DEV Community: Mark Clarke

Using Google Trends for Smarter Keyword Research in Your Projects

Mark Clarke — Sat, 21 Feb 2026 19:00:04 +0000

As developers, we often focus on writing code and building applications, but understanding the landscape of SEO (Search Engine Optimization) can make a huge difference in how our projects perform online. Knowing what keywords are trending can help you make informed decisions about content, features, and even entire applications. That's where Google Trends comes into play, specifically using tools like kwrds.ai.

Why Use Google Trends?

The Google Trends keyword research tool allows you to track the popularity of specific search queries over time. This means you can identify rising topics or seasonal patterns that might influence your project. It’s not just about picking random keywords; it’s about leveraging data to get ahead of what your audience is searching for.

Key Features That Matter

Trending Keywords and Questions: You can find out what users are actively searching for and even get specific questions they’re asking. This is a goldmine for content creation or troubleshooting features in your app.
Search Filters: You can filter keywords by country, allowing you to tailor your projects for specific markets. This is useful if you're working on international apps or websites.
Autocomplete Insights: Google Trends provides autocomplete suggestions that give insight into what people are looking for. This isn’t just for Google; it can be applied across various platforms like YouTube, TikTok, and Reddit.

Getting Started with kwrds.ai

To start using kwrds.ai’s Google Trends tool, follow these steps:

1. Go to [kwrds.ai](https://www.kwrds.ai/google-trends).
2. Choose your search type: Keywords, Questions, or Rankings.
3. Select your target country.
4. Review the list of trending keywords.

Use these insights to inform your next steps—whether you're crafting blog posts, optimizing existing content, or building new features.

Practical Applications

Content Planning: If you're a developer building a blog or a content-heavy site, integrate trending keywords into your articles to drive more traffic.
Feature Development: Are there rising questions on Google Trends related to your app’s niche? Consider adding features that address these queries.
SEO Optimization: Use the keywords and trends to optimize meta tags, headings, and other SEO-critical areas.

Final Thoughts

What I find particularly useful about tools like kwrds.ai is the competitive edge they provide. Identifying emerging trends before your competitors can place your project in a favorable position. Whether you're developing a web app or a mobile solution, having insights into keyword popularity is invaluable.

If you want to deepen your keyword research experience, check out the detailed guide at kwrds.ai.

By investing a little time into trends analysis, you’re not just coding—you’re coding with a purpose that aligns with user needs.

Happy coding!

Boost Your Instagram Strategy with kwrds.ai: A Developer's Guide to Keyword Research

Mark Clarke — Fri, 20 Feb 2026 15:38:54 +0000

When it comes to Instagram growth, nailing your keyword strategy is key. As developers, we often focus on building and optimizing applications, but understanding how to effectively leverage platforms like Instagram can give our projects that extra edge. That's where kwrds.ai comes into play—a powerful keyword research tool that can analyze what users are searching for on Instagram. Let’s unpack how to utilize this tool effectively and enhance your content marketing strategies.

Why Keywords Matter on Instagram

Instagram isn't just about pretty pictures. It's a search engine in its own right. Users search for content, products, and services using keywords and hashtags. By optimizing your content based on what users are searching for, you can increase your visibility and engagement.

Getting Started with kwrds.ai

Head over to kwrds.ai to start your keyword research. The interface is user-friendly, making it easy for developers (or anyone, really) to find relevant keywords and content ideas.

Keyword Search: Use kwrds.ai's search bar for keywords. Typing in relevant terms will show suggestions based on what’s trending. For instance, if you input “web development”, you’ll see related keywords and questions that users frequently search for.
Autocomplete Feature: One of the stand-out features is the Instagram search autocomplete. It pulls from real user queries, giving you a snapshot of what people are actively searching for. This can help you tailor your Instagram content to meet those needs.
Country-Specific Searches: If you're targeting a specific demographic, kwrds.ai allows you to filter keyword searches by country. This is essential for developers working on marketing strategies with a localized approach.

Practical Application for Developers

As developers, we work with various platforms and tech stacks. Here’s how you can integrate Instagram keyword research into your projects:

Content Strategy: Use the keywords found on kwrds.ai to inform your content strategy. This could mean adjusting your app's social media posts or creating tutorials that align with what users are searching for.

// Example of generating hashtags based on keyword research
const keywords = ['webdev', 'coding', 'technology'];
const hashtags = keywords.map(keyword => `#${keyword}`);
console.log(hashtags); // Output: ['#webdev', '#coding', '#technology']

SEO Enhancement: If you're pulling content from Instagram into a web application, optimize your backend queries to use these keywords. This way, you can surface content that's relevant to users, enhancing the overall user experience.
Analytics Integration: Consider integrating kwrds.ai data with your app analytics. Monitor which keywords drive the most engagement, and tweak your approach accordingly.

Conclusion

Incorporating proper keyword research using tools like kwrds.ai can make a significant difference in how effectively you reach your audience on Instagram. It helps in formulating a more data-driven marketing strategy and understanding user behavior. So, if you're looking to ramp up your Instagram game, give kwrds.ai a shot—your future self (and your users) will thank you!

Remember, keywords are just the start. You’ve gotta put in the effort to create quality content that resonates. Happy developing!

Feel free to share your thoughts or any additional tips you’ve found useful!

Why Developers Can’t Ignore Multi-Platform Keyword Research

Mark Clarke — Mon, 16 Feb 2026 01:24:17 +0000

As developers, we’re often knee-deep in code, but the digital landscape is evolving, and so should our approach to SEO. You might think Google is the ultimate source for keyword research, but recent insights show that a whopping 73% of keywords used in AI searches don’t show up in Google’s keyword tools. That’s a game changer if you’re optimizing your content or products.

What Does This Mean for Developers?

If you’re focusing solely on Google for keyword research, you’re missing out on a significant amount of data. Platforms like Perplexity and ChatGPT have their own jargon and user intents that simply aren’t captured by traditional SEO tools. This means you might be overlooking valuable search opportunities that your competitors might exploit.

Key Takeaways from the Research

The team at kwrds.ai analyzed 356,619 keywords across 17 platforms and here’s what they found:

73% of AI Search Keywords Are Exclusive: That’s right, nearly three-quarters of the keywords on platforms like Perplexity or ChatGPT are invisible to those relying on Google.
Different Platforms, Different Intent: Each platform attracts various user intents—whether it’s informational, commercial, navigational, or transactional. For instance, if a user searches “learn Python,” the results on Google emphasize tutorials, while Perplexity focuses on research.

Example: The Keyword “Learn Python”

You might be familiar with the keyword “learn Python,” but did you know it yields vastly different results depending on the platform?

Google
- Keywords: Tutorial and resource-focused
- Examples: "learn python free", "learn python for beginners", "learn python machine learning"
Perplexity
- Keywords: Research and comparison-focused
- Examples: "learn python programming", "best resources to learn python"

This stark contrast underscores the need for developers to broaden their keyword research horizon.

Practical Applications

Diversify Your Keyword Research Tools:
- Don't just use Google Keyword Planner. Leverage tools that pull data from multiple platforms. Tools like kwrds.ai can help you uncover those elusive keywords that could drive traffic to your site.
Understand User Intent:
- Tailor your content based on the intent behind the search terms. If you're creating a product comparison or a tutorial, ensure you're aligning with what users on specific platforms are actually looking for.
Monitor Your Competitors:
- Keep an eye on what keywords your competitors are ranking for across different platforms. If they’re targeting exclusive keywords, it could inform your own strategy to capture untapped traffic.

Conclusion?

Ignoring multi-platform keyword research is like coding without testing—it just doesn't make sense. As developers, adopting a broader strategy helps us stay competitive and relevant. Start integrating insights from AI search platforms into your workflow and watch your content strategy transform.

If you’re keen on digging deeper into this topic, check out the complete analysis from kwrds.ai. It’s packed with insights that can revolutionize how you think about SEO in the context of evolving AI technologies.

Original file link

Happy coding! 🚀

Feel free to share your thoughts below or any experiences you've had with multi-platform keyword research. Let’s learn together!