Problem: Marketing teams need AI-assisted ranking and content optimization, but RankAI serves a broad audience and leaves specific segments with generic workflows and slow setup. Named product: MarketWedge, an AI marketing SaaS that targets one underserved marketing segment RankAI treats as an afterthought. Solution: Deliver a tighter feature set built for that single segment with onboarding measured in minutes rather than days, plus templates and defaults that match how that segment actually works. MVP: A focused tool that ingests a team's existing content and keyword targets, produces ranked recommendations, and ships a guided onboarding flow so a new user reaches a first useful output in one session. Revenue: Monthly subscription per seat or per workspace, mirroring the proven RankAI model that already generates roughly $56,533 per month, so pricing does not need to be invented from scratch. GTM: Enter through the Hacker News marketing-software communities where builders openly discuss the pain of marketing their own products, seed the tool with hands-on founders, and convert word of mouth from a narrow niche into a defensible base. Growth loops: Every optimized piece of content published by a customer can carry attribution or shareable reports, onboarding speed drives referral within teams, and case studies from the initial segment feed the next.