Microsoft created the AI-model Prometheus to combine the Bing index, ranking, and answers in search results with OpenAI's GPT, giving the company near real-time content and data for training models. There has been much discussion around search engine optimization (SEO) professionals creating content from ChatGPT-type models, but who is planning to use this? Some 58% of enterprise marketers plan to use artificial intelligence (AI) to for SEO and to create content in 2023, but only 10% actively use it today to drive content generation, according to data from BrightEdge, which surveyed more than 250 enterprise marketers about their thoughts on SEOs and the future of search, AI, and content generation. This means that 58% plan to use AI for SEO this year. People, in general, have started to experiment with using AI to create content.

As search engine optimization (SEO) continues to evolve, artificial intelligence (AI) has become an essential tool for SEO professionals. With the ability to analyze vast amounts of data and identify patterns that humans cannot, AI is changing the game when it comes to SEO. In a new article released by Seo First Steps, a provider of digital marketing solutions, the company explores the best ways to use AI in SEO. The article unveils seven essential techniques that SEO professionals must use to unlock the full potential of their SEO efforts. The techniques include conducting keyword research, content creation, on-page optimization, link building, predictive analytics, image and video optimization, and user experience (UX) analysis.

Artificial intelligence has taken over the SEO industry in recent months. With the emergence of AI-driven tools like ChatGPT, which can understand and perform all kinds of (SEO) tasks, an ever-lasting question is once again finding its way into lots of headlines: Is the SEO industry dying? First, if you're impressed with ChatGPT and think it may be threatening SEO, you may be surprised to know that according to the tool itself, the SEO industry is going to be just fine: AI may change the way SEO is done, but it is unlikely to replace the entire profession. While AI can automate certain aspects of SEO, such as keyword analysis and technical site audits, it still requires human expertise and creativity to develop and implement effective strategies. Additionally, search engines themselves are constantly evolving and becoming more sophisticated, making them a moving target for AI to keep up with.

Very often as SEO professionals we need to check Websites' categorization data for certain domain and there is a very useful online service for web developers and SEO professionals on "WhoisXML API" that provides Domain & IP Data Intelligence for Greater Enterprise Security. Using it's APIs you can perform many handy data requests, for example you can Websites' category data for a certain website. You will obtain ready to use parsed contact categorization using machine learning (ML) engine which scans a website's content and meta tags and extracts text to classify the site and assign the top Internet Advertising Bureau (IAB) categories applicable to it with associated confidence scores with help of natural language processing (NLP). This Python script below will use information from "WhoisXML API" and provide you a result in a JSON format without the need to use web browser. Getting websites' category data can be easily automated now!

The march of time is inevitable. Whether the horse and buggy are replaced by the automobile or the slide rule is replaced by the calculator, everything eventually becomes obsolete. And if you listen to the rumors, this time around, it's search engine optimization. Rest in peace, SEO: 1997-2022. SEO is still alive and kicking. It's just as relevant today as it has ever been.

The global datasphere will grow from 33 zettabytes (each equal to a trillion gigabytes) in 2018 to 175 ZB by 2025. In marketing, our role as the stewards of much of this data is growing, as well. As of last year, more data is being stored in the enterprise core than in all the world's existing endpoints, according to a report by IDC. The great challenge for marketers and SEO professionals is activating and using that data. In 2025, each connected person will have at least one data interaction every 18 seconds and nearly 30% of the world's data will need real-time processing.

The list of mind-numbing SEO tasks that can be automated continues to grow and I'm eager to see more automation applications shared in the community. Given the positive reception of my practical introduction to Python column and the growing importance of machine learning skills, I decided to write this machine learning piece, which I've tried to make super easy to follow. I coded a simple to follow Google Colab notebook that you can use to produce a custom training dataset. This dataset will help us build a CTR predictive model. However, instead of using our model to predict the CTR, we will use it to learn if adding keywords to the title tags predicts success.

A couple of years back, Google uses rule-based logic to rank the websites where keyword hacks, legitimate backlinks, and content was enough to get to the top. Later, the era of opacity begins when the search giant brought revolutionary changes to the algorithms that are little-to-impossible for the SEO experts to exploit. Just major announcements like- switch to mobile indexing, emphasis on quality content, authoritative backlinks that add value to the user were revealed in public. It was the biggest shock to the SEO world that was even considered as black magic. And, Google continued to update its algorithm and pretty tight-lipped for the updates.

In the recent past, we have been hearing a lot about machine learning, but do we really know what is machine learning? And how it can change the organic search results? What role will it play in the near future? If you're still not sure how machine learning is affecting the way SEO is done today, below is given a detailed guide for beginners. Being the top-rated SEO consulting services provider, Source Soft Solutions can provide you an impeccable range of machine-learning-based SEO services. From conceptualization to execution, we will work with you in implementing your new digital marketing strategy.

It's not uncommon for marketers and business owners to think of Marketing Automation as a scary, unreachable process. The term itself sounds a little futuristic, overwhelming and something perhaps only large enterprises are capable of applying. Well, you'll be glad to know that clever Marketing Automation needn't be ridiculously difficult. The trick is: To first know exactly what you can / need to automate, which relatively affordable tools to use, and then how to action them for outstanding results. I'm going to show you 3 nifty hacks to: In addition to automating recurring (and sometimes mundane) biz tasks, think of Marketing Automation as (typically) multiple pieces of software talking to each other, taking your website visitors through a seamless, semi-autonomous journey of nurturing until they become customers -- before another nurturing process begins, and so on.