AI agents are becoming the new users of the web. fedt.ai checks whether your site is ready for them. See what agents can find, understand, and act on. Start with a free preview scan, then unlock the Fix Pack: a deeper report with evidence-backed issues, prioritised fixes, and clear next steps.
I launched Hot100.ai here last October, and since then I’ve reviewed more than 2,000 AI projects from indie builders, vibe coders, weekend projects, funded startups and teams all over the 🌎.
One thing has become pretty obvious.
We’re getting ridiculously good at building products fast. Better design, better stacks, better tooling.
But loads of the sites still aren’t built with AI agents in mind.
It scans your site and gives you an agent-readiness score, plus a view of where things look strong and where there may be gaps.
You can run a free preview first. If you want the useful bit, the Fix Pack goes deeper and tells you what matters most, what to fix next, and gives you practical implementation guidance.
I wanted something that was actually useful to builders, and fairly priced.
For the Product Hunt launch month, the Fix Pack is $19 instead of $50. There’s a free preview and example reports too, so you can see what you’re getting before paying.
I’d love you to try your site, share your score, and tell me what’s useful, what’s missing, and what needs work.
@neilswmurray Thanks for Q Neil. It look at things like structure, machine-readable context, docs, clear actions, crawlability and whether the site gives an agent enough useful context to know what the product is and what to do next.
I’m deliberately not exposing the exact weighting because that’s part of the underlying methodology, but the score is really there to give you a quick benchmark. The more useful bit is the breakdown of where the gaps are and what to fix first. Put a lot of work into getting the fix pack as high value as possible for those that need it.
@jarekbrodka Thats a good 1. I often find that a site’s navigation, sitemap, and llms.txt don’t agree. A page can be easy for a person to reach through the menu but effectively invisible to an agent. That kind of discoverability gap is easy to miss because the site looks completely fine in a normal browser. Get your Fix Pack and find out ;)
Report
Another great launch from Humannotmachine.
I tried it when it was in beta and it was a big help.
I’ve been doing a lot of AI coding lately and I have been thinking more and more about this, especially around LLM SEO and how to get a website ready for agents, Fedt seems perfect tool for it, definitely going to try it.
@rvlt_tv totally. There's a lot you can do which is relatively simple (these days) to make big improvements. And thats kinda the idea with this, a pretty affordable way to get the deep dive on what you could do and the things to fix it.
Report
Looks handy. Getting us all ready for the agentic future! Nice one, Tim. Btw, loving the rainbow gradient.
@nicktg thanks Nick! Went back and forth on the design, its evolved a fair amount since the first idea which was literally 4 boxes that contained all the info. But the rainbow gradient was there form the start and wanted to keep some colour.
Hot100.ai
Hey Product Hunt, Tim here.
I launched Hot100.ai here last October, and since then I’ve reviewed more than 2,000 AI projects from indie builders, vibe coders, weekend projects, funded startups and teams all over the 🌎.
One thing has become pretty obvious.
So I built fedt.ai.
It scans your site and gives you an agent-readiness score, plus a view of where things look strong and where there may be gaps.
You can run a free preview first. If you want the useful bit, the Fix Pack goes deeper and tells you what matters most, what to fix next, and gives you practical implementation guidance.
I wanted something that was actually useful to builders, and fairly priced.
For the Product Hunt launch month, the Fix Pack is $19 instead of $50. There’s a free preview and example reports too, so you can see what you’re getting before paying.
I’d love you to try your site, share your score, and tell me what’s useful, what’s missing, and what needs work.
Tim
P.S. Fedt means “awesome” in Danish 🇩🇰
Playmaker
Congrats on the launch! Could you say a little bit more on how you calculate the score?
Hot100.ai
@neilswmurray Thanks for Q Neil. It look at things like structure, machine-readable context, docs, clear actions, crawlability and whether the site gives an agent enough useful context to know what the product is and what to do next.
I’m deliberately not exposing the exact weighting because that’s part of the underlying methodology, but the score is really there to give you a quick benchmark. The more useful bit is the breakdown of where the gaps are and what to fix first. Put a lot of work into getting the fix pack as high value as possible for those that need it.
Congrats on the launch, @darlingdash! 🎉
I’m curious, what’s one issue your scans often find that website owners wouldn’t think to check?
Hot100.ai
@jarekbrodka Thats a good 1. I often find that a site’s navigation, sitemap, and llms.txt don’t agree. A page can be easy for a person to reach through the menu but effectively invisible to an agent. That kind of discoverability gap is easy to miss because the site looks completely fine in a normal browser. Get your Fix Pack and find out ;)
Another great launch from Humannotmachine.
I tried it when it was in beta and it was a big help.
Hot100.ai
@alfredmurray Thanks!
Congrats on the launch Tim 🚀
I’ve been doing a lot of AI coding lately and I have been thinking more and more about this, especially around LLM SEO and how to get a website ready for agents, Fedt seems perfect tool for it, definitely going to try it.
Cheers!
Hot100.ai
@rvlt_tv totally. There's a lot you can do which is relatively simple (these days) to make big improvements. And thats kinda the idea with this, a pretty affordable way to get the deep dive on what you could do and the things to fix it.
Hot100.ai
@nicktg thanks Nick! Went back and forth on the design, its evolved a fair amount since the first idea which was literally 4 boxes that contained all the info. But the rainbow gradient was there form the start and wanted to keep some colour.