Merchynt|2025

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.

Role:Senior Software Engineer
Paige by Merchynt — Autonomous AI Local Marketing Agent built by Adnan Ali

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.

Key Features

01

Autonomous AI-generated Google Posts and profile updates

02

AI-powered review responses and Q&A management

03

Google Maps rank tracking with heatmap audit tool

04

Citation and reputation management automation

05

Multilingual content generation across 30+ languages

06

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.

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