Commercial Intent Matrix

Overview

Classifies queries by how close they sit to a purchase so effort concentrates where visibility becomes revenue.

Business problem

Traffic grows on informational queries while the buying-stage queries that drive pipeline go uncontested.

Decision supported

Whether a query is worth a money page and how hard to compete for it.

Inputs & outputs

Step-by-step process

1. 1
   Signal-read

   Judge intent from query wording and the results/answer shape.

2. 2
   Score

   Assign a Commercial Intent Score from informational to ready-to-buy.

3. 3
   Map

   Point each high-intent query at the money page that should own it.

4. 4
   Engineer

   Build the page to convert humans and be cited by AI at the decision stage.

Maturity model

1. L1
   Volume-led

   Targets chosen by search volume alone.

2. L2
   Labelled

   Queries tagged by rough intent.

3. L3
   Scored

   Commercial Intent Score drives targeting.

4. L4
   Revenue-linked

   Intent scores tied to assisted revenue.

KPIs

• High-intent coverage
• Money-page visibility
• Assisted revenue

Common mistakes

• Optimising money pages for informational phrasing
• Ignoring comparison and alternative queries
• Under-investing in the last click

SearchScore insight