Essays and field notes on hotel SEO, AI search, and turning organic visibility into direct bookings. Page 6 of 6.
Google's AI Overviews behave differently on hotel category queries than on other verticals. Tracking the shift across 200+ destination queries, and what hotels need to do to stay visible.
A focused 90-day case study walkthrough, the specific content, technical, and on-page work that took an anonymized 180-room downtown property from flat traffic to 102% growth in 12 weeks.
The on-page SEO patterns that matter for hotel sites, title tags, meta descriptions, headings, schema, internal linking, calibrated for the specific way travel searches work in 2026.
Most hotel SEO discussions focus on rankings and traffic. The harder question, how does SEO convert into actual revenue, has a specific answer with calculable economics. The math, the attribution paths, and the realistic revenue lift to expect.
Most hotel marketing dashboards measure the wrong things. Six metrics that actually predict revenue, three that look important but don't, and the one most marketers don't measure at all.
Caribbean resorts face a unique SEO landscape, extreme seasonality, island-specific search behavior, weather sensitivity, and all-inclusive comparison dynamics. The strategies that work versus the patterns that don't.
A side-by-side analysis of how each AI system selects which hotels to recommend, what citation patterns each rewards, and which one represents the biggest opportunity for boutique properties in 2026.
A property with $5M in OTA revenue isn't paying $750K in commission. The real cost includes loyalty erosion, data loss, and brand SERP cannibalization, typically 2-3x the commission line.
A category-by-category analysis of what ranks for Miami hotel queries, who owns the SERPs, and where the openings are for boutique properties willing to invest in destination content.
Multi-property hotel groups need sitemap architectures that single properties don't. The structural patterns that make Google's crawler efficient versus the ones that produce systematic indexing gaps.
ChatGPT cites only a handful of hotel sources when travelers ask where to stay. The patterns determining which hotels get named, and how to structure your content so it joins the citation pool.
After running hospitality SEO audits across dozens of properties, the same five mistakes show up every time. None of them are exotic. All of them are fixable in 30 days.
A working framework for finding the hospitality queries that actually produce bookings, including the destination, intent, and AI-search patterns most hotel marketers miss.