AI search strategy: 4 layers of brand visibility
An AI search strategy starts with diagnosis. Rewriting content won‘t help if AI can‘t reach your site or keeps describing your brand wrong.
AI is at the heart of modern technology. From artificial intelligence fundamentals to machine learning to practical applications, explore everything you need to understand AI’s role in today‘s digital landscape.
An AI search strategy starts with diagnosis. Rewriting content won‘t help if AI can‘t reach your site or keeps describing your brand wrong.
Fixing incorrect brand facts in AI search took Feature Upvote days. Here‘s how it got Google‘s AI Overview to say yes to its API.
Scan your website in Site Audit, connect Semrush’s MCP to Claude, and have Claude analyze the audit data.
Learn how to build an AI visibility dashboard that shows whether the pages AI cites are the ones earning Google clicks.
AI answers pull brand facts from the pages they cite. Use Semrush data and Claude Code to get on those pages.
Agentic SEO hands defined workflows to an AI that pulls its own data. See the free Claude setup we used.
Copy-paste Semrush MCP prompts for keyword, competitor, content, and reporting work, tested on a live site.
Learn how to build an AI SEO agent from scratch to automate important tasks like keyword research and topic clustering.
We reviewed the best AI search engines so you can choose the right one for your needs.
We surveyed 2,338 US consumers: 65% of AI users have replaced some product-related Google searches with chatbots, and 4 in 10 dislike chatbot ads.