Jasper Launches GEO Agent for Enterprise Marketers
Jasper’s new autonomous GEO capabilities help brands analyse, optimise, and continuously improve how they appear across AI-powered discovery platforms.
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Jasper, the marketing agents platform, has announced the launch of its end-to-end GEO Agent, a new autonomous agent designed to help marketing teams continuously analyse, influence, and improve how their brand appears across AI-powered search and discovery experiences.
Supported by GEO Hub, a centralised command centre for AI visibility insights, the GEO Agent continuously analyses discoverability signals, identifies visibility gaps, and executes optimisation workflows that improve brand representation, citations, sentiment, and share of voice across leading AI platforms.
As generative AI reshapes how buyers research brands and make purchasing decisions, marketers face a new challenge: AI-generated answers increasingly shape perception before customers ever visit a website.
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According to Forrester, 94% of B2B buyers now use generative AI during the purchasing process, while traditional organic traffic continues to decline.
At the same time, AI systems frequently generate incomplete, inaccurate, or inconsistently framed brand information based on fragmented signals across analyst reports, reviews, third-party sites, social platforms, and owned content.
This shift is creating a new competitive battleground around AI discoverability: not only whether brands appear in AI-generated answers, but how they are represented, compared, cited, and recommended.
Jasper’s GEO Agent is designed to help enterprises address this challenge through a continuous, closed-loop optimisation system.
While many solutions focus primarily on tracking AI visibility or generating AI content, Jasper connects visibility insights directly to autonomous execution, allowing teams to identify opportunities and operationalise improvements at scale.
“Optimising our event and media sites for AI search is a daunting, time-consuming endeavour,” said Alexis Carroll Cline, Sr. Director of Marketing at Emerald.
“Jasper’s new GEO Agent changes that, helping us update content at scale with recommendations grounded in research and aligned to the right messaging for each audience and brand. It’s an incredibly valuable tool, and I’m excited to see the impact it delivers.”
The GEO Agent acts as an always-on GEO strategist for enterprise marketing teams. It analyses how brands appear across leading AI platforms, identifies discoverability gaps, optimises existing assets, generates new content, and improves how AI systems interpret and retrieve brand information over time.
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The agent can also coordinate additional Jasper agents and workflows to help marketing teams move from insight to action across content, SEO, brand, and growth workflows.
The GEO Agent is supported by GEO Hub, which gives teams centralised visibility into key AI discoverability signals, including visibility, citation rates, sentiment, share of voice, and competitive positioning.
Together, the GEO Agent and GEO Hub give marketers an end-to-end system for monitoring, understanding, and improving their brand’s presence across AI-driven discovery experiences.
“AI is fundamentally reshaping how brands are discovered, evaluated, and recommended,” said Timothy Young, CEO of Jasper. “Most enterprises still rely on workflows designed for traditional search and static content optimisation.”
“What marketers need now is an intelligent system that not only understands how AI platforms represent their brand, but can continuously improve that representation over time. Jasper connects visibility insights directly to autonomous execution, giving enterprises a scalable way to influence how they appear across AI-driven discovery experiences.”
The launch of the GEO Agent marks the next evolution of Jasper’s marketing agents platform and the first in a new class of role-based agents built to execute complex marketing work from insight to action.
Powered by Jasper IQ, the platform embeds brand voice, governance, audience, product, and performance context directly into every workflow, helping enterprise teams scale AI-driven discoverability optimisation while maintaining consistency, compliance, and control.
