Launched this week
Nimt.ai
Track and boost any brand’s visibility in AI search
152 followers
Track and boost any brand’s visibility in AI search
152 followers
Track, analyze, and boost your brand’s visibility, ranking, and Share of Voice on AI platforms like ChatGPT, Claude, and Gemini — no matter your location or language. Start with a 7-day free trial.
Visla
@manuel_lemholt_berger Search used to be about keywords. Now it’s about citations in AI models, whether structured or not. If you’re not showing up when someone asks ChatGPT, Perplexity or Gemini about your space, you’re invisible in the places that increasingly matter.
Congrats on the launch, it's the right time. Curious to see how visibility rankings shift as models retrain and sources get pruned.
@mogabr Thanks!
ZapDigits
Great timing..
@malithmcrdev We think so too. :) Feel free to test Nimt.ai
ZapDigits
@martin_bergstrom1 I was about to but its too expensive for me right now. But hopefully soon. The product is very useful. I think AI visibility is next hot topic.
@martin_bergstrom1 @malithmcrdev Thanks for the feedback! We believe the pricing from 79USD is good.
@malithmcrdev Thanks 😍
Great product - really timely and relevant for today's marketing!
Small question though - since LLMs like ChatGPT don’t provide consistent outputs and often change responses over time or based on prompt phrasing, how does Nimt normalize or account for this variability when tracking visibility and ranking across AI platforms?
@lak7 Thanks a lot! The short answer is prompt variations and running the prompt daily—or even several times a day—to ensure quality.
@lak7 Great question – and something we’ve designed Nimt specifically to handle.
You’re absolutely right: LLMs like ChatGPT can change outputs based on time, prompt phrasing, and even randomness. That’s why Nimt runs structured prompts daily across all tracked platforms.
By measuring visibility every day, we smooth out short-term fluctuations and instead focus on consistent patterns and long-term trends. This allows us to provide a reliable picture of your brand’s presence, share of voice, and ranking. Not based on a single snapshot, but continuous, normalized data.
Happy to share more if you’re curious!
@manuel_lemholt_berger I see, that makes a lot of sense! This kind of continuity sounds super valuable, especially with how unpredictable LLM outputs can be.