Google search engine is made of hardcore algorithm which analyses various factors to match the highest possible result for the query it receives. Every time when a user searches for a particular query, the algorithm goes through a different level of process and provides us the possible result. Let us see the different levels of the process involved in detail.

What does the query mean?

In order to get the relevant results for your query, Google first tries to understand the intent behind every query. The intent of the query is analyzed by understanding the language and other aspects of the search.

Google has built language models that will covert the strings of words in the way they look up in the index. It involved analyzing spelling mistakes and extends up to understanding the query by applying the latest research on natural language understanding.

For Example: Consider a query like”How to change a door”, Google algorithm has the ability to match the query with pages describing “how to replace a door”

The ability of the google algorithm is not just limited to analyzing synonyms, it has got the capability to understand whether the query is specific or broad, language-specific, category of search(e.g. opening hours, reviews, pictures, and maps..etc.) and also whether are you looking for nearby or local info.

Google freshness algorithm helps users to get the latest information also(e.g. Best digital marketing companies in 2019). Google brings the latest contents available for this query from sites which best suitable for this query. Google’s freshness algorithm uses the Caffeine web indexing system which crawls and indexes the web for fresh content quickly on a large scale.

Webpage relevancy

Once Google algorithm finishes analyzing the search query, now it tries to match with the right results, Google selects the webpages by analyzing the keywords availability in the pages, the keywords in the header and body are considered to be important for matching the query, It is not just an ordinary keyword matching it anonymously interact with data and transform that data into signals that help google machine-learned systems better estimate relevance.

Also, Google’s advanced machine learning has the ability to provide more relevant information related to the query. For example: If you are searching for “where to buy dogs” it will automatically provide suggestions based on various data like “where to buys dogs in Chicago” it captures the location information of yours and shows you relevant additional information.

Content quality

Search algorithms prioritize the most reliable sources available. In order to prioritize the web sources, google identify signals that can help determine which source has got higher expertise, page authority, and trust.

Google looks for sites that many users value for similar queries, for example when analyzing for a french keyword “conseil en achats” which is meant for procurement consulting in french. It shows results from a french consulting firm called KEPLER Consulting and also some other consulting firms in the french language.

Google values web pages in terms of PageRank , it is provided on basis of prominent websites linking to your page relevant to a keyword, it is considered to be a good sign the information is well trusted.

At the same time, google spam algorithms make sure bad SEO practices do not make an impact on a google search result, Webpages that get unworthy links from phishing sites will consider as spam and it makes sure it does not comes up in the search results. 

Google’s webmaster guidelines outline the techniques that characterize such low-quality spam sites, including buying links that pass PageRank or sneaking invisible text onto the page.

Usability of webpages

Google Search also considers whether webpages are easy to use. Google always prioritizes users to provide them a wonderful experience. Google algorithms analyze signals that indicate below signals

Finally Context and settings

Google uses information related to location and your search settings in order to provide that is relevant to your preferred location and your search preference. For example, if you search for “Outdoor games near me” Google will try to recommend game events that it thinks you may be interested in. 

Location wise,  For instance, if you search for “India” and recently searched for “India vs Australia”, that could be a clue that you want information about the cricket club, not the city.

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