OVERVIEW
MapFlow is a functional AI-powered local SEO tool that helps multi-location businesses understand search visibility, compare locations with competitors, and identify clear opportunities for improvement.
SKILLS
Local SEO Research
Workflow Automation
AI Integration
PROBLEM
During my internship at Lastmile Retail, who supports major multi-location brands like T-Mobile, I conducted extensive local SEO audits and competitive research, uncovering a recurring challenge: businesses lacked a tool to understand where competitors were outperforming their locations and where potential customers were being lost in the journey.
RESEARCH
I conducted extensive local SEO audits across multiple markets, analyzing competitor performance, search rankings, and recurring visibility patterns. Through consultations with senior SEO experts, I explored industry challenges and gaps in existing workflows. I also investigated AI integration, drawing on research by Augenstein et al. (2024) on factual reliability in large language models to support MapFlow's evidence-based approach. My research uncovered three key challenges: time-consuming data collection, fragmented competitive insights, and difficulty translating findings into actionable strategies. These insights shaped MapFlow's development.
SOLUTIONS
I independently designed, coded, and developed MapFlow, a fully functional AI-powered SEO platform that analyzes local search and competitor data, identifies visibility gaps, and generates actionable, evidence-based recommendations for multi-location brands.
Select any business, industry, and target location, with the option to add competitors for direct performance comparisons. Using Apify, MapFlow discovers relevant search queries and real customer questions specific to the business, industry, and location. It also, gives you a cost breakdown of the audit run.
Automatically collects Google Business Profile data, including ratings, reviews, photos, response rates, and competitor insights.
Transforms collected data into visual insights, revealing search visibility gaps, customer journey weaknesses, individual store performance, and prioritized recommendations.
Generate comprehensive reports with key findings, competitive comparisons, and recommendations, ready to download or share with clients via email.
KEY TAKEAWAYS
Building AI taught me that innovation isn't just about automation, but making complex technology reliable, meaningful, and human-centered.
AI-Powered Review Sentiment Analysis
I plan to integrate AI-driven sentiment analysis to evaluate customer reviews across store locations, identify recurring complaints and positive feedback, and uncover patterns in customer satisfaction. This would provide deeper qualitative insights, helping brands address customer pain points and prioritize improvements beyond search visibility.
The Complexity Behind Automation
Building MapFlow taught me that automation isn't always straightforward. Integrating APIs, handling incomplete data, managing costs, and ensuring AI-generated insights remain accurate required continuous testing and iteration. I learned to balance technical functionality, scalability, and user experience to build a reliable, evidence-driven product.