In this article, I will share my findings while attempting to use neural networks to describe the content of images. Images greatly contribute to a website's SEO and improve the overall user experience. Fully optimizing images is about helping users, and search engines, better understand the content of an article. The SEO community has always been quite keen in recommending publishers to invest on visual elements and this has become even more important in 2019 as Google keeps on revamping Google Image Search by adding new filters and new functionalities. There are several aspects that Google mentions in its list of best practices for images but the work I've been focusing on, for this article, is about providing alt text and captions in a semi-automated way.

Machine learning (ML) is a subfield of Artificial Intelligence for the studying of algorithms that computer systems can use to derive knowledge from data. Machine learning algorithms are used to build mathematical models of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In this blog, we focus on the use of machine learning for search engine optimization, natural language processing, knowledge graph and structured data. Make Your Website Smarter with AI-Powered SEO: just focus on your content and let the AI grow the traffic on your website!