Agentic SEO

Why It Matters

As AI agents become primary intermediaries between users and the web, traditional click-based traffic models shift toward agent-mediated recommendations and actions. Brands that fail to make their content and services agent-accessible risk being bypassed entirely in an agentic internet, regardless of their traditional search rankings.

How It Works

Agentic SEO combines technical web optimization (structured data, accessibility, crawlability) with content strategies that satisfy agent information needs (clear facts, actions, comparisons) and brand signals that cause agents to recommend one source over another.

Use Cases

• Retail brands optimizing product data for AI shopping agent recommendations
• SaaS companies structuring documentation so AI assistants can guide users
• Publishers building agent-readable content libraries to power AI research tools
• Service businesses ensuring AI booking agents can accurately surface offerings
• B2B companies providing agent-accessible pricing and specification data

Best Practices

• Audit your site from an agent perspective: can critical content be programmatically extracted?
• Implement structured data for every content type and business action
• Allow AI crawler access and consider adopting LLMs.txt standards
• Build machine-readable data feeds for dynamic content like pricing and availability
• Create clear, agent-navigable site architectures with logical hierarchies
• Monitor which AI agents are crawling your site via server logs