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Pitch
Description
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AI is becoming the new search. People ask ChatGPT, Claude, and Perplexity for recommendations instead of Googling.
Loamly does two things:
Shows you what AI platforms actually say about your brand. Real queries, real answers, tracked over time.
Detects when AI-referred visitors land on your site. The traffic Google Analytics calls "direct" but isn't.
Free tier available.
AI is becoming the new search. People ask ChatGPT, Claude, and Perplexity for recommendations instead of Googling. But most brands have no visibility into this.
Loamly gives you that visibility.
See exactly what AI platforms say when someone asks about your brand, your competitors, or your industry. We run real queries against ChatGPT, Claude, Perplexity, and Gemini - and show you the actual answers.
Know when AI actually sends visitors to your site. Most analytics tools miss this entirely - they label it "direct traffic." Loamly identifies which AI platform referred each visitor.
The traffic detection is open-source: github.com/loamly/loamly
Query your own data with natural language. Connect the dots between what AI says about you and the traffic you're actually getting.
Traditional SEO still matters, but AI discovery is growing fast. Brands that understand how they appear in AI responses - and can measure when that turns into real visits - will have an edge.
Hey! I'm Marco, the founder. I built Loamly because more and more research happens through ChatGPT, Claude, and Perplexity instead of Google. But that traffic is invisible in analytics — it just shows up as "direct." Loamly does two things: Brand monitoring — See what AI platforms actually say when someone asks about your brand or competitors. Real queries, real answers, tracked over time. Traffic detection — Know when AI sends visitors to your site instead of seeing them lumped into "direct traffic." The traffic detection is open-source. Brand monitoring runs on our side since it needs API keys and scheduled jobs. Free tier: 5K credits/month, no card needed. If something's broken or confusing, let me know — happy to help.
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