AI Training · Perplexity

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

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.

01
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
02
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
03
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
04
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
05
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
06
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

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

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

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

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 training

AI 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 training

AI 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 training

AI 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

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.

Illustrated figure working on a laptop surrounded by floating tool windows

Who is this Perplexity Enterprise training built for?
Research, insights, competitive-intelligence, strategy, and knowledge-management teams that already run open-web research as part of the job, plus the IT and security staff who configure an enterprise deployment. No prior AI-tool experience is assumed, only a working familiarity with the research questions the team already handles.
What is Perplexity Enterprise, and how is it different from a chat assistant or a search engine?
Perplexity Enterprise is a workspace-level deployment of Perplexity's grounded search. It answers a question by searching the live web and attaching a citation back to the exact source it used. The training focuses on using that capability well and safely as a team.
How is this different from your NotebookLM training?
This program is scoped to open-web research: live search across the internet, with citations you check against sources you don't control. NotebookLM training covers the opposite case, a bounded, closed set of your own documents you question directly, and teams doing both kinds of research benefit from both programs.
Does this training cover admin configuration, or only how to search?
Both: one full module covers admin visibility, data retention, connector permissions, and confidentiality rules, and the rest covers the search and sourcing discipline the team practices day to day.
Can the syllabus be shaped around our stack and research workflows?
We shape it around your stack and research workflows. Before the training we run a discovery call, learn the research questions and stakeholder outputs the team actually produces, and adapt the examples, exercises, and depth to those workflows and governance context.
What is the cost?
Group size, delivery format, customization depth, and location all factor into the quote. Scope changes with every one of those four, so there's no fixed price list to point you at. A short description of the team and the goals is all we need to put a tailored proposal together.
What happens to client data in the sessions?
Exercises use approved non-sensitive material or research questions sanitized with your team in advance. We don't process confidential or client data in the training environment. Personal data follows the same boundary. The only exception is when your organization has an approved environment and data policy that explicitly allows it.
What follows the training?
Your team keeps the sourcing checklist and Space-naming template along with the rollout plan built during the sessions. We stay available for follow-up questions as the deployment matures. Optional refresher sessions can be scheduled later. None of them are automatic. You book them only if you want them.

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Perplexity Enterprise Training for Teams