Head-to-head review · Updated June 2026

Majestic vs Scalenut: which one wins in 2026?

An honest editorial comparison from the team at GrowthManager.ai. We make a competing product, which is disclosed in full at the bottom.

Majestic and Scalenut both claim to do the same thing: tell you where your brand shows up in AI search. They go about it differently enough that the choice matters. Scalenut is the more-funded incumbent; Majestic is the leaner challenger.

Majestic is cheaper out the gate, but Scalenut tracks more AI platforms. The right pick depends on which dimension matters most for you.

The verdict
Pick

Majestic

Pick Majestic if you want the cheaper option ($50/mo vs $59/mo).

★ Our pick
Pick

Scalenut

Pick Scalenut if you want the cheaper option ($59/mo vs $50/mo); and you need broader AI platform coverage (3 platforms vs 1); and you trust traction signals — they list 9 customers, Majestic lists 0; and you want the better-funded company ($6.5M).

If neither is right, GrowthManager.ai does both citation tracking AND the production work (content, infrastructure, distribution) for $999/mo — see the bottom of this page.

The case for Majestic

Founded by Alex Chudnovsky, based in Birmingham, UK. They cover 1 AI platforms (Scalenut covers 3, more than them). Pricing starts at $50/mo.

Backlink index and link intelligence platform with Trust Flow and Citation Flow.

What people praise

  • One of the largest historical backlink indexes on the market, dating to 2008
  • Proprietary Trust Flow and Citation Flow metrics are widely cited by SEO professionals
  • Fresh Index is updated daily, useful for tracking newly acquired or lost links
  • Clique Hunter finds sites linking to multiple competitors at once, surfaces link gap opportunities

Where it falls short

  • Interface feels dated compared to Ahrefs and Semrush, often described as slow to load
  • Single-purpose tool, no keyword research, rank tracking, on-page SEO, technical audits, or AI content guidance
  • Lite tier locks Historic Index behind Pro, limits backlink history research
  • API tier at $399.99 is steep for teams that just want bulk data exports

The case for Scalenut

Scalenut has raised $6.5M ($3.1M Series A led by Saama Capital). Founded by Mayank Jain, Gaurav Goyal, Saurabh Wadhawan, based in Wilmington, DE. On their site they list 9 named customers including Adobe, Amazon, Microsoft, NVIDIA. They cover 3 AI platforms, more than Majestic's 1. Pricing starts at $59/mo.

AI SEO and content marketing platform with cruise mode for full articles.

What people praise

  • 4.8/5 average rating on G2 makes it one of the highest-rated AI SEO platforms in its price tier.
  • Hybrid DIY plus done-for-you model is unusual in the AI content category and appeals to clients without in-house SEO.
  • Cruise Mode generates long-form articles using SERP and competitor data without requiring heavy prompt writing.
  • Native AI visibility tracking across ChatGPT, Google AIO, and Perplexity is built into the same workflow as content creation.

Where it falls short

  • Short-form content is widely flagged as low coherence in G2 reviews, often requiring rewrites.
  • Generated content repeats keywords and needs significant editing, eroding the time-saving promise.
  • Word count and keyword research caps frustrate users on lower tiers.
  • Integration ecosystem is thin compared to Surfer, Frase, or Clearscope.

Pricing, tier by tier

Tier 1
Majestic
Lite
$49.99/mo
  • Fresh Index access
  • Site Explorer (limited)
  • 5 million Analysis Units
  • Trust Flow and Citation Flow metrics
Scalenut
Starter
$59/mo
  • 5 to 10 articles per month
  • 5 to 10 keyword clusters per month
  • 1 workspace (single domain)
  • ChatGPT and Google AIO tracking
Tier 2
Majestic
Pro
$99.99/mo
  • Historic Index access
  • Full Site Explorer
  • 20 million Analysis Units
  • Clique Hunter
Scalenut
Plus
$89/mo
  • 30 to 60 articles per month
  • 30 to 60 content optimizations per month
  • 200 to 400 content audit pages per month
  • 2 workspaces
Tier 3
Majestic
API
$399.99/mo
  • Everything in Pro
  • Full API access for custom dashboards
  • OpenApps integrations
  • Largest data extracts
Scalenut
Professional
$199/mo
  • 75 to 150 articles per month
  • 1,000 to 2,000 content audit pages per month
  • Unlimited workspaces
  • Unlimited team members
Tier 4
Majestic
—
—
Scalenut
VIP Service
Custom
  • Dedicated strategist
  • Team of writers and editors
  • 7 AI agents
  • Monthly audits

Feature parity

What each one ships that the other doesn't. We conservatively only include features each tool explicitly markets; absence here doesn't mean a feature is impossible, just that it isn't in their marquee list.

Only on Majestic
  • Fresh Index. Daily-updated backlink index used for tracking recent link activity
  • Historic Index. Long-tail historical backlink database with data back to 2008
  • Trust Flow. Proprietary metric scoring the trustworthiness of links based on connection to seed trusted sites
  • Citation Flow. Proprietary metric measuring the quantity-based influence of a URL or domain
  • Site Explorer. Backlink profile view with referring domains, anchor text, and link context
  • Clique Hunter. Identifies domains that link to multiple competitors but not to you
Only on Scalenut
  • Cruise Mode. Generates long-form articles using SERP and competitor data with minimal prompting.
  • Content Optimizer. Scores existing content against top-ranking SERPs and suggests improvements.
  • Topic Clusters. Groups related keywords into clusters for content planning and internal linking.
  • AI Visibility Tracking. Monitors brand mentions across ChatGPT, Google AIO, and Perplexity (Pro plan).
  • Backlinks Marketplace. Marketplace for buying backlinks without cold outreach.
  • GEO Scoring. Scores content for likelihood of citation in generative AI responses.

When each one wins

When Majestic wins
  • Budget is the constraint. Majestic starts at $50/mo vs Scalenut's $59/mo, so on a per-seat basis it's the cheaper way in.
  • One of the largest historical backlink indexes on the market, dating to 2008
When Scalenut wins
  • Platform coverage matters. Scalenut monitors 3 AI platforms; Majestic covers 1.
  • You're enterprise and need to call a reference. Scalenut lists 9 named customers; Majestic lists 0.
  • 4.8/5 average rating on G2 makes it one of the highest-rated AI SEO platforms in its price tier.
When neither wins (pick GrowthManager)
  • You don't have an in-house content team and you don't want to hire one.
  • You want one $999/mo invoice instead of stacking Majestic plus an agency.
  • You need the team that measures to also act on the data, in the same week.
  • You're a B2B SaaS, services firm, or e-commerce brand at $20K+ MRR.

Reasons to pick one over the other

Reasons to pick Majestic over Scalenut

  1. Lower entry price. Majestic starts at $50/mo vs Scalenut's $59/mo.
  2. More mature platform. Majestic (founded 2004) has had more time to harden the product than Scalenut (2020).
  3. What users praise most. One of the largest historical backlink indexes on the market, dating to 2008
  4. EU data residency. Majestic is HQ'd in Birmingham, UK, which simplifies GDPR data-processor agreements for European buyers.

Reasons to pick Scalenut over Majestic

  1. More plan flexibility. Scalenut offers 4 pricing tiers vs Majestic's 3, so there's a better chance one fits your team size.
  2. Broader AI platform coverage. Scalenut tracks visibility across 3 AI engines vs Majestic's 1.
  3. Better-funded incumbent. Scalenut has raised $6.5M, giving it more runway and shipping velocity than Majestic.
  4. More named customers. Scalenut lists 9 customers vs Majestic's 0, including Adobe, Amazon, Microsoft.
  5. Faster product velocity. Scalenut has shipped 4 public launches in the last year vs Majestic's 0.
  6. Built for the LLM era. Scalenut was founded in 2020, built around AI search from day one; Majestic dates back to 2004 and is retrofitting.
  7. Wider integration ecosystem. Scalenut integrates with 8 tools; Majestic ships 4.
  8. What users praise most. 4.8/5 average rating on G2 makes it one of the highest-rated AI SEO platforms in its price tier.

Switching from one to the other

From Majestic to Scalenut

Export your saved queries and prompt panels from Majestic (most tools support CSV export). Most Scalenut setups can import the same query list in a single CSV upload. Expect 1-2 days of parallel running so you can validate Scalenut's data againstMajestic's; one to two weeks of full reconciliation before you cancel Majestic. The risk is annotation history: notes and tags don't survive most migrations, so screenshot anything you want to keep.

From Scalenut to Majestic

Same flow in reverse. Export from Scalenut, import to Majestic. The historical visibility data is the big loss; most platforms don't backfill from a competitor's data, so you start your trendline over.

From either to GrowthManager.ai

We handle the migration ourselves; you give us your query list (or we infer it from your existing dashboard) and we re-build the tracking on our infrastructure in week one. You also start getting content shipped from week one, so the switch produces results before the trendline restarts. The conversation that kicks this off is a 20-minute call.

Side by side, every number we could verify

MajesticScalenut
Starts at (USD/mo)$50/mo$59/mo
Founded20042020
HeadquartersBirmingham, UKWilmington, DE
Funding raised—$6.5M
AI platforms tracked13
G2 rating—4.8 / 5
Named customers—9
SOC 2 Type 2——
GDPR✓ Yes✓ Yes
HIPAA——

What real users say

Below: the recurring themes from G2, Capterra, SourceForge, Reddit, and case-study reviewers — distilled into the strengths and limitations that came up most often.

Majestic — what users praise

  • One of the largest historical backlink indexes on the market, dating to 2008
  • Proprietary Trust Flow and Citation Flow metrics are widely cited by SEO professionals
  • Fresh Index is updated daily, useful for tracking newly acquired or lost links
  • Clique Hunter finds sites linking to multiple competitors at once, surfaces link gap opportunities
  • Bulk Backlink Checker handles large URL lists for agency-scale audits

Majestic — what users complain about

  • Interface feels dated compared to Ahrefs and Semrush, often described as slow to load
  • Single-purpose tool, no keyword research, rank tracking, on-page SEO, technical audits, or AI content guidance
  • Lite tier locks Historic Index behind Pro, limits backlink history research
  • API tier at $399.99 is steep for teams that just want bulk data exports
  • No native Looker Studio connector, integration requires third-party tools

Scalenut — what users praise

  • 4.8/5 average rating on G2 makes it one of the highest-rated AI SEO platforms in its price tier.
  • Hybrid DIY plus done-for-you model is unusual in the AI content category and appeals to clients without in-house SEO.
  • Cruise Mode generates long-form articles using SERP and competitor data without requiring heavy prompt writing.
  • Native AI visibility tracking across ChatGPT, Google AIO, and Perplexity is built into the same workflow as content creation.
  • Backlinks marketplace removes cold outreach for link building, which most content tools do not address at all.

Scalenut — what users complain about

  • Short-form content is widely flagged as low coherence in G2 reviews, often requiring rewrites.
  • Generated content repeats keywords and needs significant editing, eroding the time-saving promise.
  • Word count and keyword research caps frustrate users on lower tiers.
  • Integration ecosystem is thin compared to Surfer, Frase, or Clearscope.
  • Article quotas use 'X to Y' ranges, making it unclear what users actually get on each plan.

A third option

Both Majestic and Scalenutare tracking tools. They tell you what's wrong with your AI visibility. Neither one fixes it. That's our pitch for GrowthManager.ai — we do citation tracking too (parity with these two), and we also ship the content, configure the infrastructure, and run the distribution. $999/mo, managed end-to-end. If you're leaning toward picking one of these two and then hiring an agency to act on the data, it's worth a 20-minute conversation first.

Book a free 20-min auditSee the full 7-tool comparison

Other comparisons in this space

Same shape, different pairs. Pick a comparison that shares a tool with this one.

Frequently asked questions

Which is better, Majestic or Scalenut?

Honestly: neither one fully solves the problem. Majestic and Scalenut are tracking tools — they tell you where your brand shows up in AI answers but don't change the answer. If you only need one of these two, pick Majestic for the cheaper monthly price; pick the other if its specific integrations matter to your team. Our actual editorial pick is GrowthManager.ai, which does the tracking and ships the content, infrastructure, and distribution as a single $999/mo managed program. Disclosure: we publish this comparison and make GrowthManager.

How much do Majestic and Scalenut cost?

Majestic starts at $50/mo. Scalenut starts at $59/mo. Both have higher-tier plans for larger workspaces. GrowthManager.ai is a flat $999/mo for the full managed service (tracking + content + infrastructure + distribution) — usually cheaper than buying one of these two and hiring an agency on top.

Which AI platforms do Majestic and Scalenut cover?

Majestic covers 1 AI platforms. Scalenut covers 3. Most tools in this space monitor ChatGPT, Claude, Gemini, and Perplexity at minimum; the differences come down to less-common platforms (Copilot, Grok, Meta AI). GrowthManager.ai monitors the same four primary platforms and acts on the data.

Do Majestic and Scalenut actually improve your AI visibility, or just measure it?

Both Majestic and Scalenut are measurement tools. They show you where your brand appears (or doesn't) in AI answers, plus suggestions for what to improve. Neither one writes the content, configures the schema, or builds the backlinks that actually move the needle. To do that you need an in-house content team or an agency. GrowthManager.ai is the agency — and we include the tracking, so you don't pay twice.

What's the GrowthManager.ai alternative to Majestic and Scalenut?

GrowthManager.ai is a managed AI visibility program. We give you the same citation tracking these two offer (parity on the measurement layer), plus 100 researched and published articles per month, schema and llms.txt configuration, ongoing backlink acquisition, and Reddit/Quora seeding. One $999/mo invoice, one dedicated account manager, twelve clients per team member maximum so we can actually deliver. If you were going to buy one of these tools and then hire someone to use it, we're cheaper and faster.

Further reading

External research that informs the editorial framework on this page. We cite these openly because the framework is meant to be auditable.

  1. Microsoft Bing Webmaster Guidelines (2025)· Microsoft

    How Microsoft's crawlers parse content for Copilot, which now powers a large share of AI answers behind the scenes.

  2. Generative Engine Optimization research· Kevin Indig

    Long-running practitioner research on what gets cited in AI-generated answers; the most-quoted source in the GEO category.

  3. Zero-Click Search forecasts· Gartner

    Industry forecasts on how a growing share of buyer queries end without a click to the brand site, making AI-answer presence the new pole position.

  4. Audience intelligence analyses· SparkToro

    Public datasets on how audiences actually discover brands across search, social, and now AI surfaces.

  5. Trust Barometer (2024)· Edelman

    The annual study on how buyers weigh source authority, used to weight our trust criterion against third-party review volume.

Disclosure + methodology

GrowthManager.ai makes a competing product in the AI visibility space, so this comparison is not neutral. Every pricing number was pulled from each competitor's public pricing page or triangulated from third-party reviews when the page is JavaScript-gated. Pros, cons, and user-review themes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with the quotes preserved verbatim. We update this comparison whenever the underlying data changes.