Let $\zeta(t)$ be a process with independent increments and $M(t)=E(\exp(\zeta(t))) < \infty $, show that $M(t)^{-1}\exp(\zeta(t))$ is a martingale.
So what I need to show is
$$E(M(t)^{-1}\exp(\zeta(t))|F_s)= M(s)^{-1}\exp(\zeta(s))$$
What I've tried so far: \begin{align} E(M(t)^{-1}\exp(\zeta(t))|F_s) &= M(s)^{-1}\exp(\zeta(s)) \\ &= E(M(t)^{-1}\exp(\zeta(t)+\zeta(s))|F_s).\exp(-\zeta(s)) \end{align}
but I don't know whether this step helps in any way?
(This is not a homework nor an assignment, just found old exams, which I'm trying to solve.)