frase vs scalenut
Frase vs Scalenut — features, pricing, and which to choose for your SEO workflow in 2026.
Quick Verdict
Frase and Scalenut tackle the same core problem: helping content creators research, plan, and optimize articles for search rankings. But they approach it differently. Frase focuses laser-sharp on content briefs and optimization, making it the go-to for teams that need efficient research workflows. Scalenut positions itself as an all-in-one content platform, bundling keyword research, AI writing, and optimization into one subscription.
The choice comes down to workflow preference and feature needs. Frase excels at turning competitor analysis into actionable content briefs quickly. Scalenut offers broader functionality but at a higher price point, making it better suited for teams that want everything under one roof rather than using multiple specialized tools.
Feature Comparison
Frase's strength lies in its content brief generation. It analyzes top-ranking pages for your target keyword, extracts key topics and questions, and creates detailed briefs that guide your content creation. The optimization feature scores your draft against competitors in real-time, showing exactly which topics to add or expand. Frase also includes answer engine optimization for voice search and featured snippets. Scalenut takes a broader approach with its "Cruise Mode" workflow that starts with keyword research, moves through content planning, then AI writing, and ends with optimization. It includes a keyword research tool that competes with dedicated platforms, SERP analysis similar to Frase's brief generation, an AI writer for full article creation, and content optimization scoring. Scalenut also offers social media content generation and email templates beyond SEO content. The key difference: Frase assumes you'll handle keyword research and writing elsewhere, focusing purely on the research-to-brief pipeline. Scalenut wants to be your entire content workflow from keyword discovery to published article.
Pricing Comparison
Frase starts at $15/month for the Solo plan, which includes unlimited content briefs and optimization for one user. This makes it accessible for freelancers and small teams who primarily need research capabilities. Their higher tiers add team collaboration and more advanced features but stay competitive. Scalenut's entry point is $39/month for their Essential plan, reflecting its broader feature set. This includes keyword research, AI writing credits, and the full optimization suite. However, you're paying for capabilities you might not use if you already have preferred tools for keyword research or AI writing. For teams focused specifically on content briefs and optimization, Frase delivers better value per dollar. Scalenut justifies its higher price if you'll actually use the keyword research, AI writing, and additional content types it provides.
Best For
Frase works best for content teams with established workflows who need to supercharge their research and optimization phase. If you're already using tools like Ahrefs for keyword research and prefer your own writing process, Frase slots in perfectly to bridge the gap with data-driven briefs and competitor analysis. It's ideal for agencies and in-house teams focused on high-quality, research-backed content. Scalenut suits teams starting from scratch or those wanting to consolidate multiple tools. If you're currently subscribing to separate keyword research, content optimization, and AI writing tools, Scalenut's unified platform could reduce costs and complexity. It's particularly valuable for solo marketers or small teams who need the full content creation pipeline in one subscription.
The Verdict
Choose Frase if content briefs and optimization are your primary needs. It's more affordable, easier to integrate into existing workflows, and excels at its core function of turning competitor research into actionable content guidance. Choose Scalenut if you want an all-in-one content platform and will use most of its features. The higher price makes sense only if you're replacing multiple tools, not adding to an already efficient stack.