  In this study, we conducted a comparative analysis of the automated coding
provided by three Artificial Intelligence functionalities (At-las.ti, ChatGPT
and Google Bard) in relation to the manual coding of 12 research interviews
focused on Landscape Quality Objectives for a small island in the north of Cuba
(Cayo Santa Mar\'ia). For this purpose, the following comparison criteria were
established: Accuracy, Comprehensiveness, Thematic Coherence, Redundancy,
Clarity, Detail and Regularity. The analysis showed the usefulness of AI for
the intended purpose, albeit with numerous flaws and shortcomings. In summary,
today the automatic coding of AIs can be considered useful as a guide towards a
subsequent in-depth and meticulous analysis of the information by the
researcher. However, as this is such a recently developed field, rapid
evolution is expected to bring the necessary improvements to these tools.
