AI search impact on digital marketing and software selection

The rise of generative AI search engines is transforming digital marketing, shifting focus from traditional Search Engine Optimization (SEO) toward Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO). As platforms such as ChatGPT, Perplexity, Gemini, DeepSeek, and Google AI Overviews provide direct answers and recommendations, businesses must adapt to maintain visibility.

Recent analysis indicates that the presence of AI summaries can cause user click-through rates for traditional search results to drop from 15% to 8%. Consequently, businesses—particularly in the B2B sector—are moving away from prioritizing mere traffic volume toward a strategy of earning citations within AI-generated responses. To succeed, companies are encouraged to enhance E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness) signals, improve schema markup, and build credible, independently supported evidence that AI systems can easily reference.

This shift is expanding to include platforms like Tongyi Qianwen, Kimi, and Yuanbao. Research suggests that strategic interventions can increase content presence in AI answers by up to 40% through semantic matching and structured data. Emerging GEO service providers are now helping brands manage semantic optimization, content governance, and knowledge asset construction to ensure integration into synthesized answers.

Technical configurations, such as a website’s robots.txt file, have become critical in determining whether AI bots can access and recommend a brand. This is observed globally, including in Turkey, where local marketplaces show varying approaches to AI crawling. The impact also extends to software development, where AI coding agents are beginning to select tools based on model weights rather than traditional brand reputation, potentially disrupting industry leaders.