  Context. In less than a year practitioners and researchers witnessed a rapid
and wide implementation of Generative Artificial Intelligence. The daily
availability of new models proposed by practitioners and researchers has
enabled quick adoption. Textual GAIs capabilities enable researchers worldwide
to explore new generative scenarios simplifying and hastening all timeconsuming
text generation and analysis tasks.
  Motivation. The exponentially growing number of publications in our field
with the increased accessibility to information due to digital libraries makes
conducting systematic literature reviews and mapping studies an effort and
timeinsensitive task Stemmed from this challenge we investigated and envisioned
the role of GAIs in evidencebased software engineering.
  Future Directions. Based on our current investigation we will follow up the
vision with the creation and empirical validation of a comprehensive suite of
models to effectively support EBSE researchers
