Google Home is a digital assistant on the market for this holiday season. You can ask it questions, and it will respond back to you depending on what it can find on the web. While this device can recognize itself, if you ask it other questions, such as what are the other search engines, it will respond to you with a dictionary-like definition.
How can you optimize for this?
First, we need to see where Google is getting the data for your search queries. Google Home pulls information from a variety of places, including content from pages that Google has indexed, and thinks will satisfy your questions. In some cases, Google returns answers in the form of “Featured snippets.” These are displayed at the top of organic search results pages.
While Google Home relies heavily on “featured snippets”, to be considered for these responses to branded product questions, sites must provide the content necessary to quickly answer users’ queries.
There is no way to code or optimize for pages of featured snippets or responses, and they don’t come from the Knowledge Graph. The search engine giant determines which pages are likely to answer the user’s question and then displays these result in the form of a featured snippet.
It is likely, however, that Google Home brings back data from Wikipedia, and often this data is the first line of the content. Marketers should be sure that their company’s Wiki entry, or site data, displays the most relevant information at the top of the page.
What the assistant can’t do – is let users navigate to websites, or provide feedback if anything goes wrong. The machine also can’t make phone calls or provide driving directions. However, the assistant is likely to see many changes in 2017, as well as updates to its design and software.