Artificial intelligence, machine learning and neural networks are big words in today’s SEO community. Vendors have highlighted the ability of these technologies to automate time-consuming tasks at scale, which can lead to more effective campaigns. However, many professionals often have trouble distinguishing these concepts. “Artificial intelligence is the word that defines the entire space,” said Eric Enge, president of Pilot Holding and former director of Perficient, in his presentation at SMX Next. "Machine learning is part of the [AI] built around specific algorithms."
Natural language processing (NLP) is another system used in SEO work in recent years. It focuses primarily on understanding the meaning of human words. “NLP is about helping computers better understand language in a human way, including its whatsapp phone number list contextual nuances,” he says. With so much advanced technology, marketers would be wise to learn how to apply them to their campaigns. Here are three ways that AI and its agencies can automate SEO work at any level. AI can respond to long -term customer needsEnge cited a customer engagement survey from.whatsapp phone number list
Bloomreach that found that 82% of the B2C customer experience is spent on search and browsing. This leaves room for many long-term searches, which are more niche in nature and, therefore, often not found by retailers. Bloomreach’s own AI tools are primarily focused on extracting information from this search process, Enge explained. It is able to identify website content that is both unused and relevant to a customer’s long -tail search. "AI improves pages by offering more relevant pages that aren't currently relevant," he says, "Or maybe creating new pages to fill in the long tail holes to create a better customer experience."