The RFI Triage Problem

Think about what an RFI really is: triage under time pressure. You start with a site list, kill 80% fast, then spend your whole week building a dataset for the last 20%. You chase missing details across a dozen sources, verify what you can, then reformat everything into whatever the site selector asked for. And you don’t do it once. You do it for every “maybe” site. By the end, you’re not choosing the best site. You’re choosing the site you had time to finish.

If you think your team is successful now, wait until AI deletes the busywork and you can take more shots on goal. AI isn’t “someday”. It’s already coming for the work that quietly eats your week, and I know because I’ve been building it for the last two years.

Sitehunt flips the workflow. It gathers publicly available data about your sites, answers the hard questions, and helps draft RFI responses. More importantly, it compares your sites to an RFI’s requirements across hundreds of data points, even when those requirements are written in messy, real-world, free-form language.

Sitehunt flips the workflow. It gathers publicly available data about your sites, answers the hard questions, and helps draft RFI responses. More importantly, it compares your sites to an RFI’s requirements across hundreds of data points, even when requirements are written in messy, real-world, free-form language.

In practice, that turns days into minutes. Same staff. Different work. More time for the human parts: building trust, aligning partners, and getting decisions made.

Want a quick demo? Grab a time here.