GetMint addresses a problem most brands only recently started measuring: buyers increasingly ask an AI assistant for a recommendation instead of scanning ten blue links. GetMint runs what the company calls the full AI search loop. In the measure stage it tracks brand citations, sentiment, and share of voice across major models and AI answer surfaces, maps which sources those engines actually pull from, and surfaces the prompts and topics where competitors appear and you do not.
In the strategize stage, an AI Search agent and GetMint's in-house AI Search strategists turn those signals into a roadmap: which prompts to target, what content to build, and where to publish it. In the grow stage, the Content Studio generates briefs and AI-ready articles, and the platform supports publishing to owned pages as well as earned placements on the sources LLMs tend to trust. An AI Shopping radar extends tracking to product and purchase-intent queries in ChatGPT Shopping and similar environments.
GetMint positions itself as a single workspace rather than a patchwork of monitoring and content tools, and emphasizes measurement rigor: it says its research team includes a PhD mathematician and that scores are delivered with margin-of-error context. Pricing is quote-based for two tiers, Advanced and Enterprise & Agency, both sized by brands, markets, and goals during a sales call, with a typical 12-month commitment.
