Draft.dev

SEO Keyword Opportunities in Developer Marketing

Karl Hughes
7 min read
developer-marketing
TL;DR:Target keywords with 100+ monthly searches and difficulty scores under 20. Focus on high-growth areas like Kubernetes (5+ terms with 1,000+ searches), Python (the most-searched programming language), GraphQL (emerging API standard), Go and TypeScript (most-wanted languages), and open source software. Success requires technical expertise and content written by developers for developers.

We recently started supporting our clients at Draft.dev with keyword research which, given our unique position, has generated some exciting opportunities. We work with an array of clients, targeting different kinds of customers, in a hyper-defined niche: software development.

Developer marketing is unique. It moves fast, and new terms are being popularized constantly. These factors, plus our position as a content marketing agency in the space, have allowed us to rank well in Google searches—fast.

In this piece, you’ll get an overview of these opportunities. I’ll offer a tiny bit of free keyword research, but competitors in our space are moving quickly. Much of this information will be outdated in 3-6 months, so it’s critical to reassess your keyword research regularly.

Finding Good Keywords in Developer Marketing

Although the specific long-tail keyword data I use in this article will become outdated soon, the underlying strategy is evergreen. I recently broke this process down into five steps, but it all starts with finding the right keywords.

I use ahrefs to find estimated search volume and ranking difficulty. While these metrics aren’t perfect, they’ll give you a pretty good sense of how easily you can rank for a search term in developer marketing.

The hard part about finding good keywords in developer marketing is finding terms popular enough to have significant search volume, while being new enough to escape saturation.

Let’s look at six topic areas that meet this criteria. Using these terms as a starting point will help you write better technical content aimed at developers, while also helping you rank better in search engines.

1. Kubernetes

Linux containers are not new, but Kubernetes is suddenly dominating the container and DevOps space. You’d think most of the tooling you need would’ve been built already—especially with a big corporate backer like Google. But lots of startups are creating tools for Kubernetes right now.

Given its fast, widespread adoption, it’s no surprise to see an influx of developers learning about Kubernetes. And to learn about anything, you need good content. Ahrefs currently shows five terms containing the word “Kubernetes”, with more than 1,000 monthly searches and a difficulty of 30 or less.

Kubernetes keyword research

But it’s not all about top keywords. There are thousands of long-tail keywords we’ve investigated for various clients in order to come up with worthwhile content topics, such as performance testing, virtualization, and scalability.

The key to writing good Kubernetes content is technical expertise. If you search for related terms, you’ll find lots of cookie-cutter, jargon-filled fluff pieces. This kind of content doesn’t really fly in developer marketing; to compete you’ll need content written by experts—for experts.

2. Python

Python recently became the most searched for language in Google. So as you can imagine, there’s tons of demand for good content to capture developers’ attention.

Python is the most searched for programming language

Useful search terms for companies to reach Python developers include:

  • python square root, 9,400+ monthly searches
  • python random number, 7,300+ monthly searches
  • python read csv, 5,400+ monthly searches
  • python command line arguments, 5,000+ monthly searches

In a real keyword research project, you’d filter terms by your target audience and product use case. But with thousands of keywords having a difficulty score less than 30, you’re sure to find a few good options.

3. GraphQL

I consider GraphQL to be the most exciting thing to happen to APIs…I’d go so far as to say that GraphQL is the new REST. – Nate Murray, Founder at newline

GraphQL is hot right now. This popularity comes in spite of its age, given some very mature projects use it as a query language and API interface. Search volume for GraphQL isn’t as high as other topics on this list. But using it alongside other popular frameworks and programming languages presents a very interesting opportunity.

GraphQL keyword data from ahrefs

GraphQL is a “glue” technology (it’s typically used in conjunction with other developer tools), so the tutorials and content you can write on it are limitless. The only question is whether GraphQL’s popularity will fade away, or eclipse REST as the go-to API query language.

4. Go

Go has been around for over a decade now, with a small yet loyal following. While only used by around 9% of programmers, Stack Overflow ranked Go as the third “most wanted” language. It’s no surprise that our list of Best Go Blogs is one of our most popular Draft.dev blog posts.

Go among the most “wanted” languages

The demand for Go has driven lots of developers to learn it, with many looking for jobs that use the langage. While Python or JavaScript are more popular in production workloads, increased curiosity around Go has led to a lot of search traffic considering its market share. Fundamental search terms like “golang ternary,” “golang for loop,” and “golang substring” indicate a strong market for learning the basics of Go.

There are plenty of opportunities for purchase-intent search terms as well. “Golang ide,” “golang mongodb,” and “golang authentication” might all be worth pursuing for the right companies.

5. TypeScript

I was hesitant to move to a new frontend language, but when my team adopted Angular, I was pleasantly surprised. I’m not alone either; TypeScript is the second most-loved programming language according to Stack Overflow.

TypeScript second most-loved programming language

Similar to Go, TypeScript’s popularity has triggered a surge in search traffic around fundamental search terms. There’s also been significant search volume around the differences between TypeScript and JavaScript, which is more widely used.

TypeScript keyword opportunities

Writing TypeScript content is great because you can take almost any interesting idea in JavaScript and swap out TypeScript to come up with ideas. The differences between the two languages are important from a technical perspective, but they solve most of the same high-level problems.

6. Open Source

It was just five years ago that there was an ample dose of skepticism from investors about the viability of open source as a business model. The common thesis was that Red Hat was a snowflake and that no other open-source company would be significant in the software universe. Fast-forward to today and we’ve witnessed the growing excitement in the space. – Mike Volpi, General Partner at Index Ventures

Open source software continues to interest developers and non-developers alike. As Mike Volpi points out above, open source companies are leaning into this part of their business as a strength, rather than a hurdle.

When you look at the search data around “open source,” you’ll see a list of business ideas that could all prove successful with content marketing:

  • open source search engine, 500+ monthly searches
  • open source video converter, 450+ monthly searches
  • open source 3d printer plans, 250+ monthly searches
  • open source dashboards, 250+ monthly searches
  • open source workflow engines, 250+ monthly searches

If your product has an open source core—or at least a component—it makes sense to use this to your advantage in developer marketing.

The Content Engine Checklist: A List of Implementation Priorities.

Conclusion

Generally speaking, there are lots of good opportunities for search engine optimization in developer marketing. Many companies in the space have historically underinvested in content, but we’re now seeing clients generating hundreds of leads with just a few thousand dollars spent.

If you’re interested in learning more, sign up for a call. I’d love to walk you through our process and help you reach more software developers through search engine optimization.

Frequently Asked Questions

What makes developer marketing SEO different from traditional B2B SEO?

Developer marketing SEO moves faster because new technologies and frameworks emerge constantly, creating fresh keyword opportunities. Terms can go from zero to thousands of monthly searches within months. Additionally, developers value technical accuracy over marketing fluff, requiring content written by experts for experts rather than generic copywriters.

What search volume and difficulty should I target for developer keywords?

Target keywords with 100+ monthly searches and difficulty scores under 20 using tools like Ahrefs. This sweet spot captures meaningful traffic while avoiding oversaturated terms. However, consider your specific product and audience as some high-intent keywords with lower volume may convert better than high-volume generic terms.

How often should I update my developer marketing keyword research?

Reassess your keyword research every 3-6 months minimum. Developer technologies evolve rapidly, with new frameworks, tools, and best practices constantly emerging. What's a low-competition opportunity today may become saturated in months as competitors catch on to trending technologies.

Can I write developer content without technical expertise?

No, generic content doesn't work in developer marketing. Search results are full of cookie-cutter, jargon-filled fluff that developers immediately recognize and ignore. You need content written by developers who understand the technology deeply and can provide practical, accurate tutorials and insights.

Which programming languages offer the best SEO opportunities in 2025?

Python remains the most-searched programming language overall. Go and TypeScript are the most-wanted languages with growing search volume but less competition. Kotlin for mobile, Rust for systems programming, and frameworks like Next.js and React also present strong opportunities depending on your target audience.

Should I target fundamental keywords like 'python for loop' or advanced topics?

Both have value depending on your goals. Fundamental keywords like 'golang ternary' or 'python read csv' capture developers learning the language with high search volume. Advanced topics and purchase-intent keywords like 'golang mongodb' or 'kubernetes performance testing' may have lower volume but attract developers closer to making tool decisions.

About the Author

Karl Hughes

Karl is a former startup CTO and the founder of Draft.dev. He writes about technical blogging and content management.

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