Rotwatch

Support teams increasingly rely on AI answers and knowledge articles assembled from product, pricing, policy and configuration sources that change on different schedules. Rotwatch proposes a citation graph between those sources and the support artifacts that depend on them. When a monitored representation changes, it identifies potentially affected claims and opens a bounded review task. The supplied research confirms a recently launched monitoring capability with scheduled checks, structured diffs and webhook delivery. It did not find a standalone product that closes the loop from source change to specific cited answer, but a limited search does not prove an empty market.

A changed page is not necessarily a changed policy. Layout, tracking parameters, localization, experiments and generated timestamps create noise. Conversely, a source can change without the monitor seeing the relevant authenticated or regional representation. A semantic-difference model can miss scope, effective date and exceptions. A citation edge identifies dependency, not factual invalidity. Automatically deleting or rewriting answers can make support less accurate and destroy evidence of what customers previously saw.

Source authority, permitted monitor, retrieved representation, capture time, raw diff, normalized change, material-change candidate, citation edge, impacted-claim candidate, reviewer finding, correction proposal, owner approval, publication acknowledgment, public readback and customer outcome remain separate. Rotwatch should be a review and evidence system first. Its moat and demand are not yet proven, and the only referenced monitoring interface must be verified in the target environment before live use.

A support operations, knowledge or customer-success leader responsible for AI-assisted answers across a changing product and currently reconciling source updates manually.