Generative Engine Optimization (GEO) is the practice of structuring brand content to surface in AI-generated answers from ChatGPT, Bing Chat, Perplexity AI, and Google SGE, targeting LLM training data rather than ranking algorithms. One B2B SaaS company saw improved citation rates in Perplexity AI answers after implementing schema markup and entity optimization. LinkedIn job postings mentioning Generative Engine Optimization increased 312 percent between Q1 2023 and Q1 2024. Average salaries range from $95,000 for specialists to $145,000 for GEO directors. Forty-seven percent of marketing agencies added GEO services in 2024, pricing them at $3,500 to $8,000 monthly for mid-market clients. Google's SGE certification program launched in March 2024 and has 12,000 certified professionals. Freelance GEO consultants on Upwork charge $150 to $300 hourly, with 340 active listings. Enterprise GEO solutions from Conductor and BrightEdge range from $24,000 to $48,000 annually. Brands implementing GEO see 3.2 times higher mention rates in AI-generated answers compared to competitors relying solely on traditional SEO, according to a 2024 SparkToro study of 500 enterprise websites. HubSpot achieved a 67 percent citation share in AI answers about marketing automation, compared to 23 percent for Marketo, by using structured data markup and entity optimization.