If you need a system that uses AI to generate content recommendations and get people to engage with your website, Recombee is a good option. This AI-powered real-time recommender service has a simple RESTful API and SDKs for easy integration into many different businesses. It personalizes interactions to keep people engaged and to encourage sales through real-time recommendations, search and analytics. The service lets you control the recommendation engine with custom filters and boosters, and it's designed to scale to very large sizes, with more than a billion recommendations per day.
Another good option is Contextly, which is geared specifically for publishers trying to get readers to become customers. Contextly uses machine learning to suggest posts, and it's got features like subscription channels, evergreen story detection and sidebars for related posts. It's designed to work with customizable and mobile-responsive layouts, and it can generate analytics reports to help you gauge performance. That makes it a good option for keeping people engaged and optimizing content recommendations.
If you want technology that can offer a wider variety of personalized experiences, RichRelevance could be a good fit. The company's platform offers personalized customer experiences across web, mobile and in-store interactions through the use of advanced analytics and machine learning. It offers personalized recommendations, content and search, and has shown a 89% increase in conversion rates and 367% increase in return on investment. RichRelevance counts more than 200 global companies across many industries as customers and makes more than a billion decisions a day.
Last, Contents offers a generative AI-powered content creation platform that uses large language models and knowledge graphs to generate highly personalized content. It can be integrated with CMS and CRM systems to automate workflows and ensure content is relevant. The platform is designed for e-commerce sites, publishers and digital marketing agencies, and can be used to generate unique product descriptions, analyze trends and create a wide variety of content types. It can handle hyper-personalization and multi-language content creation, making it a good option for boosting user engagement with personalized content.