.webp)
Keyword research for many marketing teams is now happening via chat. You ask Claude or ChatGPT for search volume, competitors, and rankings, and the AI agents fetch the data themselves. For this to work, the agent needs a data source. Two names keep coming up: DataForSEO and OpenSEO.
OpenSEO has published its own comparison of the two providers, naturally with a focus on its own product. We have verified the information from both providers and added our own experiences. At bakedwith, we use DataForSEO directly in Claude via the MCP interface. We use it to check things like search volume and rankings for our blog posts.
What is DataForSEO?
DataForSEO is a provider of SEO data accessed via an API. Tools and companies query search volumes, Google results, backlinks, and competitor data, paying per query. There is no subscription; the minimum deposit is 50 US dollars. You can use the data directly in Claude or ChatGPT via the DataForSEO MCP server.
Many SEO tools you know use DataForSEO in the background. The prices are low: a Google search result costs from 0.0006 US dollars, and a query in the DataForSEO Labs keyword database costs 0.012 US dollars, plus a fraction per result. New accounts receive a 1 US dollar test credit, and deposited credit does not expire.
MCP stands for Model Context Protocol. It is an open standard that allows AI assistants to access external tools. Once the DataForSEO MCP server is connected, Claude selects the appropriate queries itself and evaluates the results.
What is OpenSEO?
OpenSEO is an SEO tool based on DataForSEO data. It describes itself as an open-source alternative to Semrush and Ahrefs. The code is freely available on GitHub under the MIT license and currently has around 23,900 stars (as of October 2026).
The idea behind it is this: according to OpenSEO, countless people have created their own dashboards and Claude code workflows based on DataForSEO, and almost everyone was doing the same thing. OpenSEO packages these workflows into an app and an MCP server. This includes keyword research, rank tracking, competitor and backlink analysis, site audits, and tracking to see how AI assistants talk about your brand. Instructions are available for Claude, ChatGPT, Codex, and Cursor.
The hosted version costs 10 US dollars per month, which includes 10 US dollars in usage fees. If you use more, you pay the DataForSEO prices plus a 28 percent markup. There is a 0.50 US dollar credit for testing. If you host OpenSEO yourself, you pay DataForSEO directly and avoid the markup.
DataForSEO vs. OpenSEO: an overview of the differences
The data is the same in all three cases. If OpenSEO displays a search volume, it comes from DataForSEO. The differences lie in how the data reaches the agent and what happens around it.
Data volume: DataForSEO's responses are built for developers and are very detailed. We notice this in practice. When we queried the rankings for a single blog post, a whole block came back for each keyword: search volume for every month, average backlinks, search intent, and more. The agent doesn't need most of this, but it fills up its context window. OpenSEO trims the responses. For keyword research, for example, the monthly trends are missing, which according to OpenSEO make up about 80 percent of every line. With the DataForSEO MCP server, you can set filters yourself, but you have to configure them.
"No marketing team needs 500 lines of JSON code for a single keyword. The choice between DataForSEO and OpenSEO comes down to convenience: Do you want to set up data filtering yourself in Claude, or use a tool that delivers clean, actionable insights out of the box?" — Jens Bohse, Co-Founder
Memory: Every new session in Claude starts from scratch. You explain your business, your competitors, and your most important pages every single time. OpenSEO saves this information per project, along with a log of previous research, so you don't pay for the same data twice. With DataForSEO directly, you have to build something like this yourself, for example using project files in Claude.
Your own data: DataForSEO shows the market, what is being searched for and who is ranking. Your actual clicks and impressions are in the Google Search Console. OpenSEO connects Search Console and Google Analytics with a Google login. Without OpenSEO, you would need your own Google Cloud project with OAuth access to connect Search Console to Claude.
How much does SEO research with an AI agent cost?
For small teams, both options are affordable. A keyword query that costs 0.10 US dollars with DataForSEO costs about 0.13 US dollars with OpenSEO. If you research a few articles and track some keywords each month, you can often get by with the 10 US dollars included in OpenSEO. With DataForSEO, a 50 US dollar credit will last a long time for a small blog.
It’s worth taking a closer look at rank tracking. DataForSEO offers two methods: live queries provide instant results but cost more. Queue-based queries take longer but are cheaper—according to OpenSEO, about a third of the price. OpenSEO uses the queue for scheduled ranking checks. Custom-built solutions usually call the live interface because the queue requires more programming effort. For regular tracking of many keywords, OpenSEO can therefore be more cost-effective despite the markup.
What SEO with an AI agent looks like in everyday life
Typical tasks you can hand off to Claude or ChatGPT using either method:
- Keyword research: The agent checks search volume and difficulty for 20 terms and suggests a title.
- Updating articles: It finds keywords for which an article is ranking on page two. For one of our articles, this revealed that it was ranking 17th for "chatgpt personalisieren vorlage" (ChatGPT personalize template), which has 210 searches per month.
- Competitor analysis: It looks at who is ranking for your most important terms and what those pages are doing differently.
- AI visibility: It checks whether ChatGPT and other assistants mention your brand. You can find out how to build on this in our article on GEO strategy.
Looking to boost your content’s reach across search engines and AI models? For a comprehensive overview of top solutions to enhance your visibility in AI search, check out our guide on the 5 best AI SEO tools.
Limitations and what to watch out for
Estimates: Search volumes are estimates and can fluctuate significantly for niche keywords. One term from our research jumped from 20 to 90 searches within a month. When making decisions, focus on the general scale rather than the exact number.
Errors: Live queries sometimes fail. During research for our blog, DataForSEO’s Google search returned a server error three times in a row. A good agent will try again later or continue working with the remaining data. OpenSEO claims to catch these errors, ensuring that a single faulty keyword doesn't cause the entire query to fail.
Costs: AI agents pull data quickly and frequently. With OpenSEO, the agent checks the approximate price before every query. If you use DataForSEO directly, we recommend starting with small deposits and reviewing your billing after the first few weeks.
Data protection: If you connect Search Console or Google Analytics to an external service, you are giving it access to your website data. Check where the provider is based and whether there is a data processing agreement in place. More on this in AI and data protection. When self-hosting, this data stays under your control.
Bottom line: DataForSEO provides the data, OpenSEO makes it manageable for agents.
DataForSEO is the data source behind many SEO tools and can be used directly in Claude or ChatGPT via MCP. OpenSEO builds on top of that and adds what's missing in day-to-day work: shorter answers for the agent, projects with memory, rank tracking, and Search Console integration. If you're a marketing team without developers, we'd recommend starting with the hosted version of OpenSEO. If you're already building your own workflows with Claude Code or need raw data for your own analysis, DataForSEO directly or OpenSEO on your own server is the way to go.
The best way to get started: Use the trial credit from OpenSEO or DataForSEO, connect the MCP server to Claude, and have it research keywords for your next blog post. Compare the results with what you already know from Search Console.
If you want to bring SEO research with AI agents into your marketing, reach out to us for an AI consultation.
Get a free strategy call and discover how AI can help you automate workflows, create better content, and scale your marketing.
Book a call
FAQ: Frequently asked questions about DataForSEO and OpenSEO
What is DataForSEO?
DataForSEO is a provider of SEO data such as search volume, Google results, and backlinks. You retrieve the data via an API or MCP server and pay per query, starting with a $50 deposit. Many well-known SEO tools use DataForSEO in the background.
Is OpenSEO free?
The code is free and available under the MIT license on GitHub. If you host it yourself, you only pay for the data from DataForSEO and your own hosting costs. The hosted version costs $10 per month, which includes $10 worth of usage.
What is an MCP server?
An MCP server connects an AI assistant like Claude or ChatGPT to an external tool. The assistant can then retrieve data or perform actions on its own. It is based on the open Model Context Protocol.
Can I use DataForSEO with ChatGPT?
Yes, via the MCP server. This works with any AI client that supports MCP, including Claude, Codex, or Cursor. OpenSEO provides its own guides for these clients.
Is DataForSEO an alternative to Semrush or Ahrefs?
In terms of data, yes; in terms of usability, no. DataForSEO provides raw data without its own interface for marketing teams. OpenSEO positions itself as an open-source alternative to Semrush and Ahrefs, complete with an app and agent integration.
How do I connect Google Search Console to Claude?
The easiest way is via OpenSEO, where a simple Google login is all you need. Alternatively, there are dedicated MCP servers for Search Console. For those, you'll need a Google Cloud project and OAuth access, which requires a bit of technical know-how.
Posted by:
Jens is the co-founder of bakedwith, a boutique consultancy firm specialising in smart automation and AI. He helps medium-sized companies and corporations to optimise processes, reduce manual work and achieve growth through efficient workflows. Previously, he was Growth Lead at OMR and worked as a freelancer, helping numerous companies optimise their CRM and automation systems. Jens is passionate about combining growth and efficiency to enable teams to focus on what matters most.
.webp)
.webp)
.webp)
