Gunnar

GEO, AI Visibility & WordPress Consultant | Cost Consultant

Self Employed • Selbstständig

Dec 2014 - Present • 11 yrs 7 mos

I help B2B service companies, consultancies, professional firms, freelancers, and specialist SMEs improve their visibility in AI-driven search, strengthen their WordPress presence, and generate more qualified leads. My work combines GEO and AI Visibility strategy, WordPress development, scalable content architecture, technical and on-page SEO, conversion optimization, website performance, analytics, and long-term content development. I build business-focused WordPress websites and scalable content engines that connect positioning, specialist expertise, structured information, search visibility, and lead generation. Depending on the project, this may include Divi 5, Advanced Custom Fields, reusable templates, service pages, topic clusters, supporting articles, FAQs, case studies, structured data, internal linking, tracking, and conversion paths. For larger engagements, I prefer to begin with a paid discovery, audit, or strategy phase. I assess the website, positioning, target audiences, priority services, content gaps, technical foundation, visibility, and opportunities in AI-driven search. Based on this, I define a phased roadmap with clear priorities, deliverables, and approval points. I work directly with owners, managing directors, CFOs, Fractional CFOs, Interim CFOs, marketing leads, and other senior decision-makers. My approach is consulting-first but execution-capable: I develop the strategy, define priorities, and help implement the agreed solution in WordPress. My background in industrial engineering, manufacturing, controlling, product costing, and B2B consulting gives me a strong understanding of complex, expertise-driven industries. I turn specialist knowledge into service pages, topic clusters, case studies, FAQs, and authority-building content designed to improve SEO, GEO, AI Visibility, and qualified lead generation. Long-term collaboration is valuable because results require implementation, measurement, refinement, and continued expansion.