Answer The Public is a great search query data visualisation tool that fetches and maps keyword suggestions and predictions that you see when you search something on Google.

All you have to do is enter a keyword into the search bar on Answer The Public and you will be presented with countless questions, prepositions and alphabetical lists that are related to your specific query. It forms part of the semantic search we are seeing more and more of as machine learning starts taking precedence online.

You could see it as a means of quickly generating search engine information graphics. The provided images can be downloaded on the site and then used in reporting or presentations. The website also allows you to export the data provided to a .CSV file in a spreadsheet.

Let us take a look at the data it generates.


The first set of data you will presented with is question based keywords.  There are eight question modifiers that are prefixed to the beginning of the key phrase (your search query), followed by the Google search suggestion keywords.

The question modifiers are as follows:

  • Where_?
  • Which_?
  • Who_?
  • What_?
  • When_?
  • Why_?
  • How_?
  • Are _?

If your keyword was “dresses, you would be given questions like:

  • Where to buy dresses for a wedding guest
  • Which dresses suit me
  • Who dresses family feud contestants
  • What dresses to wear to homecoming
  • When did dresses start
  • Why did dresses have bustles
  • How to draw dresses step by step
  • Are dresses formal wear

This data can be very valuable for learning what people are looking for. It can also be used to write question based blog posts. This is where you title your blog post with a question that people are asking and you use the body of your text to answer their question. For instance:

Title: What dresses to wear to homecoming?

Body: (Simply write a quality post on the different types of dresses one can wear to homecoming).

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The next set of data you will be presented with is preposition based keywords. It works similar to the previous set of data, so by now you ought to get how it works.

The prepositions are:

  • For
  • Like
  • Without
  • With
  • Versus
  • To
  • Near

Here the results for the keyword dresses were as follows:

  • Dresses for formal
  • Dresses like modcloth
  • Dresses without borders
  • Dresses with flannels
  • Short bridesmaid dresses versus long
  • Dresses to go out
  • Baptism dresses near me

Once again you can probably see how this tool can be beneficial to a business and especially for blogging purposes.

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Lastly you will receive alphabetical keywords. There are 26 lists of alphabetically ordered results that are all related to your keyword or keyphrase. While these can be very useful, some of them are a little difficult to understand outside of a meaningful context. However, if you are faced with this problem, you can simply look them up online and then you will be able to see what some of the more confusing phrases actually mean.

So, what can you do with Answer The Public?

Well as I previously mentioned, if you are looking for ideas for blog topics, this tool gives you the cues you need to start thinking about specific subjects. Answer The Public also helps you understand the questions that people are asking. So basically it is an incredibly easy way of doing market research.

Once you have generated the lists of topics, you can start working your way through them by doing some keyword research and finding out how popular each phrase is.

Of course, some of these phrases will be completely irrelevant to whatever you are looking for. And there is a lot of manual sifting through required in order to assemble a shortlist that is actually relevant to your products and services.

But there is no doubt about it that the data provided by Answer The Public can give you inspiration. If you can answer FAQs or address the concerns your audience has about things related to your products or services, you are not only guaranteed that the content is relevant and useful, but you can win potential customers.