Not tomorrow, but more and more people are discovering products, comparing options, and making decisions through AI agents like ChatGPT, Perplexity, and OpenClaw. In this case, they never visit a homepage. They never see a landing page. They just get a recommendation from an AI, and either the brand is in that answer or it isn't. This changes everything about marketing. The question is no longer "how do I rank on Google" but "how do I get cited by an LLM?"
We've been working on this problem at sitefire for the past months, and here's what we've learned so far:
- The content that ranks well in traditional search is often NOT the content that gets cited by AI agents.
- AI models heavily favor third-party sources (press, Reddit, forums) over your own website.
Vela
This is epiq! How do you track the impact of Sitefire?
sitefire.ai
@gobhanu_korisepati Right now we already see impact in how the users performance across their topics improves. Our dashboards show you Visibility, Citation Rate, Citation Share, etc.
But those are probes, so that's not the bottom line yet. Two features we are working on:
We are launching a Google Analytics integration in a couple of days. That way we can show you the leads you are getting from AI chat over time and with which pages.
Network logs integration (Cloudflare, Vercel, CloudFront) that show when an agent accessed your site.
In combination these two will track the bottom line quite well.
And from there: delta in #leads * conversion * LCV = $$$
Wood Elf Wine
Sitefire is a great way to get your brand discovered! So excited for this launch!
sitefire.ai
@arjun_patel7 thank you for the collaboration!
sitefire.ai
@arjun_patel7 Thank you Arjun!
The distribution layer of the internet is changing so fast it’s hard to keep up. There are already dozens of tools giving analytics, but I rarely see them turning those insights into action.
Super curious how often and how you have to reverse engineer what the models are actually doing.
Congrats on the launch!
sitefire.ai
@dmitry_burlakov I just gave some quite detailed answers in other treads. TLDR: we analyze A LOT!
But it's also a lot of fun.
@dmitry_burlakov @vincent_jeltsch1 I get the overall idea, you analyse, create content and push to webflow. The real question are
Did you see an improvement after posting the content ?
How long does it take ?
sitefire.ai
@dmitry_burlakov @giridhar_dhatric
We have multiple customers who achieved results in the first 1-2 weeks. There are a lot of questions that are really driven by the content returned from the background searches. So if you create content that performs well in those searches and get it indexed, you can see effects quite quickly.
There is a lot of discussion about causality on X. But we already have multiple customers where we are able to prove causality between content published and citation rate + visibility improving.
As we grow we will have better data and we'll always try to share.
But, there are topics where creating content does not work. That's why we support different types of actions and have agents run diagnosis for you.
Edit: we are also planning to release some case studies on our blog soon! @jochenmadler shares insightful stuff there regularly.
AutonomyAI
Great stuff! :) Supported and shared in our internal channels. Best of luck!
sitefire.ai
@lev_kerzhner thank you!
The whole "take action, not just monitor" angle is really solid. Most tools in this space just give you dashboards and leave you to figure out the next step yourself. Pushing directly to Framer/Webflow is a nice touch.
Congrats on the launch! One thing that might help as you scale, have you thought about adding an in-app feedback widget? Something like Blocfeed where your users can report issues or suggest features right from inside the app. Helps you understand what's actually breaking for people in prod and what they want next. Could be useful for prioritizing your roadmap early on.
sitefire.ai
@mihir_kanzariya Thanks for the tip. We currently talk to most of our users regularly. But this will change soon and a feedback tool like this will be super helpful!
At the same time, we think sitefire will eventually live in your Slack channel or in Claude Code. Do you know tools that can handle multiple channels like that?
That makes sense. Talking directly with users works well early on, but as the user base grows it becomes harder to keep feedback organized across channels.
That’s exactly the stage Blocfeed is built for. It helps structure and route real user feedback into the tools teams already use.
In-app feedback widget to collect bug reports and feature requests directly from users
Integrations with Slack, Jira, GitHub, and Linear so feedback automatically becomes actionable tasks
Centralized feedback stream to see what users are complaining about most or requesting next
Integration with Claude / Codex workflows to help analyze reports and even suggest automated bug fixes
If Sitefire eventually lives inside Slack or Claude Code, this kind of feedback pipeline can plug into the same workflow and keep product, engineering, and users connected. 🚀
sitefire.ai
@mihir_kanzariya Thank you for the insight. We'll check it out
Vela
Congratulations!!!
sitefire.ai
@apexflux Thank you Saatvik!
Strong product, we have been looking for the right AEO solution for a while and Jochen & Vincent have built something amazing! They are also super responsive to feature requests and we have already had significant improvements in our traffic, couple weeks since using sitefire
sitefire.ai
@sebastian_scott4 thank you!