You can be sure that your answer's not quite correct because the second term is not a scalar. Let's compute it out in cartesian coordinates:
\begin{align}
\nabla\cdot(\mathbf{v}\mathbf{A}) &= \nabla\cdot(v_i A_{ij}\mathbf{e_j})\\
&= (v_i A_{ij})_{,j}\\
&= v_{i,j} A_{ij} + v_i A_{ij,j}\\
&= (v_{i,j}\ \mathbf{e_i} \otimes \mathbf{e_j}):\mathbf{A} + \mathbf{v} \cdot (A_{ij,j} \mathbf{e_i})\\
&= \nabla\mathbf{v} : \mathbf{A} + \mathbf{v} \cdot (\nabla\cdot\mathbf{A})
\end{align}
Note that $\mathbf{e_i}$ are the $3 \times 1$ basis vectors for $\mathbb{R}^3$. In light of this, $\mathbf{v}\mathbf{e_i}$ is already an inner product, but I wrote $\mathbf{v} \cdot \mathbf{e_i}$ just to be extra clear there.
You also need to be a little bit careful about how you define the divergence and gradient of your vectors/tensors (some books may show this result off by a transpose), but hopefully the definitions I've used are clear from the line immediately before the final result.