positioning-audit

Positioning Audit

The Law

COPY WRITTEN WITHOUT A DEFINED POSITION IS DECORATION.
"We'll develop the messaging as we go" ships language that describes the product instead of solving the audience's problem — and is heard by nobody because it sounds like every other product.
Clear category + specific audience + differentiated claim IS a position.

When to Use

Trigger before:

• Writing any marketing copy (homepage, landing pages, ads, email campaigns)
• Launching a new product, feature, or market segment
• Repositioning an existing product after a significant change
• Writing a sales deck or pitch that will represent the product externally

When NOT to Use

• Internal documentation (no audience positioning required)
• Support copy (the audience is already a customer — different communication goal)
• Copy for features inside the product (UI copy — different from marketing copy)

The Three Positioning Elements

A complete position has all three. Missing any one produces copy that is either too broad to resonate, too narrow to reach anyone, or too generic to be believed.

1 — Category

What type of product is this, in the audience's language?

Category determines how the audience evaluates the product. The wrong category activates the wrong comparison set. "An AI productivity tool" puts the product against every productivity tool. "A prompt management system for LLM teams" activates a much smaller, much more relevant comparison set.

Rules:

• Use the audience's language, not the industry's language
• Specific categories outperform broad categories (narrower = easier to be the best)
• The category should already exist in the audience's mind — creating a new category is a 2-year marketing project, not a launch

Test: Ask: "What would I search for if I was looking for a product like this?" That search query is your category.

2 — Audience

Who is this for, specifically?

The narrower the audience definition, the more specifically you can speak to them. "Software teams" is not an audience. "Engineering managers at companies with 5–50 engineers who are responsible for AI feature quality" is an audience.