Over the last few months I ve been interviewing founders and marketers who are worried their brand is invisible inside AI tools, even though they ve invested heavily in content and SEO.
With CitedSpy, our goal is to track: Where your brand is cited or recommended in AI answers. The gaps vs. your closest competitors. Concrete actions you can take to improve that visibility.
I d love to turn this into a mini AMA / feedback thread: If you could ask one question about your brand s performance in AI search today, what would it be?
"Happy to share what we re learning from early experiments and research as replies if that s useful."
One of the toughest parts of scaling a community or a product is managing the feedback loop. You want the raw, unfiltered truth from your early users because that's the only way to fix broken features, but sometimes the feedback is just... harsh.
As founders and builders, how do you filter out the unhelpful noise from the constructive criticism? And more importantly, how do you pass that feedback along to your engineering or design teams without killing the momentum?
I've been going deep on Telegram as a prospecting channel and I'm curious how others handle it.
The problem I keep hitting: Telegram communities are full of buying signals people asking for tool recommendations, complaining about a workflow, looking to switch vendors but reading every thread manually doesn't scale, and scraping members is spammy and mostly useless.
