> ## Documentation Index
> Fetch the complete documentation index at: https://docs.peec.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Brand Perception Competitive Breakdown

> The full competitive breakdown matrix: for every brand-perception attribute, the average prominence (0-100) of each brand — the project's own brand and its competitors — across AI answers. A higher score means the brand tends to be mentioned earlier when AI talks about that attribute. The data is aggregated across all brand-perception runs — there is no date range. Pagination applies to attributes.



## OpenAPI

````yaml https://api.peec.ai/customer/v1/openapi/json get /brand-perception/competitive-breakdown
openapi: 3.0.3
info:
  title: Peec AI Customer API
  description: Development documentation
  version: 1.0.0
  contact:
    name: Peec AI Team
    email: support@peec.ai
servers:
  - url: https://api.peec.ai/customer/v1
security: []
paths:
  /brand-perception/competitive-breakdown:
    get:
      tags:
        - Brand Perception
      summary: Get Brand Perception Competitive Breakdown
      description: >-
        The full competitive breakdown matrix: for every brand-perception
        attribute, the average prominence (0-100) of each brand — the project's
        own brand and its competitors — across AI answers. A higher score means
        the brand tends to be mentioned earlier when AI talks about that
        attribute. The data is aggregated across all brand-perception runs —
        there is no date range. Pagination applies to attributes.
      operationId: getBrand-perceptionCompetitive-breakdown
      parameters:
        - name: project_id
          in: query
          required: false
          schema:
            description: Required if using a company api key
            example: or_f45b94ba-5e35-4982-93ed-285e72ee14eb
            type: string
        - name: model_channel_ids
          in: query
          required: false
          schema:
            description: >-
              Only include answers from these AI engine channels (repeat the
              parameter for multiple values). Omit to aggregate across all
              tracked channels.
            type: array
            items:
              type: string
              enum:
                - openai-0
                - openai-1
                - qwen-0
                - openai-2
                - perplexity-0
                - perplexity-1
                - google-0
                - google-1
                - google-2
                - google-3
                - google-4
                - anthropic-0
                - anthropic-1
                - deepseek-0
                - meta-0
                - xai-0
                - xai-1
                - microsoft-0
                - amazon-0
                - mistral-0
                - mistral-1
        - name: limit
          in: query
          required: false
          schema:
            default: 1000
            type: number
            minimum: 1
            maximum: 10000
        - name: offset
          in: query
          required: false
          schema:
            default: 0
            type: number
            minimum: 0
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                type: object
                properties:
                  data:
                    type: array
                    items:
                      type: object
                      properties:
                        attribute:
                          type: string
                          example: Racing Heritage
                          description: The attribute (cluster representative name).
                        brands:
                          type: array
                          items:
                            type: object
                            properties:
                              name:
                                type: string
                                example: Ferrari
                              score:
                                type: number
                                example: 29
                                description: >-
                                  Average prominence of the brand for this
                                  attribute across AI answers, 0-100. Higher
                                  means the brand tends to be mentioned earlier
                                  when AI talks about the attribute.
                              is_own:
                                type: boolean
                                description: >-
                                  True when this is one of the project's own
                                  brands.
                            required:
                              - name
                              - score
                              - is_own
                          description: Brands sorted by score, most prominent first.
                      required:
                        - attribute
                        - brands
                    description: >-
                      Attributes sorted by the own brand's score, strongest
                      first.
                  total_count:
                    type: number
                    example: 8
                    description: Total number of attributes, ignoring pagination
                required:
                  - data
                  - total_count
                description: Success
      security:
        - APIKeyHeader: []
        - APIKeyQuery: []
        - BearerAuth: []
components:
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: X-API-Key
    APIKeyQuery:
      type: apiKey
      in: query
      name: api_key
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT

````