Earlier this year, Google rolled out the Related Questions feature (AKA "People Also Ask"). If you haven't seen them yet, related questions appear in an expandable box, mixed in with organic results. Here's an example from a search for "Samsung Galaxy S6":
If you click on any question, it expands into something that looks like a Featured Snippet:
Currently, Related Questions can occur in packs of between 1–4 questions and answers. Here's an example of a box with only one question, on a search for "lederhosen":
Once expanded, a typical answer contains a machine-generated snippet, a link to the source website, and a link to the Google search for the question.
How common are related questions?
We started tracking Related Questions in late July on the MozCast 10K, where they originally appeared on roughly 1.3% of queries. Keep in mind that the MozCast set tends toward commercial queries, and the absolute percentage may not represent the entire web. What's interesting, though, is what happened after that. Here's a graph of Related Questions prevalence since the end of July:
You can clearly see two spikes in the graph — one measured on October 27th, and one on December 1st. As of this writing (December 10th), Related Questions appeared on about 8.1% of the queries we track. In less than 5 months, Related Questions have increased 501%. This is a much faster adoption rate than other Knowledge Graph features.
Where do the answers come from?
When you expand a question, the answer looks a lot like another recent Knowledge Graph addition — Featured Snippets. Digging deeper, though, it appears that the connection is indirect at best. For example, here's an expanded question on a search for "monopoly":
If you click on that search, though, you get a SERP with the following Featured Snippet:
It's interesting to note that both answers come from Investopedia, but Google is taking completely different text from two different URLs on the same site. With Featured Snippets, we know that the answer currently has to come from a site already ranking on page one, but with Related Questions, there's no clear connection to organic results. These answers don't seem tied to their respective SERPs.
Where do the questions come from?
It's clear that both the answers in Related Questions and the snippets in Featured Snippets are machine-generated. Google is expanding the capabilities of the Knowledge Graph by extracting answers directly from the index. What may not be as clear, at first glance, is that machines are also generating the questions themselves. Look at the following example, from a search for "grammar check":
Out of context, the question doesn't even make sense. Expanded, you can see that it relates to a very specific grammar question posted on Quora. While the topic is relevant, no human would attach this question, as worded, to this search. Consider another example, for "cover letter examples":
The first and last question are obviously, to a human, redundant. To a machine, though, they would look unique. To be fair, Google has come a long way in a short time — even a couple of months ago, some of these questions were riddled with grammar and spelling errors. As of this writing, I can't find a single example of either.
Finally, there are the questions that no human would ever ask:
No rational human would ever want to know what kind of meat is in a gyro. It's better that way.
What's coming next?
It's clear that Google is rapidly expanding their capability to generate questions and answers from the index. Both Featured Snippets and Related Questions have evolved considerably since their respective launches, and Google's ability to understand natural language queries and semantic data is growing daily. It may be months before we fully understand if and how these results cannibalize organic clicks, but it seems very clear that Google no longer considers these features to be experimental and will be aggressively pushing forward question-and-answer style SERPs in the near future.
I think that Google should stop doing this. Lots of the information that they offer this way is incorrect, out of context, or half of the necessary facts.
Lots of people are going to believe the information in these snippets because they "got it from Google". The searcher should be sent directly to the information source where all data and disclaimers are presented. The visitor can then read or ignore at their peril. This is especially true for YMYL topics.
For the same reason I don't believe that "buy buttons" should appear in the SERPs. They will convert the visitor without the visitor reading full descriptions, disclaimers, warnings, and terms. The merchandise sold this way will have a very high return rate.
This x1000, and is why, as a lawyer, I don't think the "book now" or "buy now" buttons are going to be useful for my target clientele outside of very specific branded searches -- few people are going to pick a lawyer or doctor off a Google "Buy Now!" button without doing more research on the provider (as they should).
Is there any data on Google's use of Knowledge Graph or Related Questions in YMYL queries, like law or medicine? Seems like a big liability for them. It also seems like a real b**** for those of us in these industries that are still pushing quality content in hopes of organic ranking and converting info seekers to actual clients that we can help -- they won't go to our page if Google is scraping our content for computer-generated snippet answers.
Seems that this tool is only available on the English version of Google. I'm from Spain and I didn't find a way to show it up (in google.es), but it appears in google.com. Any clue about when it will be available for other languages?
As is clear from the article, knowledge graph is still in the stage of formation. I believe that Google must be working on the refinement of results from knowledge graph. Once everything is in place and the results are perfect, Google will look to expand it for all geographies.
Yes schema is something that is going to play major role in this formation. It is of utmost importance for the website owners to understand the use of schema and use highly appropriate tags to describe their content..
I think there is a difference between Related Questions and search queries answered through Google's Knowledge Graph. In 100% agreement that search queries answered through the Knowledge Graph can provide inaccurate information, but Related Questions encourage the user to explore further which means the user will visit more sites and hopefully come away more educated.
Maybe I'm reading this wrong but isn't the percent change between 1.3% (130) and 8.1% (810) equal to 523% ? Either way quite the increase. An additional note I would add is that the People Also Ask knowledge panel tends to appear in short or navigational queries such as the finance industry "monopoly" example or "natural gas" and the medical industry with an example like "ebola" or "flu".
People Also Ask knowledge panel tends to appear in short or navigational queries
This is exactly what I see. One and two word queries - especially nouns - have these at a higher rate than more specific queries.
I'm afraid that was just a matter of reporting precision in the article. The actual change was between 1.34% and 8.06%. I rounded for the blog post. Reality is that those numbers do move around a bit day-to-day, and so the difference has been higher, if I cherry-pick the days. From the first day we captured data until December 10th, though, we're looking at just over +500%.
This is exactly what I see. One and two word queries - especially nouns - have these at a higher rate than more specific queries.https://skrotpriser.com
I find this knowledge graph future very useful. Many times I'm just boring to click on the link. This feature saves me lots of time, when I want to learn something.
Are these only showing for informational queries, or are there other types of searches being pulled into this format? Recently i've only been able to trigger this with general informational queries, but I wouldn't be surprised if Google decided to expand into more commercial-intent based questions (like reviews, comparisons, etc). Is there a rhyme or reason that you're seeing why some queries get the related question feature and others don't?
I don't have stats on query type, but eyeballing the list, I am seeing navigational and commercial queries as well. See, for example "Galaxy S6" or "Xbox One". Some are odder, like "Magellan" (navigational, in theory, and informational). I'm seeing them on queries of varying lengths, too. Right now, it's a bit hard to sort out the rhyme or reason.
For 2016 I really need to create perfect answers page for specific and popular questions in my niche :)
We had two peaks, why always we are prepared to receive many visits in quantity!
I think they help to find out our search queries easily.
Related questions provide more info and Google is committed to provide max information to its visitors.
As a user I have not found these helpful. I wonder if this is just related to the rise of OK Google use on phones. I have been using that feature a lot and often it is useful.
Muy interesante la verdad, siempre aprendo con tus artículos, muchas gracias
Un saludo desde Spain!
It´s very interesting how Google are developing the algorithm. Definitely Rank Brain will be the future and the SEO will be more and more difficult
Yes, I 100% Agree with you EGOL, After few day Google will create an Q&A Section in SERPs, for giving all the solutions and Schema will help a lot for this to Google...Slowly Organic Results are going below, if some one get the answer from Google that is define for user trust worthy then they wont go for below result if the result is really not satisfy Him/Her...?
I'm agree with Egol, this is not a good way to solve these questions. They are mixing información and sometimes these información are wrong.
Anyway thanks for this article, it so useful and interesting.
It seems like there would be end of the informative & news websites because everything will be shown in SERP and google will placed a reference link at the end of the content. Even in that screenshot you provide, google used that websites content as answer of query and then placed that website's ref. link at the end. Why do they need this?
People loving to read the answer provided by google because as usual Google is Great, but no one interested to know how google using our information and showing in the SERP. I would be agree that google will stop doing this, in fact they are good search engine and they don't required to be more specific.
@ Egol, I am thinking the same as you, and I am damn sure that if things will happen like this, it would be very hard to get more visits on the websites, especially for those website who provides information.
Thanks for this topic and screenshots, interesting to read.
I don't like that related questions.
Nice Article!
Great article! I learned new things in it