Start with work that repeats, follows clear rules and is easy to check before anyone outside the team sees it. Good first jobs for AI agents for marketing are the weekly performance report, competitor research and drafts repurposed from approved content. Keep strategy, budgets, public replies and customer emails with a person.
This guide is for a marketing team of one to five people, and for the IT person who approves new tools. It also covers the Australian rules that apply and how to test an agent on last month’s work before you rely on it.
What can AI agents do for a marketing team?
An AI agent takes a task, works through several steps using connected tools and hands back a result. A chat assistant answers one prompt at a time. An agent can read a report export, pull in figures from another system and write up what it found.
That difference matters for a small team, because the value is in the busywork that crosses several tools. It also adds risk, since an agent can act on more than a single reply.
Anthropic, which makes the Claude models, has a guide called Building effective agents. It advises teams building applications with large language models to find the simplest solution possible and add complexity only when needed. It adds that this may mean not building an agent at all. For marketing, we read that as saying a saved search, a template or a built-in assistant can be the right answer for a simple job.
Reach for an agent when the job spans several tools and repeats on a schedule. Our guide to choosing an AI agent platform covers how to compare options.
Which marketing tasks should you hand over first?
Hand over tasks that pass four tests. The task repeats, it has clear inputs, a person can check the result quickly and a mistake is cheap to fix before anything is published.
Four jobs usually pass all four tests:
- The weekly report. An agent collects the numbers you already pull by hand and writes the summary. Our post on how to automate a weekly report with an AI agent walks through the setup.
- Research digests. An agent reads competitor pages, news and review sites, then writes a short digest with links. A person opens the links before anyone acts on the digest.
- Repurposing drafts. You give the agent one approved article or announcement. It drafts a LinkedIn post, a short email and a few social variations for your team to edit.
- Enquiry sorting, once privacy is checked. An agent labels incoming enquiries, suggests an owner and drafts a reply for a person to read. Enquiries contain personal information, so read the privacy part of the rules section below first. Our guide to AI triage for a shared inbox covers this job.
Each of these jobs produces a draft or a summary that a person reads first.
What should stay with a person?
Keep decisions, money and anything a customer or the public will see with a person. An agent can prepare material for these, but your team should make the call.
This table is a starting point. Adjust it to your own risk.
| Marketing task | Hand to an agent first? | Why |
|---|---|---|
| Weekly performance report | Yes | Repeats weekly, inputs are known, and you can check it against the source numbers |
| Competitor and market research | Yes | A person reads the linked sources before acting on the digest |
| Repurposing approved content | Yes, as drafts | The source is already approved, so the agent only changes the format |
| Sorting enquiries and suggesting replies | Yes, once privacy is checked | Labels are easy to compare with how your team sorts, but enquiries contain personal information |
| Brand and campaign strategy | No | It depends on judgement and context an agent does not have |
| Budget and bid changes | No | A wrong change costs money straight away |
| Replies to public comments | No | A tone mistake is public and hard to take back |
| Emails sent to customers | Not at first | Consent and accuracy rules apply, as the next section explains |
| Anything containing personal information | Not at first | Privacy obligations apply to what you put in and what comes out |
In a small team there may be nobody spare to review the agent’s output. If nobody has time to read it, do not hand that task over yet.
What Australian rules apply to AI-drafted marketing?
Three regulators have published guidance that matters here. Each summary below links to the regulator’s own page. Check with your adviser how the rules apply to you.
The Australian Communications and Media Authority (ACMA) covers marketing email and messages. Its page on avoiding spam says you must first have consent from the person who will receive your marketing messages or emails. It adds that this applies even if someone else is sending your marketing messages for you. After you get consent, your message must identify you as the sender, include your contact details and make it easy to unsubscribe. ACMA also says it is up to you to prove a person’s consent.
The Australian Competition and Consumer Commission (ACCC) covers claims. Its guidance on false or misleading claims says any claim about a product or service must be accurate, truthful and based on reasonable grounds. It says it makes no difference whether a business intends to mislead or not. That matters when an agent drafts copy, because an agent can state a feature or a result that is wrong. Check every claim in a draft against what you can prove.
The Office of the Australian Information Commissioner (OAIC) covers personal information. Its guidance on commercially available AI products says privacy obligations apply to any personal information put into an AI system. They also apply to the output where it contains personal information. As a matter of best practice, it recommends that organisations do not enter personal information, and particularly sensitive information, into publicly available generative AI tools.
That best-practice advice is about public tools. The privacy obligations themselves apply to any AI system, including an agent platform your business pays for. Before an agent handles enquiries or customer lists, check with your adviser whether these obligations cover your business and what your privacy policy allows.
How do you start in the first month?
Pick one task, test it on work you have already finished and only then let it run on new work. This keeps the first mistakes inside your own team.
- Pick one task from the list above. The weekly report is the usual choice, because you know what a correct one looks like.
- Write down the steps a person follows today, the sources they use and what a good result contains.
- Run the agent on last month’s inputs. You already have the right answer, so you can compare the two.
- Mark every difference. Fix the instructions and run it again until the output matches what you would have written.
- Run it on new work, with a named person reading every result before it goes anywhere.
- Add a second task only when the first has been reliable for a few weeks.
Decide in advance who reviews what. In a team of two, for example, the content person might review drafts. The marketing lead might review anything that mentions a price or a claim. Write the split down so nobody has to guess.
Where Xagent fits
Xagent is an enterprise agent platform by Xinference. You describe a task in plain language. Xagent writes a plan, shown as an execution graph with a card for each step, then runs it with tools.
Every tool call and result is visible while a task runs, and you can pause a running task. You can save a task as an agent and run it again or schedule it. Templates include LinkedIn post, email, content and inbound leads. Native connectors include Google (Gmail, Calendar, Drive, Maps), Microsoft (Outlook, Teams, OneDrive), Meta (Facebook, Instagram) and LinkedIn.
To test the weekly report or a research digest on your own work, book a demo.
Questions
What can AI agents do for marketing teams?
They can run repeatable, multi-step jobs such as compiling a weekly report, researching competitors and drafting versions of approved content. A person should review the result before it is used.
Which AI agent is best for marketing?
It depends on the tools you already use and the jobs you want to hand over. Test two or three options on last month’s real work and compare the results. Our guide to choosing an AI agent platform lists the questions to ask.
Can AI do marketing for you?
It can do the repeatable parts, such as reports and first drafts. Strategy, budget and judgement calls stay with people.
Can an AI agent post to social media for you?
It can draft posts, and some tools connect to social accounts. Decide in advance who checks each post for accuracy before it goes live, because the ACCC says claims on social media must be accurate too.
Try Xagent. See all use cases, or book a demo on your own workflow.
