Last year I watched an AI engine praise a client in one sentence and cite only their competitors in the next. The client was thrilled to be "mentioned." I was not, because a mention you cannot trace back to your own URL is applause with no door behind it.
That gap is the whole problem with AI search, and almost nobody is measuring it. A brand mention is when the model says your name. A citation is when it attributes the answer to a page on a domain you own. Mentions feel nice and disappear. Citations compound, because every one sends the engine and the reader back to a property you control.
We build AI-marketing agents at Humanswith.ai, and we run the same loop for clients every week: measure, produce, optimize, design. This year I open-sourced the core of it. Four small tools, MIT-licensed, no account, no API keys, that are the honest skeletons of the agents inside our hosted Workspace. The Workspace runs the loop at scale. The free tools hand you the method.
TL;DR — one tool per step:
ai-visibility-probe-lite — measure mention-share versus citation-share across engines.
