Editorial review·Last reviewed June 2026·By the GrowthManager.ai editorial team

Serpstat review

Visit serpstat.com
Starts at
$50/mo
Founded
2013
HQ
Tallinn, Estonia
Funding
$250K seed
Platforms
G2 rating
4.6 / 5 (463)

Our take, in one paragraph

Serpstat is one of the more established names in this category, dating back to 2013. Pricing starts at $50/mo across 4 tiers. Named customers include Toyota, Lexus, Subaru and 4 more. Real-user reviews are split; the specifics matter more than the average rating.

In their own words: All-in-one SEO platform with keyword tracking and AI Search visibility reports.

Who Serpstat is for, and who it isn't

Best for
  • Mid-market teams. Entry at $50/mo lands in the typical mid-market SaaS range, neither bargain nor enterprise.
  • Classic SEO teams adding AI visibility. If you already pay for SEO tooling, the AI search module is an incremental add rather than a separate procurement cycle.
Not for
  • AI-search-only buyers. If your only goal is ChatGPT and Perplexity visibility, the dedicated AI visibility tools are tighter than the SEO-platform retrofit.

What real users say

Distilled from G2, Capterra, SourceForge, Reddit, and case-study reviews. Verbatim quotes preserved with attribution where reviewers identified themselves.

What people praise

Lowest entry pricing of any all-in-one SEO platform, with the Individual plan at $50/mo making it accessible to freelancers and small businesses where Ahrefs and Semrush start at $129+.

Site audit tool categorizes issues by priority with clear remediation steps, which reviewers consistently call out as genuinely useful.

Custom GPT in ChatGPT and a native MCP server lets users query live Serpstat data from Claude, ChatGPT, or Gemini in plain language.

Where it falls short

Customer support is widely criticized for 24+ hour response times, unresolved tickets, and no live agent option.

Reviewers report data accuracy issues, especially in keyword volume and backlink data compared to Ahrefs or Semrush.

UI feels dated and slower than competitors, with reviewers noting a clunky experience when navigating between tools.

How Serpstat actually works

The methodology behind the product, in plain English. Helpful if you're comparing technical approaches.

Data source
Serpstat's SEO Keywords Database covers 7.2 billion keywords across 229-230 countries. Aggregate scale: 230 Google regions, 1.1 trillion backlinks, 470 million referring domains, 7.12 billion keywords, 2.01 billion keywords in SERP, 1.49 billion domains, and 4.76 million ads. Serpstat receives data from third-party services under NDA.
Update frequency
New keywords are added daily, and existing data is constantly refreshed. Data is updated based on the volume of keywords: high-volume keywords are updated faster than low-volume ones. The full cycle of the database update takes approximately three months.
Scope and limits
Database is formed based on the TOP 100 Google search results across all regions. Serpstat checks keywords for quality and deletes phrases with frequency close to zero (rubbish keywords) before adding them to the database. During the update process, Search Volume, Keyword Difficulty, Competition, Cost, and the first 100 positions in the search results for each keyword are refreshed.
Technical approach
Serpstat aggregates third-party data feeds and continuously crawls SERPs to build its own SERP dataset, applies quality filters and proprietary metrics, and exposes everything via the dashboard, API and an MCP server that integrates with ChatGPT, Claude AI and Gemini CLI for natural-language SEO workflows.

Pricing

Pulled from Serpstat's public pricing page on 2026-06-07. We re-pull hourly.

Individual
$50/mo
save up to 27% with annual billing
  • 5 projects
  • 100 daily searches
  • 10,000 monthly position checks
  • Core SEO tools (keyword research, site analysis, rank tracking, site audit, backlink analysis)
Team
$100/mo
save up to 27% with annual billing
  • Unlimited projects
  • 500 daily searches
  • 50,000 monthly position checks
  • API access
  • ChatGPT and Claude MCP integration
  • AI tools, batch analysis, and scheduled reports
Team x2
$169/mo
save up to 27% with annual billing
  • Unlimited projects
  • 1,000 daily searches
  • 100,000 monthly position checks
  • 300,000 pages auditable monthly
  • All Team plan features
Agency
$410/mo
save up to 27% with annual billing
  • Unlimited projects
  • 5,000 daily searches
  • 500,000 monthly position checks
  • 1.5M pages auditable monthly
  • White-label reports
  • Phone support

What's shipped recently

Launches from the last 12 months. A signal of what they're focused on.

  1. Apr 14, 2026

    getDomainsRatingData API (bulk 200-domain queries)

    New API method letting users pass up to 200 domains and receive per-domain data including traffic, visibility and backlink metrics in one call.

  2. Mar 19, 2026

    Claude AI Skills for SEO

    Pre-built Claude skill instructions that generate complete SEO reports automatically, including competitive analysis and content strategy planning.

  3. Feb 13, 2026

    MCP Server ChatGPT integration

    Serpstat's Model Context Protocol now works with ChatGPT via a custom connector for AI-driven SEO analysis, complementing existing Claude and Gemini CLI support.

What executives say

Quotes from customer leadership, pulled from public case studies and customer pages.

Serpstat has become an essential tool for our SEO department

Serpstat is one of my favourite SEO and keyword research tools

Who's behind it

  • Oleg Salamaha
    Founder and VP of Product
  • Artem Borodatyuk
    Co-founder and CEO of parent Netpeak Group

Where they show up

Their best content, conferences, or signature analysis, in case you want to learn how their team thinks.

Integrations

Native integrations grouped by category. Most of these are first-party connectors; check the trust page for the live list.

Other
Google Analytics 4Google Search ConsoleChatGPT (custom GPT)Claude (MCP)Gemini CLI (MCP)Cursor (MCP)Looker StudioZapierSerpstat Public APIGoogle Data Studio

Security and compliance

What your security review will care about, sourced from Serpstat's trust page where one exists.

?SOC 2 Type 2
?ISO 27001
GDPR
?HIPAA

Our recommendation: GrowthManager.ai

Serpstat is a great tool if you have an in-house team to act on the data. GrowthManager.ai gives you the same tracking and acts on it. We write 100 articles per month, configure the schema and llms.txt, build backlinks, and seed Reddit and Quora. $999/mo, managed end-to-end.

Frequently asked questions

What does Serpstat do?

All-in-one SEO platform with keyword tracking and AI Search visibility reports. Pricing starts at $50/mo.

How much does Serpstat cost?

Serpstat starts at $50/mo and runs across 4 tiers. For comparison, GrowthManager.ai is $999/mo for the full managed program (tracking + content + infrastructure + distribution), so if you'd otherwise pay Serpstat and hire an agency to act on the data, we're usually cheaper end-to-end.

What's the best alternative to Serpstat?

Depends on what you're trying to do. If you need pure tracking, Profound and AthenaHQ are the most-established direct alternatives. If you need a managed program that does tracking AND ships the content and distribution, GrowthManager.ai is the editorial pick on this site (and yes, we publish this review).

Is Serpstat worth it?

For teams that already have in-house content production and just need a measurement layer, Serpstat can be worth it. The shortcoming most users mention is that Serpstat tells you what's wrong without fixing it; you still need a team or an agency to act on the recommendations. GrowthManager.ai bundles the measurement and the team at $999/mo, which usually beats stacking Serpstat plus an agency.

Does Serpstat do content creation, infrastructure, and distribution?

No. Serpstat is a measurement and reporting tool. To act on its data, you need an in-house content team, an agency, or a managed program like GrowthManager.ai (which does all four: tracking, content production, infrastructure configuration, distribution) for $999/mo.

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

GrowthManager.ai makes a competing product, so this review is not neutral. Pricing was pulled from Serpstat's public pricing page or triangulated from third-party reviews when not public. Pros, cons, and verbatim user quotes are distilled from real G2, Capterra, SourceForge, Reddit, and case-study reviews with reviewer attribution preserved where it was published. Case-study metrics come from Serpstat's own customer pages. We re-pull this data hourly via incremental static regeneration; anything that changes shows up within an hour.