Training course · Perplexity · Sales

Perplexity for Sales 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

This course connects Perplexity with the everyday processes of Sales. 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Quality is a key focus: you learn to assess sources, cross-check claims and recognise typical failure patterns such as outdated or misattributed information.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 sales, the quality of preparation and customer communication decides whether a deal closes. Generative AI helps sales teams spend more time with customers and less on admin. AI assistants research companies and contacts from public sources, prepare call guides, draft personalised emails, summarise meeting notes and create proposal drafts. AI agents and automation maintain CRM data, prioritise leads and remind reps about follow-ups. For sales leaders, pipeline analysis and forecasting become faster and more transparent. The key is to use AI to support genuine relationships rather than mass, impersonal outreach. With clean CRM data, clear processes and privacy-compliant tools, AI becomes a productivity lever across the entire sales cycle.

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?

  • Account managers and key account managers
  • Business and sales development representatives
  • Sales managers and directors
  • Inside sales and sales operations
  • Pre-sales and solution consultants

Typical challenges we address

  • Finding time for research and preparation alongside day-to-day business
  • Keeping CRM data complete and up to date
  • Creating tailored proposals and tender responses quickly
  • Assessing pipeline and forecast realistically

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.
  • Prepare customer meetings faster and more thoroughly with AI.
  • Create personalised outreach, proposals and follow-ups efficiently and authentically.
  • Automate CRM maintenance and pipeline analysis in compliance with the GDPR and marketing rules.

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: Sales
  • Account research
  • Personalised outreach
  • Call preparation and objections
  • Meeting notes and CRM updates
  • Proposals and tenders
  • Pipeline analysis
Module 7 Data protection, quality & transfer to daily work
  • Customer data in sales is subject to the GDPR and to rules on unsolicited marketing by email and phone, which in Germany are particularly strict; researching and enriching personal data requires a legal basis. Confidential customer and pricing information belongs only in approved AI environments.
  • 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

Account research

An AI assistant summarises public information on target companies, such as annual reports, press releases and job ads, and derives likely challenges, stakeholder roles and conversation starters.

Personalised outreach

Research and product knowledge are turned into individual emails, LinkedIn messages and follow-ups that address the customer's situation instead of sending generic templates.

Call preparation and objections

AI creates call guides with discovery questions, typical objections and suitable responses and simulates sales conversations as role plays to prepare for difficult meetings.

Meeting notes and CRM updates

Notes or transcripts are turned into structured summaries with next steps, decision-makers and budget information and entered into the CRM as a draft.

Proposals and tenders

AI helps assemble proposal text, value arguments and answers to RFP questionnaires from existing content blocks and tailor them to the customer's requirements.

Pipeline analysis

CRM exports are analysed, stalled opportunities identified and forecast risks commented on, so pipeline reviews focus on concrete actions rather than on updating spreadsheets.

Prerequisites

Experience with online research in a professional context; no prior AI knowledge is required. You work in sales or inside sales and use a CRM system in your daily work.

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

Customer data in sales is subject to the GDPR and to rules on unsolicited marketing by email and phone, which in Germany are particularly strict; researching and enriching personal data requires a legal basis. Confidential customer and pricing information belongs only in approved AI environments.

Suggested dates

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

  • Wed, 25 November 2026 Online Request
  • Thu, 10 December 2026 Bremen Request
  • Wed, 13 January 2027 Salzburg Request
  • Fri, 29 January 2027 Online Request
  • Tue, 9 February 2027 Kaiserslautern Request
  • Mon, 15 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.

May we use AI for automated cold outreach?

AI can prepare and personalise outreach, but the legal framework stays the same: in Germany, marketing emails generally require prior consent and B2B cold calling at least presumed consent. We show how to integrate AI into your prospecting process in a legally sound way across your target markets.

How do we connect AI to our CRM?

Many CRM systems offer built-in AI features or interfaces that automation platforms can use to read and write data. To get started, exports and copy-and-paste workflows are often enough. In the course we discuss which level of integration suits your team and how to safeguard data quality.

How much does “Perplexity for Sales 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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