Semrush Launches a Framework for Measuring Brand Visibility in AI Search as the Old SEO Playbook Breaks Down

Why It Matters

As AI agents replace human clicks, brands that cannot be seen in AI‑driven answers risk losing traffic and revenue, making measurable visibility a strategic imperative for marketers.

Key Takeaways

• AI Overviews cut organic CTR 61% on affected queries.
• 62% of brands are invisible to generative AI models.
• Semrush AI product ARR hit $38 million, up 850%.
• New “Agentic Search Optimisation” targets AI agent recommendation engines.
• Adobe acquisition values Semrush at $1.9 billion, adding visibility layer.

Pulse Analysis

The rise of AI‑driven search is reshaping how users discover information. Google’s AI Overviews now appear on nearly half of all queries, driving a 61% drop in organic click‑through rates and pushing zero‑click searches to 69% of total volume. While traffic that does surface from AI agents converts at a higher 14.2% rate, brands have little control over whether they are mentioned at all, leaving 62% of companies effectively invisible to these systems. This shift forces marketers to rethink reliance on traditional SEO metrics that once guided traffic and revenue.

Semrush’s Brand Visibility Framework tackles the new reality with a two‑part approach: a Brand Visibility Operating Model and the discipline of Agentic Search Optimisation. Unlike classic SEO, which optimises for human‑selected links, Agentic Search Optimisation prepares content for synthesis by AI agents that evaluate relevance and authority without presenting a list of options. The framework leverages an AI Visibility Index built on 213 million LLM prompts, offering a “keyword research for AI” that maps brand mentions, citation positions, and share of voice across ChatGPT, Google AI Mode, Perplexity and Gemini. This data‑driven layer gives marketers a quantifiable way to track and improve AI‑based discoverability.

Industry implications are profound. Adobe’s $1.9 billion acquisition of Semrush signals a strategic bet on integrating visibility analytics into its broader marketing cloud, filling a gap between content creation and AI‑mediated distribution. Early adopters that align SEO, content, and AI teams report measurable gains, while siloed organisations struggle to gauge AI visibility. As regulators like the EU’s Digital Markets Act begin treating AI chatbots as search engines, the ability to demonstrate brand presence across both human and machine channels will become a competitive differentiator and a compliance necessity.