[Verified] OpenSEO's Free Tier Is Real Only If You Self-Host. Is the Hosted Plan Worth It?

OpenSEO is an open-source SEO (search engine optimization) analysis platform — it does keyword research, backlink analysis, rank tracking, and site audits, and it plugs into AI agents like Claude, Cursor, and ChatGPT so those tools can run SEO checks on command. We looked at its pricing page to answer the question most readers actually type into a search bar: is there a real free tier, and is OpenSEO worth paying for? The short version: yes, there’s a free way to run it, but “free” comes with a catch most people miss.

Two very different “free” paths

OpenSEO’s code is open source, meaning you can download it and run it yourself on your own server. If you do that, OpenSEO itself charges nothing. But the tool still needs data — keyword volumes, backlink counts, ranking positions — and that data comes from DataForSEO’s API (API = the service that lets one piece of software pull data from another). You pay DataForSEO directly for that usage. OpenSEO’s own site doesn’t publish a starting price for this self-hosted route, because there isn’t one to publish — it depends entirely on how much data you pull.

If you’d rather not run a server, there’s a hosted version with a one-time trial credit of US$0.50. That’s not a recurring monthly free allowance — it’s a single pool of credit to test the service before you decide to pay.

Figure: openseo.so official pricing page, captured 2026-10-11.

What the US$10/month hosted plan actually buys

Once the trial credit runs out, the hosted Base Plan costs US$10 a month. That fee comes with US$10 of usage credit baked in — effectively, you’re pre-paying for your own queries. Each type of check is billed individually once you’re using that credit: a keyword search costs about US$0.05, a backlink check costs about US$0.08, and a brand check costs about US$1.09. Credits are the unit OpenSEO bills in — think of them as pre-loaded money against which each query gets deducted.

Illustration: Standard searches consume tiny sparks of credit, but a brand check acts like a massive torch that drains the entire balance instantly.

This is a usage-based model, not a flat subscription with unlimited queries. If your US$10 of monthly credit runs out, you keep paying per query at those same per-check rates. There’s no published cap on how much you can spend beyond that — it scales with how often you query.

Where the per-query costs add up fastest

Brand checks are the expensive one. At roughly US$1.09 each, running even a handful of brand checks a month can burn through the entire US$10 included credit before you’ve touched keyword research or backlinks. Keyword searches and backlink checks are cheap individually, but if you’re running rank tracking across dozens of keywords daily, those US$0.05 and US$0.08 charges accumulate fast too. The tool doesn’t cap your spend — it just keeps billing against your credit balance, then your card, once that balance hits zero.

🔍 AMPM exclusive check

Two things the official pricing page doesn’t make obvious.

First, there’s a widely repeated figure online suggesting self-hosted OpenSEO costs around US$6 a month. We went looking for where that number comes from and could not find any official source on OpenSEO’s site, its pricing page, or its GitHub repository. Self-hosting is genuinely free on OpenSEO’s side — the only cost is whatever you spend on the DataForSEO API, and that figure isn’t fixed or published anywhere by either company. We’re flagging the US$6/month figure as unverified rather than repeating it as fact.

Second, there’s a rollover distinction that matters if you’re budgeting monthly. The US$10 of credit that comes bundled with the Base Plan resets to zero every billing cycle — it does not carry over if you don’t use it. But if you separately buy extra “top-up” credit on top of your plan, that top-up credit has no expiration and stays on your account indefinitely. In other words: use-it-or-lose-it applies to your included monthly US$10, but not to anything extra you buy. That’s a meaningful difference for anyone trying to bank credit for a busy month, and it’s not spelled out plainly on the pricing page itself.

Everything else — the US$10 hosted price, the US$0.50 trial credit, and the US$0.05 / US$0.08 / US$1.09 per-query rates — matched what’s published, checked 2026-10-11.

☀️ AMO, the budget-minded cat

If you can self-host, OpenSEO is as close to actually free as this category gets — you’re only paying DataForSEO for the data you pull, and there’s no OpenSEO license fee sitting on top of that. For anyone comfortable running a server, this beats almost every paid SEO tool on the market by default, because you control exactly how much data you request.

The hosted version is a different story. That US$0.50 trial credit is thin — at US$0.05 per keyword search, that’s about ten searches before you’re out, or roughly six backlink checks at US$0.08 each, or less than half of one single brand check at US$1.09. You will hit the wall almost immediately if you’re testing anything beyond a toy query. Once you’re on the US$10/month Base Plan, that credit resets every cycle rather than banking up, so if you have a quiet month, you lose whatever you didn’t spend. My take: the self-hosted route is worth the setup effort if you have any technical staff at all. The hosted plan at US$10/month is fine for light, occasional use, but it stops being a bargain the moment brand checks or heavy rank tracking enter the picture — those per-query costs eat the included credit fast, and then you’re paying full price per check with no cap in sight.

🌙 PIMI, the performance-minded cat

Functionally, OpenSEO covers the core SEO toolkit — keyword research, backlink analysis, rank tracking, site audits — and the standout feature is native integration with AI agents like Claude, Cursor, and ChatGPT. That means these checks can run as part of an automated agent workflow instead of a human manually pulling reports, which is the direction a lot of SEO tooling is heading.

Being open source on GitHub also means self-hosted deployments have no artificial query cap — your only limit is your DataForSEO API spend and your own infrastructure. That’s a real advantage over tools that throttle you at a fixed seat or query count regardless of what you’re willing to pay for data.

The hosted version trades that flexibility for convenience: no server to run, but you’re capped by whatever credit sits in your account, and overage pricing kicks in per check. The per-query rates themselves are reasonable for keyword and backlink checks (US$0.05 and US$0.08), but a US$1.09 brand check is steep if you’re running it repeatedly rather than occasionally. For teams that want this wired into an AI agent pipeline and expect to run high query volumes, self-hosting is the only way to avoid unpredictable monthly bills — the hosted plan’s usage-based billing works against you exactly when the tool is working hardest.

Verdict: who should use it, who should skip it

Use it if: you have someone technical enough to self-host, since that removes OpenSEO’s own fee entirely and leaves you controlling costs directly through DataForSEO usage. It’s also a good fit if you specifically want SEO checks wired into Claude, Cursor, or ChatGPT agent workflows, since that integration is a core feature here rather than an add-on.

Skip it, or at least go in cautious, if you want predictable flat pricing and don’t want to track per-query costs. The hosted US$10/month plan looks cheap on the surface, but brand checks at US$1.09 each and credit that resets every cycle instead of rolling over mean your actual monthly cost can swing a lot depending on how you use it. If brand checks are a regular part of your workflow, model out your expected volume against that US$1.09 rate before committing — it adds up faster than the US$10 headline price suggests.

Written: 2026-10-11 Price last verified: 2026-10-11 Tool last health-checked: 2026-10-11

🔗 Related on AMPM

• OpenSEO pricing & free tier

📎 Sources

All prices and quotas in this article come from AMPM’s verified dataset for OpenSEO (last verified 2026-10-11); primary sources:

• https://openseo.so/pricing
• https://openseo.so

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