Responsibilities

• Win CBRE citations and answer inclusion across AI platforms like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, growing how often we surface as the trusted source when buyers ask AI about commercial real estate.
• Track where CBRE appears across these platforms, monitor citation share against our competitive set, find the gaps, and act on them with content and production teams.
• Execute CBRE's playbooks for AI-powered search, so our brand is represented accurately and authoritatively.
• Stay ahead of developments in Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), and AI-driven discovery, bringing forward specific, grounded recommendations as the space evolves.
• Identify where AI and automation can take over the manual layer of search work, monitoring, content optimization, metadata enrichment, and reporting, and translate those needs into clear requirements for our Martech, D&T, and agency partner to build.
• Run these workflows day to day, turning what they surface into faster fixes and optimizations.
• Get full value from CBRE's AI visibility and SEO tool stack, and bring a clear point of view on where automation should extend it next.
• Keep CBRE's US properties technically sound so both search engines and AI systems can find, read, and cite them, covering crawlability, schema markup, structured data, Core Web Vitals, and hreflang, in direct partnership with D&T.
• Run regular audits across site architecture, indexation, and page speed. Work with our agency partner to turn findings into clear engineering briefs and see fixes through to completion.
• Grow measurable organic visibility through keyword strategy, on-page optimization, and content gap analysis that reinforce the topical authority AI models recognize.

Requirements

• Bachelor's degree in marketing, communications, digital media, or a related field, or equivalent professional experience.
• 5 to 7 years of experience in SEO or search strategy, with a proven record on large-scale enterprise websites.
• Hands-on experience with AI-powered discovery platforms, large language models (LLMs), or answer engines, and a clear point of view on how AI is changing search.
• Fluent enough with AI and automation to see where they replace manual work and to spec what's needed, working with technical partners to build it
• Solid technical SEO skills across structured data, crawl management, site architecture, and performance optimization.
• Sharp analytical instincts. You can read data, form a view, and turn it into a recommendation that drives action.
• Proficiency with SEO platforms such as Semrush, Ahrefs, or Moz, and analytics tools like Google Analytics (GA4) and Google Search Console. Familiarity with AI-visibility tools such as Profound or Scrunch and technical site-health crawlers like Lumar or similar tools is a plus.
• Experience in a global, matrixed organization, building relationships across functions and regions to get things done.
• The ability to turn complex search data into a clear story for any audience, whether an engineering team, a content team, or leadership.
• A natural sense of ownership. You take projects through to completion and raise your hand when something could be better.

Preferred

• Sitecore experience is a plus.