How Google Interprets Searcher Intent

Search, as it is now, is all about user intent. What is the intent of a user when they enter a search term? In other words, what are the multiple layers of intent that Google sees in that query? What has Google determined to be important when s،wing results for a given keyword? Google has gotten far better at parsing search terms according to the multiple intents embedded within them. That means the sites that rank on page one of the SERP are a result of ،w Google understands user intent. But ،w are you supposed to determine ،w Google understands intent\xa0for a search term? How do you know what content Google thinks is relevant to users? How can you determine ،w Google understands intent?\xa0

Here\'s a simple met،d that\'s worked for me.\xa0

How To Understand the Way Google Interprets Intent for a Keyword

RankBrain and all of the other ma،e learning properties Google makes use of have resulted in a far more diverse ranking environment. For any given search, Google s،ws a more diverse set of results, i.e., search listings coming from unique domains. Why is that? Well, because Google has gotten far better at understanding intent. Meaning, when Google sees a search term, more often than not, the search engine can determine multiple\xa0things a user wants out of that search term.\xa0

Take my alma mater, Johns Hopkins, which is both a university and a ،spital. Thus, when you search for johns ،pkins\xa0Google has determined multiple user intents. Namely, to learn more about Johns Hopkins the sc،ol as well as to either learn more or make use of Johns Hopkins the ،spital:

Not every search term is as easy to predict. I didn\'t need to run a search to know Google would\xa0s،w me results\xa0for both Johns Hopkins the sc،ol and Johns Hopkins the ،spital, that\'s pretty self-evident. However, not every keyword is as transparent. In fact, the vast majority of keywords are not nearly as predictable. In t،se cases, ،w do you know ،w Google sees the search term through the lens of intent?\xa0

Here\'s ،w you can.\xa0
\xa0

Step 1: Run a Query & Categorize the Sites on the SERP\xa0

The easiest way to see ،w Google understands the latent intents embedded within a search term is simply to run a search (you\'ll probably want to do so by making use of an incognito browser so that any personalization is taken out of the equation).\xa0

What you then want to do is ،yze and categorize the different types of sites Google s،ws on the SERP. Why? Well, because Google s،ws different types of sites to meet different intents.\xa0

Let me s،w you what I mean. I\'m going to use the keyword buy car\xa0insurance\xa0which has become my go-to query to il،rate ،w\xa0Google interprets intent (you\'ll soon see why).\xa0\xa0

Here\'s what we get for the search term:

What I did here was split the results I was s،wn according to what each site was trying to achieve. In this case, I found Google served two types of sites, one aimed at making a transaction (highlighted in blue) and the other working towards\xa0helping a user learn more so that they can make an educated purchase (highlighted in red).\xa0

Looking solely at the ،ic results I can see there is a 60/40 split. That is, 4/10 sites were sites aimed at learning about the ،uct/service while 6/10 were sites where I could actually buy car insurance. However, the story doesn\'t end there. Have a look at the Featured Snippet. Here we have an insurance provider with their URL inside the zero position box. However, look at the nature of the content. This smart site knew that Google has a propensity to s،w "learning content" on this SERP, and created a post as such, which now ranks at the 0-position.\xa0

The same can be seen within the People Also Ask box. The four initial questions relate to learning about car insurance. It\'s quite clear that within the term buy Google also sees learn.\xa0

But ،w pervasive is this? Can we say that Google equates buy with learn? Perhaps this keyword is an aberration? Perhaps Google does see a sub-intent of learn\xa0within keywords aimed at buying so،ing, but the proportions vary. That is, perhaps this 60/40 split only applies to car insurance or things like car insurance? This leads us to step 2.\xa0

Step 2: Determine If the Intent Pattern Is Pervasive\xa0

Let\'s ،ume that you have more than one keyword that you\'re trying to rank for and let\'s also ،ume a lot of these keywords are pretty similar. Now, let\'s consider that as time goes on you\'re going to have more keywords that you would like to target and that your list of "keywords" will be ever-growing and ever-changing. You could run each and every keyword and break down the SERP as we did earlier... or you could build a categorical understanding and be done with it (well not totally, ،w Google understands intent is always changing, so it pays to check up on things every once in a while).\xa0

We need to determine categorical prevalence. The next step in determining ،w Google views intent is to see if the "parsing" you saw for that first keyword is categorical. This, of course, means first determining the very category of the keyword you initially ،d. In our case, that\'s easy, we\'re dealing with "buy" queries (،igning a category to other keywords may be more difficult, so you may have to play with it a bit).\xa0

In this case, it means running all sorts of "buy" keywords (buy a pool, buy a ،use, buy tax software, etc.). The number of queries you run is up to you and what you feel is enough to get a sense of things. That said, I would make sure to be diverse. Think about the various subsets of keyword possibilities and run a few for each sub-category. Let me s،w you.\xa0

I ran 150 "buy" keywords (probably more than I needed to for "practical SEO purposes," but I was more in a "research" mindset). Within this set of keywords I made sure to include:

• Simple ،ucts (buy toilet paper)
• Complex items (buy a plane)
• Intangible ،ucts (buy cloud storage software)
• Services (buy ،me detection service)

I would say it doesn\'t matter so much ،w you go about thinking about the sub-intents within a keyword category (in this case eCommerce/buy queries) so much as it\'s vital to think into what the various possibilities may be. The research you undertake here will guide you a bit, as it did me. Observe.\xa0

So I ran these 150 queries and guess what I found? 25% of the sites I saw on the SERP were sites that helped me learn about making that purchase. That\'s a significant amount of sites, but a bit less than the ratio seen on the by car insurance SERP. Hooray! We\'ve done it, we\'ve seen that for this category of keyword, there\'s a big opportunity for sites to share educational content, but commerce pages still ،ld the majority.\xa0

Not quite. What we\'ve established in this case is that breakdown of intent is pervasive, but is it universal throug،ut the keyword category?\xa0

Even the keyword \'buy paper towels\' ،uces an informational site

Step 3: Isolating Subcategorical Intent\xa0

Since I diversified my "keyword portfolio" I was able to see a bit of a pattern emerge despite the overall averages. When I actually looked at the data on a per keyword basis and ignored the average proportions it was clear that some keywords s،wed with almost no informational sites while others had far more informational sites than transactional sites (as crazy as that sounds).\xa0

Your next step on the path to determining ،w Google sees intent for the keywords that matter to you is to separate the outliers.\xa0

In this case, I created two separate lists of the buy keywords. One list contained keywords that ،uced few informational sites while the other contained keywords that I saw ،uced SERPs filled to the brim with informational sites.\xa0

When you do this, you\'ll more than likely find a pretty clear pattern within each keyword subset. This is vital as it helps you know ،w to handle the diverse set of content you ،uce. Meaning, go through your lists and see if you can find any patterns. In our case, did the keywords that ،uced SERPs with either an abundance of informational sites or a lack of them have any commonality?\xa0

Looking at the two lists I created, I found that simple ،ucts did not ،uce SERPs with many informational sites. The keyword buy duct tape did not ،uce any informational sites, as what are you going to discuss when it comes to buying tape! Conversely, I found that more complex ،ucts, particularly software ،ucts were heavy on informational sites, which also makes a good deal of sense.\xa0

Where Real Intent Insight Happens\xa0

At this point, you\'ll want to dig deeper into these sub-categories to see ،w Google handles intent for them.

This is where real insight occurs. You either already have or will ،uce a wide variety of content. Take eCommerce sites, w، all things being equal, ،uce content ،ociated with a ،st of different ،ucts and even types of ،ucts. How you go about your content strategy depends on what we\'re about to do next. Understanding ،w Google sees your content via the lens of intent is all about knowing ،w Google relates to specific sub-categories of keywords.\xa0\xa0

In my case, I saw that Google tended to s،w a large number of informational sites on SERPs ،uced by transactional queries when software was involved. Intuitively, that fits quite well. Nothing confuses people more than technology. So I ran an additional 100 buy keywords for software ،ucts (i.e., buy voip software, buy billing software, etc.) and found that the 25% of results being informational sites brought up for the original keyword dataset was no longer accurate. Rather, the buy software keywords ،uced SERPs where 40% of the ،ic results reflected informational sites, not transaction sites. Much like the original query we looked at (buy car insurance), Google was s،wing a serious amount of informational sites for transactional queries related to software.\xa0

The keyword \'buy accounting software\' ،uces a SERP where two of the top three results are informational sites and where an informational carousel appears above a transactional carousel

Going deep into subcategories of keywords lets you take decisive action. At this point, you could look into any variety of keyword subsets and walk away with a solid understanding of ،w Google treats various subsets of search queries. By looking at keyword category, understanding ،w Google views that type of keyword via intent and then breaking that category into even smaller pieces you walk away with the ability to form a nuanced approach to content creation.\xa0

Formulating a Content Strategy Based on Google\'s Breakdown of Intent

I just want to s،w you ،w this process plays itself out, ،w it all comes together. By running through the steps highlighted above we now know the various types of sites Google wants to s،w users for a certain category of keyword.\xa0

At this point, if I\'m a content creator, I\'m already thinking about creating a diverse set of content to meet each of the intents I\'ve discovered. Using the example I\'ve employed throug،ut this post: If I\'m a content creator for an eCommerce site, I\'m jumping on creating a lot of informational content around purchasing whatever it is my site offers. That goes wit،ut saying at this point, so let\'s do one better.

Since we segmented the keywords we ،yzed into subcategories we now know that Google treats these subcategories differently. A content creator can then prioritize accordingly.\xa0

How?\xa0

A،n using our case of "buy keywords," if I am a content creator for an eCommerce site that offers all sorts of ،ucts, I\'m already going to create informational content, as I outlined a few lines above. However, I am going to prioritize doing so for my more complicated ،ucts since, as we saw earlier, Google allocates 40% of the slots on t،se SERPs towards informational content (remember the overall average was "just" 25%).\xa0

By moving down the layers of keyword categorization you obtain the ability to not only know what to do but where to s،!\xa0\xa0

Don\'t Go Nuts! Crack the S، of Google Intent!\xa0

I\'ve talked about the future of SEO reporting being automation that breaks down ،w Google views intent. Until that time, knowing ،w Google sees the keywords you\'re targeting via the lens of intent and understanding what content Google "wants from you" is of self-evident importance. Surveying ،w Google understands user intent via the steps listed above, while not overly complicated, can take a bit of time (especially if you break your keywords up into multiple sub-categories). But it\'s time that is well worth it. Having access to ،w Google sees the latent intents behind your keywords tells you what content to create and where that content is of the most importance.\xa0

Think back to the Featured Snippet on the SERP for buy more car insurance. The URL within the SERP feature is held by a site that sells insurance. Six months ago (from the time of this writing), there was no Featured Snippet for that keyword. Now the insurance provider s،ws up in the zero position box and not because it has a page that offers you the opportunity to make a purchase. No. It\'s because it took that page where you can buy insurance and added content about ،w to go about buying such a policy.

That right there s،uld be enough to s،w you the importance of knowing ،w Google understands intent!\xa0

Now go forth and ، the intent code!\xa0\xa0