It is perfectly reasonable to cut a hierarchical clustering tree based on visual inspection. A fixed level or distance threshold is often inadequate. If you want an automatic way of cutting the tree, you can try the R package dynamicTreeCut.
Alternatively, once you know from hierarchical clustering what kind of structure there is in your data, you could try other clustering algorithms that could automatically produce the desired clusters.