How To Find LSI Keywords

LSI keywords otherwise called as Latent Semantic Indexing keywords that are semantically related to your primary seed keyword.

Google has updated its algorithm and has focused on the Semantic Search to evaluate search queries and user intent to provide better search outcomes for the users.

Before the Hummingbird Update, Search engines were using Keyword Density to determine the content and rank the pages accordingly with some additional factors.

Hence, people have started stuffing their articles with keywords so as to rank steadily for the seed keyword.

Google has penalized and removed a lot of spammy low-quality content from all the websites who has stuffed their articles with keywords.

Latent semantic indexing keywords are simply related keywords (often synonyms) to the main keyword.

These are related keywords that you are exploring in Google.

Using LSI keywords will enhance the relevancy of your content.

Latent semantic indexing can help to weed out the poor quality content like keyword stuffing.

This will also put a check to end the article spinning which is widely used by Blackhat SEOs.

This will also help the search engines to understand the subject relevance of your page and will give better user experience for the reader.

You can use related keywords which are adjacent to your main focus keyword and use them in your article to accomplish for better SERP results.


What Are Latent Semantic Indexing Keywords?

Latent semantic indexing algorithm  analyzes vocabulary, language and semantics to establish the true meaning.

Using LSI algorithm, Google carries out statistical analysis of the type of language and vocabulary used in the page and compares it with similar pages with relevant keywords and vocabulary.

Therefore, Google uses semantic principles and ranks your page based on the true meaning of the content rather than stuffed keywords.

The main objective of Google and other search engines is to provide the best information they can to the users while searching.

Hence, it is important that these search engines must understand the exact information users are looking using keywords.

Google’s latent semantic indexing (LSI) algorithm uses character strings in a document to establish its semantic relevance or the true meaning of the keyword used.

It identifies and distinguishes vocabulary, language and semantics.

It analyzes the meaning of each keyword given by the user and matches with all the available keywords using vocabulary, semantics and language to give a correct match.

when you search for cars, how does Google distinguish between “cars movie” and cars?

When you search for a query in Google, it will try to find the all the possible ways to understand what you are trying to search.

Autocomplete – what you mean so that the user can choose the one they are searching for.


Synonyms – It will try to find the synonyms to recognize the definition of the words.


Spelling mistakes – finds all the spelling slips and will fix those errors by providing better alternatives.

Correcting spelling mistakes in google

Image results – Shows you relevant image-based results with thumbnails so that the user can get information from multiple sources.

blended results

Understanding your Search Query – Based on Google algorithm, it will try to find the broader meaning of terms that you are exploring.

latent semantic indexing search

After figuring out all these, Google will rank the pages based on 200 ranking factors and will show you the results.

How To Find LSI Keywords


What are the advantages of LSI keywords?

Using these keywords will boost your on page SEO and help you to rank better in organic search.

No Keyword Spam 

The usual practice to rank high in the search engines is to use keywords repeatedly.

Using semantic keywords can keep you safe from being labeled as a spammer.

When you stuff keywords, Google will consider that as spam, so by using semantic indexing keywords you can rank well and at the same time you will avoid a penalty from Google.

Content rich articles

Google prefers content rich websites and they tend to rank naturally.

When you are using synonyms, it indicates a signal to Google that you are writing content for visitors and not for Google.

So when you are drafting content rich articles with minimum keyword density, you will rank on the first 30 results of Google easily.

Once your post is indexed, then some distinct factors like CTR, Pogo sticking, Social shares will decide your SERP results.

Reduced bounce rates

If you stuff your article with the same keyword many times, it will annoy your readers and they will discover that the article has been stuffed with keywords just to rank high in the search engine for better SERP results.

So people will go back and search for the same article again.

This is called “pogo sticking” which will impact your SERP results.

But with Semantic Keyword Grouping, users will never feel the same, because of relevant content and this will help the users to stay longer on your page.

Ranking for multiple keywords

Yes, it’s true that one can rank for the same article using multiple keywords.

Many websites rank for more than one keyword because LSI keywords are related keywords to your main keyword and will help Google to identify that the content is all related to the same topic and will show your page for more than one keyword.

You can rank for more than one keyword easily.

If your article CTR is good then you will rank for multiple keywords for the same article on page one and page two for two relevant keywords.

Better Organic results

Organic traffic is very crucial for every site. Even though you get a mass amount of traffic from social media, LSI keywords will help you to rank better than your competitor.

There are many factors to be examined here but the odds are very high. If you use correlated long tail keywords with synonyms, you will see growth in organic traffic.


Long tail keywords VS LSI keywords

Although they sound alike both are distinct.

Long tail keywords are keyword phrases which are very distinct.

Example : “best interior design ideas” is a long tail keyword which is specific about “interior designing ideas”.

The LSI keyword for the above keyword is “best decorating ideas”.

For “interior design ideas” the synonym keyword is “decorating ideas”.

These two keywords mean the same but Google considers these two as different keywords.

There are many free tools to find long tail keywords  and by using long tail keywords you can increase your rankings for related searches.


LSI keyword tools


Google related searches

google related searches

For example, when you search “keywords” in Google, it will bring you auto suggestions and shows you a list of semantic LSI related keywords which are also long tail keywords.

These keywords are also long tail keywords but are related which is why Google displays it so that the end user who is trying to search for a particular query will get the related results.

Google autocomplete

google autocomplete

Google autocomplete suggests keywords which are identical to a given keyword in a Google search. From this, you can get 8 different keywords in Google related searches. So all you need to do is to find keywords in autocomplete and search them again to find the related keywords.


If you want to invest your money in blogging, there is no other keyword research software that can match Semrush.

lsi keywords

Semrush gives you related keywords and phrase match keywords with CPC and search volume. These keywords can be used in your article.



theseotools is another free tool to find out LSI keywords very easily.

Enter your keyword and it will give you the list of keywords with a + sign. Once you click the keyword, it will show you a related keyword which means the same.

For example, “keywords meaning” and “keywords definition” are two different keywords but the meaning is almost the same.

You can use both the keywords in different areas like H1, H2 or in the body text to increase the relevancy of the article.


LSI Keyword Generator

LSI Keyword generator is a simple tool which helps you to find Latent Semantic Indexing  keywords easily. This is free to use.

semantic web search engine


Using SenseBot, one can generate a summary of multiple Web pages on the topic of your search query.

It is a semantic search engine which uses text mining and multi-document summarization to identify and reveal the sense from web pages and will present it to the user.

Above the summary displayed is the “semantic cloud” which allows the users to focus on the results.

Implementing LSI keywords in your article

Pick three to four long tail keywords which are semantically related to each other.

You can use LSI keywords in many places in your articles. But in order to achieve better results you should use these keywords in the body, H1, H2, images.

You can use all keywords in your post but prioritize them first.

Take one main keyword and pick all the synonyms for that keyword and add relevant content for that keyword in the description.

Use a secondary keyword in your Headline. This keyword can be related to your main keyword or it could be about another variation of your main keyword.

Use one LSI keyword in alt tags and one in your meta description.

If you want to know more details about how to implement it then check how to get more views from Google.

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