Blog · 214 posts
Field notes on local search, review and listing data, entity resolution and the APIs behind them — written for the teams building local marketing software.
Learn how Google’s AI Overviews are changing local search visibility, reducing clicks, reshaping Map Pack exposure, and raising the bar for trust and data quality.
Learn how conflicting location data weakens Google trust signals, reduces local visibility, and quietly limits performance in AI-driven local search.
Learn how the complete 15-publisher business scoring system works. From missing listings to 100-point visibility—the technical guide.
Learn how to benchmark your business visibility against competitors in real-time. Get the playbook for competitive analysis using API-powered scoring.
Your business might rank #1 on Google Maps but be invisible in ChatGPT. Discover the AI discovery gap and how to fix it with the right strategy.
Learn how to track and dominate hyperlocal SEO rankings using 10x10 grid tracking. Real strategies for multi-location businesses to win in every neighborhood.
Explore the future of local SEO and why automation, data accuracy, and competitive insight will define visibility, trust, and growth in AI-driven local search.
Learn how review data functions as a real-time signal for customer experience teams and how structured review insights drive operational and CX improvements.
Explore how local SEO has evolved from tactical optimization to intelligence-driven strategy, and why brands now need market, competitor, and AI-powered insights to win.
Learn how to solve brand, location, and attribute conflicts at scale to protect Google trust signals, stabilize local visibility, and support AI-driven search.