Ebook
How CMOs build a system that wins in AI search

Ebook
How CMOs build a system that wins in AI search

AI search is changing how buyers discover and evaluate brands, putting new pressure on marketing leaders to understand and improve their visibility across AI-generated answers.
Yet many marketing organizations still manage GEO through periodic audits and disconnected content optimization efforts. As AI search evolves, CMOs need a more consistent approach to turning visibility intelligence into action across their teams.
The GEO Operating Playbook: How CMOs Build a System That Wins in AI Search provides a practical framework for establishing that approach. Built around a four-stage Monitor → Decide → Act → Measure operating loop, the playbook shows marketing leaders how to make GEO a continuous, governed part of their marketing operations.
The playbook covers four essential areas for building an enterprise GEO operating model:
With a practical framework for organizing GEO across the enterprise, the playbook helps CMOs build a more scalable approach to improving AI search visibility.
Download The GEO Operating Playbook to bring continuous AI search optimization into your marketing operations.
The GEO Operating Playbook is a guide from Jasper that helps CMOs establish a repeatable approach to generative engine optimization. It introduces a four-stage Monitor → Decide → Act → Measure framework for connecting AI search visibility insights to content improvements and ongoing performance evaluation.
The playbook is designed for CMOs and enterprise marketing leaders responsible for AI search strategy. It's especially relevant for organizations looking to establish clear GEO ownership, coordinate content optimization across teams, and scale execution with AI agents.
Generative engine optimization (GEO) focuses on improving how brands and their content appear in AI-generated answers, while traditional SEO focuses on organic search visibility and rankings. GEO involves monitoring brand mentions and citations across AI engines, then using those insights to inform content optimization.
AI agents can help teams analyze visibility data and execute content optimization workflows across larger content libraries. A structured operating model establishes where agents can act and when human approval is required, helping organizations expand GEO execution while maintaining brand standards.




