A new study conducted by the Semrush Blog across 50,000 brands has revealed that AI visibility in ChatGPT operates on a direct topic level rather than across broad categories, and that most topics do not yet have a dominant brand. This dynamic presents significant opportunities for brands adapting to AI search engines within their digital marketing and SEO strategies.
Key Findings of the Study
The rise of AI search engines is forcing brands to rethink their traditional search engine optimization (SEO) approaches. According to Semrush's analysis, gaining visibility in large language models like ChatGPT is less about focusing on broad keywords and more about establishing authority within specific topic clusters.
The most striking data point from the study is that a vast majority of the examined topics do not yet have a single "dominant brand" ruling the market. Industry giants that have dominated the top rankings of traditional search engines for years do not yet hold the same absolute supremacy within the reference mechanisms of AI-powered chatbots.
The Importance of Topic-Based Optimization for Digital Marketers
When generating responses to user queries, AI tools such as AI Overviews and ChatGPT crawl websites not as monolithic authorities, but as the clearest answer providers for specific questions. This requires digital marketing strategies to incorporate the following steps:
- In-Depth Content Over Broad Keywords: Rather than targeting a single keyword, brands must produce deep and consistent content across the subtopics of their respective fields.
- Natural Language and Contextual Alignment: Because AI engines have advanced in understanding context, structures must be built that directly answer the complex, intent-driven questions users are likely to ask AI.
- Brand Mentions: When scanning external sources, AI models focus not only on backlinks, but also on how reliably a brand is mentioned in relation to a given topic.
Industry Implications and Strategic Approach
At a time when AI search engines are rapidly transforming search habits, niche areas lacking dominant brands yet are opening a crucial window of opportunity for small and medium-sized enterprises (SMEs). By restructuring their digital assets and content architectures to align not just with search engine bots, but with the data-synthesis logic of AI algorithms, brands can boost their organic visibility.
Frequently Asked Questions
What is the main difference between AI visibility and traditional SEO?
While traditional SEO generally focuses on keyword density, page speed, and backlink profiles, AI visibility centers on how consistently, contextually, and authoritatively a brand is crawled as an information source on a specific topic.
How can small businesses stand out in topics where there is no dominant brand yet?
Instead of competing with corporate giants for broad keywords, small businesses can fill this gap by producing in-depth, structured content on niche subtopics within their areas of expertise—content that AI can easily summarize.
*This article was prepared based on data published by the Semrush Blog.
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