Training course · Perplexity · Content & PR

Perplexity for Content and PR Teams

AI-powered research with Perplexity: cited answers, source control, Spaces, Deep Research and systematic fact-checking.

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

“Perplexity 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 Perplexity in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Content & PR.

Perplexity combines language models with live web search and delivers answers backed by numbered citations. That makes it particularly suited to work where currency and traceability matter: market and competitor monitoring, research into regulation and standards, supplier and partner due diligence, or preparing decision papers. In this practical day you learn to phrase research questions precisely, steer the choice of sources deliberately and use follow-up questions to turn an initial answer into a robust research result.

You work with Spaces, where you group research on a topic, add your own files and set instructions for the team. With Deep Research you produce extensive reports that evaluate many sources and bring them together in a structured way. Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information. We also address data protection and licensing questions for business use. You leave with a reusable research process tailored to your own function.

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 phrase precise research questions and steer the choice of sources deliberately.
  • You assess sources by origin, currency and reliability and trace claims back to the original.
  • You organise research in Spaces and combine web sources with your own documents.
  • You use Deep Research to produce structured reports and decision support.
  • 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 of AI-powered research
  • How it works: language model, live web search and citations
  • How it differs from a classic search engine and a general chat assistant
  • Framing research questions precisely: time frame, region, source type
  • Follow-ups and drilling down instead of one-off queries
Module 2 Steering and assessing sources
  • Narrowing sources: web, academic literature, your own files
  • Targeting primary sources, official websites and specialist publications
  • Assessing source quality: origin, currency, vested interests
  • Tracing quotes and figures back to the original source
Module 3 Spaces and teamwork
  • Setting up Spaces for topics, projects or client requests
  • Uploading your own documents and combining them with web sources
  • Storing instructions for consistent output formats
  • Sharing research and turning it into pages or reports
Module 4 Deep Research and structured reports
  • Tackling broad questions with Deep Research
  • Producing market overviews, competitor comparisons and topic briefs
  • Turning results into tables, side-by-side comparisons and executive summaries
  • Recognising the limits of in-depth research and refining results
Module 5 Fact-checking, data protection and workflow
  • Systematic fact-checking: counter-research and spotting contradictions
  • Typical failure patterns: outdated, misattributed or fabricated details
  • Data protection, enterprise licences and handling confidential queries
  • A reusable research process and source documentation
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

Experience with online research in a professional context; no prior AI knowledge is required. 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 Perplexity account; we recommend Pro or Enterprise access to use Spaces with files and Deep Research in full.

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.

  • Thu, 26 November 2026 Online Request
  • Wed, 2 December 2026 Hanover Request
  • Wed, 16 December 2026 Online Request
  • Tue, 12 January 2027 Munich Request
  • Tue, 19 January 2027 Online Request
  • Mon, 25 January 2027 Stuttgart Request

Frequently asked questions

How does Perplexity differ from ChatGPT or a search engine?

A search engine returns a list of links, and a general chat assistant often answers from its training data. Perplexity searches the web at the moment you ask, summarises what it finds and backs each statement with citations. That makes it particularly well suited to current, verifiable research – although you still need to assess the sources yourself.

Can I rely on Perplexity's citations?

Citations make verification much easier, but they do not replace it. Occasionally a statement is attributed to a source that does not say quite that, or an outdated page is used. In the course you learn a lean fact-checking routine that lets you quickly verify critical statements against the original source.

Is Perplexity suitable for confidential research within a company?

Enterprise plans offer additional commitments on data use and administration. Even so, you should not put trade secrets or personal data into queries unless your internal policy explicitly allows it. We discuss how to phrase queries so that sensitive details stay protected while the research remains useful.

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 “Perplexity 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.

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