As the sophistication of search algorithms continues to increase, search engines are improving their understanding of what their users are looking for with their inquiries. Prior to replacing its search methodology with the Hummingbird algorithm in 2013, search results typically showed results that had a high percentage of the same keywords included in users’ inquiries. While the pages that were returned based on keyword matches generally reflected some relevance to the search, there were also results that had nothing to do with the nature of the inquiry.
Two of the primary reasons for these unrelated results were black hat techniques that were used to trick the early algorithms into granting high ratings, as well as words that were spelled the same but had different meanings, known as homonyms. An example of a homonym is the word “lead”, which can either be a noun as in the metal or a verb as in “to guide”. An inquiry such as “lead dog” could list sculptures of dogs made of the metal as well as dog teams in the Iditarod race. Refining the search to “what is a lead dog Iditarod” could still return mixed results. With the implementation of the Hummingbird algorithm, searches provided results based on the context of the inquiry, rather than trying to find pages with identical keywords.
The change to contextual search, in addition to providing a higher percentage of relevant results for all users, was also influenced by the more conversational nature of inquiries from mobile device users. When voice commands are used, it’s more natural to ask a question than limiting inquiries to a few key words. As the search phrases became longer, keyword-based algorithms struggled to return listings that answered the questions that were being posed, which required follow-on searches and lead to a less than optimal user experience.
For businesses that have not changed the foundation of their SEO initiatives to the new search methodology, previously high rankings are likely to start falling, if they haven’t already. The key to success in context-based search is to modify content so that it answers the questions posed verbally by mobile users. As a simple example, a searcher may pose the question “Where is a pizza place in Anytown?” Content that answers that question, which would earn a higher search listing, would include something like “Jack’s Pizza is located at 123 Main Street in Anytown.”
As Google and the rest of the search engines try to deliver the best user experience possible, the focus is on eliminating listings that don’t deliver the answers sought by searchers. To that end, the listings that are presented will increasingly address the full context of inquiries with the delivery of specific answers. In this environment the SEO campaigns that are modified to answer questions, rather than match keywords to searches, will deliver website and storefront visits which will drive revenues.