Kontent. ai today announced the launch of new agentic SEO and Generative Engine Optimization (GEO) workflows, following early results that demonstrate organizations can cut the time needed to audit and optimize content performance by up to 80 percent while boosting organic reach and answer engine visibility without additional media expenditure. BRNO, CZ / ACCESS Newswire / January 21, 2026 / As content inventories expand into hundreds of thousands of items, search engine optimization (SEO) has become a major operational expense. Manual audits, spreadsheet-driven updates, and disconnected tools make it challenging for teams to maintain content accuracy, structure, and discoverability across both traditional search engines and AI-driven discovery platforms. Kontent. ai’s new agentic workflows aim to transform this cost and effort dynamic. Integrated directly within the CMS, autonomous agents continuously review content for missing or inconsistent metadata, unclear structure, outdated terminology, and weak internal linking. Rather than merely reporting issues for manual correction, these agents can suggest enhancements or automatically implement updates within Kontent. ai, minimizing the need for repeated audits and manual rework. In initial use cases, a global organization managing over 400, 000 content items leveraged these workflows to automate SEO metadata audits and implementations, reducing optimization time by as much as 80 percent.

When applied consistently across editorial processes, teams achieved measurable outcomes including a 30 percent increase in organic impressions and broader keyword coverage, all without raising paid media budgets. The same agent-driven methodology also supports Generative Engine Optimization (GEO), ensuring content structures are sufficiently clear for AI systems to accurately interpret as buyers increasingly turn to generative search and assistive technologies early in their discovery journey. Unlike SEO tools applied post-publication, Kontent. ai embeds optimization directly into the content model, establishing rules once and applying them universally. Agent-driven modifications are checked against editorial governance, enabling teams to scale optimization efforts without adding operational complexity or risk. “As SEO and AI-driven discovery converge, optimization can no longer rely on manual effort, ” said Ian Norton, VP Marketing at Kontent. ai. “By integrating agentic SEO and GEO directly into content operations, we help teams lower costs, enhance performance, and maintain control at scale. ”