Choose the smallest useful answer system.

Ask what was measured, against which sources and under which conditions before using a vendor’s result in your buying decision.

A documentation chatbot assembles answers from a selected body of material. Its usefulness depends on the sources, the question and the checks around the answer.

SiteGPT is worth evaluating for a contained public-documentation corpus; choose it only after your own answer, citation and operating-cost checks.

Compare model-weighted messages, source capacity and refresh needs together; a quoted monthly price alone does not describe your workload.

Compare the same sources and held-out questions; DocsBot’s broader scope may matter more than SiteGPT’s focused website workflow.

A public documentation assistant and an action-taking service agent have different acceptance boundaries; compare only the job you actually need.

Choose chat when synthesis helps a real reader task; improve search when the problem is finding a clear existing answer.

Test the assistant you already have before adding another source collection and subscription.

Choose an alternative by source and operating requirements, including the option of no new chatbot.