• Search Engine Optimisation

6 Best Topic Research Tools

The best topic research tools should be easy to use and offer suggestions or insights within a few clicks.

Lazhar Ichir

Topical SEO  is what drives the growth of a website’s  topical authority . Keywords are still alive but topics are what search engines use to index and rank web pages, for the most part, today. In order to improve your  content depth , your focus topics must be carefully chosen and written about. This is where  topic research tools  come in handy.

Nowadays,  keyword research tools  are very easily available and with some tweaking, most can be used for topic research, too. Yet, they may be a little too literal and intentionally too close to the initial seed phrase. Topics are broader concepts with a  keyword universe  sitting right under. Remember that topics are abstract subject matters expressed using keywords — therefore, topics and keywords work together, not against each other!

The  best topic research tools  should be easy to use in a few clicks. Generally, you type in your core topic and expect key phrases, questions, and other related topics in return. Some keyword research tools are real-time and fast, while others take a tad more time but provide more accurate results.

1. Keyword Planner

Google is by far the best search engine ever, but it is also an advertising machine. The giant has gathered so much insight from search queries and the trillions of web pages indexed that they have its own tool for topic research. Using  Keyword Planner  is very easy since their recent 2018 update.

Type in one or a group of topic ideas into the search box, and  instantly receive a list of related sub-topics and key phrases to write about  (or advertise against). And, this tool is virtually free — you just need to have topped up your Google Ads account, even for a dollar!

The only con with this tool is that the suggestions will often be very close variations of the seed topic. So it remains very narrow. See the screenshot below, I entered  Caffeine  and most suggestions contain the word  caffeine  in them. Although this was to be expected, we do not want to stuff our content with a single core word. There are still some welcomed variations such as  Coffee  or inflections like  caffeinated . Remember that using a wide range of terms helps with boosting your topic coverage.

2. WikiBrowser

Our free topical research tool! WikiBrowser allows you to  visualize Wikipedia pages in a truly refreshing manner . We remove all textual content to focus on related Wikipedia pages. Indeed, a given topic is defined by the keywords used to express it, but even more so by the topics it is a neighbor of.

Little aside here: topic neighbors are how modern algorithms like classifiers find topics. They put all concepts in a three-dimensional matrix (vector space) and see which ones are close to each other.  German Shepherd  and  Dog  would obviously be closer than  Dog  and  Computer .

This tool makes total sense. Type the page name, hit enter, and visualize what truly matters when you are doing your topic research:

  • a topic’s thesaurus-like outline
  • a list of ranked concepts
  • keywords pertaining to the topic

Overview of our popular WikiBrowser, one of the best free topic research tools out there!

For instance, if you want to be authoritative on the topic of  German Shepherds , you must also discuss the  Herding Group  it belongs to,  Search-and-Rescue  tasks and training, as well as  Police dogs  and many other related subjects.

3. Also Asked

AlsoAsked  is a  free keyword research tool  with an inexpensive generous pro plan that scours the web searching for questions related to a given seed keyword. It is a great way to come up with dozens of topically-relevant questions and select a few to add to existing or future blog posts. Additionally, such questions are great new content ideas as some may be so broad that they can become new pieces of content in their own right.

People tend to use real questions in order to find answers, as opposed to simple keywords. For instance, a person could use queries such as “What are the differences between arabic and robusta coffee beans?“. Google tends to show  featured snippets with a short answer  to whatever question was asked by the user.

When you write a blog post or a  content brief , you want to find the most relevant questions you could include in the article to featured in these above-the-fold answer boxes. They are a huge driver of traffic (they appear above the #1 result), and shouldn’t be ignored.

4. Answer The Public

When you know the key phrases you want to cover,  Answer The Public  gives you search engines’  autosuggest data in a stunningly visual way . So once you submit your topic, it automatically calls Google servers (it takes a few seconds), and then displays common questions, and other search queries associated with your seed topic. Some topics really yield no results like  topical authority  (how sad, ha!) but others will get you hundreds of hits.

Check it out, it is a cool way to find some common questions to answer within the body of your blog post, or even pick some questions and answer them with a full article each. There is no search volume data on  Answer The Public , but you can export the data as or spreadsheet, to then copy and paste it on Google Ads Keyword Planner to get the historical search volume for each suggestion.

The data is sorted by question tag (what, how, which, who, when, where, etc) but there are also suggestions that are preposition-based. This is an overall helpful tool for common topics. You could complete the data yourself by typing your phrase on Google and look at the recommended searches, the “People also ask” box, and so on. All the contextual data from your search helps you understand what people want to know, so you can better cover it in your blog post.

answer the public keyword research tool

5. sense2vec

Topical SEO is so new because algorithms required to detect topics within textual content have only been perfected recently. Before, such algorithms were somewhat inaccurate and tremendously hungry in terms of computing power. Sense2vec is one of those algorithms and a tool has been provided by the machine learning company  explosion.ai .

Sense2vec is both a  natural language processing method of discovering topics , but also a topic research tool if you want to  use their demo . It’s totally free and although not designed or built for SEO purposes, it does the job!

In their own words, the sense2vec demo “read every comment posted to Reddit in 2015 and built a semantic map”. What does that mean exactly? Well, without getting into too many details, the algorithm read all Reddit comments and extracted the main keywords ( noun phrases  mainly). But each time, the algorithm looked at the closest neighbors and took such factor into consideration when building the knowledge graph.

So when you type in a topic name or keyword, the application finds the associated entity in the model and  returns all the co-occurring neighbors that were found in these millions of Reddit comments . Because it is based on a huge amount of data, noise and irrelevant neighbors simply disappear. You may get an odd result here and there but overall, it’s great!

To wrap up this article, I just want to recommend every content marketer to adopt a wholesome topical SEO strategy. What I mean by that is simple. Take a step back from your article-centric approach. Do a lot of research independently of any singular blog post. Find focus topics you want authority over, create pillar pages, make long-form evergreen articles, shorter articles, and so on.

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