We present the first version of the Visual Argument Structure Tool (VAST) which may be used for jointly visualizing the conceptual, logical and empirical relationships that structurally constitute arguments. The system incorporates some basic principles of structural equation modelling (SEM), but goes beyond SEM in important ways: It distinguishes between the features of objects and the names that may be used for those features. It also distinguishes several ways in which features may be related to one another (causation, conceptual implication, prediction, transformation, conclusion), and all of these from beliefs as to whether something IS the case and/or OUGHT to be the case. The system also accounts for multi-dimensionality, for different perspectives on the same issues, and allows for any degree of vagueness vs. precision deemed possible and/or necessary. The latter feature may make it particularly useful for visualizing narrative (“verbal”) components of argument structures, which are very common in the humanities but also in psychology. VAST may be used to increase the level of argument specification in these fields, which has been repeatedly called for. As for application, the system may be used to capture the structure of arguments in (e.g.) criminal investigations and media reports, but also of general worldviews and of debates. Visualizing argument structures this way is useful because it helps ensure comprehensiveness (i.e. any element and any combination of elements may be evaluated against all other elements), which facilitates the identification of contradictions, circularity, redundancy, and gaps that may otherwise be overlooked. It may also help improve on the accessibility of arguments to a wider audience.