Guides
Getting senior-living communities recommended by AI — and proving it drives move-ins.
- GEO for Senior Living: How to Get Your Community Recommended by AI
Generative Engine Optimization (GEO) for senior living is how operators get their communities recommended by ChatGPT, Perplexity, and Google AI Overviews — definitions, the per-engine playbook, and how to measure it.
- Why Isn't My Senior Living Community Showing Up in AI Overviews?
If ChatGPT and Google's AI Overviews recommend other communities but not yours, here are the 5 reasons why — and a free 60-second check to see exactly which engines miss you.
- Senior Living Marketing Attribution: The Complete Guide
What senior living marketing attribution is, why a 107–400 day cycle and an offline move-in make it uniquely hard, the attribution models compared, and the closed-loop, multi-signal approach that actually works — vendor-neutral.
- "How Did You Hear About Us?" — Why It's the Least Reliable Number in Senior Living Marketing
In senior living, the 'how did you hear about us?' form is the least reliable number in your marketing. Here's why a 107–400 day cycle and an adult-child buyer break self-reported attribution, and what to use instead.
- How to Track Move-Ins by Source (Senior Living): A Step-by-Step Playbook
A practical, step-by-step playbook for tracking senior living move-ins by marketing channel — UTMs, call tracking, CRM matching — so you know which channels actually fill beds, including the AI-search touch most CRMs miss.