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As you can see in the screenshot to the left, it gives us dozens of keywords that we aren’t able to find through the Google search methods:
One way that search engines like Google have managed to sift through the bad content and quickly give us what we want is through the use of latent semantic indexing keywords. But what exactly are LSI keywords? How are they relevant to SEO? And how exactly can we use them within our content?
The autocomplete feature immediately gives us 9 potential LSI keywords. In reality these are actually more long tail keywords than LSI keywords, but they still are useful.
Other options for incorporating latent semantic indexing keywords involve including them in:
Others, such as Ashton Kimberley and us here at Keysearch, believe that they’re extremely important to SEO ranking because they signal to search engines that your content will satisfy what the user is searching for.
How to Incorporate LSI Keywords Into Your Content.
It’s especially valuable when these keywords are used as anchor text and in the first/last paragraph of your content.
For example, let’s say you have a recipe blog and are writing a post about “dressing”.
Google uses LSI keywords as a way to identify the context of your content.
Keysearch Content Assistant.
In this instance, I can also move forward with my search and find a new set of keywords at the bottom of the first page results.
This certainly doesn’t mean that you should start stuffing LSI keywords everywhere that you can (as this will most likely hurt your cause).
The free LSI keywords tool above is a great, quick way to find LSI keywords for any niche. This uses our basic LSI finding algorithm to return results as fast as possible and get you started. If you need more in-depth LSI keywords analysis, make sure to signup for a Keysearch account to access the more advanced features described below.
If you’re looking for a few free tools to test out as you get started with your latent semantic indexing research, a few of the most popular include:
The major downfall of this tool is that you only get 3 free searches per day and the premium plans start at $24/month (which is comparable to tools with far greater capabilities).
As with most things in the world of SEO, we don’t know for sure how Google and other search engines factor LSI keywords into their algorithms.
Understanding the Role of LSI Keywords.
This practice diluted the content and presented a huge problem to the future of search engines.
Ok so now that we know about LSI keywords, here is where we can gain our edge. We can just include these LSI words, give Google what it wants and make our lives that much easier when it comes to ranking!
Signup for a Keysearch Account to take your keyword research to another level.
Content Assistant uses the same algorithm as our deep analysis feature but also adds another level to LSI keyword finding. We include the Google related searches as well as the top ranking keywords for the #1 result in Google. This is an incredible way to find hidden LSI words. We can see the keywords the #1 result in Google is ranking for and return the ones getting the highest traffic. This ensures you are including everything in your content that Google should expect to see to rank you higher.
So how does that help us?
Both of these SEO experts make valid points for their opinions.
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Why Search Engines Use LSI Keywords.
The term “dressing” can have several different connotations, including:
Free LSI Keywords Tool.
For example, if I was writing content on the topic of “getting a mortgage”, I would simply type that into Google and the autocomplete menu would look like the image on the top left:
Since different keywords can obviously have different meanings, Google uses latent semantic indexing to identify the meaning of the keyword that you’re using and return relevant content for the users search query.
Keysearch Deep Analysis Feature.
When Google first started trying to determine relevance in searches, they did so by taking a look at how many times a certain keyword was included in a specific piece of content.
Search engines have evolved quite a bit from the early days of the Archie Query Form. Fortunately, most of the improvements that have been made over the years have been related to helping us (the users) find what we’re looking for as quickly as possible.
The keyword count field is editable. You can see the existing keyword frequency on the page and how to improve it by using more or fewer keywords. You can edit this field manually (and you can add more of your LSI keywords manually as well).
The need for latent semantic analysis appeared at the time when computer capacities grew, and programmers sought to improve users’ access to information. Text-related information processing demanded more efficient semantic analysis. LSI technique was aimed to tackle several issues of text analysis, namely, synonymy and polysemy.
For finding LSI keywords, launch the WebSite Auditor and go to Page Audit > Content Editor module. Hit the + button to add the URL of the page you will be optimizing (the existing page or new one), then proceed to add your target keyword for the page.
What is homonymy? \n A slightly different phenomenon is homonymy when words are spelled the same (homographs) or sound the same (homophones), but mean different concepts, unrelated by origin. For example, you have to be or not to be as a verb, and there is a bee as an insect.
Again, you will get all your keyword research stats such as search trends, CPC costs, and even the strength of the domains ranking on the SERP for the keyword, together with their links, organic traffic, and social media popularity.
Latent Semantic Indexing, for short, is a mathematical technique that finds relationships between words in a collection of documents. Using LSI, we can compare a dozen texts and conclude that some of them are similar by topic. The algorithm elicits similarity even if the main topic keyword is not used in some texts directly.
LSI can be used to compare terms to terms, documents to documents, and terms to documents. As a more specific case, it serves to find the neighboring terms (those are the terms closest by their weight), finding a cluster of words closely related to one concept. These can be not only synonyms but also opposites, or simply words that often go together with the major topic. Thanks to the word clustering LSI does, it is effective for document search and categorization.
In this article, I'll dwell on the origins of latent semantic indexing and the concept of LSI keywords. And I’ll show a couple of LSI keyword generator tools to use in copywriting. Enjoy!
Keysearch is another free tool to discover LSI keywords for your content. The keyword-finding algorithm behind the tool goes through the first page of Google search results for your main keyword and analyzes all on the ranking pages to find words and phrases most frequently used in them.
Alternatively, for content creators, there is an option to export recommendations in a PDF file and hand them over to use in some other writing tool.
LSI is a patented technology, published in 1988 (and the patent expired in 2008).
What is more, every day, Google gets 15% of searches that it has never encountered before. How does it handle them?
Content Editor makes part of WebSite Auditor, a tool from SEO PowerSuite software that combines the functions of a site crawler and content optimization app in one. For content creation, WebSite Auditor has a separate module to audit individual pages, and the smart writing assistant tool to optimize pages in-app.
Google Images is another easy method of finding keywords with the help of labels. The tool suggests the most popular short-tail keywords, closely connected by semantics to the target keyword, and represented in abundance in image results.
The Content Editor tool will analyze the SERP for top-ranking pages and provide on-page optimization tips.\n In the main window, you will have the editing space where you can create your content and see the optimization score improving right-hand right in-app.
What is Latent Semantic Indexing?
While Google autocomplete is undoubtedly the best source for keyword discovery, this is not always what we mean by LSI keywords. Besides, take notice of the difference between long-tail keywords and semantic LSI keywords. Long-tail keywords already incorporate your main keyword, most likely they will fit into your content, and you will probably want to track them as your target keyword phrases. Whereas LSI keywords may not even include your target keyword at all.
Down the SERP, you will always see the universal search result known as the People Also Ask box. This place is more likely to give you a couple of great semantically related topics.
The clues found in the PPA box are a great choice of LSI keywords to optimize for mobile voice search and FAQ boxes.
LSI keywords are words that are semantically related to the main topic keyword of the page and can be found in a variety of similar texts.
From the latest algorithmic updates, Google uses BERT to improve the relevancy of search results to user queries. The neural network for natural language processing is used for passage ranking or to understand the deep semantics in videos, which seems to be much more complicated than LSI.
What are synonyms? \n Synonymy is a linguistic term describing the existence of different words for the same thing or concept. For example, for the way you go, you have a number of words to describe it as a route , a road , a drive , a passage .
What is polysemy? \n Polysemy is a linguistic term for one word having more than one meaning. Polysemes have different, nevertheless, related meanings. Take the word drive : you can drive a vehicle , or you can drive your friend home from a pub , or you can simply drive for a long time . Another thing is that you can drive somebody mad . The word can mean a determination, a journey, a wide pass for vehicles, a computer part, etc.
3. LSI Graph.
Keysearch offers a Content Assistant tool that uses the deep analysis feature algorithm. It adds another level to finding LSI keywords. The tool includes related searches from Google plus the top-ranking keywords for the first result in Google. This way you find the most profitable key terms of the best page that draw the most organic traffic to the website.
For all those asking whether Google uses LSI keywords, there is one short reply from Google representative John Mueller once and for all:
So, why is Google associated with latent semantic analysis? We know for sure that Google’s search engine distinguishes polysemes and synonyms. For popular queries, at least several results on the SERP should cover approximately the same aspect of the topic, since Google successfully identifies the keyword and distinguishes polysemes (of course when you specify it but also based on your search history), and even interprets the intent of the query to draw the most relevant texts.
The term ‘LSI copywriting’ is used in content marketing to denote the process of adding related terms to your content. Roughly speaking, SEO copywriting tends to get away from outdated and unnatural keyword stuffing techniques. It rather focuses on creating user-friendly content: copywriters should make texts written naturally and bring added value to users (the same thing that search engineers strive for).
Can mentioning related words and phrases boost rankings? Not exactly, the effect is not guaranteed. You add relevant keywords to your content and expand the topic, you cover it more in-depth. Meantime, you get more keywords on your page, and your target keywords are supported by enhanced context. Search algorithms may reveal some additional queries that your pages are aimed for. This drives more relevant organic traffic to your site and contributes to your online visibility overall. But what additional keywords are best for on-page optimization?
As you keep adding new content, the weight of each keyword against the overall word count changes. A special Word cloud widget illustrates the weight of your keywords in the content.
This is an animation of LSA example from the introduction to topic modeling tutorials.
LSI Graph is a nice semantic keyword tool that speaks for itself. It allows performing 10 searches per day for free. Just go to the website, paste your seed keyword, and you will get a list of LSI keywords, accompanied by SEO stats that help you pick the most promising keyword phrases. The results will bring a bunch of ideas to enrich your content with more topics or features.