Suggest questions to track

Embed

<a href="https://seolyticize.com/docs/ref-suggest-ai-prompts"><img src="https://seolyticize.com/docs/_api/public/orgs/71cb2b7a-a719-4003-b3ea-6321dc1db8ab/spaces/3bf2dbf7-3faa-473c-ba3b-30588f5f8de4/pages/fdfc2397-f891-4be8-82ee-b7c755bb2d38/social-card.svg?v=3e7ae33eec8b" alt="Suggest questions to track" width="600" height="315"></a>

POSThttps://seolyticize.com/api/v1/tools/suggest_ai_prompts

Drafts questions worth tracking, grouped by topic, from the client brief, its brands and what is already tracked — phrased as a buyer would ask an assistant, never naming a tracked brand, never repeating a tracked question. Optionally around one topic. Nothing is saved: show them, then save the chosen ones with save_ai_visibility_setup. For questions people actually search, use keyword_explorer with mode questions. Answers 'what should we be tracking'. A metered Claude call.

Request body application/json

clientIdstringrequired

topicstring

countinteger

= 12

maxCostMicrosinteger

Optional spending limit for this call, in micro-USD (1,000,000 = $1). A purchase that would take the call past it is refused before anything is bought. Pass the estimate from estimate_cost, or what the user agreed to spend.

{
  "clientId": "string",
  "topic": "string",
  "count": 12,
  "maxCostMicros": 0
}

Code samples

cURL

curl -X POST "https://seolyticize.com/api/v1/tools/suggest_ai_prompts" \
  -H "Content-Type: application/json" \
  -d '{"clientId":"string","topic":"string","count":12,"maxCostMicros":0}'

TypeScript

const res = await fetch('https://seolyticize.com/api/v1/tools/suggest_ai_prompts', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({"clientId":"string","topic":"string","count":12,"maxCostMicros":0}),
});
const data = await res.json();

Python

import requests

res = requests.request(
    "POST",
    "https://seolyticize.com/api/v1/tools/suggest_ai_prompts",
    headers={
    "Content-Type": "application/json",
    },
    json={"clientId": "string", "topic": "string", "count": 12, "maxCostMicros": 0},
)
data = res.json()

package main

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

func main() {
	req, _ := http.NewRequest("POST", "https://seolyticize.com/api/v1/tools/suggest_ai_prompts", strings.NewReader(`{"clientId":"string","topic":"string","count":12,"maxCostMicros":0}`))
	req.Header.Set("Content-Type", "application/json")
	res, _ := http.DefaultClient.Do(req)
	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)
	fmt.Println(string(body))
}

PHP

<?php
$ch = curl_init();
curl_setopt($ch, CURLOPT_URL, 'https://seolyticize.com/api/v1/tools/suggest_ai_prompts');
curl_setopt($ch, CURLOPT_CUSTOMREQUEST, 'POST');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ['Content-Type: application/json']);
curl_setopt($ch, CURLOPT_POSTFIELDS, '{"clientId":"string","topic":"string","count":12,"maxCostMicros":0}');
$response = curl_exec($ch);
curl_close($ch);
echo $response;

Ruby

require 'net/http'
require 'uri'

uri = URI('https://seolyticize.com/api/v1/tools/suggest_ai_prompts')
req = Net::HTTP::Post.new(uri)
req['Content-Type'] = 'application/json'
req.body = '{"clientId":"string","topic":"string","count":12,"maxCostMicros":0}'
res = Net::HTTP.start(uri.hostname, uri.port, use_ssl: uri.scheme == 'https') do |http|
  http.request(req)
end
puts res.body

Java

import java.net.URI;
import java.net.http.*;
import java.net.http.HttpRequest.BodyPublishers;

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://seolyticize.com/api/v1/tools/suggest_ai_prompts"))
    .header("Content-Type", "application/json")
    .method("POST", BodyPublishers.ofString("{\"clientId\":\"string\",\"topic\":\"string\",\"count\":12,\"maxCostMicros\":0}"))
    .build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

Responses

200 The tool's result, under data.

Example

{
  "data": {}
}

Schema

datarequired

400 The body was not JSON or did not match the tool's input schema.

Example

{
  "error": "string"
}

Schema

errorstringrequired