To better understand this,

[fomayof928@mowline]

We know how important content is in the traditional user journey, but how will it be different in the world of voice? It is certain that many of the rules we have come to know well from the “typed internet” will be rewritten.

Applying some level of logic to the challenge, it is clear that there is a large range of value in searches that are immediately apparent at some level, namely those who search for the location or time and/or date of something via Home Assistant or mobile.

While with typed search we see more value in czech republic number data phrases that we call “head terms,” the world is much more complex in voice. Below we see a breakdown of the words that will trigger a voice search.



A let's examine a possible search "conversation".

If we take the example of a product search, let's say, buying a new lawn mower, the conversation might go something like this:


What is the best rotary lawn mower for under £500 ?
[Voice Assistant] There are six choices according to Lawn Mower Hut [Reads choices]

At first, the voice will struggle to understand how to move on to the next logical question, such as:

[Voice Assistant] Would you like a rotary or a cylinder lawn mower?

In this scenario, our voice assistant connects the dots and asks the next relevant question to help narrow down the search in a natural way.