AI & Workflows that Actually Drive Growth | Allbound Revolution Ep #6

Allbound Revolution Podcast Ep #06: Automating Smarter, Not Harder: AI & Workflows that Actually Drive Growth

In the sixth episode of The Allbound Revolution,Tamara Salamonovitz, Nathan Thompson, Colt Steingraber, and Franciso Aguilar break down how to use AI to save time, make AI creative and engaging, pair data enrichment with AI for hyper-personalized outreach, and turn workflows into engines that drive revenue.

Check it out! 👇

5 Minute Rundown:

Stop Using AI Just for Blog Posts

Most people think AI is just for writing content, but that's like using a smartphone only to make calls. The real wins come from automation. Take landing pages: you can set up AI to change what visitors see based on their company. Someone from a 50-person startup sees different messaging than someone from a 500-person company.

Tools like Vector identify your website visitors, Clay enriches that data with company info, and Copy.ai writes personalized messages. Your AI knows their company size, what software they use, whether they're hiring, and what problems they probably have. 

Bad AI Results Usually Mean Bad Data

Your AI writes terrible emails because you're feeding it garbage. The teams getting real results are building what they call a "data foundation." They know a prospect's revenue, headcount, tech stack, and hiring plans before AI touches anything.

When you can tell your AI that someone visited your pricing page, uses Salesforce for sales but HubSpot for marketing, and just posted a RevOps job opening, it writes emails that actually make sense. Generic prompts get generic results. Rich data gets responses.

Train Your AI Like a New Employee

AI isn't plug-and-play. You have to teach it your brand voice, company story, and writing style. One marketer spent months feeding their company narrative into a custom GPT. Now it writes content that sounds like them, not like every other AI-generated post on LinkedIn.

Copy.ai has a "brand voice" feature where you upload examples and guidelines. Yeah, it takes time upfront. But once you train it properly, you get content that actually sounds like your brand instead of a robot trying to be helpful.

Use AI for the Stuff Nobody Wants to Do

Smart content creators use AI for maybe 25% of their process. But that 25% used to take 80% of their time. All the research, competitive analysis, and first drafts that make you want to quit marketing.

One team built workflows that automatically research competitors, find content gaps, and optimize for chat search tools like Perplexity. Another created a searchable database of all their content so sales reps stop asking "what do we have on this topic?" AI handles the grunt work. You handle strategy, editing, and the creative stuff you actually got into marketing to do.

Your Content Won't Sound Generic If You Actually Edit It

If your AI content sounds robotic, that's on you, not the AI. Bad AI content gets published because someone hit "post" without checking it first. The marketers who are winning with AI still have humans doing the important stuff: coming up with the strategy, editing the output, and deciding what actually gets published.

Humans handle strategy and creative direction, AI does the research and first drafts, then humans edit and publish. You're not replacing creativity, you're just getting rid of the tedious research and writing tasks that eat up your day. AI just gives you more time to actually be creative instead of spending hours on stuff a computer can do in minutes.