How to Find Trending Topics Worth Producing?

When I look for trending topics, I am not looking for a generic list of what is popular. I want evidence of existing viewer demand before I invest time, money, and production into content that may attract too few potential customers.

First, I choose the category.

This is the first filter: if my business publishes technology content, I need Science & Technology data, not a mixed list of gaming, sports, celebrity news, and unrelated viral topics. A Trending Topic is useful only when it belongs to a category relevant to the audience my business wants to attract.

Something may be attracting millions of viewers, but if it does not fit my niche, audience, or product, it is not a useful production opportunity. It is noise.

Then I choose the time range.

It tells me how fresh the viewer-demand signal is, because timing affects whether a topic is still worth investing production into.

Then I sort by Traffic, the customer-acquisition filter.

Views show how much attention a topic is attracting. Uploads show how much content is being produced around it. Traffic turns that attention into an estimate of potential customers, making it easier to compare topics from a business perspective.

The real pain is not simply getting low views. It is spending time and money producing content around a topic with weak demand and ending up with too few potential customers. Sorting by Traffic does not make the production decision for me, but it shows me which opportunities are worth investigating first.

After sorting by Traffic, I open one of the strongest topics. A broad topic can still create an expensive mistake: it may show strong overall demand without telling me which specific direction is worth producing.

For example, I can see that artificial intelligence is strong in Science & Technology, but that alone is not enough. “Artificial intelligence” is too broad. If I stop there, I know that viewer demand exists, but I do not yet know where the strongest opportunity sits: tools, hardware, software, phones, engineering, agents, or something else.

This is where a promising topic can still turn into a poor production decision. Research gets longer, the script gets heavier, the angle keeps changing, and the finished content may still target the wrong part of the demand.

When I open Sub-Topics, the production decision becomes more specific. The broad topic turns into concrete demand signals, showing which directions inside the topic are already attracting viewers and where the strongest estimated lead potential sits.

In this case, artificial intelligence is the main Trending Topic in Science & Technology, but the real production opportunities appear in the leading sub-topics: