In a recent LinkedIn post, Andrew Bolis explores the seismic shifts occurring in the search landscape and argues that traditional SEO tools are struggling to keep pace with the rise of artificial intelligence. Bolis highlights that while AI platforms like ChatGPT and Gemini are handling billions of queries and influencing consumer decisions, many marketers remain focused solely on Google rankings, potentially missing significant visibility and revenue opportunities.
Bolis emphasizes the urgency of adapting search strategies, stating:
“The search landscape has completely shifted… AI recommendations drive brand discovery. But most marketers still only track Google rankings.”
He points out the disconnect between how customers are discovering brands and how marketers are measuring their success. According to Bolis, this oversight leads to competitors gaining mentions in AI responses while brands remain invisible in large language model (LLM) results, causing a silent loss of traffic and revenue.
The AI Visibility Challenge
Andrew Bolis argues that the core issue is the inability to measure what is not being tracked. He introduces Semrush One as a solution designed to address this challenge by providing a unified platform for tracking brand visibility across both traditional Google search and emerging AI search environments.
Bolis explains the functionality of Semrush One, noting:
“It’s the first unified platform that tracks your brand’s visibility across both Google and AI search, all in a single connected dashboard.”
The platform, as described by Bolis, allows users to audit their total search presence. This involves entering a domain to receive instant visibility scores for both AI and SEO, providing a comprehensive overview of performance across different AI platforms such as ChatGPT, Gemini, and Perplexity.
Understanding AI Search Performance
Bolis details how Semrush One offers a deep dive into AI visibility, breaking down performance by platform. This includes specific insights into how a brand is performing on ChatGPT, its visibility score on Gemini, and citation frequency on Perplexity. He stresses the importance of identifying missed opportunities within AI search, such as topics where a brand should be appearing but isn’t, or prompts that are driving traffic to competitors.
“Topics where you should appear but don’t… Source citations you’re missing… Exact steps to close every gap.”
Furthermore, Bolis highlights the competitive intelligence features within the tool, enabling marketers to see where competitors are being cited and understand their AI visibility tactics. This, he suggests, can reveal exploitable gaps and first-mover opportunities.
Optimizing for Modern Search
Beyond AI visibility, Bolis underscores the continued importance of traditional SEO, but advocates for an integrated approach. He explains that Semrush One also allows for the optimization of organic keyword strategy through smart filtering. This includes tracking keyword positions, search volume, difficulty, and user intent.
As Bolis concludes, the search landscape has irrevocably changed, necessitating a parallel evolution in visibility strategies. He urges marketers to:
“Win in Google. Dominate in AI. Track everything in one place.”
His post serves as a call to action for businesses to embrace a more holistic approach to search engine optimization, ensuring they are visible and competitive in both the established and rapidly evolving AI-driven search ecosystems.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 15, 2025 | View original post on LinkedIn →