Let $A \in \mathbb{R}^{n \times n}$. Is $A=aI$, where $a \in \mathbb{R}$, the only class of matrices such that $$AX=XA^T,\quad \forall X\in\mathbb{R}^{n \times n},~X\text{ symmetric}?$$
Characterization of matrices such that $AX=XA^T$
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As @Delta-u said, with $X=I_n$, you get $A=A^T$. By the spectral theorem, there is an orthogonal matrix $P$ and a diagonal matrix $D$ such that $P^TDP=A$.
Making the change of variables $Y=P^TXP$, we see that $D$ must commute with any symmetric matrix $Y$. Write $D=diag (d_1,\ldots, d_n)$. Assume that $D$ has two different entries. Conjugating by a suitable transposition matrix (which is orthogonal), we may assume that $d_1\neq d_2$ without any loss of generality.
Then the block diagonal symmetric matrix $Y=\begin{pmatrix}0 & 1 & \cr 1 & 0 & \cr & & I_{n-2}\end{pmatrix}$ does not commute to $D$, hence a contradiction. Therefore, $D=d I_n$. Now $A=dP^TP=dI_n$ since $P$ is orthogonal.
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Put $X=I$, we see that $A$ is symmetric. Put $X=vv^T$ for some $v\ne0$, we see that $(Av)v^T=vv^TA=vv^TA^T=v(Av)^T$. Hence $Av$ is a scalar multiple of $v$. That is, $A$ is a matrix such that every nonzero vector is its eigenvector. In general, the only matrices (symmetric or not) with this property are the scalar matrices.
To explain with more precision my answer:
Taking $X=I$ the problem becomes the following:
What can be said of $A$ if $AX=XA$ for all symmetric matrix $X$ ?
For any symmetric matrices $X_1$ and $X_2$ you have: $$A(X_1 X_2)= X_1 A X_2=(X_1 X_2) A$$ But for any $B \in \mathbb{R}^{n \times n}$ there exists $X_1, X_2$ symmetric matrices such that $B=X_1 X_2$ (see for example here).
So $AB=BA$ for all $B \in \mathbb{R}^{n \times n}$ and then $A= a I$.