Agentic AI is quickly becoming the backbone of modern marketing strategies, reshaping how teams think about engagement across the funnel. What follows is a preview of insights from the full GTM Partners report on agentic marketing. It's a deep dive packed with frameworks, real-world examples, and practical ways to put agentic AI to work. Here, we’ll zoom in on where agentic AI fits into your marketing playbook, highlighting the inbound and beyond-inbound use cases where it delivers the most impact.

Strategic use cases for agentic AI: Where it fits in your marketing playbook

When we talk about the “agentic funnel,” it’s not just another inbound tool you tack on to your tech stack. It’s a full engagement system that stretches across the marketing journey, reaching new and existing contacts through multiple channels with unmatched speed and consistency.

That’s the big picture. But what does it actually do? Let’s break down where agentic AI shines, both in traditional inbound and in more creative, beyond-inbound plays.

Inbound use cases (your standard funnel entry points)

• Demo requests: No more waiting around for an SDR to book time. AI can instantly engage, qualify, and schedule meetings.
  
  
• Web form fills: Real-time qualification and contextual follow-up via chat, email, or SMS.
  
  
• Email clicks and replies: Intelligent re-engagement triggered by what people click or how they respond.
  
  
• Webinar registrants and attendees: Follow-up conversations tailored to whether someone actually showed up or just registered.
  
  
• Content downloads: Personalized outreach that references the topic or asset they downloaded.
  
  
• Website visitors: Target visitors based on behavioral data or fit (think ICP detection).

Marketing use cases beyond inbound

• Event engagement: From pre-event reminders to post-event follow-ups, AI can automate outreach based on badge scans or session attendance.
  
  
• Social campaigns: Instantly activate leads who engage with your posts, ads, or organic content.
  
  
• Advertising campaigns: Follow up with ad respondents who didn’t convert onsite using first-party data or retargeting signals.
  
  
• Blog and resource center visitors: Proactively reach out when someone engages with high-value content.
  
  
• Recycled and stale leads in CRM: Wake the dead. AI can re-engage contacts who went cold and surface new opportunities.
  
  
• Customer marketing: Recognize and engage existing customers who are showing interest in new features, upgrades, or add-ons.
  
  
• Direct mail or offline triggers: Bridge the gap between physical and digital campaigns with QR codes or URLs that spark AI-led follow-up.
  
  
• Account-based campaigns (ABM): Execute highly personalized outreach at the account level, tracking buying signals and adapting in real time.
  
  

The throughline here is speed and relevance. Agentic AI follows up smarter, connects dots that humans can miss, keeps leads warm without manual bottlenecks, and helps marketing teams capture opportunities the moment they happen.

If you’ve been thinking about agentic AI only in the context of inbound, it might be time to expand your view. The real magic happens when you start weaving it into the rest of your engagement strategy, so it’s working for you before, during, and long after the initial touch.

If you want to dig deeper into how Agentic AI can reshape your funnel, check out the full GTM Partners report on agentic marketing.