Generative Engine Optimization (GEO) for B2B: How can industrial companies become visible in AI models and grow into a relevant digital brand? In this article, you’ll learn how artificial intelligence is changing (and expanding) traditional search engine optimization. We’ll also cover the specific factors that B2B companies need to keep in mind when optimizing for
How Event Tech Companies Use Google Ads for High-Ticket Niche Products Systematic generation of qualified B2B enquiries through a product-specific campaign structure Clear separation of purchase and rental intent (dry hire) for more precise audience targeting and better conversion quality Market potential and target audience defined from scratch through in-depth analysis and ongoing campaign optimization
How B2B companies use Google Ads to target complex offerings Systematically increasing qualified product purchases and B2B leads through a clear campaign structure Achieve a clear separation of conversion goals by untangling convoluted campaign structures Improved control and significantly more efficient campaign performance through clear separation of conversion goals SEA strategies tailored to industrial e-commerce
89% of B2B searchers, technical buyers, or engineers at industrial companies now cite generative AI models as their top source for gathering information during the purchasing process. This is according to a recent report by Forrester. However, traditional search engine optimization (SEO) remains the foundation for visibility in generative AI models (GEO). So not much
How B2B platforms win online using B2B SEO + GEO Get found in AI models for specific, context-based B2B marketplace searches (using the automotive industry as an example here) Bring buyers and sellers together on a B2B platform and be found by both Visibility for marketplace-relevant products + parts instead of just brand names or
SEO + GEO in mechanical engineering: A real opportunity Found in AI models for specific, context-based machine/niche searches Visibility for solutions and machines that require explanation rather than just brand names International visibility in multiple languages or local presence as a mechanical engineer In mechanical engineering, the biggest challenge is that potential customers are not
In 2025, industrial manufacturers face a new search landscape which is dominated by AI-powered engines like Google AI Mode, Perplexity & ChatGPT. Traditional SEO alone is no longer enough. To stay competitive, manufacturers must rethink their approach. In this article, you’ll get a step-by-step SEO strategy that’s proven across 50+ B2B industrial projects. We’ll cover
