AI in Marketing: How to Choose a Useful First Project

Start using AI in marketing with one repeated task whose inputs, output and reviewer you can name. Drafting a newsletter from approved notes is a better first test than asking an agent to “grow the business.” You can compare the first task against your existing process and see where it helps.

This guide is for founders, small marketing teams and agencies deciding what to adopt. It does not assume that you need a new platform. In some cases, improving the brief or the approval process is the more useful change.

What can AI help a marketing team do?

AI can assist with research synthesis, drafting, adaptation and analysis. Whether a particular tool can access your sources, publish to a channel or retain context depends on its integrations and configuration. Ask for a demonstration of the workflow you need.

Avoid a pilot that depends on information you do not have. AI cannot recover the reason a customer bought from a spreadsheet containing only visits and impressions.

Choose between a chatbot, a workflow and an agent

A chatbot is a reasonable starting point when you can provide the inputs, review the answer and move the result yourself. For occasional drafting, that may be enough.

A workflow is useful when the sequence repeats: collect a brief, draft, review, obtain approval and schedule. Evaluate whether the tool preserves the right version and makes failures visible.

An agent can choose steps and tools within its available permissions. That flexibility creates a different review problem: you need to know what actions it may take, when it asks for approval and how you can stop it. Anthropic distinguishes predefined workflows from agents that direct their own tool use in its guide to building effective agents.

Buy the level of coordination you need. Multiple named agents are not, by themselves, evidence of better work.

A two-week pilot you can run

Use one channel, one audience and one content format. The schedule below is a proposed experiment, not a promise of measurable revenue in two weeks.

Days 1–2: establish the baseline. Pick a comparable recent task. Record preparation time, editing time, mistakes and the final output. Write down what “acceptable” means before testing the AI version.

Days 3–4: prepare the inputs. Collect approved product facts, two voice examples, customer questions, prohibited claims and the next action you want readers to take. Remove information you are not permitted to share with the provider.

Days 5–7: produce and review a small batch. Use the same brief for each approach. Track time including prompt revisions and corrections. Keep a list of recurring failures rather than quietly fixing them all and forgetting their cost.

Days 8–10: test the operational path. Confirm that approval applies to the final version, links work, dates are correct and a failed action is visible. For a publishing tool, test with controlled content and accounts before granting broader access.

Days 11–14: decide. Continue if quality meets your bar and the total process improves. Narrow the scope if only part of the workflow helps. Stop if verification takes longer than producing the work directly.

Marketing outcomes may take longer. Continue tracking qualified visits, replies or enquiries over an appropriate buying period; do not infer growth from a faster first draft.

What does AI marketing really cost?

Count software, usage, setup, review and rework. A low subscription price can hide a time-intensive process.

Illustrative calculation, not market pricing: Suppose a monthly batch costs 50 currency units in software and takes four hours of review at an internal value of 60 per hour. The total is 290. If the previous process took eight hours at the same rate, its time cost was 480. The difference is 190 before setup, integration and any quality differences.

If review takes eight hours instead, the AI process costs 530. The same tool is now more expensive for that task.

Compare cost per accepted piece or completed campaign, not cost per generated draft. See the AI versus freelancer worksheet for a fuller comparison.

Ask vendors to demonstrate these boundaries

Use your own brief in the demo and ask to see a correction, not just a successful first attempt.

• Where do product facts and brand context come from, and how are corrections stored?
• Which actions require approval? What happens if nobody responds?
• What happens if copy changes after approval?
• How are failed publishing actions reported and retried?
• Which channels and account types are supported today?
• Can you export drafts, sources and results if you leave?
• What information is retained, and which provider receives it?

Have the relevant person in your organisation review data handling and contractual requirements before supplying sensitive material. A general product claim about security does not answer whether a particular use fits your obligations.

How to judge the content

Read it as a prospective customer. Does it explain a problem you recognise? Does it give enough detail to make a decision? Can you trace important claims? Is the next step proportionate?

An AI-written guide can be useful. A human-written guide can be vague. Judge the output and evidence instead of guessing authorship from punctuation. Use the practical editing checklist on every pilot draft.

Where SEO and AI search fit

Search visibility starts with answering questions your customers actually ask. Give each article a clear purpose, make important information available as text and link related explanations so readers can continue their research.

Google states that its AI search features use the same foundational SEO practices; it does not require special AI markup. This is guidance about Google, not a guarantee about every answer engine. See Google's AI search documentation.

For your pilot, choose a question you can answer with specific evidence. Track relevant search visits and downstream actions. Keep a dated record of any AI answer citations you observe, including the query and service; visibility can vary between responses.

Your first-project worksheet

Copy and complete this before subscribing:

Task and audience:

Current time and cost:

Approved inputs available:

Output and acceptance criteria:

Reviewer and approval boundary:

Actions the tool may take:

Failure and recovery procedure:

Pilot budget and review date:

Continue, change or stop criteria:

If the acceptance criteria are still “good content,” make them more concrete. “Answers the buyer's question, uses verified product facts and needs no substantial rewrite” gives the reviewer something to assess.

FeedSquad builds marketing software, so we have a commercial interest in this category. You can apply this worksheet to FeedSquad, another tool or a manual process. The test is whether it improves the work your audience receives.