LibBi (library for Bayesian inference)

LibBi (library for Bayesian inference) is a business whose own site puts it this way: "The staple methods of LibBi are based on sequential Monte Carlo (SMC), also known as particle filtering." Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.

On the page it is passable on a workable page structure. What holds it back is the technical files AI engines look for, such as llms.txt or an open robots.txt, structured data describing the business, a clearly stated business identity, credibility markers like credentials or reviews and sitemaps and entity links AI can follow.

Off the page, other sites link to it. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.

AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic). The site links to no social profiles, so there is nothing tying the brand to a wider presence.