Marketing Assistants are software tools that handle routine marketing tasks so teams can spend time on strategy and creative work. These AI marketing tools take instructions in plain English and can do things like research leads, write emails, or pull data from different systems. A marketing team might tell the tool to find companies in a specific industry, grab their contact details, and draft personalized outreach messages for each one.
The technology works by connecting to your existing tools through APIs, pulling information from your CRM, email platform, spreadsheets, and company databases. These Marketing productivity tools use different AI models depending on what you need them to do. Some tasks work better with OpenAI's models, others with Claude or Gemini. You can set up sequences where one action triggers the next, like finding a lead, researching their company, then creating a tailored email without any manual steps in between.
Marketing automation platforms have been around for years, but those mostly handle scheduled tasks like sending newsletters to your email list. Marketing Assistants are different because they can handle judgment calls and research tasks that used to need a person. Instead of just sending the same email to 1000 people, these tools can write different emails for each person based on their company, role, or recent news. Some work as standalone platforms that can control multiple tools you already use, while others let you review and approve actions before they happen.
Companies use these tools for lead generation, content creation, and customer outreach. A sales team might have one find potential customers on LinkedIn, gather information about their companies, and write introduction emails that reference specific details about each prospect's business. Content teams use them to turn meeting recordings into blog posts, then create social media versions of that content. Marketing workflow automation like this lets small teams handle workloads that used to require much larger departments, and the technology keeps getting better at handling complex, multi-step projects.