diff --git a/src/bias/MaxEnt.cpp b/src/bias/MaxEnt.cpp
index 109a0ac26366fb210de79278565af238434a7c93..c1786defa7309f7b37165418ef3fdbb4359654e0 100644
--- a/src/bias/MaxEnt.cpp
+++ b/src/bias/MaxEnt.cpp
@@ -78,6 +78,8 @@ The value of \f$ \xi(\lambda,t)\f$ is written in output as a component named: ar
 Setting \f$ \sigma =0\f$ is equivalent to enforce a pure Maximum Entropy restraint without any noise modelling.
 This method can be also used to enforce inequality restraint as shown in following examples.
 
+Notice that a similar method is available as \ref EDS, although with different features and using a different optimization algorithm.
+
 \par Examples
 
 The following input tells plumed to restrain the distance between atoms 7 and 15
diff --git a/src/eds/EDS.cpp b/src/eds/EDS.cpp
index 2e95fb8198f01ab5408688470f135c1f8728eec6..34ff47605cbe0c7196a5897508b19d93b8946f12 100644
--- a/src/eds/EDS.cpp
+++ b/src/eds/EDS.cpp
@@ -65,6 +65,8 @@ to zero with the default value of \f$s_i\f$ as this will cause a
 divide-by-zero error. Instead, set \f$s_i=1\f$ or modify the CV so the
 desired target value is no longer zero.
 
+Notice that a similar method is available as \ref MAXENT, although with different features and using a different optimization algorithm.
+
 \par Examples
 
 The following input for a harmonic oscillator of two beads will