AI SEO & marketing that creates research-backed content at scale
Scalenut is an AI-powered SEO & marketing platform that generates research-driven long-form content and SEO briefs for marketers and agencies, offering accessible plans for solo creators up to teams. It combines keyword research, SERP-based content briefs, and an AI writer with templates to speed content production; pricing includes a limited free tier and tiered paid plans suited for growing content teams.
Scalenut is an AI SEO & marketing platform that helps teams research, plan, and generate long-form SEO content quickly. Its primary capability is combining keyword research and SERP analysis with an AI writing studio to produce SEO briefs and articles in one workflow. Scalenut differentiates itself with integrated topic/keyword research, AI-driven content briefs based on live SERP data, and a built-in content editor for drafting and optimization. It serves content marketers, in-house SEO teams, and small agencies. Pricing is tiered with a constrained free plan and paid subscriptions that unlock higher monthly word limits and collaboration features.
Scalenut is an AI-first SEO & marketing tool designed to accelerate the research-to-content workflow. Founded in 2020 and headquartered in India, it positions itself for SEO teams and content agencies that need research-backed writing at scale rather than only standalone text generation. The core value proposition is unifying keyword and topical research, SERP-based content briefs, and an AI writer/editor inside one product so teams can move from idea to publishable draft without stitching multiple apps. Scalenut emphasizes measurable SEO outputs—rankable content briefs and content score metrics—rather than generic creative copy generation.
Under the hood Scalenut packages several concrete features. The Keyword & Topic Research module provides keyword suggestions, search intent labels, and search volume/competition estimates, helping prioritize topics. The AI Content Research and Briefs tool compiles top-ranking pages, extracts headings and target questions, and generates a brief you can edit; briefs include recommended word counts and keyword placements derived from live SERP signals. The AI Writer (Content Studio) offers templates for blog posts, product pages, and outlines; it can expand outlines into sections, rewrite paragraphs, and produce meta descriptions. The platform also includes a Content Planner and Workspace collaboration with versioning, plus on-page content optimization metrics (content score) tied to recommended keywords and readability guidance.
Scalenut’s pricing has a free tier with limited monthly credits for testing the AI writer and basic research. Paid plans are available monthly or annually; as of 2026 the most common published tiers are the Growth/Pro plan and a higher Team plan (exact prices vary by billing term and promotions). The Growth/Pro tier raises monthly word limits, unlocks bulk keyword research, and enables more simultaneous projects and team seats. The Team/Enterprise tiers add multi-user seats, white-label exports, higher quota, and priority support. Enterprise customers can request custom SLAs and SSO. Note: exact prices and word quotas change frequently—check Scalenut’s pricing page for current numbers and annual-discounted rates.
Scalenut is used by head of content and SEO specialists to produce optimized blog posts and by agencies to manage multi-client content calendars. Example: an SEO Manager uses Scalenut to create data-driven content briefs and reduce research time per article by producing SERP-informed outlines. A Content Strategist at an agency uses the Planner and collaboration features to scale article production across 10+ client websites. In comparative workflows, Scalenut is often chosen over standalone AI writers because it ties generation to live SERP analysis; consider alternatives like MarketMuse or Surfer SEO when prioritizing deeper topic modeling or advanced on-page auditing.
Three capabilities that set Scalenut apart from its nearest competitors.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free | Free | Limited monthly AI credits, basic briefs, single user | Trying features and small tests |
| Growth / Pro | $39/month | Typical ~100K words/month and 3 projects (annual billing example) | Freelancers and solo marketers |
| Team | $149/month | Higher word quota, 5+ seats, collaboration and approvals | Small agencies and in-house teams |
| Enterprise | Custom | Custom quotas, SSO, dedicated support, SLA | Large organizations and agencies |
Copy these into Scalenut as-is. Each targets a different high-value workflow.
You are a senior SEO content writer. Produce a single, ready-to-publish blog post for the topic and primary keyword below. Constraints: 700 +/- 50 words total; include a compelling H1; an intro of 40-60 words; three H2 sections each 150-200 words with useful subpoints; a conclusion of 50-70 words; include 3 suggested internal links (URL + anchor text); write a meta title (<=60 characters) and meta description (<=155 characters). Output format: plain text with labeled sections: META, H1, INTRO, H2-1, H2-2, H2-3, CONCLUSION, INTERNAL LINKS. Replace TOPIC and PRIMARY_KEYWORD below. Topic: [TOPIC]. Primary keyword: [PRIMARY_KEYWORD].
You are an SEO specialist. For the target page described below, produce: 1) Meta title (<=60 chars) 2) Meta description (<=155 chars) 3) H1 tag 4) 2 FAQ Q&A pairs for schema 5) Valid JSON-LD FAQ schema including both Q&A. Constraints: keep tone authoritative, include the primary keyword once in the meta title and once in the H1, each FAQ answer 25-50 words. Output format: JSON object with keys: meta_title, meta_description, h1, faq (array), json_ld. Page description: [BRIEF PAGE DESCRIPTION]. Primary keyword: [PRIMARY_KEYWORD].
You are a content strategist. Given the main topic placeholder below, generate a topical cluster plan with exactly 8 cluster pages. Constraints: for each cluster provide: title (6-10 words), search intent (informational/navigational/transactional), one suggested primary keyword, 3 long-tail keyword variations, estimated monthly search volume range (low/med/high), and recommended internal linking anchor to the pillar. Output format: JSON array of 8 objects with keys: title, intent, primary_keyword, long_tails, volume_estimate, suggested_anchor. Main topic: [MAIN_TOPIC].
You are an SEO analyst creating a content brief. For the target keyword below, analyze the top 5 SERP URLs and produce a brief with these sections: target_keyword, search_intent (single word), recommended_article_length (words) with rationale, top 5 competitor URLs with one-sentence summary of their angle, common headings/topics to cover (list), LSI/related keywords (10), suggested internal links (3), and top 3 suggested H2s. Constraints: brief must be concise (max 300 words) and actionable. Output format: JSON object. Target keyword: [TARGET_KEYWORD].
You are Head of Content for an agency. Multi-step: 1) Accept a list of clients and monthly post counts (example input shown). 2) For each client generate a one-month calendar with publish dates (Mon-Fri), 4-5-word SEO title ideas, target primary keyword, suggested article type (how-to/list/case study), and owner role (writer/editor). Constraints: respect each client's requested post count, avoid duplicate target keywords across the same client's month, schedule spacing evenly across business days. Output format: JSON object with client keys and arrays of scheduled posts. Example input: [{"client":"AcmeCo","posts":4},{"client":"GreenHome","posts":6}]. Now produce calendar template for the example input.
You are a senior technical SEO consultant. Given the list of site audit findings the user will paste (examples below), produce a prioritized action plan with: priority (P1/P2/P3), task description, technical owner (developer/SEO/content), estimated hours, expected SEO impact (low/medium/high), and required deliverables. Constraints: group similar issues into clusters, provide a 3-sprint timeline (Sprint 1–3) with recommended tasks per sprint. Output format: JSON with clusters and sprint_assignment arrays. Example findings: "duplicate meta descriptions on 120 pages", "slow TTFB on homepage", "no canonical tags on pagination". Now create the action plan for those example findings.
Choose Scalenut over SurferSEO if you want an all-in-one research-to-writing workflow rather than a separate optimization tool.
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