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friction AI is an AI recommendation intelligence and visibility platform that helps brands understand, monitor, and improve how they are discovered, described, and recommended by major AI systems. It gives marketing, growth, and product teams measurable insight into why AI recommends competitors instead of you, and what actions increase your likelihood of being recommended for purchase decisions. Recommendation Tracking Monitors how frequently and why AI systems (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) recommend brands and how they stack up versus competitors. Commerce Intelligence Tracks high-intent shopping queries and evaluates purchase intent signals to show how and where AI mentions brand products in buying contexts. Competitive Gap Analysis Benchmarks your AI visibility against competitors, identifies narrative gaps where competitors are winning, and shows the opportunities you’re missing. A/B Experimentation Framework Enables structured testing to measure what content changes improve your recommendation rate across models with measurable outcomes.
We started using friction AI to see how we show up in AI search and if we're recommended. It's practical and the data has a lot of depth. Being able to compare against competitors with no manual testing is saving us a lot of time.
We used to do manual checks to see if we’re recommended in ChatGPT and Gemini, which wasn’t consistent. friction AI makes it repeatable with a prompt set, trend tracking, and competitor comparisons. Not a magic button, you still need good prompts, but it’s been genuinely useful, and support is responsive
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