April 29, 2026
Adobe Acquires Semrush as AI Rewrites the Rules of Brand Discovery
Adobe has finalised its acquisition of Semrush Holdings, absorbing the 17-year-old brand visibility platform into its recently launched CX Enterprise system and extending its reach into three disciplines that are becoming essential for modern marketers: search engine optimisation (SEO), generative engine optimisation (GEO), and agentic search optimisation (ASO).
The deal brings Semrush’s user base of more than 28 million marketers into Adobe’s ecosystem, pairing the platform’s discoverability intelligence with Adobe Experience Manager, Adobe LLM Optimizer, Adobe Commerce, Adobe Experience Platform, and Adobe Brand Concierge. Adobe says the combined offering will allow businesses to track and improve how their brands appear across both traditional search engines and AI-powered discovery surfaces, while also strengthening engagement on owned properties.
The acquisition comes days after Adobe Summit 2026, where the company unveiled CX Enterprise, an end-to-end agentic AI system that orchestrates the full customer lifecycle through AI agents, agent skills, and Model Context Protocol (MCP) endpoints. Semrush now slots into the brand visibility pillar of that system, joining a product suite that Adobe has organised around three interconnected priorities: content supply chain, customer engagement, and discoverability.
Anil Chakravarthy, President of Adobe’s Customer Experience Orchestration Business, said the integration would give marketers a single view of how their brands are discovered and engaged with, from initial visibility in search engines and large language models through to content creation, engagement, and conversion.
Brand Visibility is a C-Suite Problem
Adobe’s internal data reveals that AI traffic to U.S. retail sites grew 269% year over year in March 2026, showing how rapidly consumer discovery behaviour is migrating away from keyword-based search and toward conversational AI interfaces. Consumers are no longer just typing queries into Google. They are asking large language models to recommend products, compare services, and evaluate brands on their behalf, and AI agents are increasingly doing the same.
In a traditional search environment, brands competed on page rankings, paid ads, and metadata. In an AI-mediated environment, they need to ensure their content is accurate, authoritative, and structured in a way that LLMs can interpret and surface. The challenge is even bigger by the fact that 98% of consumers still verify AI-recommended brands through independent research before making a purchase. This means that an AI recommendation alone is not enough to convert. Brands need to hold up under scrutiny across search results, review platforms, and their own digital properties.
Adobe hopes that Semrush’s SEO tooling, combined with its own GEO and ASO capabilities, will help businesses solve that challenge. GEO focuses on ensuring content is discoverable by generative AI systems, while ASO targets the emerging layer of autonomous AI agents that are beginning to influence purchasing decisions independently of human users.
What Changes for Semrush Customers
Adobe has said it will continue investing in Semrush’s product roadmap and plans to expand its capabilities as the platforms are integrated. The company says the combined portfolio will serve businesses of every size, from small companies to global enterprises, though the tight integration with Adobe Experience Platform and AEP-powered applications suggests the most immediate benefits will flow to existing Adobe customers.
The Semrush deal also sharpens Adobe’s competitive standing against Salesforce and Microsoft, both of which have made aggressive moves in the agentic AI space. Salesforce launched Agentforce at Dreamforce in 2024 and has continued to push autonomous agent capabilities across its CRM platform, while Microsoft has embedded Copilot across its enterprise suite. Adobe’s approach differs in its emphasis on interoperability. CX Enterprise leverages open standards, including MCP and the Agent2Agent protocol, and orchestrates workflows across third-party platforms rather than replacing them.
The Semrush integration adds a capability that neither Salesforce nor Microsoft currently offers in a native, tightly coupled form: end-to-end brand visibility intelligence that spans traditional search, LLM-driven discovery, and agent-mediated commerce.
