Searchlyst
AI search intelligence for brands and marketing teams
About
Searchlyst is an AI search intelligence platform built for brands and marketing teams navigating the shift from traditional search engines to AI-powered assistants. As tools like ChatGPT, Google Gemini, and Perplexity become a primary way people discover and evaluate brands, ranking well on Google no longer guarantees visibility — Searchlyst helps close that gap.
The platform continuously tracks how often, and how favorably, your brand is mentioned across major AI models, then converts that data into a clear, prioritized action plan. Key features include AI visibility tracking, prompt-level analytics showing exactly which queries drive your visibility, source and competitor tracking, an AI-optimized content studio, technical AEO audits (schema markup, llms.txt generation), and sentiment and geographic visibility tracking.
Built for SEO specialists, content managers, and marketing teams, Searchlyst offers a free AI Visibility Score with no credit card required, and paid plans starting at $99/month. Get seen, get cited, and become the answer AI recommends.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
as just you get more and more content being published it gets harder to stand out I mean that's just like a pretty fundamental premise I mean I don't think anybody would disagree with that right.
Distribution has always been the bottleneck — easier building makes it harder to stand out, not easier
Seufert's core argument: every historical wave of easier publishing (blogging platforms, Unity for games, the App Store itself) has made discovery harder proportionally. AI-assisted vibe coding is inflationary for the app ecosystem — more supply competing for the same user attention, meaning distribution becomes even more valuable, not less. The winners are the ones who solve distribution, regardless of how the code gets written.
The server went down — one of the reasons that we track taps on the banner and the integer on the database overflow... the fallback banner that was display most of the time so it was like an accidental AB test... the fallback banner was converting twice as much as the existing.
Server crash → fallback banner accidentally doubled paywall conversion
A remote-server integer overflow forced the in-app fallback banner to render — and it doubled paywall conversions versus the live version. The text and icon were only slightly different. The lesson: hardcoded fallbacks are worth treating as real variants, and tiny copy/icon changes on a high-traffic surface can move revenue more than anyone's intuition predicts.
There's a play for whatever you're stuck on.
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