A marketing AI agent is an AI system that runs a marketing job in steps, such as researching leads or scheduling posts, using the apps you connect to it. This guide covers 7 of them, from lead research to social media, and the tools each one is built with. The full visual guide is also in the AI Central Library.
For each agent you get the job it does, the steps it runs and the tool stack behind it, so you can pick the one that matches work you already do every week.
We publish AI systems like this for 300,000+ senior professionals at AI Central, and more of them live in the AI Central Library.
Why a chatbot alone doesn't run your marketing
A chatbot answers a question. Most marketing work is not one question. It is a chain of steps across different apps: find the leads, research them, write the email, send the follow-up, log it in the CRM.
Done by hand, every step means copying from one tab into another. An agent runs the steps in order and moves the information between the apps for you. That is the difference between asking AI for help and handing it a job.
The 7 marketing AI agents and how they work
1. Lead research agent
Give it your ideal customer profile. It finds prospects, researches their companies, collects the useful data and qualifies the leads.
Build with: n8n, Perplexity, Google Sheets and HubSpot.
2. Cold email agent
It writes personal outreach for many leads at once. It finds leads, researches each one, writes a personal email and sends follow-ups.
Build with: n8n, Apollo, OpenAI and Gmail.
3. Competitor agent
It watches your competitors for you. It finds changes on their websites, analyses their new content and sends you a summary.
Build with: n8n, Firecrawl, OpenAI and Slack.
4. Market research agent
It turns research into a report. It searches the web, collects sources, analyses the information and writes a market report.
Build with: n8n, Perplexity, Google Sheets and Google Docs. For research prompts you can use straight away, see these 10 Perplexity prompts.
5. Content research agent
It finds content ideas. It monitors trends, finds the questions your audience asks, collects ideas and writes a content brief.
Build with: n8n, Reddit, Google News, OpenAI and Notion.
6. Content repurposing agent
It turns one piece into many. It takes one piece of content, creates versions in other formats, adapts the message for each and saves everything.
Build with: n8n, OpenAI, Google Drive and Notion.
It keeps your social posts going out. It takes your content, creates a version for each platform, writes the captions and schedules the posts.
Build with: n8n, OpenAI, Buffer and Google Sheets.
What actually changes
Before: you do every step yourself and move the information between apps by hand. After: the agent runs the steps and you check the result.
Look at what each step does before you switch an agent on. Most steps only read or draft: research, analysis, briefs, reports. Two agents act on their own. The cold email agent sends follow-ups and the social media agent schedules posts. Those are the steps to keep your approval on, as Chapter 27 of the AI Bootcamp explains.
If you have not set up your AI assistant yet, start with how to set up ChatGPT, Claude and Copilot. For more guides like this one, browse the AI Central Library.
Frequently Asked Questions
What is a marketing AI agent?
A marketing AI agent is an AI system that runs a marketing job in a series of steps, using connected apps. For example, a lead research agent finds prospects, researches their companies and qualifies the leads.
What tools do I need to build a marketing AI agent?
All 7 agents in this guide are built with n8n, combined with the apps for the job: for example Perplexity and Google Sheets for research, Apollo and Gmail for outreach, or Buffer for social posts. Most also use OpenAI for the writing and analysis steps.
Can an AI agent send emails or publish posts on its own?
Yes. The cold email agent sends follow-ups and the social media agent schedules posts. Keep your approval on any step that sends, publishes or changes something other people see.
Where can I get the full guide?
You can flip through it above, or read it in the AI Central Library.






