A multi-location marketing platform already automated the busywork of running campaigns - scheduling posts, generating landing pages, tracking leads. The next step was making the platform smarter: instead of just executing what a user scheduled, it needed to recommend what to do next, generate content on its own, and act on channels like Google Business Profile without someone manually logging in every day.
Technology Stack
The Challenge
Each business location on the platform generates its own stream of engagement data - post performance, review sentiment, ad response rates - across social media, local ad campaigns, direct mail, and Google Business Profile. Reviewing that data manually and deciding what to post, boost, or respond to next doesn't scale past a handful of locations, let alone thousands.
What We Built
- AI-generated social content: automatically drafts on-brand social posts and captions from a business's existing assets and calendar, ready for one-click approval
- Auto-posting engine: publishes approved content to social channels on an optimized schedule per location, adjusted for each business's timezone and past engagement patterns
- Boost Post recommendations: a model that flags which organic posts are outperforming expectations and are worth boosting with paid spend, instead of leaving that decision to guesswork
- Local ad campaign optimization: suggests budget and targeting adjustments across local ad and direct mail campaigns based on historical response data
- Google Business Profile automation: AI-drafted responses to reviews, automated profile updates, and prioritized suggestions for what to fix on a profile to improve visibility
- Insights dashboard: a single view that surfaces which channels and content types are actually driving leads per location, instead of raw, disconnected analytics
How It Works
Engagement and campaign data from every connected channel feeds into a set of models that score content performance and flag opportunities - a review that needs a response, a post worth boosting, a campaign that's underperforming its budget. Generative AI drafts the actual content (posts, review replies, campaign copy) grounded in the business's own brand voice and past assets, and a human retains a one-click approval step rather than the system posting fully unsupervised.
The Outcome
The platform moved from a tool that executes what users schedule to one that actively recommends and drafts what to do next across every channel it manages. Marketing teams running the platform now spend their time approving and refining AI-drafted work instead of producing it from scratch, and profiles that previously went unmanaged for weeks - especially Google Business Profile - get consistent, timely attention automatically.