Position

Overview

The Position metric tracks the rank of a tracked brand or entity within AI-generated responses (e.g., from ChatGPT or DeepSeek) compared to other tracked competitors. It measures prominence by assigning a numerical rank based on the order of appearance in each response, providing insights into a brand’s visibility relative to competitors in AI search results.

Definition

Position Assignment: In each AI response, the first tracked entity (brand, company, or other monitored entity) mentioned is assigned Position 1, the second tracked entity is assigned Position 2, and so forth. Entities not explicitly tracked by the Project are excluded from position calculations.

Exclusion of Non-Mentioned Brands: If a tracked brand is not mentioned in a response, that response is excluded from the Position metric calculation for that brand.

Average Position: The average position for a brand is calculated by summing the position values across all responses where the brand is mentioned and dividing by the number of such responses. This metric is aggregated daily.

Example

Consider a Project tracking the brand "Acme Limited" and its competitors ("Competitor A", "Competitor B") over four days, with the following AI response data:

Day 1: Response mentions "Competitor A" (1st), "Competitor B" (2nd), "Acme Limited" (3rd) → Position: 3.

Day 2: Response mentions "Competitor B" (1st), "Competitor A" (2nd), "Acme Limited" (3rd), and an untracked entity → Position: 5 (untracked entity ignored).

Day 3: Response does not mention "Acme Limited" → Position: N/A (excluded from average).

Day 4: Response mentions "Acme Limited" (1st), "Competitor A" (2nd) → Position: 2.

Average Position Calculation:

Valid positions: 3 (Day 1), 5 (Day 2), 2 (Day 4).

Average Position = (3 + 5 + 2) / 3 = 3.33.