share tweet share pin it e-mail share What does it actually mean when we say that Google uses Machine Learning algorithms? In our latest Unwrapping the Secrets of SEO, guest contributor Olaf Kopp explains what exactly this refers to and where neural networks are applied in Google Search. Webmasters and SEOs take heed: you’re key to helping provide Google’s algorithms with training data. This article is the last in my series on Machine Learning. The previous Unwrapping posts can be found here: Part 1: How Google Interprets Search Queries Part 2: It’s All Semantic For Google Search Part 3: How Does Google’s Knowledge Graph Work? Unwrapping the Secrets of SEO As discussed in the article, The Semantic Web (German), systems based on the innovations of Web 2.0, which make information identifiable, categorizable, measurable and sortable according to context, are the only way to get on top of the flood of information and … [Read more...] about Machine Learning’s Role in Google Search
Googles ai powered predictions
The use of artificial intelligence (AI) has permeated the mainstream, as companies like Apple, Microsoft, Amazon and Google work diligently to make voice commands and voice search integrative parts of their OS and user experience. AI’s applications in the search engine optimization (SEO) world are continuing to expand to new horizons. Many have likely heard of the Y Combinator-backed RankScience, which uses thousands of A/B tests to determine how best to positively influence search engine rankings. Complete handling of SEO from AI is likely not going to catch on quickly, however, and there isn’t software currently that handles many of the important aspects of SEO. While no software exists that leverages AI to build links, we can nonetheless use multiple types of software for various stages of the link building process, including: data collection, by using natural language processing to determine if the sites are contextually relevant and keyword relevant. site analysis, to … [Read more...] about How to use AI for link building and improve your search rankings
Post Intelligence, based in San Francisco, was founded in 2015 as MyLikes by ex-Google execs Bindu Reddy and Arvind Sundararajan. The company is rebranding under the new name, as it unveils a beta of its new intelligent social marketing app for Web and Android, called Pi. Pi tracks social trends and a user’s history of social posts to predict engagement (e.g., likes and shares), recommend content, learn what works, and even generate posts. The company said it constructs a deep neural network for each user’s social media feed to build custom models of engagement prediction. The engagement is predicted as 0 to 10, with 0 showing little engagement, 5 a typical amount and 10 a boost. Reddy told me that Pi can accurately predict 85 percent of the time whether engagement will be less, typical or boosted, with an 80 confidence threshold. [Read the full article on MarTech Today.] About The Author Barry Levine covers marketing technology for Third Door Media. Previously, he … [Read more...] about This new AI-powered social marketing tool can predict engagement or write the post for you
Artificial intelligence, or AI, has been a trending topic in the search engine optimization industry. It’s also widely misunderstood. A lot of the widely-held beliefs about AI are based on speculation, surmised from patents and search engine behavior. Unfortunately, speculation frequently leads to fear — and fear sometimes empowers the industry’s con artists. I wonder how long it will be before we start seeing practitioners claiming to offer “AI-proof” SEO services. The most important thing to understand about AI is that it is not a static formula to solve. It’s a constantly evolving system designed to identify, sort, and present the data that is most likely to meet the needs of users at that specific time, based on a multitude of variables that go far beyond just a simple keyword phrase. AI is trained by using known data, such as: content links user behavior trust citations patterns and then analyzing that data using user experience, big data, and … [Read more...] about How AI Will Transform the Landscape of Search
Between the long-awaited rollout of Penguin 4.0, a strengthening of Google’s mobile-friendly ranking signal and the ‘Possum’ algorithm update impacting local search, 2016 was an interesting year for Google algorithm changes. And with an upcoming move to a mobile-first search index already on the cards, as well as a penalty for intrusive mobile interstitials coming into effect on the 10th, 2017 promises to be just as eventful. Looking back at 2016, which algorithm changes were the most impactful for marketers in the industry? And how can brands best prepare themselves for what might be around the corner? I spoke to Sastry Rachakonda and Ajay Rama of digital marketing agency iQuanti, along with Search Engine Watch’s regular mobile columnist Andy Favell, to get their thoughts on what’s to come in the search industry. The most impactful algorithm updates of 2016 “Mobile-first indexing is probably the most significant change that happened this … [Read more...] about Which Google algorithm changes impacted marketers most in 2016 – and what can we expect from 2017?