A fast and comprehensive Python package for cheminformatics fingerprints.

"chemfp is the package you’ve been looking for, if you work with binary cheminformatics fingerprints in Python." That is how A fast and comprehensive Python package for cheminformatics fingerprints. introduces itself. Its AI visibility score is 5.3 out of 10: the engines can find it, but they do not have much to hold on to.

On its own pages the site does well on a clear heading structure. It is passable on a partly stated business identity. What holds it back is credibility markers like credentials or reviews, the technical files AI engines look for, such as llms.txt or an open robots.txt, sitemaps and entity links AI can follow and structured data describing the business.

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.