Metrics

Brand Mention Trends Over Time

Shows how brand mention frequencies change over time, revealing growth trends, seasonal patterns, and the impact of marketing activities. This endpoint returns mention rates grouped by time period (day, week, or month), enabling you to track brand awareness evolution. Identify rising stars, declining brands, or the impact of campaigns. Essential for monitoring brand health trends and understanding temporal dynamics in AI recommendations. **When to use:** User wants to see brand awareness trends, track changes over time, identify growing or declining brands, measure campaign impact, or analyze seasonal patterns. **Common user queries:** - "How has Nike's mention rate changed over time?" - "Show me brand awareness trends" - "Track mention rate evolution" - "Which brands are growing?" - "Has brand awareness increased week over week?" - "Display awareness trends by month" **Returns:** Array of brands with mention rates grouped by time periods. Example: [{"brand": "Nike", "period": "2024-01-01", "mention_rate": 0.80}, {"brand": "Nike", "period": "2024-01-08", "mention_rate": 0.85}] Required permission: `read:analysis`.

GET

organizations

{organization_id}

workspaces

{workspace_id}

analyses

{analysis_id}

metrics

brand_awareness

mention_rate_timeseries

Brand Mention Trends Over Time

curl --request GET \
  --url https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries \
  --header 'Authorization: <api-key>'

import requests

url = "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

[
  {
    "brand": "<string>",
    "mention_rate": "<string>",
    "collection_date": "2023-12-25"
  }
]

Authorizations

Authorization

string

header

required

Path Parameters

analysis_id

string<uuid>

required

A UUID string identifying the analysis.

organization_id

string<uuid>

required

A UUID string identifying the organization.

workspace_id

string<uuid>

required

A UUID string identifying the workspace.

Query Parameters

brand

string

Filter by one specific brand. Matching ignores case.

brand__in

string

Filter by a list of brands, comma separated without brackets and without spaces around the commas (Ford,Tesla Model Y). Matching ignores case.

collection_date

string<date>

Filter by a collection date being equal to the specified date. YYYY-MM-DD format

collection_date__gt

string<date>

Filter by a collection date being greater than the specified date. YYYY-MM-DD format

collection_date__gte

string<date>

Filter by a collection date being greater than or equal the specified date. YYYY-MM-DD format

collection_date__lt

string<date>

Filter by a collection date being less than the specified date. YYYY-MM-DD format

collection_date__lte

string<date>

Filter by a collection date being less than or equal the specified date. YYYY-MM-DD format

country

string

Filter by one specific country.

country__in

string

Filter by a list of countries. Values should be comma separated, without brackets or spaces

format

enum<string>

Available options:

csv,

json

limit

integer

Limit number of results.

period

enum<string>

required

Interval of the timeseries.

Available options:

day,

month,

week

persona

string

Filter by one specific persona.

persona__in

string

Filter by a list of personas. Values should be comma separated, without brackets or spaces

persona_ids

string

Filter by a list of persona IDs. Values should be comma separated, without brackets or spaces. The IDs are resolved to the persona labels recorded on the analysis, so this returns the same rows as the equivalent persona__in call. Use it for analyses that carry persona_ids; analyses predating persona records have none, and must be filtered with persona or persona__in. An ID that is not one of the analysis's personas matches no rows.

source

enum<string>

Filter by one specific source.

Available options:

claude-3-5-sonnet,

claude-4-5-sonnet,

claude-4-6-sonnet,

claude-4-sonnet,

deepseek-chat,

deepseek-reasoner,

deepseek-v3.2-maas,

gemini-1.5-pro,

gemini-2.0-flash,

gemini-2.5-flash,

gemini-2.5-flash-grounded,

gemini-2.5-flash-lite,

gemini-3-flash-preview,

gemini-3.5-flash-lite,

google-ai-mode,

gpt-3.5-turbo,

gpt-4-turbo,

gpt-4o,

gpt-4o-mini-search,

gpt-5,

gpt-5.2,

gpt-5.4-mini,

meta-llama-3.1-70B-instruct-turbo,

meta-llama-3.2-70B-instruct-turbo,

meta-llama-3.3-70B-instruct-turbo,

meta-llama-4-maverick,

mistral-7B-instruct,

muse-spark-1.2,

muse-spark-1.3,

perplexity-sonar,

rufus

source__in

enum<string>

Filter by a list of sources. Values should be comma separated, without brackets or spaces

Available options:

claude-3-5-sonnet,

claude-4-5-sonnet,

claude-4-6-sonnet,

claude-4-sonnet,

deepseek-chat,

deepseek-reasoner,

deepseek-v3.2-maas,

gemini-1.5-pro,

gemini-2.0-flash,

gemini-2.5-flash,

gemini-2.5-flash-grounded,

gemini-2.5-flash-lite,

gemini-3-flash-preview,

gemini-3.5-flash-lite,

google-ai-mode,

gpt-3.5-turbo,

gpt-4-turbo,

gpt-4o,

gpt-4o-mini-search,

gpt-5,

gpt-5.2,

gpt-5.4-mini,

meta-llama-3.1-70B-instruct-turbo,

meta-llama-3.2-70B-instruct-turbo,

meta-llama-3.3-70B-instruct-turbo,

meta-llama-4-maverick,

mistral-7B-instruct,

muse-spark-1.2,

muse-spark-1.3,

perplexity-sonar,

rufus

Response

brand

string

required

mention_rate

string

required

Pattern: ^-?\d{0,1}(?:\.\d{0,4})?$

collection_date

string<date>

Brand Mention Trends Over Time

curl --request GET \
  --url https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries \
  --header 'Authorization: <api-key>'

import requests

url = "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.shareofmodel.ai/v1/organizations/{organization_id}/workspaces/{workspace_id}/analyses/{analysis_id}/metrics/brand_awareness/mention_rate_timeseries")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

response = http.request(request)
puts response.read_body

[
  {
    "brand": "<string>",
    "mention_rate": "<string>",
    "collection_date": "2023-12-25"
  }
]

Overview

Core API

Search API

Brand Mention Trends Over Time

Authorizations

Path Parameters

Query Parameters

Response