AI is changing how users research information, compare solutions, and decide whom to contact. As a result, well-executed SEO no longer delivers value solely within Google, but also across AI environments, where it can support brand visibility alongside business-relevant website actions.

Client

TWG is an expert in energy savings and indoor environmental quality for buildings. In a technical sector where customers seek explanations, recommendations, and trust before making a decision, high-quality specialized content is crucial.

Services
SEO

Client
TWG

Team
SEO specialist – Michal Gališin

Why AI Is Reshaping the Value of SEO

Today, users gather information from multiple platforms. Alongside classic search, they increasingly interact with AI platforms like ChatGPT, Gemini, and Perplexity to navigate topics, evaluate options, and prepare for decision-making. For TWG, this is particularly important because it operates in a specialized sector where trust, expertise, and how information is explained play a central role.

Therefore, we do not view AI merely as a new visibility channel, but as an integral part of the decision-making process. When a user interacts with an AI tool and subsequently navigates to the website to perform a specific action, it represents a signal with real business significance. This shifts the perspective on SEO. It is no longer just about search traffic, but also about how a brand performs in environments where initial interest and decision-making take shape.

How We Aligned SEO to Work Across AI Environments

For TWG, we built the SEO strategy around three core pillars:

  • specialized content,
  • brand credibility,
  • and covering the complete customer decision journey.

Rather than relying on isolated fixes or purely informational articles, we focused on ensuring the website addresses real user queries while showcasing expertise across topics critical to selecting a solution.

The content strategy expanded in both breadth and depth – ranging from explanatory technical subjects to content closer to conversion. Concurrently, we refined the site’s technical accessibility, topic architecture, internal linking, and overall domain authority. SEO configured this way performs well in classic search while laying the groundwork for visibility within AI responses.

Additionally, we regularly evaluate the quality of traffic coming from AI environments. We monitor not just volume, but primarily user behavior upon landing on the site, including completions of key actions and conversion paths. We benchmark these data points against other traffic sources to identify more precisely what type of demand AI visits generate.

When AI Traffic Delivers Lead Quality Over Volume

Based on this data, traffic originating from AI can display distinct characteristics compared to traditional organic search. For TWG, the analyzed sample revealed a qualitative signal rather than a volume-driven one.

Users coming from AI sources progressed toward key actions more frequently and moved faster into decision-making steps on the website. While this is not a universal conclusion, it serves as an initial practical indicator based on available data.

For ongoing efforts, this means we track AI traffic as an independent layer within SEO performance and actively compare it against other channels. At the same time, we do not measure it strictly through visit volume, but through its potential business contribution – since lower traffic does not necessarily mean lower demand, as part of the interaction already occurs directly within the AI interface.

Grounded in these insights, we continually adjust content strategy and topic prioritization to ensure SEO reflects not just visibility, but also the quality and commercial potential of users arriving from AI environments.