
OpenSEO
by OpenSEO · Open source SEO platform billed by usage, with MCP access for AI agents
BenchRank score
Screenshots of OpenSEO
Homepage
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.
This doesn’t look right — report a problem with OpenSEO’s score
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.
Alternatives in SEO & Content Optimisation
Ranked 2
22.2 — BenchRank score out of 100sunbeam
Positional · Autonomous SEO agent for strategy, content and technical SEO
Best for: Marketing teams wanting SEO strategy, content and technical fixes run by a single agent
Is this your product?
Claim OpenSEO to manage its profile. Claiming lets you suggest edits to the descriptive fields — it never changes scores or rankings.
