How to Target Multiple Keywords with One Page

 Next Level: How to Target Multiple Keywords with One Page

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Those who have attended any of the Dreamsiteco Training Bootcamps will be familiar with our approach to keyword research, which is focused on identifying themes rather than specific phrases. In SEO, this is referred to as "niche keywords." A "niche" to me is a group of similar words or concepts that are essentially versions of the same inquiry.

Let's say my broad topic is: Why are cats jerks?

Some subtopics within this subject include:

• Why is my cat constantly knocking stuff off the counter?
• What causes my cat to ruin my furniture?
• Why did I agree to purchase this cat?

I may then use Keyword Explorer or similar tool to uncover variants of these niche themes that have the best features (Difficulty, Search Volume, Opportunity, and so on).

This method of organizing keyword research theoretically aligns with the search logic of Google's Hummingbird algorithm update.

Once we've identified specialty themes for our subject, we'll look at individual keyword versions to see where we may rank. This approach is thoroughly discussed in the Keyword Research Bootcamp program.

Should I optimize my page for more than one keyword?

For the most part, the answer is a loud yes.

If you design a strategy of optimizing your pages for only one keyword, you may encounter a few challenges. For example, if a content writer is limited to one keyword for a page, they may create relatively thin text that doesn't go into any relevant detail about the bigger subject. As a result, the marketing manager may end up spreading useful material across numerous pages, reducing each page's potential authority. Your site architecture may then become larger than necessary, making the search engine less likely to recognize and convey your distinctive value in a SERP.

According to current research, a single high-ranking website can appear in dozens, if not hundreds, of SERPs. Identifying relevant search keywords relating to a specific topic and then using those questions as your H2 headings is a solid approach.

So, how do you come up with niche keyword topics? This is the method I employ, which makes use of a relatively new SERP feature: the "People also ask" boxes.

How to Locate Niche Keywords

Step 1: In your search engine, type in a relevant question.

Question-format search queries are useful since they frequently provide featured snippets. Featured snippets are the small boxes that appear at the top of search results and often display one- to two-sentence replies or a list. When prominent snippets are published recently, there is frequently another box nearby displaying "People also ask" This second box gives you access to the search algorithm's logic. It displays what the search engine "thinks" are relevant subjects.

Step 2: Choose the most pertinent "People also ask" query.

Consider the initial "People also ask" suggestions. They are frequently various forms of your query with somewhat different search intent. Choose the one that best matches your target user's search intent. So, what happens? At the bottom of the list, a new set of three "People also ask" ideas related to the initial option you selected will appear. This is why I call them choose-your-own-adventure boxes. With each decision, you go further into the search engine's designated topic.

Step 3: Look for proposals that include low-value featured snippets.

Every proposal in the "People also ask" section is a featured snippet. Keep an eye out for featured bits that aren't really useful when you delve deeper into the topic by selecting one "People also ask" after another. This is the search engine attempting to generate a straightforward answer to a question but failing miserably. These are opportunities. Keep a record of the ones you believe could be improved. The Featured Snippet in the following example is generated by an article that does not fully address the question for the ordinary user.

Step 4: Create a list of "People also ask" questions.

Make a list of all the questions you find highly connected to your intended topic after delving deeply into the algorithm's contextually related results using the "People also ask" box. As I find them, I usually just dump them into an Excel document.

Step 5: Using a keyword research tool, analyze your word list.

Plug the words into Keyword Explorer or your favourite keyword research tool once you've compiled a decent list of keywords that you know are generating highlighted snippets. Simply apply your standard keyword evaluation criteria (typically a combination of search volume and competitiveness).

Step 6: Include the keywords in the page title and heading tags.

Once you've limited the list down to a set of keywords to target on the page, put your content team to work creating relevant, helpful responses to the queries. Use your target keywords as heading tags (H2, H3), and immediately follow those with a succinct, relevant description.

In your campaign, track the performance of niche keywords.

While your content writers are working on the content, you can update your Moz Pro campaign and start tracking your rank position for the keywords you've included in the heading tags. Add the keywords to your campaign and give them appropriate labels. I suggest putting a label related to the niche issue.

Assume I own a company that assists individuals in locating lost pets. One popular specialized issue involves persons looking for kennel phone numbers. There will be many of variations within that issue area. Assume I publish a helpful article on rapidly finding the phone numbers of neighboring animal shelters and kennels.

In this scenario, I'd name all of the keywords I'm targeting in that post with something like "kennel phone numbers" in my Moz Pro campaign rankings tool.

After that, I can report on the average search visibility of all the search phrases I employed by simply selecting the label "kennel phone numbers." If the post is successful, I should observe an increase in average rank positions, indicating that I am ranking for several keywords.