# How to Vibe Code Your Own SpyFu (and Stop Paying for It)

> Competitor Keyword Research Tools for Google Ads PPC & SEO

- Site: https://spyfu.com
- Category: SEO & Marketing SaaS
- Verdict: **Don't bother** (18/100 vibecodeable)
- Estimated effort: 6+ months of full-time work for the data pipeline alone

## Verdict

Build a personal keyword-lookup wrapper for a single target domain instead of attempting a full clone, because the core product value relies on a multi-terabyte 18-year historical SERP archive.

SpyFu indexes over 7.2 trillion search results across 152 million domains with nearly two decades of historical depth. A solo developer cannot realistically vibe-code a multi-terabyte data ingestion engine and continuous global SERP scraper. If you build a personal clone, you will have a clean frontend dashboard with an empty or severely impoverished SQLite database containing mock domains.

### What you can't replicate

- 18 years of historical Google Ads and organic ranking data dating back to 2006
- Massive automated SERP scraping infrastructure across dozens of countries
- Proprietary clickstream traffic and ad spend estimation algorithms

## What it does

Competitive intelligence platform for discovering competitor keyword rankings, historical Google Ads PPC spend, and ad variations.

### Core features

- Competitor domain search and organic keyword lookup
- Google Ads PPC historical ad copy and spend estimation
- Keyword research tool with difficulty and CPC filters
- Rank tracking dashboard for custom keyword groups
- Backlink discovery by specific keyword
- AI marketing recommendations (SpyGPT integration)
- Custom branded PDF client reporting
- REST API for data exports

## The business

### Pricing

- Basic: $39/mo — For solo practitioners and basic lookups
- Pro + AI: $119/mo — For freelancers and growing teams
- Team: $249/mo — For agencies

### Funding

$0 raised.

Founded 2005.
Team size: 17-25.

## The hard parts

- Massive multi-terabyte data ingestion and indexing pipelines spanning 152 million domains
- Continuous SERP parsing and ad placement extraction at global scale
- Probabilistic clickstream math to accurately estimate ad spend and traffic volumes
- Relational querying across billions of rows of historical ranking data with low latency

## How to vibe code SpyFu

### Prerequisites

- Node.js (free): Runtime environment for the TypeScript web application
- GitHub (free): Source code repository and CI/CD deployment connection

### Recommended AI tools

- Claude Code: Handles end-to-end scaffolding of the Next.js dashboard and API routes
- Cursor: Ideal for iterative frontend component design and table layouts

### Stack

- Frontend: Next.js with Tailwind CSS and shadcn/ui
- Backend: Next.js Server Actions and API Routes
- Database: Turso (SQLite at the edge for scoped personal dataset)
- Auth: better-auth
- Payments: none
- Other: Vercel AI SDK, Resend

### Hosting

- Vercel (Hosting the Next.js dashboard frontend and serverless API endpoints): $0-20/mo
- Turso (Storing local sample keyword tables and domain search metadata): $0/mo

### Build guide

1. **Scaffold Next.js Dashboard & Layout** — Initialize the Next.js project with Tailwind CSS, shadcn/ui, and navigation sidebars mimicking an SEO intelligence dashboard.

```
Create a new Next.js TypeScript project with Tailwind CSS and install shadcn/ui primitives. Build a responsive dashboard layout with a collapsible sidebar containing links for Domain Overview, SEO Research, PPC Research, and Rank Tracking. Use a clean dark/light mode toggle and a professional SaaS aesthetic similar to professional marketing analytics tools. Set up layout shell components with mock header search bars for entering domain names.
```

2. **Configure SQLite Database & Schema** — Set up Turso database connectivity and define tables for domains, organic keywords, paid ads, and monthly traffic rollups.

```
Configure Turso libSQL client in a Next.js project. Create SQL migration scripts for a personal SEO intelligence database. Define tables: `domains` (id, domain_name, monthly_organic_clicks, monthly_ad_spend, organic_keyword_count), `keywords` (id, keyword, search_volume, cpc, difficulty), `domain_rankings` (id, domain_id, keyword_id, position, url), and `ad_history` (id, domain_id, keyword_id, ad_copy, first_seen, last_seen). Write seed scripts with sample data for target demonstration domains.
```

3. **Build Domain Overview & Search Interface** — Implement the core search bar and overview page displaying summary metrics, traffic charts, and top organic keywords.

```
Build a domain search results page in Next.js that queries the Turso database for a given domain string. Display summary stat cards for Organic Clicks/Month, Paid Clicks/Month, Organic Keywords, and Ad Spend. Include tabular data views with sorting and pagination for top organic keywords, showing keyword name, position, search volume, CPC, and estimated traffic contribution. Add simple chart placeholders for traffic history over time.
```

4. **Implement PPC Ad History & Competitor Research** — Create views for competitor paid ad history, ad copy split tests, and missing keyword gap analysis.

```
Develop a PPC competitor research view within the dashboard. Create a component that renders historical Google Ads ad copy variations retrieved from the database, grouped by keyword. Implement a 'PPC Keyword Gap' comparison tool where a user inputs their domain and a competitor domain, and a server action computes and returns keywords the competitor buys that the user does not currently target.
```

5. **Integrate AI Assistant (SpyGPT Clone)** — Connect the Vercel AI SDK and Anthropic API to answer marketing questions using retrieved domain metrics as context.

```
Implement an AI assistant side panel using the Vercel AI SDK and Anthropic API. When a user is viewing a specific domain report, inject the domain's organic keywords, traffic metrics, and ad spend statistics into the system prompt. Allow the user to chat with 'SpyGPT' to ask marketing strategy questions, such as 'How can I improve my organic traffic?' or 'Which ad copies should I test next based on my competitors?', ensuring responses reference the active domain data.
```

6. **Add PDF Report Generation & Polish** — Build custom branded client report exports and final UI polish across all research modules.

```
Build a client reporting feature that compiles domain research metrics, top keywords, and ad history into a printable or downloadable clean PDF layout using react-pdf or HTML-to-print styles. Add loading skeletons for search states, error boundaries for missing domains, and polish all table UI elements to match professional SaaS standards.
```

### Cost vs paying

**Starting costs (one-time):**

- Domain name (optional): $12 one-time
- Total: ~$12 one-time

**Ongoing costs (monthly):**

- Vercel Hobby / Turso / Anthropic API usage: $5-10/mo
- Total: ~$8/mo

- Paying for the SaaS instead: $39 - $119/mo
- Build time: 40-60 hours
- AI tool credits: $20 (Claude Pro)
- Break-even: Never (clone lacks 7.2 trillion indexed results)

## Sources

- [SpyFu Official Website](https://spyfu.com)
- [Wikipedia - SpyFu](https://en.wikipedia.org/wiki/SpyFu)
- [Tracxn - SpyFu Company Profile 2026](https://tracxn.com)
- [GetLatka - SpyFu Revenue and Valuation Data](https://getlatka.com)