Perplexity Enterprise Training for Teams

Perplexity Enterprise turns everyday web research into grounded search: every answer arrives with a live citation back to the source it used. But a citation is not the same as a reliable source, and Spaces, connectors, and admin controls only serve a team when someone has configured and owned them on purpose. This training builds a repeatable search-to-brief workflow and a sourcing discipline for judging what the open web hands back. Enterprise admin and data controls keep the deployment governed from the start.

modules
6
hours
13
Contact us

Why this training

Why train on this tool?

Perplexity Enterprise is a workspace deployment of grounded search: ask it a question and the answer comes back with live citations attached to the exact pages it used. That is different from a general chat assistant, and different from the ad hoc googling most research and strategy teams already do, and it calls for a different discipline once it is running across a whole team.

None of the practices that make it trustworthy arrive configured. The team must choose citable sources and name reusable Spaces before sharing them. It also sets admin and data controls. Skip those decisions and citations go unchecked. Spaces get lost, while the workspace keeps a configuration nobody reviewed.

Over two days, teams move from a search-to-brief workflow into sourcing discipline and admin governance. Delivery runs onsite or live online. Teams whose research also runs against a bounded set of their own documents can pair it with our NotebookLM training, which covers closed, source-grounded notebooks rather than live, open-web search. The AI training catalog holds the other research and tool tracks.

Everyone reruns the search

Staff already run redundant searches across the open web, re-verifying sources someone on the team has already checked. Enterprise search that keeps citations attached turns that repeated effort into a faster, traceable habit instead of ten personal workarounds.

Does a citation make a source reliable?

No. Perplexity draws from the open web, so every citation carries the open web's own mix of authority, recency, and bias. The citation exists and traces back to a real page. Whether that page deserves the claim it's supporting is still a judgment a person has to make.

One Space, then silence

Without a shared convention, each person spins up a personal Space with separate focus and sharing settings while the next researcher on the same topic starts from zero instead of reusing what already exists.

Governed defaults don't configure themselves

Workspace-level connectors and retention settings sit beside query visibility for governed deployments. Someone has to own configuring them on purpose, or a team inherits a default nobody reviewed against its data rules.

Research judgment stays with the researcher

The person searching chooses which sources to trust and cross-checks each claim. They also know when a question needs more than one search. That judgment is teachable, and teaching it is the core of this program.

Syllabus

Training syllabus

  1. Where grounded search fits for a team

    90 minBeginner

    The module explains grounded search and how an enterprise deployment differs from consumer Perplexity. It places the tool beside existing search habits and other AI tools. The group leaves with one shared picture of its capabilities and limits. It also knows which questions need a different tool before anyone builds a workflow around it.

    • What grounded search means
    • Where it sits next to other tools
    • Questions it answers well
    • Enterprise vs. consumer Perplexity
    • First safe searches to build trust

  2. Spaces set up for a team research workflow

    120 minBeginner

    This module gets an enterprise workspace provisioned and a shared Space convention agreed. Participants then walk one research question end to end, from question to a cited answer, so the team shares a single loop instead of everyone's own habits.

    • Provisioning seats and roles
    • Naming a Space people can find
    • Scope the question first
    • Connect approved sources to a Space
    • One loop: question to answer
    • Keep a record of what worked

  3. Sourcing discipline: evaluating what the open web hands you

    150 minIntermediate

    The core discipline of the workflow: reading a citation back to its original source. Participants judge whether that source deserves the claim it supports, then cross-check before a claim leaves the workspace. The gap between a fluent answer and what its sources say is exactly what this module trains people to catch.

    • Read the full citation, past the snippet
    • Judge authority and recency for bias
    • Spot an answer that overstates
    • Cross-check across independent sources
    • Follow-up questions that stress-test
    • A checklist before anything ships

  4. From search to a deliverable

    150 minIntermediate

    Turning a checked set of searches into a brief, comparison, or report a stakeholder can act on, and knowing what still needs a human edit before any of it goes out. Generated deliverables carry the same sourcing risk as a direct answer.

    • From searches to a brief
    • Structuring comparison questions
    • Numbers and quotes need the same scrutiny as dates
    • When a deliverable needs a rewrite
    • Disclosing AI-assisted research honestly

  5. Enterprise admin under data controls and governance

    150 minIntermediate

    Admins learn what an enterprise deployment exposes and controls before keeping source material and query data inside policy, so reviewed governance becomes part of daily work.

    • Admin visibility into usage
    • Data retention and connector rules
    • What belongs in a search
    • Who owns a shared Space
    • Perplexity isn't a static product
    • Writing a policy people follow

  6. Team norms behind a measured rollout

    120 minAdvanced

    From a few enthusiasts to a team that searches well and safely. A pilot-to-rollout path depends on norms that keep sourcing discipline high. Honest metrics show research quality instead of activity and round out the module.

    • Choose a pilot with a baseline
    • A champion model for discipline
    • What to standardize, what to leave
    • Metrics beyond usage counts
    • Capstone: one governed workflow

Outcomes

Outcomes & audience

What you will learn

  • Know when Perplexity fits
  • Build a Space a team can find and reuse
  • Check the citation first
  • A sourcing habit that catches overstated claims
  • Turn a checked search into a stakeholder brief
  • Configure admin and data controls for a governed workspace
  • Confidentiality rules for every search
  • Plan a rollout with honest metrics

Who should attend

  • Research and insights teams already running competitive-intelligence searches
  • Strategy and market teams in business development that need a faster brief
  • Knowledge-management and enablement leads building the Space convention
  • IT and security staff who own the admin controls
  • Team leads piloting a governed workflow

Format

Training format

The full program runs two days, usually split into half-day sessions so delivery schedules stay intact. Onsite and live-online formats cover the same syllabus, and the practical work runs on research questions your team already handles.

Format
Onsite or live online
Duration
2 days (about 13 hours, can be split into half-day sessions)
Group size
Up to 16 participants per group
Materials
Sourcing checklist, Space-naming template, and a rollout plan
Language
English or Turkish
Certificate
Certificate of completion

About Zeo

Why Zeo

Zeo started in 2011 and now works out of San Francisco, Istanbul, Ankara, and Lisbon. We run Copilot Academy and organize Digitalzone, an international digital marketing conference. This program draws on the 10+ years of consulting and training work behind that, applied to corporate AI adoption.

  • 2011founded in Istanbul
  • 10+years of consulting and training experience
  • 3offices: San Francisco, Istanbul, Ankara, Lisbon

Keep exploring

NotebookLM6 modules · 11 hoursResearch, enablement, and knowledge teams get practical NotebookLM training: building bounded source-grounded notebooks, checking citations, generating briefings and Audio Overviews, and rolling the workflow out across a team.View trainingAI Literacy & Prompt Engineering6 modules · 13 hoursAI literacy and prompt engineering training for your whole company. Teams practice on their own workflows across ChatGPT, Copilot, and Gemini, and walk out with a shared prompt library they use again the next day.View trainingAI in Data & BI Analysis6 modules · 12 hoursSQL query drafting, dashboard narratives, data documentation, and stakeholder reporting, taught to data and BI analysts with every number checked against source before it ships.View trainingAI Training for Newsrooms6 modules · 13 hoursAI training for journalists and newsrooms: reporting research, interview transcription, verification support, editorial drafting, source protection, and correction and disclosure practice, built around a reporter's workflow.View training

Next step

Let's design the program for your team

Bring the recurring research questions and the briefs they feed. We will shape the workshop around that path from cited search to checked stakeholder output.
Contact us
Illustrated figure working on a laptop surrounded by floating tool windows

Questions

Frequently asked questions