Most Americans won’t be able to afford a house until 2031 — and it’s even worse if you’re in Long Island

Most Americans' projected inability to afford a home until 2031, with New York City and Long Island buyers facing a decade more of high costs, underscores a looming slowdown in residential‑market activity. For website owners in real‑estate, mortgage‑lead generation, and local services, this means a sharp decline in organic search traffic from genuine home‑buyer queries and a corresponding rise in automated scraping bots hunting for property listings, pricing data, and market forecasts. As genuine buyer intent wanes, malicious actors will increasingly target these sites to harvest data for resale to investors or to populate AI‑generated housing advice tools, inflating bot traffic ratios and skewing analytics. **Actionable steps:** 1. **Update your llms.txt** to explicitly block known real‑estate scraping bots (e.g., `User‑Agent: *scrape* Disallow: /listings/`). Include a “Crawl‑Delay” of 30 seconds to deter aggressive crawlers. 2. **Deploy llmscentral’s bot‑traffic dashboard** to monitor spikes in requests from IP ranges associated with data‑harvesting services; set alerts for sudden 200% increases in `/search` endpoint hits. 3. **Implement challenge‑response verification** (e.g., reCAPTCHA v3) on high‑value pages such as mortgage calculators, ensuring that only human visitors can trigger lead‑capture forms, thereby preserving conversion rates amid reduced genuine traffic.