Your rate changed. The answer didn’t.

You choose the questions your customers actually ask — about rates, fees, minimums, eligibility or a specific product — and Sourcepath runs them against the monitored AI assistants on a repeating schedule. Every answer is recorded with the sources it cited, so each scan is a dated reading you can go back to rather than a one-off look.

ChatGPT, Claude, Gemini and Perplexity. Sourcepath records each of the 4 separately, because they do not answer the same product question the same way or read the same pages. A product term carried by three of them and not the fourth is a different situation from one carried by all four, and a blended number would hide it.

Yes. Sourcepath records the pages each answer cited, resolved to the specific page rather than just the site, then fetches and reads those pages. For a banking product question that is usually a mix of your own product page, personal finance roundups and comparison sites — and seeing them together is what turns a surprising answer into something you can act on.

Yes, and for financial products it is often the most useful thing on the screen. Sourcepath reads the date a page declares about itself in its own markup, preferring the updated date and falling back to the published one. It never guesses age from a URL, a headline or a copyright line — so when a page is described as a year old, that is the page's own statement, not an inference.

Yes. Sourcepath records which of your tracked questions each cited page appeared around, so a roundup cited across 4 of your product questions is visibly different from one that appeared once. That count is usually what decides whether a page is worth a marketing team's time.

Yes, and it distinguishes three real states rather than two: verified present, verified absent, and unknown. Unknown is a genuine answer — some publishers block automated access, and reporting them as "absent" would be a stronger claim than the evidence supports. Where a page was read, the check is a direct match against that page's own text.

That is the common case, and it is the more interesting one. If your page already states 4.50% APY, the work isn't correcting it — it's making that fact explicit, structured and dated: a direct answer near the top, an updated date, an FAQ covering the questions customers actually ask, product and FAQ structured data. Recommendations attach to the place on the page where each change belongs. See the content team view.

No — and it doesn't need to. Sourcepath shows you the answer, the pages behind it and the date each page declares for itself. Nobody knows your current terms better than your team, so the moment you see a year-old roundup behind an answer, you already know what it means. Sourcepath's job is to put that evidence in front of you and route the work that follows.

Track the product and brand questions your customers ask, and Sourcepath records what each monitored engine answers and which pages it cited — your own and everyone else's. Each cited page carries the date it declares for itself and the author it names, so you can see where an answer is being built on something older than your own page. What follows is either work on a page you own or an outside source worth contacting. See how those readings are reported over time.