:semrush_logo_icon_lavender_rgb_1024: Use Semrush API data in your AI tools

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The Semrush MCP server provides AI agents with secure access to Semrush’s public APIs. It lets users integrate Semrush data into AI tools such as Claude (browser and desktop), Claude Code, Cursor, VS Code, Gemini, Perplexity and ChatGPT.

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In simple terms, Semrush data can now power AI conversations. Users can ask AI tools about keywords, competitors, or websites and receive answers based on real Semrush data without leaving their chat or coding environment.

This is especially valuable for users who already rely on AI tools daily and want reliable, up-to-date marketing data inside the same workflow.

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June 3, 2026: Semrush launched a new MCP connector with Perplexity, allowing users to access Semrush search intelligence data directly inside Perplexity. The integration helps marketers improve brand visibility, automate SEO workflows, and use Semrush data natively within AI-powered search experiences.

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What to promote

Access to the Semrush MCP Server is now included in all subscription options of Semrush One and SEO Toolkit, allowing users to start using AI integrations right away. No separate setup or add-on is required.

This makes it an easy upgrade story: users get Semrush data + AI workflows in one place.

See how it works with :openai-black-monoblossom:OpenAI

https://youtu.be/hvVBKgTPP1U

See how it works with :perplexity-color: Perplexity

PerplexityProductStory_16x9_1.mp4

The Semrush MCP connector enables Perplexity users to access live Semrush data directly within Perplexity’s AI-native search experience and Comet browser, streamlining the connection between Semrush insights and AI-powered discovery workflows. It empowers marketers, founders and SEO teams to find answers in their search flow powered by Semrush’s trusted data, covering 28.4B keywords, 43T backlinks, 261 million LLM prompts and 808 million domain profiles.

Semrush MCP connector in Perplexity can be set up here.

Use cases

With Semrush MCP, users can pull Semrush data through their AI agents and speed up decision-making. For example: