Finding Keyword Opportunities Without Historical Data

In a Google search at the event in October last year, Prabhakar Raghavan explained that 15% of daily questions were the ones that had never been sought before.

If we take the latest numbers of live internet statistics, which declare 3.5 billion queries are sought every day, it means that 525 million of that question is new.

It is a large number of opportunities that are waiting to be identified and working in strategies, optimization, and content plans. The problem is, all the usual keyword research tools are, best, a month behind with data they can provide.

Even then, the volume they report needs to be taken with salt – you tell me that there are only 140 searches per month for “women’s discount designer clothes”? – And if you work in the B2B industry, their search is generally a much smaller volume to start.

So, we know there are many searches available, with more added every day, but without data to see volume, how do we know what we should do as a strategy?

And how do we find this opportunity in the first place?

Finding the opportunities

The usual tool we switch to will not be widely used for keywords and unwanted topics in the previous volume.

So, we need to get a little creative – well where we see, and how we identify potential queries to start prioritizing and working in strategies. This means doing things like:

1. Mining people also asked
2. Scratch autosuggest.
3. Drilling into related keyword themes

Mining People Also Ask

People also ask are the right places to start looking for new keywords, and tend to be more up-to-date than various tools that you usually use for research.

Traps owned by most marketers are looking at this small scale data, realizing that (the term tail is longer) they don’t have a lot of volumes, and smoke them from the approach.

But when you follow a larger-scale process, you can get more information about the themes and topics that users want and can start planning this from time to time to see topics that appear faster than standard tools.

To mine PAA features, you need:

1. Start with a list of keyword seeds.
2. Use SERPAPI to run your keywords through a fire call – you can see their demo interface below and try it yourself:
3. Export “related question” feature is returned in a fire call and map it to the overall topic using a spreadsheet:
4. Export “Related search boxes” and map this to the whole topic too:
5. Look for a theme that is consistent in the topic returned crossing questions and related searches.
6. Add this overall theme to your preferred research tool to identify additional related opportunities. For example, we can see coffee health + is a consistent topic area, so you can add it as the overall theme to explore further through the advanced search parameters and modifiers.
7. Add this as a seed term for your preferred research tool to withdraw related qualifiers, such as using a broad match (+ coffee health) and phrases (“coffee health”) modifiers to restore more relevant query:

Scraping autosuggest

This one does not need fire, but you have to be careful with how often you use it, so you don’t start triggering the feared captcha.

Similar to people who also ask, you can erode the autosuggest query from Google to quickly identify searches related to people who enter.

This tends to work better on a small scale, just because the manual process is behind it. You can try setting crawling with various parameters inserted and special extraction, but Google will be fast enough to take what you do.

To erode Autosuggest, you use a very simple URL query string:

https://suggestqereries.google.com/complete/search?utput=toolbar&hl=&gl=uk&q=.

Okay, it’s not that simple, but basically, a search request that issues all recommended requests for your seed request.

So, if you want to enter a “cybersecurity” after “Q =”, you will get:

This gives you the most common recommended questions for your seed term. It’s not just a goldmine to identify additional queries but can show some newer questions that have started trends, as well as information related to questions that will not provide data.

For example, if you want to know what people are looking for related to Covid-19, you cannot get data in keyword planners or most tools that utilize the platform, because of the restrictions on the surrounding advertising.

This can give you a starting point for new questions to close without relying on historical volume.

And it doesn’t just give you suggestions for a broad topic – you can add whatever request you want and see what suggestions are returned.

If you want to take this to another level, you can change the location settings in the query string, so instead of “gl = UK” you can add “= us” and see the recommended questions from the US.

This then opens another opportunity to look for differences in search behavior in various locations and begins to identify differences in the type of content that you must focus on in various regions – especially if you work on international websites or target international audiences.

Refining topic research

Even though the usual tool will not give you a lot of information about new requests, it can become a gold mine to identify additional opportunities around a topic.

So, if you have mine PAA features, scratch autosuggest, and group all your new opportunities into the topic and theme, you can enter the “topic” identified as seed requirements for most keyword tools.

Google Trends

Data trends are one of the latest sets that you can see for specific topics and questions. However, it should be noted that for some topics, it does not have any data, so you might have problems with more niche areas.

Using “Travel Tires” for example, we can see search trends and related topics and specifically related queries

Now, for new opportunities, you will not find a large amount of data, but if you have grouped your chances into a thorough topic and theme, you will be able to find several additional opportunities from the “related topics” and “related queries” sections.

In the example above we see these parts including certain locations and mention special Coronavirus – something that will not be provided by keyword planners because you cannot offer it.

Drilling into various topics and related queries here will give you a little more insight into additional areas to explore that you might not be able to identify (or validate) through other Google platforms.

Moz Keyword Explorer

The MOZ interface is a good starting point for validating keyword opportunities and identifying what currently appears in SERP for these provisions. For example, the search for “London Theater” restores the following damage

From here, you can browse keyword suggestions and start grouping them into the theme too and can review the current SERP and see what type of content appears.

This is very useful when it comes to understanding the intent behind the requirements to ensure you see opportunities from the right angle – if more ticket sellers show rather than news and guidelines, then you want to be focused on this opportunity on more commercial pages rather than information content.

Conclusion

In this blog you learn about the Finding Keyword Opportunities Without Historical Data.

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