Every marketing team has a list of jobs that come back every week. Pull the numbers. Build the links. Write the alt text. Answer the same customer questions. None of these tasks is particularly difficult, but together they can consume hours that would be better spent on planning campaigns, understanding customers, and improving results.
These are precisely the kinds of tasks AI can help with. They follow predictable patterns, rely on information you already have and rarely require complex decision-making. Once you establish a process, you can reuse it instead of starting from scratch every time.
Salesforce's State of Marketing research found that marketers expect AI agents to save them up to eight hours a week. The opportunity is not necessarily to automate entire marketing functions, but to remove the smaller operational jobs that slow teams down.
Here are ten repetitive marketing tasks you can hand over to AI today, with reusable prompts for each and the human checks needed to maintain quality.
TL;DR
- AI can handle repetitive marketing operations such as weekly reporting, client updates, metadata creation, social media variations, UTM links and inbox sorting.
- The best tasks to automate are predictable, frequent and easy for a human to review.
- Keep people responsible for strategy, sensitive customer communication, public approvals and financial decisions.
The Best Marketing Tasks to Automate Are Repetitive, Structured and Easy to Check
The most useful AI workflows start with tasks that have clear inputs and predictable outputs. You provide the information, explain what needs to be done and specify the format you expect in return.
The prompts below are templates. Replace the information in square brackets with your actual data, instructions or requirements. You can also adapt them to your preferred AI assistant, whether that is Claude, ChatGPT or another tool.
If you want ideas focused on content creation and strategy, our list of 15 marketing tasks a small team can hand to Claude covers those. This guide focuses on the operational chores that are often overlooked.
1. Weekly performance summaries
Reporting is one of the easiest places to start because marketing teams already collect most of the information AI needs. Instead of manually comparing figures and writing updates, you can use AI to organise the numbers and produce an initial interpretation.
Marketing reports often require someone to pull figures from Google Analytics, advertising dashboards, email platforms and other tools before explaining what changed.
AI can take over the summarising stage. Export the relevant figures, provide the previous reporting period for comparison and ask it to identify the most significant changes. This is particularly useful for teams that prepare weekly internal reports or client updates.
| Prompt | Using the data provided for [reporting period] and [comparison period], write a [number]-point performance summary. Highlight the most significant improvements, declines and unexpected changes. Include the relevant figures and suggest [number] areas worth investigating next. Use plain English and avoid making assumptions about the causes of changes. |
| Human check | Verify every figure against the original analytics or advertising dashboard. Also check whether the suggested explanations are supported by the data. A correlation or change in performance does not automatically establish its cause. |
2. Client status updates
Agencies regularly turn completed tasks, outstanding work and upcoming deadlines into client-facing updates. Although these emails are important, writing them individually can become an unnecessary administrative burden.
You can give AI a task list or project update and ask it to turn the information into a concise email. This is especially useful when account managers need to communicate progress across several clients without spending too much time on routine correspondence.
| Prompt | Turn the following project notes into a [tone] client update email. Include completed tasks, outstanding items, upcoming activities and any deadlines the client needs to know about. Keep it within [word limit] words and address the client as [name]. Do not include internal discussions or information that has not been approved for sharing. |
| Human check | Check that the update accurately reflects the project's status. Remove internal notes, confidential information and promises the team cannot guarantee. Confirm dates and deadlines before sending. |
3. Writing image alt text in bulk
Adding alternative text to images is an important part of making websites more accessible and helping search engines understand visual content. However, writing descriptions for dozens or hundreds of images can become tedious.
AI can generate initial descriptions from uploaded images or image files accompanied by relevant product information. You can also provide naming conventions to ensure consistency across your website.
| Prompt | For each image provided, write descriptive alt text of no more than [character limit] characters. Identify [relevant visual details, such as product name, colour or distinguishing features]. Follow these accessibility guidelines: [insert guidelines]. Return the results in a table with the corresponding image filenames. |
| Human check | Compare the descriptions with the actual images. Remove unnecessary keywords, check that important visual details are accurate and ensure decorative images are handled appropriately rather than given redundant descriptions. |
4. Updating meta titles and descriptions for old pages
An older website can have hundreds of pages with missing, outdated or poorly written metadata. Reviewing them individually is time-consuming, but leaving them untouched can mean missing opportunities to improve how pages appear in search results.
AI can help generate revised titles and descriptions using a spreadsheet of URLs, existing page information and target keywords. This allows you to process several pages in one sitting rather than opening each page individually.
| Prompt | Using the following [URLs, page summaries and target keywords], write a meta title of no more than [character limit] characters and a meta description of no more than [character limit] characters for each page. Keep the descriptions accurate to the page content, use the target keyword naturally and avoid repetitive openings. Return the results in a table alongside the original URLs. |
| Human check | Check the character limits, search intent and accuracy of each description against the actual page. Make sure AI has not introduced information, features or promises that the page does not contain. |
5. Creating social media post variations
Repurposing existing content is another repetitive job that can be delegated to AI. A single article, report or campaign announcement can provide material for several social media posts.
Rather than asking someone to rewrite the same information for every platform, provide the original material and specify the platforms, formats and audience you want to reach. AI can produce initial variations that your social media manager can refine.
| Prompt | Using the following [article, campaign or announcement], create [number] posts for [platforms]. The target audience is [audience], and the intended tone is [brand voice]. Give each variation a different opening or angle. Respect each platform's format and character limits. Do not introduce claims or statistics that are not supported by the original material. |
| Human check | Review each post for brand voice, platform suitability and factual accuracy. Check that the variations are genuinely different rather than minor rewrites of the same message. |
6. Building UTM-tagged links
UTM parameters help marketers identify where website traffic comes from and which campaigns generate visits. However, manually building and checking multiple tracking links can be repetitive, especially when a campaign runs across newsletters, social media, paid advertising and other channels.
AI can generate these links from a standard set of parameters and organise them in a spreadsheet for the team.
| Prompt | Create UTM-tagged URLs for the following [number] destination links. Use these parameters: source: [source], medium: [medium], campaign: [campaign name], content: [content variation, where applicable]. Return the original URL, completed tracking URL and parameters in a table. Follow consistent naming conventions and encode the URLs correctly. |
| Human check | Test the generated links and check that the destination URLs remain intact. Verify that the parameters are consistent and that the campaign naming conventions match those used in your analytics platform. |
7. Generating advertising copy variations for testing
Creating multiple versions of advertising copy is necessary when testing different messages, hooks and calls to action. But writing every variation manually can slow down campaign preparation.
AI can generate several alternatives using an existing product description, campaign brief or successful advertisement as a reference. You can specify character limits and ask for different messaging angles to make the results more useful for testing.
| Prompt | Using the following product information, generate [X number] advertising headlines of no more than [character limit] characters and [X number] descriptions of no more than [character limit] characters. Explore these messaging angles: [list angles]. Use [brand voice] and avoid unsupported claims, exaggerated promises, or prohibited language. Return the variations in a table. |
| Human check | Verify product claims, pricing and promotional details. Check the character limits and review the copy against the advertising policies of the relevant platform before publishing. |
8. Drafting responses to customer reviews
Businesses with active Google Business Profiles, Trustpilot pages and other review platforms can receive dozens of reviews every week. Responding consistently matters, but writing individual replies takes time.
AI can prepare first drafts based on the reviewer's comments and your brand's response guidelines. It can also help maintain a consistent tone across positive, neutral and negative feedback.
| Prompt | Draft responses to the following [number] customer reviews. For positive reviews, acknowledge a specific detail mentioned by the customer. For negative reviews, recognise the concern, respond empathetically and suggest [approved next step or support contact]. Follow this response policy: [insert guidelines]. Keep each response within [word limit] words. |
| Human check | Read every response before publishing. Check that the reply addresses the actual complaint, does not disclose customer information and does not promise refunds, compensation or other actions that have not been approved. |
9. Sorting and prioritising marketing inboxes
A busy marketing inbox can quickly become difficult to manage. Campaign enquiries, partnership proposals, customer complaints, sales leads and routine notifications all compete for attention.
AI can help categorise incoming messages, identify those that need immediate attention and prepare draft responses for routine enquiries. This is particularly useful for small teams that do not have dedicated people managing different inboxes.
| Prompt | Review the following [number] emails and sort them into these categories: [urgent response], [can wait], [sales or partnership lead] and [no action required]. Explain briefly why each email belongs in its category. Draft replies for messages in the [specified category] group using [brand voice and response guidelines]. Flag anything involving complaints, financial matters, legal issues or sensitive information for human review. |
| Human check | Review the categorisation, especially sales opportunities and urgent messages. Read every drafted reply before sending, and handle sensitive customer matters personally. |
10. Managing account and profile administration
Agencies managing several social media and advertising accounts spend considerable time setting up and organising client workspaces. This includes creating browser profiles, assigning proxies, grouping accounts and maintaining consistent naming conventions.
Some of these tasks can be handled through AI assistants connected to management tools. For example, with the Incogniton MCP server, you can connect Claude to Incogniton and use natural-language instructions to manage browser profiles.
Instead of navigating through multiple settings manually, you can describe the changes you want and have Claude prepare the necessary actions.
| Prompt | In my Incogniton account, create a profile group named [client name]. Create [number] profiles for [platforms or accounts] using the naming convention [naming format]. Apply the tag [tag name] and [proxy requirements]. Before making changes, show me the proposed profiles, settings and any existing profiles that may be affected. Do not apply changes until I approve the plan. |
| Human check | Review the proposed configuration before approving changes. Confirm profile names, group assignments and proxy settings, and check that existing profiles will not be altered or deleted unintentionally. |
How to Spot a Task Worth Handing Over to AI
Not every marketing activity should be automated. Some tasks take longer to explain to an AI assistant than they would to complete manually. Others require context and judgement that a prompt cannot adequately capture.
Tasks like strategy development and positioning, final approval of public communications, sensitive customer issues, and budget and spending decisions should never be handed over to AI.
The best candidates for automation generally share three characteristics:
- They repeat frequently. Daily and weekly tasks offer the greatest opportunity for time savings because you avoid repeating the same manual process.
- They follow a predictable pattern. If you can document the steps, required inputs and expected output, you can probably turn the process into a reusable AI workflow.
- Mistakes are easy to identify. Tasks that require a straightforward review are better starting points than those where an error could create serious consequences.
Start by listing the activities your team repeats every week. Estimate how much time each takes, then identify the ones with clear instructions and straightforward quality checks. Those are the tasks worth testing first.
A few additional practices can make your AI workflows more reliable:
- Give AI real inputs. Provide actual campaign data, project notes, product information and brand guidelines. Generic instructions produce generic results.
- Maintain a style sheet. Document your brand's tone, preferred terminology, formatting rules and words to avoid. Reuse these instructions across your prompts to keep outputs consistent.
- Keep client accounts separate. If AI assistants or team members work across several client logins, use separate browser profiles to keep sessions, cookies and browsing data isolated.
READ MORE: Managing Team Permissions: Scaling Without Sharing Passwords - Incogniton
Conclusion
The easiest way to introduce AI into your marketing operations is to start with the repetitive work that takes time but requires little decision-making. Weekly reports, client updates, metadata, tracking links, review responses and account administration are all practical starting points.
You do not need to automate everything at once. Pick three tasks, create reusable prompts, establish a review process and measure how much time you save. Once those workflows are reliable, you can extend them to other parts of your operations.
If managing client accounts is one of your recurring administrative tasks, you can try Incogniton for free. Its free plan includes 10 browser profiles, giving you a way to organise separate client environments while exploring AI-assisted administration with Claude.
