Training course · Perplexity · Hospitality & Tourism

Perplexity for Hospitality and Tourism

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

This course connects Perplexity with the everyday processes of Hospitality & Tourism. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

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Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information.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.

In hotels, restaurants and tourism, the guest experience is everything – and it starts long before arrival. Generative AI helps teams answer enquiries quickly and in several languages, build group and conference proposals, respond professionally to reviews and produce content for websites, booking platforms and social media. AI agents can handle standard questions about arrival, parking or check-in times around the clock and pre-qualify booking requests. Behind the scenes, AI-supported analysis assists with rostering, purchasing and pricing. Especially at a time of staff shortages, AI frees up space for the personal hospitality that no technology can replace.

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?

  • Hotel management and front office teams
  • Reservations and sales departments
  • Destination management organisations and tourist boards
  • Tour operators and travel agencies
  • Food and beverage and banqueting managers

Typical challenges we address

  • Staff shortages combined with high service expectations
  • Many enquiries in different languages across numerous channels
  • Public reviews that need prompt, professional responses
  • Heavy effort for proposals, content and guest communication

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.
  • Answer enquiries and reviews with AI faster, in several languages and in your property's style.
  • Create proposals, content and guest communication efficiently with AI support.
  • Identify operational processes that AI agents and automation can relieve.

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: Hospitality & Tourism
  • Multilingual guest enquiries
  • Responding to reviews
  • Group and conference proposals
  • Content for websites and platforms
  • Automating guest communication
  • Supporting internal operations
Module 7 Data protection, quality & transfer to daily work
  • Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.
  • 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

Multilingual guest enquiries

AI drafts replies to questions about availability, facilities, arrival or special requests in the guest's language and the house style, which the team reviews and sends.

Responding to reviews

Online reviews are analysed and answered with individual, appreciative responses; recurring criticism is summarised for quality management. Complaints that need action are also forwarded to the relevant department so issues are fixed promptly.

Group and conference proposals

Key details on attendee numbers, rooms, catering and side programme become structured proposals with a running order, adjusted to the property's price lists and terms.

Content for websites and platforms

Room, package and destination descriptions, newsletters and social posts are created seasonally for each target group and optimised for search engines. Content stays consistent across all channels.

Automating guest communication

Pre-arrival emails, upselling offers, check-in information and post-stay surveys are personalised with AI and sent at the right moment through automations. Language and stay purpose are considered where consent exists.

Supporting internal operations

Training materials for new staff, standard operating procedures, draft rotas and shift handover notes are produced faster and kept up to date. Important information is not lost between shifts.

Prerequisites

Experience with online research in a professional context; no prior AI knowledge is required. Hands-on experience in hotels, food service or tourism; no technical background required.

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

Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.

Suggested dates

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

  • Mon, 23 November 2026 Online Request
  • Tue, 1 December 2026 Hanover Request
  • Wed, 16 December 2026 Online Request
  • Mon, 18 January 2027 Online Request
  • Tue, 26 January 2027 Stuttgart Request
  • Thu, 4 February 2027 Online 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.

Can an AI chatbot replace our front desk?

A chatbot can answer standard questions around the clock and pre-qualify requests. Personal service, problem-solving and genuine hospitality remain your team's job. The course shows which requests are well suited to automation and how to design a smooth handover to staff.

Don't AI review responses sound impersonal?

Only if they are generic and unchecked. AI provides a draft that addresses specific points in the review; you add personal details and decide on tone and any gestures of goodwill. You save time and still respond individually and credibly.

How much does “Perplexity for Hospitality and Tourism” 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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