BenchRank
#1 in SEO & Content OptimisationUpdated 2026-08

OpenSEO

by OpenSEO · Open source SEO platform billed by usage, with MCP access for AI agents

BenchRank score

56.1 — BenchRank score out of 100

Screenshots of OpenSEO

Homepage · OpenSEO

Homepage of OpenSEO

Overview

OpenSEO is an open source SEO platform covering keyword research, saved keywords, rank tracking, domain overview, backlinks, site audits and AI-search visibility, all built on DataForSEO data. It is sold as a $10/month base plan that includes $10 of usage credits, with further work billed against credits. MCP servers expose the same data to Claude, Codex and other AI clients.

Best for
Solo founders, freelancers and agencies who want usage-priced SEO data inside their AI agents
Pricing
Base plan at $10/month including $10 of usage credits, with top-up credits sold separately; a free trial includes $0.50 of credits.
Runs on
WebSelf-hosted

Strengths and trade-offs

Strengths

  • One $10/month plan that includes $10 of usage credits
  • Open source, self-hostable, 9.9k GitHub stars
  • MCP servers connect Claude, Codex and other AI clients
  • Google Search Console data does not consume credits

Trade-offs

  • An active subscription is required even if you hold top-up credits
  • Included credits reset each cycle; only top-up credits roll over
  • Tasks return errors once the month's credits are used up
  • AI brand checks are expensive at about $1.09 each

How OpenSEO markets itself

A structured read of the promise, proof and page design on OpenSEO’s captured homepage.

Homepage capture

“The modern, open source SEO platform.”

  • Angle: Open source / ownership
  • Hero: Typography only

Pricing

Published plans and prices from OpenSEO’s own pricing page.

How this score is made up

Each dimension is scored out of 100 and combined into the headline score using fixed weights.

  • MCP support

    Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.

  • API quality

    Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.

  • Documentation

    Publicly reachable docs — coverage, freshness, code samples and machine readability.

  • Agent friendliness

    How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.

  • Pricing transparency

    Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.

  • Changelog

    A public, dated record of what shipped and when — the clearest signal that a product is still alive.

  • Marketing site structure

    Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.

  • Page speed

    How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.

  • Operational trust

    Status page and incident history, security disclosure, compliance and data-processing documentation.

Measured, but not part of the score

Useful to know, but not a mark for or against the product — so these do not affect the ranking.

  • Openness

    Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.

  • Maintenance

    Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.

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Where this comes from

The OpenSEO pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.

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