With technology changes, users evolve, user experience gets upgraded to a whole new level. The new thing is in the way people search the web for information, make reservations, orders, purchases, etc. Smartphones have changed user behavior. The voice search focus has shifted to local results and user expectations to getting faster (even immediate) answers. Now, technology’s moving further offering people voice search and digital communicated help. Alexa, Siri, Cortana, Google Home, and others — voice assistants are bringing user experience to a whole new level with voice search.
According to the voice report by Microsoft, 72% of respondents perform voice search with the help of a digital assistant. Smartphones and smart devices (aka smart speakers) are changing users’ approach to search. From typing to tapping to, actually, using your voice to search. This, consequently, results in a significant change in how people formulate their requests and receive search results.
Natural language. Today, semantic search out weights good old keyword-based search, allowing for better user experience. Search algorithms become smarter, and search engines already guess the search intent behind queries to immediately answer their needs.
You must have seen that if you ask google a question on your browser it actually generates a box with possible follow up questions in voice search format.
Moreover, today search engines recognize natural language way better than it used to. Which , together with improved speech recognition, actually, works in voice search’s favor. People like asking questions and receiving answers. This is our natural comfortable form of interaction with each other. And this is the right way we like to get information. That’s why the majority of people use natural language to form their queries to voice assistants, like in a real-life conversation.
Making machines understand and communicate with users looks like some kind of magic. But there are several scientific subjects that work on making all this possible. There are parts of computational linguistics, computer science, artificial intelligence, etc.
Speech recognition is what makes machines understand spoken commands. Natural language recognition and processing it is behind the ability of machines to understand what people ask using voice search. Conversational AI — the voice assistance component — allows digital assistants to interact with users in dialogue, answering questions, asking questions, giving directions, recommendations, etc.
Assembled, they do the magic of machine-to-human interaction, changing the way users perform search (and user behavior in general). Simply put, as soon as you say, “Hey, Siri”, “Ok, Google”, etc. and make a command, some intelligent technology translates it to the machine, making it handle this command. In case of voice searching, the assistant searches the web through a corresponding search engine and comes up with a vocal result.
No more 10 blue links. About 35% of voice searches are made through smart speakers that don’t have screens at all. Which means no more 10 blue links as search results. That’s bad news. A voice assistant won’t read aloud the whole Link. It will choose the most relevant and appropriate result. Like search engines, voice digital assistants strive for maximal value for users. Thus user behavior, preferences, location, search history, etc. will be taken into account.
This makes voice search hyper-competitive and challenging. But at the same time — and this is good news, — voice search opens a large area for experiments, being at the beginning of a new era in search. Consequently, there’s no precise recipe or some kind of basic how-to’s. Optimising managers will have to observe, analyze, and react based on the analysis.
Voice will dominate in search in the upcoming years, it is easier and will be used more frequently. Taking into account the active adoption (75% of households are to get at least one smart speaker by 2020) and use of voice digital assistants, as well as an increasing interest in smart speakers, voice search is here to stay. So it’s time to start implementing measures to use this to your advantage.
How to optimize for voice search
All these changes are, definitely, affecting your google ranking, and require several specific changes to be applied to any SEO strategy. This doesn’t mean you have to give up on the classic SEO approach. You don’t need to put all your effort into voice search, not for now, at least. Voice search is still search, so old rules still apply. Moreover, content that ranks well in classic SERPs is more likely to appear in voice search. About 75% of voice search results rank in the top 3 for that query. What you probably need now, is to revise several tactics in order to increase your chances for appearing in voice search results. These are some optimization ideas:
1. Answer questions.
2. Be readable.
3. Provide for featured snippets.
4. Implement local SEO.
5. Use schema markup.
6. Improve page speed and security.
Answer questions. Given the majority of voice search queries are made using natural language and in the form of a question, it’s quite obvious you need to provide for this. The better you answer a user’s question, the more probably it will fit for the voice search results (there’s a short guideline by Google on what answers are considered to meet user’s needs).
This will require more specific keyword research, as you’ll need to build content around long-tails containing question words. In fact, it’s not a big deal, as there are plenty of examples to see what people usually ask for. You may explore search engines’ autocomplete functions. People Also Ask boxes can be also useful.
Be readable. Actually, this correlates with the tip above and fits for any content you create. But it’s especially critical for voice search results. Easy-to-read content is more likely to be chosen by digital assistants. Because it is so easy to read. You may check your content for readability using Hemingway Editor (or any other analog, there are plenty of them). This one is super easy to use. All you need is to paste your text into the editor and follow the app’s instructions until you gain a good readability score.
Provide for featured snippets. It’s believed (and is true for about 40% of voice search results ), ranking in position zero increases your chances to be read aloud. This position is called a featured snippet — a rich search result that contains a direct and concise answer to a user’s query. Thus, it’s quite easy to work on optimizing for featured snippets. You need to organize your content so that it answers questions. Here are some options you may use (if applicable):
- Try to build your content in a conversational manner, asking and answering questions.
- Structurize your copy in short easy-to-read paragraphs with a question form subheading.
- Create a how-to part on your page.
- Use different lists with numbers or bullet points, tables, steps, etc.
Local SEO. Nearly half of voice search queries has strong local intent, according to this study. Which means voice search helps greatly towards local small businesses. Thus, it’s critical to secure a place in the local search results. This brings us to the necessity of work thoroughly on local SEO.
Here, the first and most obvious step to take is to create and fine-tune a Google My Business listing. What people usually want to know is: address, information about products or services, prices, working hours. Then they would like the possibility to make an order, delivery options, sales, and perks, etc. In fact, here there are no unnecessary fields to fill in. Every little thing matters.
As digital assistants tend to take information from search features, ensure to provide for appearing in the Knowledge Panel. Whether Google decides to show your Knowledge panel or not strongly depends on how much information your Google My Business account contains. So, seriously, you need to fill in every section of your listing. Plus, working on your Google My Business account is a constant process. Update it, add photos, videos — keep it alive!
Schema markup. Though there’s no strong correlation observed between voice search and structured data markup, it’s still better to use it than not to use it at all. Here’s why.
Structured data (schema) markup is a great possibility to help machines understand what your text or page is about. This makes robots see what a certain set of letters and symbols actually mean. So it’s easier for them to define the page’s relevancy to a given query (which is good for your google ranking).
Google’s recently announced a new markup type called Speakable, designed especially to point out parts of the page that can be read by voice assistants. It’s still in beta now, however, you can test it and see how it works. There are some requirements you need to meet before you’ll be able to be eligible for using this tag on your page.
Page speed and security. Last but not least, let’s talk about your site speed. It affects user experience, rankings and, it has a huge impact on voice search results. The average voice search result page loads in 4.6 seconds, which means you really need to put your effort into improving your site speed. PageSpeed Insights by Google can measure your speed and point to the bottlenecks you have.
I believe, voice search is not just another buzzword, it is here to stay and eventually take over. It’s a trend that is going to develop and gain the biggest search market share. The future where we are able to speak to virtual assistants naturally, as we do it speaking to other people, has already begun. We will not just be getting information from them, we already can delegate certain tasks to them. And there’s plenty of room for development in this area, as technology today proves to evolve fast. This definitely disrupts the existing idea of Optimization, challenging marketing agencies with a updated task of complying with this big change in the field where everything used to seem stable.
article originally by la