Paige by Merchynt
Autonomous AI Local Marketing Agent
Fully autonomous, self-learning AI marketing agent that automates Google Business Profile optimization, local SEO, posts, Q&A, review responses, image optimization, and rank tracking for SMBs and agencies managing hundreds of locations.
The Challenge
Small businesses and marketing agencies struggle to keep Google Business Profiles consistently optimized. Manual posting, review replies, Q&A management, and citation cleanup are time-consuming, and ranking on Google Maps requires ongoing work across dozens (or hundreds) of locations. Agencies needed a way to scale local SEO without scaling headcount.
The Solution
Contributed to Paige, Merchynt's autonomous AI marketing platform, and the Local Marketing Manager dashboard used by agencies. Built multi-tenant workflows on Next.js and Node.js so each Google Business Profile is continuously optimized by AI — generating on-brand Google Posts, responding to reviews, answering Q&A, optimizing images, and tracking rankings via heatmap audits. Integrated OpenAI for multilingual content generation across 30+ languages, and implemented a self-learning feedback loop that tracks what works across thousands of managed profiles and applies winning strategies automatically, so a tactic proven on one location's profile can lift performance across an agency's entire portfolio without a human ever making the connection manually.
Key Features
Autonomous AI-generated Google Posts and profile updates
AI-powered review responses and Q&A management
Google Maps rank tracking with heatmap audit tool
Citation and reputation management automation
Multilingual content generation across 30+ languages
Agency dashboard to manage hundreds of Google Business Profiles at scale
Results & Impact
Paige has helped 10,000+ SMBs put local SEO on autopilot within its first 18 months, and is rated 4.9/5 by users. Agencies use the Local Marketing Manager dashboard to manage hundreds of Google Business Profiles with a fraction of the manual effort, while the self-learning system continues to improve optimization strategies month over month by comparing outcomes across the full portfolio of managed profiles rather than tuning each one in isolation.
Technology Stack
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