Agentic search optimization tools
Get your brand ready for agent-led search
Strengthen the signals that help your brand surface when AI agents research and compare options on a customer’s behalf.
Make your brand easy for AI agents to recommend
Everything AI agents need to find, understand, and choose you
Find the pages AI agents can’t reach
Check whether important pages are blocked from eight major AI crawlers. Then uncover crawlability, robots.txt, structured data, and internal-linking issues that can make your content harder for AI systems to access.
Make the important details impossible to miss
Make pricing, features, availability, policies, and next steps explicit. Check structured data, page structure, navigation, and internal links so decision-critical information is easier to find, interpret, and compare.
Find prompts your brand should show up for
Research the prompts people use to discover, compare, and evaluate products in your category. See demand, intent, difficulty, and which brands already appear for the questions that matter.
Track the impact of agentic optimization
Track prompt performance, mentions, citations, and Share of Voice over time. Then measure AI referral traffic to see whether stronger visibility is translating into more visits to your site.
Daily, weekly, and monthly data refreshes
White-label reporting
Ready-to-present competitor benchmarks
Automated email reports
Tools for agentic search optimization
Don't just take our word for it
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Marketers all over the world trust Semrush
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Used by 28M marketers worldwide
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Learn more about agentic search
Enterprise-scale agentic readiness
Validate AI bot access across millions of pages with real log data. Then track whether stronger access means stronger AI visibility.
FAQ
Agentic search is when an AI agent researches, compares, and acts on information on a user’s behalf. For example, it might compare products against a customer’s requirements, narrow the options, check pricing or availability, and help complete the next step.
Unlike traditional search, some of that evaluation can happen without the customer visiting every website being considered.
No. Agentic search builds on many of the same foundations as SEO.
AI agents still need to discover and access your pages, retrieve useful information, and understand what your products or content are about. Strong technical SEO, clear site architecture, useful content, and accurate information therefore remain important—even when an AI agent sits between your site and the customer.
Start by making sure agents can reach the pages that matter. Then make the information on those pages as explicit and easy to retrieve as possible.
Clearly surface product features, pricing, availability, policies, specifications, and next steps. Use logical page structures, useful internal links, and valid structured data where appropriate. The goal is to give agents less information to hunt for, piece together, or infer.
Yes. AI Search Health checks whether your pages are blocked from major AI crawlers used by platforms including ChatGPT, Google, Perplexity, and Claude.
You can use those findings to identify where crawler access breaks, then investigate the technical issues that may be preventing important pages from being reached.
There’s no dashboard that can show the private reasoning of an independent AI agent. But you can measure what happens around that decision.
Semrush lets you track the prompts your brand appears for, mentions, citations, cited pages, competitors, Share of Voice, and AI referral traffic. Together, these signals show where your brand is gaining AI visibility and where competitors are appearing instead.
No. Semrush cannot control which products or brands an independent AI agent chooses to surface.
What you can control is how prepared your brand is to be evaluated: whether important pages are accessible, whether product information is clear, whether relevant questions are answered, and whether competitive visibility gaps are being addressed. Semrush helps you find and improve those inputs, then track how your AI visibility changes.
Focus first on finding where agent readiness breaks across the site rather than trying to optimize millions of pages individually.
Enterprise Site Intelligence can crawl large, complex websites, render JavaScript and Shadow DOM, and simulate search and AI bots to uncover technical issues at scale. Enterprise AIO adds prompt, citation, competitor, content, and AI visibility intelligence across brands and markets.
Together, they help teams identify where AI access or visibility falls short and prioritize the parts of the site that deserve attention first.
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