SaaStr 831: How We Use 20+ AI Agents for Marketing & Go-to-Market

Podcast: The Official SaaStr Podcast: SaaS | Founders | Investors
Episode: 831
Title: How We Use 20+ AI Agents for Marketing & Go-to-Market with SaaStr's Chief AI Officer and CEO & Founder
Date: November 26, 2025
Host: Jason (SaaStr CEO & Founder), Amelia (Chief AI Officer)

Episode Overview

This episode takes a deep dive into how SaaStr utilizes over 20 AI agents across its marketing and go-to-market (GTM) operations. The conversation between CEO Jason and Chief AI Officer Amelia covers best-of-breed AI tools, implementation strategies, what’s working (and what’s not), and why AI—despite all the hype—still requires active human orchestration for top-level results. Listeners get an actionable look at real-world workflows, tool stacks, and the coming convergence of sales, marketing, and support via AI-driven platforms.

Key Discussion Points & Insights

1. The Reality of AI Agent Automation in Marketing and GTM (00:01–04:00)

• AI tools used at SaaStr: Over 20 agents, including Replit, Opus, Agent Force, Artisan, Qualified, and more.
• "AI enables better marketing—not autopilot":
  • Jason: “They automate a lot of stuff. Like they might even automate 95% of what you used to need a team to do. They don’t automate everything.” (00:01)
• AI doesn’t make marketing “go away”—you can produce more, and better, but have to guide it.
• Most companies use AI for “phase one” marketing (messaging, research), but lag on phase two (campaign analytics, creative generation, enrichment, scoring).

2. SaaStr’s Specialized Marketing AI Stack (04:00–09:32)

• SaaStr deploys the most specialized stack in marketing: a wide array of focused tools (far more than for sales).

• The team went through extensive “trial and error” to choose tools that delivered results and stuck with them in daily workflows.

• Core marketing tools:

  • Reeve: B2B image generation for collateral (e.g., realistic branded event mockups).
  • Gamma: Presentation and deck creation (especially for B2B), with automated formatting and brand consistency.
  • Higgs Field: Used for creative work; details less discussed.

• Workflow: Generate images in Reeve, build decks and collateral in Gamma, combine for personalized, polished presentations.

  Amelia (on Reeve):
  “Reev’s really good at doing mockups… When I started presenting this to the Replit team, they were like, that's cool. Like, they can visualize that they can see it.” (08:21)

3. Best Practices for AI-Enhanced Collateral Creation (09:32–16:24)

• Reeve is highlighted for B2B:

  • Unlike generic models, Reeve keeps logos and produces realistic, professional visuals, not just “goofy cartoon stuff.”
  • Great for storyboarding, event branding, and customized content that’s “sendable to folks.”

  Jason:
  “For B2B… use [Reeve] and it’s going to crush. Like, this looks real. It looks great. There’s no excuse for that goofy cartoon stuff unless that’s what you want.” (09:41)

• Gamma powers quick, on-brand presentations:

  • Offers better results than Canva for B2B decks.
  • Supports dynamic data inputs; users can create templates or start from brief bullet points.

  Jason:
  “Don’t overcomplicate this… Put [content] in the free version of Gamma and watch it build a deck for you. I bet it’s the best thing you’ve seen.” (16:24)

• Faster, more personalized output: AI enables the team to move beyond stock decks to customized assets for different clients, improving engagement and internal sharing.

4. Scaling Content Creation & Output With AI (18:00–24:39)

• SaaStr mixes multiple off-the-shelf AI tools for content automation and amplification:

  • Claude, Replit, Reeve, Higgs Field, Recall, Opus, Mosaic (for video).

• AI triples SaaStr’s content output:

  • AI is used to turbocharge original ideas, not replace them—especially by amplifying research and adding data.

  Jason:
  “What we do… is you architect the content… and use AI to turbocharge it to do more research… That's how we've tripled it.” (19:57)

• AI for outlines and structure:

  • Amelia uses Claude to organize multi-session content into actionable webinar outlines with segment-specific focus, saving time and sharpening delivery.

5. Content Repurposing and Video Automation (24:39–33:10)

• Top tools for repurposing:

  • Opus Pro: Instantly converts long-form video into AI-ranked clips for social sharing.
  • Get Recall: Transcribes YouTube content, facilitating auto-generated posts and summaries.
  • Descript (briefly mentioned): Editing/transcription.

• Workflow example:

  • Upload webinar to YouTube → Opus Pro generates and publishes best video clips → Get Recall provides transcript → Claude writes blog post/article based on transcript.

  Jason:
  “You should be doing this and you can queue up 5, 6, 8, 10 of those [clips] over the course of the month. You should be doing that with your best content or you’re kind of wasting it.” (25:08)

• Why it’s not fully automated:

  • Tools automate 95% of the workflow, but need “orchestration”—targeting, editing, selecting the best angles.

  Jason:
  “As great as these tools are, they do not enable lazy marketing. What they enable is better marketing and much more of it… If you can't put in 20 or 30 minutes a day to do this, don't start the project.” (31:22)

6. Email Marketing & The (Still) Missing “AI All-In-One” Platform (33:10–36:36)

• No fully automated AI platform exists (yet) for newsletters with personalized, human-quality voice.

• SaaStr “hacks” advanced sales AI tools (Qualified, Agent Force) for marketing automation—drip campaigns, triggered, highly personalized outreach based on actual user behavior.

• Regular newsletters still curated and written manually for quality and voice; some early-stage fully-automated newsletters run in parallel for testing.

  Jason:
  “There’s still a gap. Fully automating making those emails that our newsletters great isn’t yet aiable completely.” (34:40)

7. Convergence of Sales, Marketing, and Support (41:46–47:34)

• AI is blurring the lines between sales, marketing, and support—the same platforms and agents can increasingly handle tasks across these functions.

• Hack: Use sales “sequence” tools as marketing drip campaign engines; the high personalization creates better engagement.

• Future: Expect a true fusion of tools and workflows, with marketing, sales, and support all sharing AI-powered context.

  Jason:
  “AI is leading to convergence between sales and marketing. But in fact, it is even leading at some level to convergence between sales, marketing, and support.” (41:46)

8. Vision: Hyper-Personalized, AI-Driven Customer Journeys (45:50–47:34)

• AI should (soon) curate every customer’s journey—custom newsletters, dynamic content, and campaigns tailored to every user’s interests and behaviors.

• Mass segmentation and static content are being replaced by truly individualized outreach.

  Jason:
  “No one should be sending like two or three segments of drips. There should be a million drips that draw from all of your content like dynamically… We should be sending a million different newsletters, not three.” (46:18)

9. Orchestrating Multiple AI Agents and Customer Experience (47:34–52:50)

• On agent-to-agent handoff: SaaStr’s agents retain conversation context and can refer users across functions, often smoother than traditional multi-human support.

• Real-world vignette: Amelia describes a bad Verizon customer experience that could have been mitigated by smarter AI—which is exactly what SaaStr’s interconnected agent ecosystem aims to deliver.

  Amelia:
  “This experience is so better than the crappy experience I just had with a bunch of random human beings who actually could not [just] tell me the internet’s down.” (50:31)

• Support as lead generation:

  • AI support tools not only solve problems—they capture leads and nurture prospects automatically, underscoring the GTM convergence.

Notable Quotes & Memorable Moments

• "AI does not enable lazy marketing. What it enables is better marketing and much more of it."
  — Jason (00:01, reiterated 31:22)

• "Reev’s really good at doing mockups… I wouldn’t have been able to do otherwise… They can visualize that, they can see it."
  — Amelia (08:21)

• "If you haven't used Gamma… Don't overcomplicate this… Take five bullets on anything that you're doing, give it to Gamma and watch the agent build a deck for you. It's pretty awesome."
  — Jason (16:24)

• "The mistake a lot of folks make is they use a lot of crappy social media tools that regurgitate content… For AI to be your steroids for content creation, not to create the core nucleus that becomes trite and boring."
  — Jason (19:57)

• "You should be doing that with your best content or you're kind of wasting it… It's magical."
  — Jason (On leveraging Opus Pro for content repurposing, 25:08)

• "If you want to invest 20 or 30 minutes a day so that you could have massive output, use this playbook. But there's nothing you can just click and forget… it's not going to be great. It's going to be generic."
  — Jason (31:22)

• "AI is leading to convergence between sales and marketing… even a convergence between sales, marketing, and support. The lines get blurry."
  — Jason (41:46)

• "No one should be sending the same drips, even a segment of drip… We should be sending a million different newsletters..."
  — Jason (46:18)

Timestamps for Major Segments

• 00:01–04:00: Introduction, core idea—AI enables, but doesn’t replace, marketing effort.
• 04:00–09:32: Specialized AI stack for marketing at SaaStr, choosing best-in-class tools.
• 09:32–16:24: Reeve for B2B images, Gamma for decks; why hyper-personalization works.
• 18:00–24:39: Content automation: scaling blogs, posts, collateral with Claude, Gamma, etc.
• 24:39–33:10: Video and content repurposing with Opus Pro, Get Recall, Claude, Descript.
• 33:10–36:36: Why newsletters and email are not fully automatable—hacking sales tools for marketing.
• 41:46–47:34: The convergence trend: sales, marketing, support blending via smart agents.
• 47:34–52:50: Multi-agent orchestration for seamless customer experience; support as lead generation.

Final Takeaways

• AI agents massively amplify output and unlock new GTM strategies—but require hands-on orchestration.
• Maximum leverage comes from architecting original content and workflows, then using AI for acceleration (not full autonomy).
• The convergence of sales, marketing, and support is here—expect continued fusion of responsibilities, tools, and data.
• Hyper-personalized content, dynamic newsletters, and one-to-one drip journeys are on the horizon as AI toolsets mature.
• The highest ROI comes when teams blend human judgment and creative direction with AI’s scale, speed, and context-awareness.

Useful for: SaaS founders, marketers, and GTM teams eager to harness AI agents—but needing clear, tactical guidance on where AI provides leverage and where human effort still matters.