Large language models can predict the results of social science experiments

"Examples: Flu vaccination Trust in elections Carbon tax 1." That is how Large language models can predict the results of social science experiments introduces itself. When AI engines look at it, they find little to work with. It scores 4.8 out of 10.

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

Off the page, people discuss it in places AI engines read. There is some, but not much, sign that the domain is only lightly established. Beyond that, almost no other sites link to it, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.

The site links to no social profiles, so there is nothing tying the brand to a wider presence.