To find trending topics in your niche, collect signals from the places where interest shows up first (Google Trends, niche communities, search suggestions and your own audience data), then use an AI assistant to group those signals and judge which ones are growing. AI is good at sorting and summarising, but it is not a reliable source of trend data on its own, so check its ideas against real numbers.
Below: where to look, an example prompt, and how to test a trend before you spend a week on it.
Without web access, a language model only knows what was in its training data, so it can only guess what is new. Assistants with web search, such as ChatGPT with search on or Perplexity, read current pages, but they mostly repeat what large sites already wrote. By then a topic is rarely early.
Give AI the job it is good at instead: reading raw signals you collected, spotting patterns and turning them into concrete ideas.
You don't need every source. Pick two outside sources and one source of your own data, and check them on a fixed day each week.
Here is an example prompt you can adapt:
Here is my niche and audience: [paragraph]. Below are this week's signals: rising searches, forum questions and my best-performing items. Group them into three to six themes. For each theme, list the signals that support it, say whether it looks like a lasting shift or a short spike, and suggest two content ideas my audience would not find in a generic article. Do not add topics that the signals don't support.
The last sentence matters. Without it, the model fills gaps with generic ideas unrelated to your data.
A topic is worth producing when three things are true. Interest is growing over months, not only this week. You have something to add, such as experience, access or a format others don't offer. And it connects to what your audience already cares about, so it brings in the right people rather than one-off visitors.
If it fails the second test, skip it. The hundredth summary of the same news rarely pays off.
Finding the topic is half the job; the other half is reaching people quickly, which is easier when you own the channel. Audiorista doesn't find trends for you. It gives you a branded app where you publish audio, video and articles to your own subscribers.
In practice, you tag new pieces with the theme, and a dynamic collection gathers everything with that tag in one place in the app. On the Business plan and up, push notifications let you tell subscribers when something timely is out. Afterwards, Audiorista's analytics show what users played and finished, the most honest test of whether a trend mattered, and a signal for next week. If you publish news or analysis, see how online magazines use their own apps. Podcasters can start with apps for podcast networks, and our guide to exclusive content for app subscribers helps decide what to keep for paying members.
Check Google Trends for rising queries around your core terms, read the questions people ask in your niche's communities, and look at what your own audience engages with. Then use an AI assistant to group these signals into themes, and confirm growth over 12 months.
Collect raw signals yourself and paste them into ChatGPT, Claude or Gemini, asking it to group them and suggest ideas based only on that data. Check any web-search suggestions in Google Trends.
Treat AI as your niche and use the same method: compare terms in Google Trends, follow AI communities on Reddit and watch Exploding Topics. Look for growth over months, because AI news produces many short spikes.
Google Trends, Exploding Topics, Google Search Console and keyword tools such as Ahrefs or Semrush show search growth. Reddit, YouTube and TikTok show what people are asking and watching.
Ready to publish what you find straight to your own subscribers? Build a branded content app with Audiorista.
