Search Engine Results Pages (SERP) are the pages displayed by search engines in response to a query by a user. The main component of the SERP is the listing of results that are returned by the search engine in response to a keyword query.
The results are of two general types, organic search (i.e., retrieved by the search engine's algorithm) and sponsored search (i.e., advertisements). The results are normally ranked by relevance to the query. Each result displayed on the SERP normally includes a title, a link that points to the actual page on the Web, and a short description showing where the keywords have matched content within the page for organic results. For sponsored results, the advertiser chooses what to display.
Due to the huge number of items that are available or related to the query, there are usually several pages in response to a single search query as the search engine or the user's preferences restrict viewing to a subset of results per page. Each succeeding page will tend to have lower ranking or lower relevancy results. Just like the world of traditional print media and its advertising, this enables competitive pricing for page real estate, but is complicated by the dynamics of consumer expectations and intent— unlike static print media where the content and the advertising on every page is the same all of the time for all viewers, despite such hard copy being localized to some degree, usually geographic, like state, metro-area, city, or neighbourhood, search engine results can vary based on individual factors such as browsing habits.[1]
Also known as 'user search string', this is the word or set of words that are typed by the user in the search bar of the search engine. The search box is located on all major search engines like Google, Yahoo, and Bing. Users indicate the topic desired based on the keywords they enter into the search box in the search engine.
In the competition between search engines to draw the attention of more users and advertisers, consumer satisfaction has been a driving force in the evolution of the search algorithm applied to better filter the results by relevancy.
Search queries are no longer successful based upon merely finding words that match purely by spelling. Intent and expectations have to be derived to determine whether the appropriate result is a match based upon the broader meanings drawn from context.
And that sense of context has grown from simple matching of words, and then of phrases, to the matching of ideas. And the meanings of those ideas change over time and context. Successful matching can be crowdsourced, what are others currently searching for and clicking on, when one enters keywords related to those other searches. And the crowdsourcing may be focused based upon one's own social networking.
With the advent of portable devices, smartphones, and wearable devices, watches and various senso
The major search engines visually differentiate specific content types such as images, news, and blogs. Many content types have specialized SERP templates and visual enhancements on the first search results page.
Also known as 'user search string', this is the word or set of words that are typed by the user in the search bar of the search engine. The search box is located on all major search engines like Google, Yahoo, and Bing. Users indicate the topic desired based on the keywords they enter into the search box in the search engine.
In the competition between search engines to draw the attention of more users and advertisers, consumer satisfaction has been a driving force in the evolution of the search algorithm applied to better filter the results by relevancy.
Search queries are no longer successful based upon merely finding words that match purely by spelling. Intent and expec
In the competition between search engines to draw the attention of more users and advertisers, consumer satisfaction has been a driving force in the evolution of the search algorithm applied to better filter the results by relevancy.
Search queries are no longer successful based upon merely finding words that match purely by spelling. Intent and expectations have to be derived to determine whether the appropriate result is a match based upon the broader meanings drawn from context.
And that sense of context has grown from simple matching of words, and then of phrases, to the matching of ideas. And the meanings of those ideas change over time and context. Successful matching can be crowdsourced, what are others currently searching for and clicking on, when one enters keywords related to those other searches. And the crowdsourcing may be focused based upon one's own social networking.
With the advent of portable devices, smartphones, and wearable devices, watches and various sensors, these provide ever more contextual dimensions for consumer and advertiser to refine and maximize relevancy using such additional factors that may be gleaned like: a person's relative health, wealth, and various other status, time of day, personal habits, mobility, location, weather, and nearby services and opportunities, whether urban or suburban, like events, food, recreation, and business. Social context and crowdsourcing influences can also be pertinent factors.
The move away from keyboard input and the search box to voice access, aside from convenience, also makes other factors available to varying degrees of accuracy and pertinence, like a person's character, intonation, mood, accent, ethnicity, and even elements overheard from nearby people and the background environment.
Searching is changing from explicit keywords: on TV show w, did x marry y or z, or election results for candidate x in county y for this date z, or final scores for team x in game y for this date z to vocalizing from a particular time and location: hey, so who won. And getting the results that one expects.
Organic SERP listings are the natural listings generated by search engines based on a series of metrics that determine their relevance to the searched term. Webpages that score well on a search engine's algorithmic test show in this list. These algorithms are generally based upon factors such as quality and relevance of the content, expertise, authoritativeness, and trustworthiness of the website and author on a given topic, good user experience and backlinks.[3]
People tend to view the first results on the first page.[4] Each page of search engine results usually contains 10 organic listings (however some results pages may have fewer organic listings). According to a 2019 study,[4] Each page of search engine results usually contains 10 organic listings (however some results pages may have fewer organic listings). According to a 2019 study,[5] the CTR's for the first page goes as follows:
Every major search engine with significant market share accepts paid listings. This unique form of search engine advertising guarantees that your site will appear in the top results for the keywords you target. Paid search listings are also called sponsored listings and/or Pay Per Click (PPC) listings.
Rich snippets are displayed by Google in the search results pages when a website contains content in structured data markup. Structured data markup helps the Google algorithm to index and understand the content better.
Google supports rich snippets for the following data types:&# Rich snippets are displayed by Google in the search results pages when a website contains content in structured data markup. Structured data markup helps the Google algorithm to index and understand the content better.
Google supports rich snippets for the following data types:[6]
Featured Snippet is a summary of an answer to user's query. This snippet appears at the top of organic results on SERP. Google supports the following types of featured snippets:[7]
Search engines like Google or Bing have started to expand their data into Encyclopedia and other rich sources of information.
Google for ex Search engines like Google or Bing have started to expand their data into Encyclopedia and other rich sources of information.
Google for example calls this sort of information "Knowledge Graph", if a search query matches it will display an additional sub-window on right hand side with information from its sources.[8][9]
Information about the product (example Nike), hotels, events, flights, places, businesses, people, books and movies, countries, sports groups, architecture and more can be obtained that way.
Major search engine Google for example calls this sort of information "Knowledge Graph", if a search query matches it will display an additional sub-window on right hand side with information from its sources.[8][9]
Information about the product (example Nike), hotels, events, flights, places, businesses, people, books and movies, countries, sports groups, architecture and more can be obtained that way.
Major search engines like Google, Yahoo!, and Bing primarily use content contained within the page and fallback to metadata tags of a web page to generate the content that makes up a search snippet.[10] Generally, the HTML title tag will be used as the title of the snippet while the most relevant or useful contents of the web page (description tag or page copy) will be used for the description.
Knowledge Graph
Generation
Scraping and automated access