
GetMentions AI
Move beyond AI visibility tracking. Turn LLM citations into measurable brand mentions.
About
GetMentions AI is an AI search visibility and brand mention execution platform for brands and agencies that want to influence AI answers, not just monitor them. It tracks how brands appear across ChatGPT, Gemini, Google AI Mode, and Perplexity, shows the citations and source pages shaping those answers, and helps teams uncover where competitors are being recommended while their own brand is missing. The platform combines AI visibility tracking, citation intelligence, competitor benchmarking, sentiment analysis, and mention gap analysis into one workflow built around how LLMs actually form answers.
What makes GetMentions AI different is its core moat: brand mention execution. Most AI visibility tools stop at analytics and leave teams to figure out the next step themselves. GetMentions AI is positioned around solving that gap by turning AI citation insights into actionable brand mention opportunities, then helping users move from discovery to placement. Its workflow is designed to take teams from tracking, to analyzing cited sources, to finding competitor gaps, to shortlisting the highest-impact opportunities, and finally to managed execution.
That execution layer is what sets the product apart. GetMentions AI supports managed placement across a 192,000+ partner site inventory and is built to connect analytics directly to outcomes. Instead of simply showing which sources influence AI answers, it helps brands get placed on those sources and improve the odds of being mentioned in future responses. In a market crowded with tracking tools, GetMentions AI’s moat is clear: it does not just tell you where you are missing. It gives you a path to get mentioned.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch NowFounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Your LTV of each one of those three groups are very, very different. Really find out who those locals are — who are those people that are going to come and use your app every day, every week — and find ways to measure that.
Tourists vs Locals: average LTV hides the cohort that will make your business
LTV from an average subscriber base blends three cohorts: power users (locals) who stay for years, casual users who drop off after 2-3 months, and wrong-fit users who churn in month one. Eric advises breaking cohorts and optimising product, acquisition, and fundraising narrative around locals only — because in five years, only locals remain, and they define your actual retention curve and investor story.
We use the App Store custom product URLs and we actually measure how many leads we get from YouTube versus... a different URL for Instagram, for YouTube, for Facebook, for our website, and then we can see and attribute revenue directly to that.
Custom App Store product URLs finally unlocked per-channel revenue attribution
After eight years of mostly-unattributed content, the recent unlock was App Store Custom Product Pages with channel-specific URLs — finally producing per-channel revenue attribution. Most subscription apps doing content marketing are still flying blind here; this is a low-effort instrumentation win that retroactively justifies (or kills) channels.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
0