curl --request POST \
--url https://api.mentionlab.io/api/analytics/ads/advertisers \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": [
"BE",
"FR"
],
"languages": [
"en",
"fr"
],
"models": [
"gpt-4o",
"claude-3-5-sonnet"
],
"queryIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagIds": [
"42"
],
"execTagIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"execTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": false,
"showAllEntities": false,
"formats": [
"image_card_v2"
]
}
'import requests
url = "https://api.mentionlab.io/api/analytics/ads/advertisers"
payload = {
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": ["BE", "FR"],
"languages": ["en", "fr"],
"models": ["gpt-4o", "claude-3-5-sonnet"],
"queryIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagIds": ["42"],
"execTagIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"execTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": False,
"showAllEntities": False,
"formats": ["image_card_v2"]
}
headers = {
"x-project-id": "<x-project-id>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-project-id': '<x-project-id>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: '2025-01-01',
endDate: '2025-01-31',
countries: ['BE', 'FR'],
languages: ['en', 'fr'],
models: ['gpt-4o', 'claude-3-5-sonnet'],
queryIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagIds: ['42'],
execTagIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
execTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTypes: [],
timezone: 'UTC',
groupByEntityGroup: false,
showAllEntities: false,
formats: ['image_card_v2']
})
};
fetch('https://api.mentionlab.io/api/analytics/ads/advertisers', 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.mentionlab.io/api/analytics/ads/advertisers",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'startDate' => '2025-01-01',
'endDate' => '2025-01-31',
'countries' => [
'BE',
'FR'
],
'languages' => [
'en',
'fr'
],
'models' => [
'gpt-4o',
'claude-3-5-sonnet'
],
'queryIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagIds' => [
'42'
],
'execTagIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'execTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTypes' => [
],
'timezone' => 'UTC',
'groupByEntityGroup' => false,
'showAllEntities' => false,
'formats' => [
'image_card_v2'
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-project-id: <x-project-id>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.mentionlab.io/api/analytics/ads/advertisers"
payload := strings.NewReader("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-project-id", "<x-project-id>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.mentionlab.io/api/analytics/ads/advertisers")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/analytics/ads/advertisers")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-project-id"] = '<x-project-id>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"adRate": 12.34,
"totalResponses": 1500,
"totalAdResponses": 185,
"totalAds": 320,
"totalUnits": 95,
"advertisers": [
{
"advertiser": "SCHEELS",
"adCount": 12,
"share": 40,
"responseCount": 9,
"adRate": 4.5,
"avgPosition": 1.4
}
]
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}Get per-advertiser ad share
Returns each advertiser’s share of sponsored ad placements (who paid for the slot, often a retailer; raw provider labels, never entity-resolved), with the ad rate and response totals for the filtered scope; honors the active filters.
curl --request POST \
--url https://api.mentionlab.io/api/analytics/ads/advertisers \
--header 'Content-Type: application/json' \
--header 'x-project-id: <x-project-id>' \
--data '
{
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": [
"BE",
"FR"
],
"languages": [
"en",
"fr"
],
"models": [
"gpt-4o",
"claude-3-5-sonnet"
],
"queryIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagIds": [
"42"
],
"execTagIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"execTagGroupIds": [
"3fa85f64-5717-4562-b3fc-2c963f66afa6"
],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": false,
"showAllEntities": false,
"formats": [
"image_card_v2"
]
}
'import requests
url = "https://api.mentionlab.io/api/analytics/ads/advertisers"
payload = {
"startDate": "2025-01-01",
"endDate": "2025-01-31",
"countries": ["BE", "FR"],
"languages": ["en", "fr"],
"models": ["gpt-4o", "claude-3-5-sonnet"],
"queryIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagIds": ["42"],
"execTagIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"execTagGroupIds": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"queryTypes": [],
"timezone": "UTC",
"groupByEntityGroup": False,
"showAllEntities": False,
"formats": ["image_card_v2"]
}
headers = {
"x-project-id": "<x-project-id>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-project-id': '<x-project-id>', 'Content-Type': 'application/json'},
body: JSON.stringify({
startDate: '2025-01-01',
endDate: '2025-01-31',
countries: ['BE', 'FR'],
languages: ['en', 'fr'],
models: ['gpt-4o', 'claude-3-5-sonnet'],
queryIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagIds: ['42'],
execTagIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
execTagGroupIds: ['3fa85f64-5717-4562-b3fc-2c963f66afa6'],
queryTypes: [],
timezone: 'UTC',
groupByEntityGroup: false,
showAllEntities: false,
formats: ['image_card_v2']
})
};
fetch('https://api.mentionlab.io/api/analytics/ads/advertisers', 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.mentionlab.io/api/analytics/ads/advertisers",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'startDate' => '2025-01-01',
'endDate' => '2025-01-31',
'countries' => [
'BE',
'FR'
],
'languages' => [
'en',
'fr'
],
'models' => [
'gpt-4o',
'claude-3-5-sonnet'
],
'queryIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagIds' => [
'42'
],
'execTagIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'execTagGroupIds' => [
'3fa85f64-5717-4562-b3fc-2c963f66afa6'
],
'queryTypes' => [
],
'timezone' => 'UTC',
'groupByEntityGroup' => false,
'showAllEntities' => false,
'formats' => [
'image_card_v2'
]
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-project-id: <x-project-id>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.mentionlab.io/api/analytics/ads/advertisers"
payload := strings.NewReader("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-project-id", "<x-project-id>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.mentionlab.io/api/analytics/ads/advertisers")
.header("x-project-id", "<x-project-id>")
.header("Content-Type", "application/json")
.body("{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.mentionlab.io/api/analytics/ads/advertisers")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-project-id"] = '<x-project-id>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"startDate\": \"2025-01-01\",\n \"endDate\": \"2025-01-31\",\n \"countries\": [\n \"BE\",\n \"FR\"\n ],\n \"languages\": [\n \"en\",\n \"fr\"\n ],\n \"models\": [\n \"gpt-4o\",\n \"claude-3-5-sonnet\"\n ],\n \"queryIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagIds\": [\n \"42\"\n ],\n \"execTagIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"execTagGroupIds\": [\n \"3fa85f64-5717-4562-b3fc-2c963f66afa6\"\n ],\n \"queryTypes\": [],\n \"timezone\": \"UTC\",\n \"groupByEntityGroup\": false,\n \"showAllEntities\": false,\n \"formats\": [\n \"image_card_v2\"\n ]\n}"
response = http.request(request)
puts response.read_body{
"adRate": 12.34,
"totalResponses": 1500,
"totalAdResponses": 185,
"totalAds": 320,
"totalUnits": 95,
"advertisers": [
{
"advertiser": "SCHEELS",
"adCount": 12,
"share": 40,
"responseCount": 9,
"adRate": 4.5,
"avgPosition": 1.4
}
]
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}{
"statusCode": 400,
"message": "Validation failed",
"error": "Bad Request"
}Headers
Project ID to specify the project context
Body
Start date (inclusive)
"2025-01-01"
End date (inclusive)
"2025-01-31"
Filter by country codes
["BE", "FR"]
Filter by language codes
["en", "fr"]
Filter by AI models
["gpt-4o", "claude-3-5-sonnet"]
Filter by query IDs
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by source presence: "sources" (only with sources), "no_sources" (only without), "all" (no filter). Legacy true/false values are still accepted.
all, sources, no_sources Filter by shopping presence: "shopping" (only with shopping), "no_shopping" (only without), "all" (no filter). Legacy true/false values are still accepted.
all, shopping, no_shopping Filter by sponsored-ad presence: "ads" (only with ads), "no_ads" (only without), "all" (no filter). Legacy true/false values are still accepted.
all, ads, no_ads Filter by query tag IDs (numeric — bigint column)
["42"]
Filter by execution tag IDs
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by query tag group IDs — matches rows carrying any tag filed under a selected group. Combines with queryTagIds per queryTagMode.
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by execution tag group IDs — matches rows carrying any tag filed under a selected group. Combines with execTagIds per execTagMode.
["3fa85f64-5717-4562-b3fc-2c963f66afa6"]
Filter by query type. Include "untyped" to also match queries without a type. Results from since-deleted queries are excluded when this filter is set.
comparative, informative, perception, untyped Query tag matching mode: "and" matches ALL tags (default, the dashboard's), "or" matches ANY tag.
and, or Execution tag matching mode: "and" matches ALL tags (default, the dashboard's), "or" matches ANY tag.
and, or Deprecated and ignored. Date bounds and buckets are always UTC. Accepted for backward compatibility only.
"UTC"
Row grouping level for entity results. "none" = one row per entity, "division" = one row per division (entities not in a division get their own row), "group" = one row per top-level group (divisions roll up into their group). Defaults to "none".
none, division, group Deprecated — use groupBy instead. true is equivalent to groupBy="group".
false
Include entities that have only ever been seen in a single AI response. These are mostly one-off extraction noise and are hidden by default.
false
Filter ad placements by card format (provider-defined open set, e.g. 'product_card_v2', 'image_card_v2'). Scopes totalAds and the brand rows only; adRate and the response totals remain format-agnostic.
["image_card_v2"]
Response
Percentage of AI responses that rendered at least one sponsored ad card, out of total responses in the filtered scope. Identical definition to the overview adsRate.
12.34
Total number of AI responses in the filtered scope.
1500
AI responses in the filtered scope that rendered at least one ad card.
185
Total ad cards (placements) in the filtered scope — a 5-card carousel weighs 5.
320
Total ad units summed over the advertiser groups — the denominator for each advertiser share. A unit carrying more than one advertiser counts once per advertiser.
95
Per-advertiser ad share, sorted by share descending. Every placement carries an advertiser, so shares sum to 100%, up to per-row rounding.
Show child attributes
Show child attributes