Understand how AI recommends products, brands, and retailers

Real buying situations

What the audit needs to understand

Scope organizes the report around the decisions people are trying to make. The underlying questions provide evidence, but the user sees the commercial meaning.

• Which product best fits this use case?
• Which retailer looks credible at this price point?
• Who provides clearer delivery and returns information?
• Which brand has evidence for quality and support?

Sector adaptation

What shapes the recommendation

For retail, Scope gives extra weight to the facts and constraints that determine a credible recommendation in this market.

• Product fit
• Price and value
• Delivery and returns
• Quality proof

Practical output

What the report answers

The report leads with the result, competitive context, and next action. Evidence remains available when the user wants to verify the conclusion.

• Recommendation coverage: Separate product, retailer, and brand visibility instead of blending them into one score.
• Competitive source evidence: Identify the product and decision pages assistants rely on.
• Commercial content gaps: Find buyer needs that the current catalog or editorial content does not answer.

Measurement control

What Scope will not assume

Scope keeps price, availability, and product claims tied to dated evidence instead of treating them as permanent facts.