For years, marketing teams lived in dashboards built around keywords, SERP positions, and click curves. That toolkit assumed people would type a query, scan ten blue links, and click. Today, a growing share of product discovery never touches a traditional results page—buyers describe a problem in plain language and get a short list of names, sometimes with links, sometimes without.

That change does not make SEO irrelevant overnight, but it does change what “being found” means. If your category is discussed inside an AI assistant, your brand might be recommended, ignored, or compared to a competitor in the same paragraph. Classic rank tracking will not surface that pattern on its own.

AskLLM is Hublo’s answer for teams who need to see how they show up in that layer: where you appear in assistant-style answers, how you compare to named alternatives, and what to adjust in messaging or content so your story fits how models summarize your space. It is built for brand and marketing owners who already run disciplined programs but need a clearer picture of AI-era visibility—not a one-off prompt test.

If you are planning budgets around “AI search,” start by separating experiments from measurement: run pilots, but also put a repeatable benchmark in place so you can tell whether visibility is moving month to month. Our product work on AskLLM stays focused on that outcome—so you can explain progress to leadership with something sturdier than screenshots.