# Milestone CEO Highlights Hotel AI Visibility Challenges > Source: > Published: 2026-06-04 12:54:36.684298+00:00 Photo: skift.com · rights & takedowns Skift reports that Anil Aggarwal, CEO of Milestone Inc., spoke at the Skift Data + AI Summit 2026 about hotels losing visibility in AI search. Skift reports that Aggarwal framed the issue as technical rather than purely content-driven, citing site speed, crawlability, and schema markup as gatekeepers to AI indexing. Skift cites a case study presented by Aggarwal in which a hotel chain reduced per-property optimisation time from 10 hours to 35 minutes after automating content extraction, templating, and publishing across more than 2,000 hotels. Skift reports the chain recorded a 720% lift in organic search on optimised properties and that an audit showed airport hotels at 20% AI visibility, which Aggarwal called "a big flag." Skift also notes Aggarwal referenced Googles Marketing Live guidance on writing for customers and producing original material. What happened Skift reports that Anil Aggarwal, CEO of Milestone Inc., presented at the Skift Data + AI Summit 2026 in a session titled "Does AI Know Your Hotel Exists?" Skift reports that Aggarwal framed the visibility problem as technical rather than content-first, saying content quality matters only after the technical stack is in order. Technical details Skift cites a case study shown by Aggarwal in which a hotel chain automated content extraction, templating, and publishing across more than 2,000 deployed hotels, cutting per-property optimisation from 10 hours to 35 minutes . Skift reports the same chain recorded a 720% lift in organic search on optimised properties. Skift also reports an audit shown during the session that found airport hotel stays at 20% AI visibility; Skift quotes Aggarwal calling that "a big flag." Skift notes Aggarwal referenced Google's Marketing Live guidance to write for customers and produce original material not available elsewhere. Editorial analysis Industry-pattern observations suggest that when AI search surfaces content via aggregated crawls and knowledge layers, basic web engineering signals-site speed, crawlability, structured data-become gatekeepers. Organisations that rely solely on editorial improvements without addressing those engineering signals typically see limited downstream benefit from content investment. Context and significance For practitioners, the session underscores a practical stack ordering problem: auditing crawlability and schema often precedes reliable AI-visible content delivery. Automation of extraction, templating, and publishing is presented as a scaling lever that reduces per-page toil and increases consistency across thousands of properties. What to watch Industry observers will monitor broader adoption of AI-visibility audits, publisher use of structured schema, and whether vendors bundle automation for extraction and templating as a common service offering for multi-property hotel brands. Scoring Rationale Notable practitioner relevance for hospitality and SEO engineers: the story highlights concrete automation gains and measurable lifts, but it is not a frontier-model or platform shift. The impact is operationally important for multi-property brands and vendor selection. Practice with real Health & Insurance data 90 SQL & Python problems · 15 industry datasets Used by DS/ML engineers at top companies Active PPO Plans with Rx Coverage Easy Approved High-Value Claims Medium Denial Rate by Plan Type Hard 250 free problems · No credit card See all Health & Insurance problems