Find customers for your AI product on X, not just other AI builders
AI products have an odd problem on X. The timeline is full of AI, but most of it is builders talking to builders. Your launch post gets likes from people shipping the same thing, and the shop owner buried in support emails never sees it.
KittyLeads ignores the hype and looks for the problem. It finds people describing the work your product does, scores them for intent, and filters out competitors, bots and AI thread accounts. Each lead comes with a reply that talks about their problem first. You read it, adjust it and send it yourself.
What ai products buyers say on X
The problem, not the tech
“I answer the same 20 support emails every day” is a buyer. “which model is best for agents” usually isn't. KittyLeads matches posts on the job, so you reach people who don't care how it works.
“Is there an AI that...”
Non-technical people now ask this directly. It's a clean signal, and they're often willing to try something the same day.
Let down by a general chatbot
“tried doing this in a chatbot and it made stuff up” means they want the outcome and need something more specific. That's your opening.
Followers of operators, not AI influencers
KittyLeads can look through the followers of creators your customers follow, like support leads or ecommerce founders, and pick out people who fit.
Made-up posts and scores, to show what we look for.
What a good first reply looks like
is there an ai that can draft support replies from our help docs? not a chatbot on the site, just drafts for us to send
Drafts only is the right call. Auto sending is where these tools tell a customer something wrong. I built Replybox to do just that: it reads your help docs and drafts the reply, you approve it. If your docs are thin, writing your top 10 answers first helps whatever tool you pick.
20 minutes a day
- 1Describe the job your product does in plain, non-technical words. Leave model names out of it.
- 2Lean toward posts from operators and small business owners. Skip the AI discourse.
- 3Be upfront about limits in your replies. People have been burned by AI tools making things up, and an honest reply stands out.
- 4When someone tries it, ask for one example where the output was wrong. AI products live or die on the first result. More on early sales in first 10 customers from X.
Rough model, not a promise. Defaults are conservative for ai products. Subscriptions also stack: next month you keep most of this month's customers.
Questions
Won't my reply look like another AI tool spamming?
Only if it reads like one. The drafts talk about the person's problem first and mention your product once. You edit anything that sounds off before you send it. KittyLeads never posts on its own.
The replies are drafted by AI. Won't they sound like it?
They're written for what that person said, in your tone, and you can ask for another take as many times as you want. Still, read every one before it goes out. You know your product better than any draft does.
My AI product is for enterprises.
Then X is a weaker channel. Enterprise buyers rarely post their problems in public. KittyLeads works best when the buyer is a founder, a small team or a solo operator. If you mostly want to track mentions of your brand, social listening tools are built for that.
How many leads should I expect?
It depends on how common the problem is. Busy categories can see 100–200 matched people a day, narrow ones far fewer. New leads land every few hours.
Other use cases
Find the people already asking for what you built.
A fresh stack of leads from X every morning, each with a reply ready to send. $29.99 a month, tax included. Cancel anytime.