  The ARIEL Space Telescope will provide a large and diverse sample of
exoplanet spectra, performing spectroscopic observations of about 1000
exoplanets in the wavelength range $0.5 \to 7.8 \; \mu m$. In this paper, we
investigate the information content of ARIEL's Reconnaissance Survey low
resolution transmission spectra. Among the goals of the ARIEL Reconnaissance
Survey is also to identify planets without molecular features in their
atmosphere. In this work, (1) we present a strategy that will allow to select
candidate planets to be reobserved in a ARIEL's higher resolution Tier; (2) we
propose a metric to preliminary classify exoplanets by their atmospheric
composition without performing an atmospheric retrieval; (3) we introduce the
possibility to find other methods to better exploit the data scientific
content.
