New Home Star’s Playbook: HubSpot, AI Agents & AIO Search-158
Description
New Home Star’s Marketing Director, Chris Laskowski, joins Anya to unpack how HubSpot, AI agents, and AI search (AIO) are reshaping new-home marketing.
Fresh off HubSpot’s INBOUND, Chris breaks down the shift from one-to-many to true 1:1 personalization, why your website must act like a data warehouse, and how builders can win visibility in AI-driven search with structured content (think 3,000+ FAQs, schema, and data-tagged plans).
What you’ll learn
- Why a unified tech stack (HubSpot, call/text/email, ads, service) unlocks real AI value
- INBOUND takeaways: AI Agents, Data Hub, and 1:1 personalization at scale
- How to pivot from SEO traffic losses to AIO discoverability
- The builder playbook: schema markup, data-tagged floor plans, transparent pricing, and massive FAQ libraries
- 12-week HubSpot rollout: strategy → automation → dashboards & training
- Top 3 priorities for the next 1–3 years: consolidate data, rebalance channel mix by ROI, upskill on AI (projects + agents)
Chapters
00:00 Intro & who is New Home Star
01:00 Chris’s path + team scope (40-person marketing org)
04:00 Why HubSpot: one data warehouse for sales/marketing/service
06:00 INBOUND highlights: AI Agents, Data Hub, 1:1 personalization
11:00 Homebuilding implications: matching buyers to the right homes
14:00 SEO drop-offs & the rise of AI search (AIO)
18:30 Treat your site like a data warehouse; 3,000+ FAQs
21:30 Schema + data tagging for plans, pricing, and tours
25:30 Human-friendly front end vs machine-readable back end
26:30 New Home Star’s 12-week HubSpot implementation
27:45 The builder’s top 3 priorities for 2025–2027
34:00 Should you attend INBOUND next year?
35:30 Where to connect with Chris & New Home Star