Brand Perception
Perception
Brand Perception
Monthly perception scores: sentiment, alignment, consistency and factual alignment
GET
Brand Perception
Brand Perception tracks how AI models describe your brand over time. Each monthly snapshot carries four scores (0-100): sentiment, alignment (match with your positioning), consistency (agreement across AI providers) and factual alignment (accuracy against your known brand facts). This endpoint returns the latest snapshot, the previous one, month-over-month trends, averages and the full history — the same data shown on the dashboard Perception tab.
Perception snapshots are generated monthly. There is no day-based
period filter — use months to control the history depth.string
required
Bearer token. Example:
Bearer qw-api-xxxPath Parameters
string
required
The unique identifier of the brand
Query Parameters
number
default:"12"
Number of months of history to include (max: 24). Only
COMPLETED snapshots are returned.Response
boolean
Indicates if the request was successful
object
object
Latest completed snapshot, or
null if none. Contains snapshotId, month, year, completedAt, and a scores object with sentiment, alignment, consistency, factualAlignment (each 0-100 or null).object
Previous completed snapshot in the same shape as
current, or null.object
Difference (current − previous) for each score:
sentiment, alignment, consistency, factualAlignment. A value is null when either side is missing.object
Average of each score across the returned history (
null when no data points).array
object
months (requested window) and dataPoints (number of snapshots returned).string
Estimated date of the next monthly snapshot (ISO 8601).

