{
“title”: “Harnessing AI Sentiment: A Czech SEO Consultant’s Blueprint for Doubling Organic Visibility”,
“content”: “
In the ever-evolving landscape of search engine optimization, staying ahead of the curve is paramount. As artificial intelligence increasingly shapes how users find information, understanding and leveraging AI’s perception of your brand has become a critical, yet often overlooked, aspect of digital strategy. ZbynÄ›k Fridrich, a seasoned SEO consultant with 17 years of experience and the recipient of last year’s Best SEO Project award in the Czech Republic, has developed a powerful two-phase approach that harnesses AI sentiment insights to drive tangible traffic and visibility growth.
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Fridrich operates with a non-negotiable rule for his clients: \”If you want to work with me, you need Semrush.\” This isn’t a mere preference; it’s a foundational requirement for implementing his data-driven methodology. His core strategy revolves around analyzing how AI systems, such as ChatGPT, Google AI, and Gemini, perceive and recommend brands. By identifying where clients are missing from these AI-driven recommendations, Fridrich crafts targeted strategies to close those gaps.
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This approach was brilliantly demonstrated with WorkLounge, a co-working brand that, under Fridrich’s guidance, experienced a remarkable doubling of its organic visibility and AI-driven traffic within just five months. This success story underscores the potency of his AI Visibility Toolkit, which focuses on two key phases: gaining control over current AI sentiment and then strategically identifying and capitalizing on new content opportunities.
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Phase 1: Mastering Your Brand’s AI Sentiment
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The initial, and arguably most crucial, phase of Fridrich’s strategy is dedicated to understanding and rectifying your brand’s current standing in the eyes of AI. \”The goal is to have maximum control over what AI says about us today. Only in the second step do we look for new content opportunities,\” Fridrich emphasizes. This highlights a common pitfall for many businesses: the tendency to churn out more content without first ensuring that the existing narrative and perception are accurate and positive.
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Fridrich begins this phase by diving into Semrush’s Brand Performance tool. Here, he meticulously inputs the client’s key competitors and target geographical locations. The objective is to gain a clear picture of how major AI engines are currently describing the brand. This is a fundamental shift from traditional SEO, where rankings were the primary metric. In the age of AI-powered search, visibility is less about occupying a specific rank and more about whether AI models deem your brand authoritative and relevant enough to be recommended in their responses.
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\”It’s not important to be in every answer. What matters most is sentiment and overall visibility,\” Fridrich states. He first assesses the brand’s overall sentiment within AI-generated answers, comparing it against that of its competitors. This provides a crucial benchmark for understanding the brand’s current AI perception relative to the market.
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Following this, Fridrich delves into the Business Drivers report. This section is invaluable for identifying the specific attributes, associations, and topics that AI consistently links to the brand. Are these associations positive, negative, or neutral? Do they align with the brand’s intended messaging and value proposition? Understanding these underlying drivers is key to shaping AI’s perception.
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The next step involves exploring the Perception report. This granular analysis breaks down the specific perceptions—both positive and negative—that influence AI’s view of the brand. By dissecting these perceptions, Fridrich can pinpoint areas that require immediate attention. For instance, if an AI consistently associates a co-working space with \”expensive\” or \”unprofessional,\” these negative perceptions must be addressed through strategic content and messaging adjustments before any new content is created.
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This meticulous examination of current AI sentiment allows Fridrich to build a solid foundation. It ensures that any subsequent efforts to expand visibility are based on an accurate and favorable AI understanding of the brand, rather than amplifying existing misconceptions.
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Phase 2: Uncovering and Capturing Untapped AI Opportunities
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Once the brand’s AI sentiment is understood and, if necessary, corrected, Fridrich moves to the second phase: actively seeking out and capturing new opportunities. This is where the proactive element of his strategy truly shines, transforming AI insights into direct traffic gains.
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Using Semrush’s AI Visibility Toolkit, Fridrich explores various AI prompts and questions. The goal here is to identify queries where the client’s brand should be appearing in AI-generated answers but currently isn’t. This involves looking for gaps in the AI’s knowledge or recommendations concerning the client’s services, products, or expertise.
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A key tool in this phase is the analysis of AI prompt suggestions and related queries. Fridrich looks for patterns in how users are interacting with AI search and what information they are seeking. By understanding these user intents, he can identify relevant prompts that are currently underserved by his client’s online presence.
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For example, if WorkLounge offers flexible office solutions for startups, Fridrich might discover that AI users frequently ask about \”affordable co-working spaces for new businesses\” or \”short-term office rentals for tech companies.\” If WorkLounge isn’t appearing in the AI responses to these queries, it represents a significant missed opportunity.
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The process involves:
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