Jumpix AI Visibility checks every answer against the brand facts you enter: name, website, category, audience, key facts and pricing summary. When an engine quotes an old price, a closed branch or a restriction that doesn't exist, the statement is flagged as an accuracy issue with the answer it came from.
The same brand facts are used to recognise your brand in answers and to judge accuracy.
Usually from old pages, directories and reviews it reads with web search. The citations view shows which sites appeared in the answer, so you know what to update.
First find where the wrong fact comes from: the citations view lists the sites in that answer. Correct the fact at its source (your own page, the directory, the review profile), state the right fact plainly on your site and in JSON-LD, then let Jumpix AI Visibility re-measure the prompt. If the engine keeps repeating it, the task stays open and you see which source still carries the old fact.
Jumpix AI Visibility asks the questions your customers ask to five AI engines and measures whether your brand is mentioned, recommended and cited.
Jumpix AI Visibility turns measurement into tasks: JSON-LD, content briefs and site fixes, then re-measures to show what changed.
Jumpix AI Visibility lists the websites AI engines cite in your category and turns the ones that mention only competitors into a to-do list.
Visibility brings demand; Jumpix Automation answers and follows up every lead that comes in.
See Jumpix Automation