If I want traffic before a topic turns into a packed freeway, I start with Exploding Topics. It helps me spot low competition keywords while interest is still young. Then I pressure-test those ideas with Google Trends, Google Search, and a keyword tool before I write a single page.
That second step is where most people slip. A trend can look exciting and still go nowhere. I keep only the topics that show steady growth, clear intent, weak search results, and enough depth to support more than one article.
Why Exploding Topics helps me spot trends before SERPs fill up
I treat Exploding Topics like a radar screen, not a final scorecard. As of March 2026, it still shines at finding rising topics early, before the big keyword databases fully catch up. That matters because broad tools often confirm demand after the crowd has already moved in.
When I browse the platform, I’m not chasing fireworks. I want a trend line that rises, settles, and rises again. That pattern usually hints at real use, not just social buzz. The platform’s trend views, related topics, and keyword tools help me move from a big signal to smaller, more usable angles. If I need a quick refresher on the basics, Exploding Topics’ keyword guide is a useful primer. I also like these examples of trends found early, because they show how much timing shapes results.
I don’t look for the biggest term first. I look for the earliest useful angle around it.
I use a quick filter before I save any topic:
| Signal | What I want to see | Red flag |
|---|---|---|
| Growth | Steady climb over months | One sharp spike |
| Intent | Clear problem or use case | Vague curiosity |
| Search results | Forums, thin posts, weak pages | Brand-heavy results |
| Expansion | Several related angles | Only one shallow page |
If a topic clears three or four of those checks, it earns a closer look.
My step-by-step process for finding low competition keywords
Once a trend catches my eye, I run the same process every time. It keeps me from falling in love with a flashy chart.
- Start with a money-adjacent category: I stay close to products, problems, or workflows tied to my site. For tech and B2B content, that often means AI tools, data platforms, security, or automation.
- Shorten the timeframe: I compare a recent view, such as three months, with a wider view. If the topic is fresh but still building, I pay attention. If it looks chaotic, I slow down.
- Sort for newer discoveries: I want topics that are still early. Fresh discovery dates and related trends often reveal the smaller phrases that hide under a broader term.
- Open the related ideas: This is where the gold usually sits. A head term may already be crowded, while a use case, comparison, setup term, or buyer question is still open.
- Save only cluster-ready topics: If I can already see five to ten supporting pages, I keep it. If I can only write one thin article, I move on.
Here’s how that looks in practice. If Exploding Topics surfaces a broad term like “vector database,” I usually skip the head phrase. It’s too visible now. Instead, I look for side doors, such as “vector database for RAG,” “vector database pricing,” or “vector search latency.” The same rule applies to AI and automation topics. “Prompt engineering” is wide and busy. “Prompt engineering for support teams” or “AI call notes for sales” may still have lighter competition and stronger intent.
I also use the platform’s free keyword ideas and rough difficulty signals as a first screen. For larger teams, the API can feed alerts into a dashboard or Slack. Still, the shortlist rules stay the same.
How I validate demand and turn one trend into a cluster
A rising topic isn’t a keyword plan until I test it outside the platform. First, I check Google Trends. I want to see that the interest curve isn’t just one short burst. Then I search the phrase in Google and study page one. If I see forum threads, thin glossary pages, weak list posts, or pages that only half-match the query, I mark it as possible.
After that, I open a keyword platform like Ahrefs, Semrush, Keysearch, or LowFruits. I’m not chasing perfect numbers. I just want a rough read on volume, variants, and how the term connects to nearby phrases. If I want another angle on the process, I’ll skim this 2026 low-competition keyword guide and compare notes.
What a good early-stage keyword looks like
A good early-stage keyword has three traits. It solves a real problem, shows a growing pattern, and has room for follow-up pages. That last part matters more than people think.
Low competition and low volume often travel together. That’s the tradeoff. A tiny keyword can rank fast and still bring almost no business. I’m fine with small volume when the intent is strong or the topic can branch into a cluster. For example, one early phrase around RAG, AI notes, or workflow automation may only bring modest traffic alone. Yet it can lead to comparisons, setup guides, use cases, pricing pages, and troubleshooting posts.
Low competition pays best when one rising topic can support several useful pages.
When I build the cluster, I start with one main page, then map supporting posts around use cases, comparisons, costs, mistakes, and integrations. That structure lets me publish faster, link pages together, and build topical depth before the space gets crowded.
In short, finding low competition keywords on Exploding Topics is about timing plus discipline. I start with fresh signals, filter hard, validate outside the platform, and only keep topics with room to grow. In 2026, early still beats loud.
