Departments · Marketing AI in Marketing: Content from Your Documents, Campaign Reports and Visibility

Marketing tasks

The following six workflows are typical examples, not client projects. They show what AI can prepare and where a person makes the decision. Each starts with your own data and instructions, not invented claims.

1. Draft content from your documents

Product sheets, service descriptions and approved claims often sit in different files. They need to be brought together before they can be used on a website or in a post.

• Input: approved product documents, existing copy, brand guidelines and a specific brief for the new content.
• AI prepares: finds relevant details, creates an outline and drafts the copy. For verifiable claims, it cites the specific location in the supplied documents where the supporting information can be found.
• Marketing reviews and approves: facts, tone of voice, audience, usage rights and any claim without a clear source. Missing details are added or removed.
• Output: approved copy for the intended channel and a traceable list of sources used.

A draft is not ready to publish. For claims about services and product features in particular, the current internal source must remain authoritative.

2. Maintain product data for online shops and catalogues

The same product often needs copy of different lengths and entries in different fields. Technical details should remain consistent across channels.

• Input: product database, approved features, existing catalogue copy and the required fields in the online shop or CMS.
• AI prepares: places features in the relevant text fields, suggests short and longer versions, and flags conflicting or missing details.
• Product management reviews and approves: technical specifications, variants, names and changes to the authoritative product source. Marketing checks the wording.
• Output: reviewed records and copy ready to add to the online shop and catalogue.

The direction of data flow matters: a draft must not turn an unverified feature into an accepted product fact. Unclear details go back to the responsible team.

3. Produce campaign reports

Figures from several channels need to be collated and explained in a report. AI can structure the preparation without making the assessment for you.

• Input: approved exports or connected data from campaigns and website analytics, along with the agreed reporting periods.
• AI prepares: assigns metrics to campaigns, creates tables and drafts a report. It highlights missing values and unusual discrepancies.
• Marketing reviews: the underlying data, attribution, calculations and interpretation of the results. The team decides which conclusions the report supports.
• Output: a traceable campaign report with references to the underlying data.

A report should separate observation from interpretation. An increase in enquiries, for example, does not establish which activity caused it.

4. Link enquiries to their campaign sources

Enquiries arrive through forms and other channels. Their origin and purpose need to be clear before they are passed on.

• Input: a new enquiry, available campaign identifiers and the agreed CRM fields.
• AI prepares: summarises the enquiry, suggests which campaign it came from and flags missing details or cases where its origin is unclear.
• Sales reviews: the proposed campaign attribution and takes responsibility for handling the enquiry. Marketing checks whether campaign identifiers were recorded correctly where needed.
• Output: an organised enquiry in the CRM with a traceable origin and any outstanding questions.

This keeps the boundary between marketing and sales clear. AI prepares the handover. An enquiry is not classified as qualified solely on the basis of an AI assumption.

5. Prepare newsletters

Newsletters draw on topics, product information and links. Content and sending each require an approval step.

• Input: approved topics, current product information, audience, existing copy templates and intended links.
• AI prepares: drafts a subject line, introduction and body copy. It checks the draft against the supplied documents to see whether claims and links are supported.
• Marketing reviews and approves: content, tone of voice, recipients and sending. Unclear claims or outdated offers are removed.
• Output: an approved newsletter draft for the tool in use.

A draft can reduce editorial work. It does not decide who receives the message or whether it may be sent.

6. Prepare an editorial calendar

An editorial calendar brings together topics, responsible people, sources and channels. AI can organise suggestions when this information is available.

• Input: a topic list, common customer questions, existing content, planned publications and channel guidelines.
• AI prepares: groups topics, identifies overlaps, and suggests an order and suitable formats. It lists available sources and open questions for each suggestion.
• Marketing reviews and approves: priorities, responsibilities and publication. Topics without sufficient specialist input are deferred.
• Output: an editable editorial calendar showing topics, sources, open points and responsible people.

The calendar is a working document. It does not replace the decision about which topics matter to your customers and business.

Systems and channels

These workflows start with the systems that already hold your information, not with a new application. Depending on the task, data is read, drafts are returned or approved content is added. Suitable connections depend on your existing interfaces and permissions.

Website and search analytics might include Google Analytics and Search Console. These are examples, not requirements or claims about integration in your business. As at October 2026. Check details of features and availability with the relevant provider.

We first establish what data a workflow needs and who may access it. We then define where drafting ends and approval begins. AI automation may be suitable for recurring handovers. Where several steps involve checking sources and resolving questions, an AI agent can help. The systems you use remain the starting point for planning.

Approvals and brand

Copy can read well and still be wrong. Every publication therefore needs a responsible person. They check claims, sources, tone of voice, images, links and the intended channel. Only then is the content published or sent. Approval is recorded clearly within the workflow.

Tone of voice can be set out in writing: forms of address, preferred terms, spellings and phrases you want to avoid. Examples of previously approved copy help with drafting. They do not, however, authorise new factual claims. When product information changes, the underlying data must be checked before new copy is produced from it.

The use of images and written material also needs checking. The team establishes which material may be used and whether a draft contains third-party content that should not be included. The appropriate experts should be involved in legal assessments.

Article 50 of the EU AI Act sets out transparency and labelling obligations for certain AI‑generated or manipulated content. Whether a particular publication is covered, and which obligations apply, depends on the content and how it is used. A blanket notice on every AI draft does not settle the question. As at October 2026. Check the current requirements in the official source and have the specific case reviewed by the relevant experts and legal professionals. This is not legal advice.

Data: products, tone of voice and sources

The quality of the preparation depends on which sources are permitted. For product copy, the source is maintained product information, not old promotional material. Approved descriptions and current internal documents may be authoritative for company information. Written brand guidelines help define the language. We agree with you which source takes precedence if sources conflict.

Every verifiable claim should lead back to a specific source. This might be a field in the product database, an approved document or a named internal page. If the source is missing, the draft should flag the gap rather than fill it with plausible wording. This makes review easier and later changes traceable.

Not all internal information belongs in marketing copy. Data categories and access rights are defined before systems are connected. Confidential calculations or unannounced plans can be excluded. We also address the rules needed for a specific use of AI under AI and data protection. Ultimately, approval covers not only style but also what information the business shares publicly.

Visibility in ChatGPT and Google

People research businesses through search and AI assistants. These systems may draw on publicly accessible pages and other available information when generating answers. For your marketing, it therefore matters whether your services, products and company details are described clearly and accurately on your website and can be found there.

This page covers internal marketing workflows. To see what information about your business appears in AI answers, use the AI visibility check. Our GEO service page explains how we work on the structure and clarity of public content. The two topics are connected: verified internal sources help keep public information consistent. Whether or how an AI assistant mentions your business cannot be guaranteed.

Where to start

Start by taking stock: Which texts or reports follow a similar pattern each month? Where do people look for information or transfer it from one system to another? At what point does the workflow need a specialist decision? A task with clear sources and a named approver is easier to define than a general wish to use AI in marketing.

For an initial discussion, an example of the current workflow, the systems involved and the roles of the people who review the output are enough. You do not need to send sensitive documents. We can discuss what data would be needed later and what should remain excluded. If you would like to describe your situation, use the contact form.