Product, customer experience, and conversion research
Practical guidance from the team building AI ReplyMate. Every article is reviewed against the product, written without fabricated results, and updated when the product or supporting guidance changes.
What an AI website assistant should do, where it creates value, where it can fail, and how to evaluate one without buying a polished demo instead of a workable system.
Read guideA practical cost model for the gap between a visitor showing intent and your business delivering a useful response.
Read guideA five-part diagnostic for the visitors who show intent but leave because the website never resolves enough uncertainty.
Read guideA transparent look at intent signals, fit questions, lead scoring, handoff rules, and the limits of automating qualification.
Read guideA product-led framework for greeting, answer design, progressive qualification, booking, handoff, recovery, and measurement.
Read guideThe warning signs that appear before a lead is officially marked lost, plus a practical audit to locate the real gap.
Read guideA balanced comparison of response coverage, judgement, staffing, customer experience, handoff, and total operating effort.
Read guideA practical comparison of static forms, conversational intake, customer trust, accessibility, qualification, and the best hybrid patterns.
Read guideA vendor-neutral scorecard and test plan for evaluating answer quality, business actions, risk, handoff, analytics, and long-term ownership.
Read guideA practical conversion programme for extracting more learning and customer progress from existing search, referral, and paid traffic.
Read guideA production-minded checklist covering objectives, knowledge, conversation design, privacy, security, booking, handoff, accessibility, analytics, and launch governance.
Read guideHow appointment-led businesses can automate routine website enquiries and calendar actions while keeping exceptions and professional judgement with people.
Read guide