How to vibe codeScalenut
AI-powered SEO and Generative Engine Optimization (GEO) platform
scalenut.com ↗Marketing & SEO SaaS
The verdict: can you vibe code Scalenut?
Build a personal subset for keyword clustering and LLM article drafting, but keep paying if you need reliable multi-engine AI visibility tracking.
Cloning a personal version of Scalenut's core article writer and keyword clustering engine is feasible with a modern TypeScript stack, but building reliable AI visibility scrapers that query ChatGPT, Perplexity, and Google AI Overviews weekly without getting blocked by anti-bot measures is an ongoing maintenance nightmare. You will spend more time fixing scraping selectors and managing API rate limits than doing actual SEO work.
Estimated effort: 3-4 weeks of serious engineering part-time
What you can't replicate
- Historical visibility tracking data across millions of tracked prompts
- Direct enterprise partnerships and built-in backlinks marketplace liquidity
- Managed senior strategist human-in-the-loop services
Founded
2020
Raised
$3.5M - $6.5M
Team
28-60
Cheapest paid tier
$59/mo
What Scalenut does
An end-to-end GEO workspace that plans content strategy, monitors brand citations across generative engines like ChatGPT and Perplexity, and generates long-form SEO articles with custom brand voices.
Core features
- AI Visibility Tracker across ChatGPT, Perplexity, and Google AI Overviews
- Keyword cluster generator and topical authority mapper
- Long-form SEO/GEO article writer ('Cruise Mode') with NLP term scoring
- Automated content auditor and page optimizer
- CMS auto-publishing integrations (WordPress, Shopify)
- Internal link mapping engine
The business
Pricing
- Starter$59/mo
- Plus$89/mo
- Professional$199/mo
Funding
$3.5M - $6.5M from Decibel
Pay vs build, cumulative
Break-even at month 2 — after that, every month is money kept.
The hard parts of vibe coding Scalenut
- Multi-engine AI visibility scraping that evades rate limits and dynamic DOM changes across LLM chat interfaces
- Real-time SERP parsing and NLP entity extraction to compute live content optimization scores
- Multi-step asynchronous LLM pipelines ('Cruise Mode') that chain outline generation, factual research, and brand voice adherence without failing
How to vibecode Scalenut
Prerequisites
Node.jsfree
Runtime environment for the Next.js full-stack application
GitHubfree
Source code repository and CI/CD integration
CursorFree tier / $20/mo Pro
AI-native code editor for building and iterating on complex frontend and backend workflows
AI coding tools
Recommended stack
| Frontend | Next.js with Tailwind CSS and shadcn/ui |
|---|---|
| Backend | Next.js API routes with Vercel AI SDK |
| Database | Turso (SQLite at the edge) |
| Auth | better-auth |
| Payments | None (personal use clone) |
| Other | Inngest for background article generation queues, Exa API for semantic web search and research gathering |
Build guide
01Scaffold Project and Authentication
Initialize a Next.js project with Tailwind CSS, shadcn/ui, and configure better-auth with Turso as the database backend.
Create a new Next.js project using Next.js 16, TypeScript, Tailwind CSS, and App Router. Set up better-auth with email/password authentication connected to a Turso SQLite database using the `@libsql/client` driver. Create the core database schema tables for users, workspaces, projects, and articles with proper foreign key relations and indexes. Implement a clean, responsive dashboard layout with a sidebar navigation mimicking an SEO SaaS workspace selector.02Keyword Cluster & Topic Planner Engine
Build an AI-powered keyword planner that takes a seed keyword, calls an LLM via Vercel AI SDK with Exa search grounding, and structures hierarchical topical clusters.
Build a keyword planning module in Next.js using the Vercel AI SDK and Anthropic API. Create an input form where users enter a seed keyword and target country. Write a server action that queries the Exa search API for related queries, passes the results to Claude with a structured JSON output prompt, and returns a categorized topical cluster list with search intent, difficulty estimates, and parent-child topic hierarchies. Store the generated clusters in Turso and display them in a responsive data table with filtering and export capabilities.03Cruise Mode Long-Form Article Generator
Implement a multi-step asynchronous article generation pipeline using Inngest to research, outline, draft, and optimize long-form content.
Implement an asynchronous long-form article generation pipeline using Inngest and the Vercel AI SDK. The workflow must execute four sequential steps: 1) Generate an optimized outline based on top search competitor headings retrieved via Exa; 2) Gather factual research and talking points; 3) Draft each section iteratively with custom brand tone instructions; 4) Compute an NLP term coverage score against target keywords. Save intermediate states to Turso and provide a real-time progress indicator on the frontend polling the job status.04Content Optimizer and NLP Scoring Dashboard
Create a live content editor interface with a real-time NLP term checklist and content scoring algorithm.
Build a rich-text content editor interface in Next.js using a modular block or markdown editor component. Alongside the editor, create a live sidebar panel that analyzes the current document text against a list of required NLP keywords and semantic entities. Calculate a live 'GEO Score' from 0-100 based on keyword density, heading structure, and word count. Highlight missing terms dynamically and provide a button that uses an AI endpoint to suggest contextual sentences incorporating missing terms.05AI Visibility Tracker Dashboard
Build a prompt tracking module that queries LLM endpoints weekly to check for brand citations and presence.
Build an AI Visibility Tracker dashboard that allows users to input target brand names, target domains, and a list of prompts (e.g. 'Best CRM software'). Set up a Cron endpoint protected by a secret token that invokes OpenAI and Perplexity APIs to evaluate whether the target brand is mentioned in the generated answer. Store historical check results in Turso with timestamps and display trend graphs using a chart library like Recharts showing brand citation share over time.
Cost vs paying for Scalenut
What will you build it with?
Starting total with Cursor~$20 one-time
Starting costs (one-time)
- Cursor Pro subscription$20
- Anthropic/OpenAI API starting credits$25
Total~$45 one-time
Ongoing costs (monthly)
- Vercel Hobby/Pro hosting$0 - $20/mo
- LLM API usage (Claude/OpenAI/Exa)~$15/mo
Total~$15-35/mo
Paying for Scalenut
$59/mo - $199/mo
Your time to build
40-60 hours
AI tool credits
$20 (Cursor Pro)
Break-even
1 month vs Professional tier
Vibe code Scalenut: FAQ
- Can you vibe code Scalenut yourself?
- Serious undertaking — 48/100 vibecodeable. Build a personal subset for keyword clustering and LLM article drafting, but keep paying if you need reliable multi-engine AI visibility tracking.
- How long does it take to vibe code Scalenut?
- 3-4 weeks of serious engineering part-time — roughly 40-60 hours of hands-on time with an AI coding agent.
- How do you build your own Scalenut?
- Scoped to personal use: Next.js with Tailwind CSS and shadcn/ui on the front, Next.js API routes with Vercel AI SDK behind it, Turso (SQLite at the edge) for data. Follow the 5-step build guide on this page — each step has a paste-ready prompt for an AI coding agent.
- How do you code your own Scalenut without being an expert?
- Use an AI coding tool (Cursor or Claude Code) and work in small steps: scaffold, data model, core screens, then deploy. Realistic effort: 3-4 weeks of serious engineering part-time. The prompts on this page are written so the AI does the heavy lifting.
- How much does it cost to vibe code Scalenut instead of paying?
- About ~$45 one-time to start and ~$15-35/mo to run, versus $59/mo - $199/mo for Scalenut. Break-even: 1 month vs Professional tier.
- What stack should you use to vibe code Scalenut?
- Next.js with Tailwind CSS and shadcn/ui; Next.js API routes with Vercel AI SDK; Turso (SQLite at the edge); plus Inngest for background article generation queues, Exa API for semantic web search and research gathering.