AI Marketing Kit: Briefs, Prompts, and Review Checklists

An AI marketing kit is a collection of reusable instructions: a campaign context template the AI uses to understand the goal and audience, prompts for different content types, and a review checklist that checks the output against brand and approval requirements. Without it, each session starts from scratch and the AI produces generic output that has to be corrected before it is usable.

Tools like fenbs store the kit and the brand context the team updates over time, so connected AI apps read the current version rather than one from three months ago. An AI brain for a marketing team keeps prompts, decisions, and context together rather than scattered across individual chats.

What an AI marketing kit covers

A complete kit has three components that work together. A campaign context tells the AI what the campaign is for and who it is aimed at. Content prompts tell it how to produce each specific asset. A review checklist tells you what to check before using anything.

Many teams have the prompts but not the context template or the checklist. The result is consistent prompts for inconsistent contexts, which produces output that matches the prompt but misses the campaign.

Campaign context template

The campaign context is what the AI reads before every content task in the campaign. Keep the context summary to one short paragraph when pasted in full or fill the template fields. Either approach is fine as long as the AI has the goal, the audience, and the tone before it starts writing.

Campaign: [name or project reference]
Product or service: [what is being promoted]
Audience: [who it is for, in one sentence]
Goal: [the one thing this campaign needs the audience to do or believe]
Tone: [e.g. direct and confident / friendly and informal / formal]
Avoid: [things to stay away from: jargon, specific phrases, topics]
Channel: [where this content will appear: email / social / website / print]

Drafting prompts by content type

Each content type needs a prompt that specifies its constraints. A social post has different length, format, and approval requirements from an email subject line or a product page headline.

• Social post: "[Campaign context]. Write three versions of a [platform] post for this campaign. Each must be under [word limit]. Include a call to action. Do not use hashtags unless specified."
• Email subject line: "[Campaign context]. Write five email subject lines for this campaign. Each under fifty characters. Test both a direct and a curiosity-gap version."
• Short web copy: "[Campaign context]. Write the headline and two supporting sentences for this landing page section. Lead with the benefit, not the feature."
• Ad copy: "[Campaign context]. Write a [format, e.g. display ad] with a headline under eight words and a body under twenty-five. Avoid superlatives."

Paste the campaign context at the top of each prompt so the AI reads it before the instruction. Without it, the prompts work on a generic version of the campaign rather than the specific one.

Review checklist

A review checklist tells you what to verify before using any AI-generated marketing content. It is a prompt you run on the output, not on the input.

Review the following marketing copy against these criteria:
1. Does it match the campaign goal?
2. Is the audience addressed correctly (vocabulary, assumed knowledge)?
3. Does it stay within the approved tone?
4. Does it contain any claim that requires a source or approval?
5. Does it contain any phrase on the avoid list?
6. Is the call to action clear?

For each criterion, answer Yes or No and note any issue.

[Paste copy here]

The checklist is not a substitute for human review: it is a first pass that surfaces the most common issues before a person looks at the copy. An AI that runs its own output through the checklist catches the obvious misses before they reach the approval step.

How to do this with fenbs

1. Create a free account and add a project for the campaign or the marketing function.
2. Add the context template, each content prompt, and the review checklist to Skills and prompts in fenbs.
3. Record brand voice decisions, approved phrases, and the avoid list in Decisions and rules so the AI reads them before every session.
4. Connect your AI app over MCP from Integrations so it reads the current context and decisions before each content task.
5. Update the context when the campaign changes and add a lesson when the kit produces content that needed significant rework.

For teams using AI for marketing, ai agents for marketing covers how AI agent workflows fit into a marketing function. For keeping the team's context consistent across sessions, the post on how to use ai at work looks at the broader patterns.

What the kit cannot replace

A marketing kit makes AI output more consistent and reduces rework. It does not replace the judgment call about whether a campaign message will resonate with a specific audience, or whether the timing is right, or whether the tone is appropriate for a moment in the news cycle. Those remain human decisions.

The kit is most valuable for recurring, structured content tasks: regular emails, social posts, ad variants. For strategic creative work where the specific idea matters, the AI is a drafting assistant and that campaign planning is still your work.

One way to measure whether the kit is working: track how much manual rework the AI output requires before it is approved. A kit that reduces the revision round from three passes to one is doing its job. A kit that still requires heavy rewriting on every piece means the context template or one of the content prompts needs updating. Treat the revision time as a signal about which part of the kit to improve next.