How to Build a Do You Calculator
A 'Do you' keyword research tool aggregates search queries that begin with 'do you,' revealing question-based intent patterns. These queries signal curiosity, comparison shopping, and decision-making moments, making them gold for content marketers and SEO strategists.
What is a Do You Calculator?
This tool scrapes or queries search suggestion APIs (Google Autocomplete, People Also Ask, Bing Suggest) to collect every 'do you' prefix query in a niche. It then clusters them by topic, ranks them by estimated volume, and surfaces content gaps. For example, 'do you need a passport for Mexico' or 'do you tip movers' represent high-intent informational queries that are easy to rank for with well-structured answer content.
Code Example
// Fetch Google Autocomplete suggestions for "do you" + seed keyword
async function fetchDoYouQueries(seed: string): Promise<string[]> {
const alphabet = 'abcdefghijklmnopqrstuvwxyz'.split('');
const queries: string[] = [];
// Base query
const baseUrl = `https://suggestqueries.google.com/complete/search?client=firefox&q=do+you+${encodeURIComponent(seed)}`;
const baseRes = await fetch(baseUrl);
const baseData = await baseRes.json();
queries.push(...baseData[1]);
// Expand with alphabet modifiers
for (const letter of alphabet) {
const url = `https://suggestqueries.google.com/complete/search?client=firefox&q=do+you+${encodeURIComponent(seed)}+${letter}`;
const res = await fetch(url);
const data = await res.json();
queries.push(...data[1]);
}
return [...new Set(queries)];
}
// Cluster queries by topic using simple keyword grouping
function clusterQueries(queries: string[]): Record<string, string[]> {
const clusters: Record<string, string[]> = {};
for (const q of queries) {
const words = q.replace(/^do you\s+/i, '').split(' ');
const key = words.slice(0, 2).join(' ');
if (!clusters[key]) clusters[key] = [];
clusters[key].push(q);
}
return clusters;
}How to Build It
- 1
Integrate with Google Autocomplete, People Also Ask, and Bing Suggest APIs
- 2
Build a seed keyword input with niche/category selector
- 3
Implement alphabet soup expansion (append a-z to the query prefix for deeper suggestions)
- 4
Add topic clustering using NLP or simple keyword co-occurrence grouping
- 5
Display results with estimated search volume, keyword difficulty, and content gap indicators
- 6
Include export to CSV/JSON for importing into SEO workflows
Key Features to Include
Aggregates 'do you' queries across multiple search engines
Alphabet soup expansion to discover long-tail variations
Topic clustering groups related questions automatically
Search volume estimates via clickstream data or keyword APIs
Content gap analysis showing which queries lack quality answers
Bulk seed keyword processing for large-scale research
Monetization Strategies
Freemium: 5 searches/day free, unlimited on paid plan
Subscription tiers with higher API rate limits and bulk export
Affiliate partnerships with SEO tool suites (Ahrefs, Semrush)
API access for agencies running keyword research at scale
Recommended Tech Stack
Frontend
Next.js with real-time suggestion streaming and filterable data tables
Backend
Node.js API with rate-limited proxy to search suggestion endpoints, Redis caching
Hosting
Vercel frontend, dedicated API server for scraping to avoid IP blocks
Related Keywords (32 in database)
These are real search terms people use. Build tools targeting these keywords for organic traffic.
Do You Get A Calculator On The Asvab
Volume 900
Do You Get A Calculator On The Mcat
Volume 450
Do You Get A Calculator On The Gre
Volume 400
Do You Get A Calculator On The Sat
Volume 200
Do You Get A Calculator On The Gmat
Volume 150
Get access to all 32 keywords with search volume data.
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