Training course · ChatGPT · Content & PR

ChatGPT for Content and PR Teams

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“ChatGPT for Content and PR Teams” is a hands-on course for roles such as Press officers and PR managers, Content marketing managers and Editors and copywriters. Rather than learning ChatGPT in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Content & PR.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

Content, communications and PR teams must tell relevant stories to journalists, customers, employees and search engines with limited resources. Generative AI is changing this daily work noticeably: AI assistants research topics, develop content strategies, structure articles and white papers, draft press releases, Q&A documents and interview briefings and optimise copy for search engines and AI-powered search. Automation supports media monitoring, topic tracking and repurposing content across formats. At the same time, the demands on credibility are rising: facts must be correct, quotes must be approved and crisis communication requires sensitivity. AI is therefore a tool for research, structure and variants, while stance, quality and accountability remain with communications professionals.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Press officers and PR managers
  • Content marketing managers
  • Editors and copywriters
  • Internal communications teams
  • SEO and corporate publishing leads

Typical challenges we address

  • Producing high-quality expert content with little time and many review rounds
  • Drafting press releases and statements quickly and precisely
  • Repurposing content for search, social media and newsletters
  • Continuously monitoring and assessing media coverage and the topic landscape

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Develop content strategies and high-quality copy for different formats with AI support.
  • Produce press releases, Q&As and holding statements faster while checking facts systematically.
  • Automate media monitoring and content repurposing while respecting copyright and media law.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: Content & PR
  • Topic research and content strategy
  • Press release drafts
  • Articles and white papers
  • Content repurposing
  • Media monitoring insights
  • Crisis and Q&A preparation
Module 7 Data protection, quality & transfer to daily work
  • AI-supported communication must respect copyright, quotation rules and personality rights; quotes must never be invented and must be approved by the person quoted. Confidential information such as unpublished financial results belongs only in approved AI environments, and the EU AI Act's transparency duties apply to AI-generated text on matters of public interest.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Topic research and content strategy

An AI assistant analyses search intent, customer questions and industry trends, clusters topics and proposes a content plan with formats, audiences and key messages for the team to prioritise.

Press release drafts

From facts, quotes and background information, AI produces an inverted-pyramid draft including headline variants, boilerplate and a short version for social media.

Articles and white papers

AI creates outlines, summarises expert interviews, drafts individual sections and checks readability, flow and consistent use of technical terms, before subject matter experts sign off the content.

Content repurposing

A white paper or webinar is turned into blog posts, LinkedIn posts, newsletter sections and FAQ entries, each with adapted length, tone and call to action.

Media monitoring insights

Automations collect online media mentions; AI summarises tone, key statements and relevant journalists and drafts a daily or weekly press review.

Crisis and Q&A preparation

AI helps anticipate critical questions, draft Q&A documents and holding statements and run through crisis communication scenarios, which are then agreed with management and legal.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. You work in communications, PR or content marketing and have experience in professional writing.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

Data protection & compliance

AI-supported communication must respect copyright, quotation rules and personality rights; quotes must never be invented and must be approved by the person quoted. Confidential information such as unpublished financial results belongs only in approved AI environments, and the EU AI Act's transparency duties apply to AI-generated text on matters of public interest.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Fri, 27 November 2026 Online Request
  • Mon, 7 December 2026 Salzburg Request
  • Wed, 16 December 2026 Online Request
  • Tue, 12 January 2027 Bremen Request
  • Thu, 21 January 2027 Online Request
  • Fri, 5 February 2027 Augsburg Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

How do we prevent false facts in AI-generated copy?

AI assistants can produce convincing but incorrect statements. Work with supplied sources as context, ask for claims to be referenced and introduce a mandatory fact check before publication. In the course we develop prompt patterns and review routines that support exactly this.

Do search engines penalise AI-generated content?

Search engines primarily assess quality, usefulness and expertise, not how content was produced. Mass-produced thin content does harm rankings, however. Content that performs well combines genuine expertise, examples and data, with AI providing structure and efficiency and experts providing substance.

How much does “ChatGPT for Content and PR Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

More courses for Content and PR Teams

More ChatGPT courses

All 45 ChatGPT courses

ChatGPT · MunichChatGPT · SalzburgChatGPT · BerlinChatGPT · AugsburgChatGPT · HanoverChatGPT · BremenChatGPT · StuttgartChatGPT · KaiserslauternChatGPT · Online