Edit: The following is a better lower estimate.
A lower estimate here is for positive $x$,
$$
\sum_{m, n\leq x} \frac1{\tau(mn)}
$$
where $\tau(n)=\sum_{d|n}1$ is the number of divisors of $n$. This is because $\tau(mn)$ counts all possible choice of positive integers $d, k$ with $dk=mn$, not just the ones with $d\leq x, k\leq x$.
Such estimate can be given through Selberg & Delange Method. The method is shown in Tenenbaum's book Introduction to Analytic and Probabilistic Number Theory (Chapter 5, 6).
The following is in Page 207 Theorem 8 of Tenenbaum's book.
Theorem
Let
$$
h=\prod_p \sqrt{p(p-1)}\log\left(1-\frac1p\right)^{-1}.
$$
Then uniformly for $x\geq 2$, $d\geq 1$, we have
$$
\sum_{n\leq x} \frac 1{\tau(nd)}=\frac{hx}{\sqrt{\pi\log x}}\left(g(d)+O\left( \frac{(3/4)^{w(d)}}{\log x}\right)\right)
$$
where $g$ is an arithmetic function satisfying
$$
\sum_{d\leq x} g(d)=\frac x{h\sqrt{\pi\log x}}\left(1+O\left(\frac1{\log x}\right)\right).
$$
Applying this theorem on the estimate, we obtain
$$
\begin{align}
\sum_{m,n\leq x} \frac1{\tau(mn)} &=\frac{hx}{\sqrt{\pi\log x}}\left(\frac x{h\sqrt{\pi\log x}}+O\left(\frac x{\log^{3/2} x}\right)+O\left(\frac{\sum_{d\leq x}(3/4)^{w(d)}}{\log x} \right)\right)\\
&=\frac{hx}{\sqrt{\pi\log x}}\left(\frac x{h\sqrt{\pi\log x}}+O\left(\frac x{\log^{3/2} x}\right)+O\left(\frac{x\log^{-1/4}x}{\log x} \right)\right)\\
&=\frac{x^2}{\pi \log x}+O\left(\frac {x^2}{\log^{7/4} x}\right)
\end{align}.
$$