Latest News About SEO

Google’s Knowledge Graph

Google’s Knowledge Graph – an impressive database of people, places and things – is an integral component of its search engine. Combining synonyms, context and natural language processing techniques with natural language understanding algorithms to accurately pinpoint user intentions and provide immediate knowledge from search queries is its central aim.

Information retrieved by this system comes from authoritative sites, including Wikipedia and Wikidata, while Schema markup is used as well. Its most visible manifestation is a “knowledge panel” in search results on both desktop computers and mobile devices.

Google’s Knowledge Graph differs significantly from Wolfram Alpha in that it presents facts rather than statistics and calculations. To increase your chances of making the Knowledge Graph, include as much relevant information in your content as possible to increase its chances of inclusion – you may just end up with more accurate and credible results for your efforts!

Google’s Featured Snippets

Google’s algorithm is constantly shifting; sometimes its changes involve minor tweaks while other seem more drastic. One recent change that has received significant media coverage is featured snippets.

Featured Snippets are search listings that appear after ads and local packs but before organic results. Their purpose is to quickly respond to queries with more information than traditional results provide.

A Featured Snippet can increase traffic and brand visibility, as well as take away clicks from pages ranking as top organic results. Therefore, optimizing pages for keywords associated with Featured Snippets is key.

Google’s BERT Natural Language Processing Algorithm

Google’s BERT algorithm is an innovative natural language processing algorithm intended to improve search engine results. While previous word embedding models such as GloVe and word2vec were one-dimensional solutions that simply translated words to vectors, BERT interprets its meaning based on its context – meaning both prior words as well as post ones must be considered when understanding meaning of an unfamiliar word in context.

BERT can handle more than 11 NLP tasks simultaneously and is much more powerful than previous models; making it the ultimate all-purpose NLP toolbox.

BERT will understand a query such as, “do estheticians stand a lot”, to be about physical demands and provide more relevant results. BERT is now being implemented across English searches and will have an impactful result for both search results and featured snippets.

Google’s Hummingbird Update

Google is constantly altering its algorithm, with Hummingbird (released in 2013) often seen as its biggest update since 2004. While Panda and Penguin updates were simply modifications tagged onto core algorithms, Hummingbird represented a complete overhaul.

Focusing on semantic search – which seeks to understand the meaning behind searches rather than simply searching for specific keywords – Google was able to better compare results and filter out spammy queries, improving comparison and eliminating potential spambot queries.

Google updated its algorithms in 2010 to allow better comprehension of context and relationships between words, which allowed for easier voice searches and long-tail queries, local searches that focused on business locations and took user intent into consideration for local searches. This update marked Google’s first algorithm that took into account user intent.

Google’s In-Depth Articles

Google In-Depth Articles gives greater exposure to longer articles containing evergreen information written by credentialed authors or published by respected publications.

They are evaluated based on quality, authority, citations and social love. Furthermore, content structure and pagination analysis is conducted. Publishers should use rel=prev and rel=next when formatting long articles to save space while marking up authorship using Google Plus profiles as well as organization markup to display logos in search results.

Securing media attention could have long-term ramifications for your business and ensure it remains on potential customer screens worldwide. It also gives your online image exposure.