Training course · Perplexity · Real Estate

Perplexity for Real Estate Professionals

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 Real Estate Professionals” is designed for roles such as Estate agents and sales teams, Residential and block property managers and Asset and property managers and shows step by step how to use Perplexity productively, safely and transparently in Real Estate – from the fundamentals to advanced workflows.

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Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information.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

Much of the work in real estate revolves around documents: property listings, leases, service charge statements, minutes of owners' meetings, valuation reports and an endless stream of enquiries from prospects and tenants. Generative AI takes over the routine – drafting listings from key facts, summarising declarations of division and valuation reports, answering standard questions up front and structuring repair requests. AI agents connect the inbox, property database and scheduling into end-to-end workflows. For agents, property managers and asset managers this frees up time for viewings, negotiations and owner relations. What matters is handling tenant and owner data responsibly and having an expert check every legally relevant statement before it goes out.

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?

  • Estate agents and sales teams
  • Residential and block property managers
  • Asset and property managers
  • Developers and housebuilders
  • Staff at housing companies and cooperatives

Typical challenges we address

  • A high volume of recurring enquiries from prospects, tenants and owners
  • Time-consuming drafting of listings, letters and meeting minutes
  • Extensive lease and property documentation that must be grasped quickly
  • Data scattered across property management software, email and spreadsheets

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.
  • Produce listings, tenant letters and minutes with AI much faster and at consistent quality.
  • Analyse leases and property documents with AI in a structured way and review the results professionally.
  • Design simple automations for enquiries, repair requests and reporting across your portfolio.

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: Real Estate
  • Listings from key facts
  • Pre-qualifying enquiries
  • Minutes of owners' meetings
  • Summarising contract documents
  • Structuring repair requests
  • Market and owner reports
Module 7 Data protection, quality & transfer to daily work
  • Tenant, owner and prospect data falls under the GDPR, especially tenant self-disclosures and credit documents, and belongs only in approved AI environments. Legally relevant content such as contract clauses, mandatory listing details or resolution wording must be reviewed by a qualified person.
  • 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

Listings from key facts

Floor plans, location details and specification lists become compelling property descriptions in several tones and languages, which the team then reviews and completes with mandatory details such as energy performance data.

Pre-qualifying enquiries

An AI assistant triages incoming enquiries, answers standard questions about the property and documents, asks for missing details such as household size or financing status and proposes suitable viewing slots.

Minutes of owners' meetings

Notes or transcripts are turned into structured minutes with resolution wording, voting results and an action list, which the property manager checks before circulating and adding to the record of resolutions.

Summarising contract documents

Leases, declarations of division and valuation reports are condensed into key points such as terms, indexation clauses, exclusive use rights and maintenance obligations, speeding up due diligence and property handovers.

Structuring repair requests

Free-text tenant reports are classified by trade, urgency and property, enriched with follow-up questions and turned into draft work orders for contractors – including an acknowledgement to the tenant.

Market and owner reports

AI helps draft quarterly reports for owners and investors, summarising vacancies, letting activity and maintenance work from existing data and adding clear commentary on variances.

Prerequisites

Experience with online research in a professional context; no prior AI knowledge is required. Hands-on experience in property marketing, management or asset management; no programming skills 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

Tenant, owner and prospect data falls under the GDPR, especially tenant self-disclosures and credit documents, and belongs only in approved AI environments. Legally relevant content such as contract clauses, mandatory listing details or resolution wording must be reviewed by a qualified person.

Suggested dates

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

  • Thu, 26 November 2026 Online Request
  • Tue, 8 December 2026 Berlin Request
  • Wed, 16 December 2026 Online Request
  • Wed, 20 January 2027 Stuttgart Request
  • Fri, 5 February 2027 Online Request
  • Wed, 10 February 2027 Hanover 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 I enter tenant data into an AI assistant?

Only in an environment approved by your organisation, backed by a data processing agreement and clear rules. In the course we show how to pseudonymise data, which information never belongs in public tools and how to work with placeholders without losing the benefits of AI.

Will AI replace agents and property managers?

No. AI handles drafting, triage and summaries. Viewings, negotiations, owners' meetings and legal responsibility stay with you. The gain lies in time freed up for client conversations and in faster, more consistent day-to-day processes. Error rates in routine correspondence also tend to fall.

How much does “Perplexity for Real Estate Professionals” 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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