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This project focuses on exploring the use of large language models (LLMs) to assess how accessible web content is to specific user groups. As LLMs are capable of dealing with different types of content, they could be used to identify accessibility issues in both text and the structure of the website (e.g. code of a website), providing a single pipeline for accessibility assessment. The methodology involves analyzing the existing text and web accessibility guidelines, collaborating with accessibility compliance professionals and collecting data from websites of high societal relevance. This will inform the development of prompting and fine-tuning strategies for assessing accessibility issues. Overall, this research project aims to explore a novel method for assessing web content accessibility by leveraging the multimodal capabilities of LLMs and providing an easy-to-use tool for accessing accessibility of societally relevant websites