Post by amirmukaddas on Mar 11, 2024 22:31:42 GMT -8
Autocompleting a search, which Google calls autocomplete search , is the feature we usually call Google suggester or Google suggest . Google is your friend As you start typing something in the search or address bar, you will surely have noticed that the system tends to provide you with precise suggestions on how to complete your query, sometimes in a funny way . The Google suggest APIs are free to access and have already been implemented in tools that have been helping SEOs for years to grasp search intentions in order to increase the relevance of their content for keywords of interest. Among all, I like to remember the now historic Ubersuggest by Alessandro Martin and the excellent Answerthepublic . com which develops all the suggestions for query classes by adding particles that introduce questions (how, when, why etc.) enriching the possibilities beyond belief. Google suggest for search trends Autocomplete predicts what you might search for based on your most frequently searched searches from what you started typing.
The order in which the various suggestions are proposed "should" provide you with an indication of the greater or lesser interest of users for the specific declination of a search intention at the moment in which you observe them. From this point of view, the Google suggester can be used as an additional tool compared to Google trends to attempt to probe trends in limited areas , since Trends responds much better to dry keys than it does to keyphrases. I wrote "should" in quotation marks, because logically things are like this, but this does not mean that... The influence of YOUR research Denmark Telegram Number Data Your browser records all your movements, all your preferences, your data and your life, in short, give me access to your browser and I will tell you who you are. Google itself interfaces with your browser (so Google knows who you are , if you doubt yourself ask Google) to direct your search towards queries you've already asked in the past, assuming you want to revisit the same website. This step is crucial for determining the ranking because if the system manages to understand that many users "want" to visit the same site starting from the same classes of queries, it can establish a strong relevance of the site itself for those queries and attribute to it the positioning that evidently it deserves it.
The easiest thing for Google would have been if users had used bookmarks correctly , but let's face it, that's nerd stuff, normal people don't bookmark interesting pages, apart from porn videos, of course. So Google had to study a more ingenious system and it did so for two reasons, the first is the one described above, that is, to determine an association between classes of queries and web pages relevant to them , the second is the need to contain as much as possible the proliferation of new questions . Already at this moment it is estimated that 3 billion queries are made per day, of which 30% have never been made before. In a scenario like this you will easily understand the need to get users to send already computed queries to the search engine. It's about saving resources, not anything.
The order in which the various suggestions are proposed "should" provide you with an indication of the greater or lesser interest of users for the specific declination of a search intention at the moment in which you observe them. From this point of view, the Google suggester can be used as an additional tool compared to Google trends to attempt to probe trends in limited areas , since Trends responds much better to dry keys than it does to keyphrases. I wrote "should" in quotation marks, because logically things are like this, but this does not mean that... The influence of YOUR research Denmark Telegram Number Data Your browser records all your movements, all your preferences, your data and your life, in short, give me access to your browser and I will tell you who you are. Google itself interfaces with your browser (so Google knows who you are , if you doubt yourself ask Google) to direct your search towards queries you've already asked in the past, assuming you want to revisit the same website. This step is crucial for determining the ranking because if the system manages to understand that many users "want" to visit the same site starting from the same classes of queries, it can establish a strong relevance of the site itself for those queries and attribute to it the positioning that evidently it deserves it.
The easiest thing for Google would have been if users had used bookmarks correctly , but let's face it, that's nerd stuff, normal people don't bookmark interesting pages, apart from porn videos, of course. So Google had to study a more ingenious system and it did so for two reasons, the first is the one described above, that is, to determine an association between classes of queries and web pages relevant to them , the second is the need to contain as much as possible the proliferation of new questions . Already at this moment it is estimated that 3 billion queries are made per day, of which 30% have never been made before. In a scenario like this you will easily understand the need to get users to send already computed queries to the search engine. It's about saving resources, not anything.