OpenSEO

OpenSEO

OpenSEO is an open-source SEO workspace for keyword research and SERP inspection, rank tracking, domain overviews, backlink checks, and site audits, with support for AI visibility and MCP agent workflows. It can be self-hosted.

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About This Tool

What is OpenSEO

OpenSEO is an open-source SEO platform that positions itself on its official website as an "open-source alternative to Semrush," bringing common SEO tasks such as keyword research, rank tracking, domain analysis, backlink checks, and site audits together in a single workspace.

Confirmed key features

  • Keyword workflows: Keyword research (discover keyword ideas and view SERPs), saved keyword management, and rank tracking.
  • Domain research: Domain overview (analyze competitor visibility), backlinks (view links and referring domains), and site audits (check page-level SEO signals).
  • AI visibility: AI Visibility lets you research prompts and track where your brand is mentioned and cited; Prompt Explorer lets you compare answers across supported models.
  • AI agent access: OpenSEO MCP and Google Search Console MCP are available, allowing agents such as Claude and Codex to call research tools and Search Console data.

Data and openness

The official website states that keyword data comes from DataForSEO, and you can connect Google Search Console to get real site performance. OpenSEO is 100% open source, supports self-hosting and customization, and also offers an official hosted app.

Pricing

The keyword research page on the official website mentions that you can start for free, with a paid plan at $10 per month that includes usage credits; when self-hosting, you can use your own DataForSEO account. For specific credits and terms, refer to the official pricing page.

Use cases

It is suitable for independent site owners, content teams, and growth teams who want to handle keyword planning, competitor analysis, backlink checks, and technical audits with one toolset, as well as for users who want to connect SEO data to AI agent workflows through MCP.

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