
VIEW THE AUDIT