AI Findr

AI Findr is a semantic search and customer insight platform that businesses embed on their own websites. It centralises business content, applies configurable rules to answers and CTAs, and records every visitor query so teams can analyse intent and content gaps.

AI Findr is a semantic search engine that businesses embed into their own websites to answer visitor questions in natural language. Instead of matching keywords and filters, it interprets intent and returns precise responses, including in regulated or complex industries where conventional search tools tend to produce weak results. The product is positioned around two jobs that reinforce each other: helping visitors find and act on information, and giving the business a structured record of what those visitors actually wanted. Setup runs through three connected modules. Information sources pull content from the company site, documents and other platforms into a central knowledge base that teams can review, correct and expand together, with alerts when content looks wrong or stale. Business rules let a team define limits, tone of voice, response format and the triggers that surface forms, booking links or calls to action at the right moment in a conversation. Insights capture every query so operators can read individual conversations or analyse them at scale, spot trends and measure intent over time. The tool is built for organisations with high-stakes customer journeys: banking, insurance, eCommerce, shopping centres, tourism, SaaS, healthcare and education. At shopping centres it doubles as an assistant that surfaces tenant promotions and events; in insurance it aims to reduce abandonment at the decision point and hand better qualified leads to sales. AI Findr also claims to optimise content so it surfaces in ChatGPT, Perplexity and Google AI Overviews. Against enterprise search suites, AI Findr competes on deployment speed and on the insight layer rather than on raw indexing scale. Its own pages pitch head to head against Salesforce, SearchSpring and Bloomreach. The company states that testing can begin within a week and a customer-facing launch within a month, and it cites Banco de Crédito de Perú and Jockey Plaza as reference clients. Teams that mainly need a search box will find the analytics side heavier than necessary; teams that want query data as a product input are the closer fit.