Fragmented feedback hurts CX — unify surveys, AI insights & action

Customer feedback is currently fragmented across NPS and transactional surveys, support tickets, product reviews and in-app feedback, leaving CX and product teams at thousands of small, midmarket and enterprise firms without a single source of truth; this is especially visible across the estimated 5.0M small-to-large businesses that today spend about $2.0K ACV on survey and basic feedback tools. The result is slow insight generation, inconsistent prioritization of issues, and repeated customer friction that increases churn and costs support time. A viable product would be a unified feedback platform that ingests signals from surveys, support systems, reviews and in-app captures, applies semantic search and LLM-based summarization to extract themes and sentiment, and automatically routes prioritized actions into existing workflows (Zendesk, Salesforce, product roadmaps) with closed-loop tracking. Go-to-market targets the $10.0B addressable market using a tiered $2K ACV baseline with add-ons for automation and privacy controls; the market score (90/100) and revenue potential (85/100) indicate strong demand but not a low-effort opportunity. Timing is favorable because recent advances in AI summarization and semantic search materially reduce time-to-insight, and the shift toward zero/first-party data plus privacy regulations increases demand for privacy-first direct feedback channels. To stand out, focus on domain-tuned models, customer-owned data architectures, measurable time-to-action metrics and deep pre-built integrations; be honest that challenges include ongoing model maintenance, complex integrations with heterogeneous tech stacks, and the sales effort required to convince organizations to consolidate multiple point tools.