What is the relationship between virtual assistants, algorithms, snippets and voice searches?
Posted: Mon Dec 23, 2024 9:12 am
Virtual Assistants
To a large extent, the change that mobile search has experienced is determined by the technological development of the devices.
Although the development of algorithms and artificial intelligence systems by search engines has also had something to do with it.
To this end, the major technology giants have developed their own virtual assistants to offer users an increasingly satisfying experience.
In this sense, the first of them was Apple's SIRI, a technology that paved the way for the rest: Cortana (Windows), Alexa (Amazon), DurOs (Baidú) and Assistant (Google).
Voice Search - Assistants
It is important to note at this point that most of these technologies generally use the results offered by the main search engine on the market, Google, as a source of online information.
Therefore, it is essential to understand how its algorithm works in order to understand the search results it offers and to be able to find a clear trend that can be used in a brand's online marketing and communication strategy.
Within the Google search engine, there are several cogs that work together to deliver the best possible search result for the search performed.
Rankbrain
RankBrain is a self-learning artificial intelligence system.
Yes, what you read, he learns by himself.
It brings together huge amounts of textual content and transforms them into mathematical elements (called vectors) that can be understood by the computer.
This way, RankBrain can find a familiar search term or phrase and match it with others.
Additionally, it can guess what other words or phrases might have a similar meaning and filter results based on this, thereby predicting the correct results for open-ended or ambiguous searches with different possible interpretations.
This is because voice searches can be interpreted in a way that entails a greater margin of error for a machine that is guided by literal logical terms, and therefore it is necessary to refine the operation of the search engine in order to offer logical results.
Google always required human programming behind the scenes to prevent these types of problems, until RankBrain came along.
RankBrain works as a link between specific, more complex long-tail searches and the search for relevant results for them.
For many specialists, RankBrain represents the third major positioning factor, after content and links, to be taken into account in order to achieve a good position.
For this reason, special attention must be paid to the evolution of this technology a email list of australia nd its influence over the coming years if a content marketing and SEO campaign is to be successful.
Voice Search - Rankbrain
To do this, it will be necessary to work largely on the long tail of a broader search term with differentiated pages (blog posts, categories, subcategories, products-services, internal pages, landing pages, etc.) in which the different related questions that may arise for a term with a broad or unclear search intent are answered.
Also create very complete content on a single page about the long tail, trying to adapt the content at all times to what the user would expect to find, in order to have more options to offer the exact information and achieve optimal positioning of the content.
To a large extent, the change that mobile search has experienced is determined by the technological development of the devices.
Although the development of algorithms and artificial intelligence systems by search engines has also had something to do with it.
To this end, the major technology giants have developed their own virtual assistants to offer users an increasingly satisfying experience.
In this sense, the first of them was Apple's SIRI, a technology that paved the way for the rest: Cortana (Windows), Alexa (Amazon), DurOs (Baidú) and Assistant (Google).
Voice Search - Assistants
It is important to note at this point that most of these technologies generally use the results offered by the main search engine on the market, Google, as a source of online information.
Therefore, it is essential to understand how its algorithm works in order to understand the search results it offers and to be able to find a clear trend that can be used in a brand's online marketing and communication strategy.
Within the Google search engine, there are several cogs that work together to deliver the best possible search result for the search performed.
Rankbrain
RankBrain is a self-learning artificial intelligence system.
Yes, what you read, he learns by himself.
It brings together huge amounts of textual content and transforms them into mathematical elements (called vectors) that can be understood by the computer.
This way, RankBrain can find a familiar search term or phrase and match it with others.
Additionally, it can guess what other words or phrases might have a similar meaning and filter results based on this, thereby predicting the correct results for open-ended or ambiguous searches with different possible interpretations.
This is because voice searches can be interpreted in a way that entails a greater margin of error for a machine that is guided by literal logical terms, and therefore it is necessary to refine the operation of the search engine in order to offer logical results.
Google always required human programming behind the scenes to prevent these types of problems, until RankBrain came along.
RankBrain works as a link between specific, more complex long-tail searches and the search for relevant results for them.
For many specialists, RankBrain represents the third major positioning factor, after content and links, to be taken into account in order to achieve a good position.
For this reason, special attention must be paid to the evolution of this technology a email list of australia nd its influence over the coming years if a content marketing and SEO campaign is to be successful.
Voice Search - Rankbrain
To do this, it will be necessary to work largely on the long tail of a broader search term with differentiated pages (blog posts, categories, subcategories, products-services, internal pages, landing pages, etc.) in which the different related questions that may arise for a term with a broad or unclear search intent are answered.
Also create very complete content on a single page about the long tail, trying to adapt the content at all times to what the user would expect to find, in order to have more options to offer the exact information and achieve optimal positioning of the content.