Turn Perplexity Into an AI Workforce for Your Agency
Agencies do not need another AI tool employees occasionally open.
They need Perplexity configured around the way they attract customers, sell work, deliver results, manage accounts and operate the business.
Agency Growth implements Perplexity for agencies by organizing company knowledge, creating role-specific assets, connecting approved systems and building repeatable workflows around the work the team already performs.
The work we build around
The most common agencies workflows we implement with Perplexity.
Prospect and market research
Perplexity searches the live web and returns cited answers, so your team can profile a prospect, their competitors, and their market before the first call. Every claim links back to a source your team can check.
Client onboarding
A structured research pass on a new client: their positioning, offers, competitors, and recent coverage, compiled into an onboarding brief. The account team starts week one already informed instead of spending it gathering background.
Campaign briefs
Perplexity pulls current market context, competitor activity, and audience research into a first-draft brief that a strategist refines. The research step that used to take a day can happen in minutes, with sources attached.
Content repurposing
Feed a webinar transcript, article, or report into Perplexity and turn it into outlines for other formats: social posts, email copy, or a summary page. A human edits before anything ships.
Performance report preparation
Perplexity drafts the narrative around the numbers: what changed in the market, what competitors did, and how to frame results for the client. Your team supplies the actual performance data and verifies every figure before it goes out.
Meeting summaries and next steps
Paste raw call notes or a transcript and get back a clean summary, decisions made, and an action list by owner. Account managers send follow-ups the same day instead of the same week.
Proposal development
Perplexity researches the prospect's industry, likely challenges, and competitive landscape, then drafts the situation analysis section of a proposal. Sales spends its time on the offer and the pricing, not the background research.
Quality assurance
Before work ships, Perplexity checks factual claims against current sources and flags statements that cannot be supported. It is a second set of eyes, not a replacement for final human review.
Built around how the team already works
We connect Perplexity to the way each role runs its day, inside the software your team already uses: CRM (HubSpot, Salesforce, or Pipedrive), Project management (Asana, ClickUp, Monday.com, or Notion), Slack or Microsoft Teams, Google Workspace or Microsoft 365, Ad platforms (Google Ads, Meta Ads, LinkedIn Ads), Analytics (Google Analytics, Looker Studio, or client dashboards).
Account Manager
- Build a pre-meeting brief on a client's market and recent competitor moves, with sources.
- Turn call notes into a summary, decision log, and action list the same day.
- Draft status updates and client emails from project notes, then edit before sending.
- Answer client questions about industry trends with cited, current information.
Strategist or Media Buyer
- Research audience behavior, category trends, and competitor positioning for a new campaign.
- Compare platform features and policy changes across ad channels before recommending a mix.
- Draft the research and situation sections of a strategy document for human refinement.
- Pressure-test a hypothesis by asking for evidence on both sides, with sources.
Content or Creative
- Gather source material and current statistics for an article or script, with citations to verify.
- Turn one long asset into outlines for posts, emails, and landing page copy.
- Check facts and claims in draft copy before it goes to the client.
Operations or Leadership
- Research tools, vendors, and pricing before an operational decision.
- Draft internal documentation and process write-ups from rough notes.
- Monitor industry and regulatory changes that affect clients or the agency itself.
- Prepare board or leadership updates with market context attached.
Role-specific assets we build
Prospect Research Space
A Perplexity Space with standing instructions for how your agency profiles a prospect: what to look for, what to ignore, and the exact brief format sales expects.
Client Onboarding Space
A Space configured with your onboarding checklist that produces a consistent background brief for every new client, in the same structure every time.
Campaign Brief Space
A Space holding your brief template and standards, so research-backed first drafts come out in your format instead of a generic one.
Proposal Research Space
A Space instructed to research a prospect's industry and competitive landscape and return a situation analysis in your proposal structure.
Reporting Narrative Space
A Space with your reporting voice and structure that drafts the commentary around performance data your team supplies and verifies.
Meeting Follow-up Space
A Space that converts pasted call notes or transcripts into your standard summary, decision log, and action list format.
Content Repurposing Space
A Space loaded with your voice guidelines that turns long-form assets into platform-specific outlines for human editing.
Fact-check Space
A Space instructed to verify claims in draft work against current sources and flag anything it cannot support with a citation.
Where human review is not optional
AI adoption fails when quality controls are an afterthought. These are the risks we design around from day one.
Client confidentiality. Team members paste sensitive client information into an AI tool without clear rules about what is allowed.
Set a written data policy before rollout: what client information may enter Perplexity and what may not. Use a business plan with admin controls and data retention settings, and train the team on the policy during implementation.
Publishing unreviewed work. AI-drafted content or reporting reaches a client without a human checking it.
Every workflow we implement includes a named human review step before anything is client-facing. AI produces drafts. People approve them.
Inaccurate performance claims. AI-generated report narratives state numbers or outcomes the data does not support.
Perplexity drafts commentary only from data your team provides. The account owner verifies every figure and claim against the source dashboard before the report ships.
Outdated or weak sources. Web research can surface low-quality pages, and a cited answer is not automatically a correct one.
Citations make verification fast, but they do not replace it. We train the team to check sources on anything client-facing and to prefer primary sources over aggregators.
Tool sprawl. Perplexity becomes one more subscription that three people use inconsistently while everyone else ignores it.
Implementation ties Perplexity to specific workflows with owners, shared Spaces, and expected outputs. Adoption is measured against those workflows, not login counts.
Example: a 15-person performance marketing agency
This is a hypothetical example of what an implementation can look like for a mid-size performance marketing agency. It is illustrative, not a client case study.
The agency runs paid media and content for around 25 clients. Account managers spend hours each week on background research and follow-up emails. Strategists rebuild market research from scratch for every brief. Reporting week consumes the last three days of every month. Two people already use Perplexity personally, but nothing is shared, standardized, or governed.
The implementation starts with a plan: which workflows matter most, what data rules apply, and who owns each asset. Then the team gets a workspace configured around agency work instead of 15 individual accounts used 15 different ways.
- 1Audit the current workflows: where research, briefs, reporting, and follow-up time actually goes.
- 2Deliver the Implementation Plan: prioritized workflows, data policy, asset list, and rollout order.
- 3Set up the Perplexity workspace with admin controls and the agreed data retention settings.
- 4Connect approved knowledge sources, such as Google Drive or SharePoint folders, where the plan supports it.
- 5Build the shared Spaces: prospect research, onboarding, briefs, reporting narrative, and follow-up.
- 6Train each role on its workflows, including the review steps that gate anything client-facing.
- 7Run a two-week pilot with two account teams and refine the Spaces based on real outputs.
- 8Roll out to the full team and review adoption against the workflow list after 30 days.
Frequently Asked Questions
How is Perplexity different from the search tools our team already uses?
Perplexity returns direct answers with citations instead of a list of links, and it can run deeper multi-step research on complex questions. For agency research work, that means a first draft of the answer with sources attached, rather than 20 open tabs. The difference compounds when it is configured with your formats and standards instead of used ad hoc.
Can Perplexity access our internal files and client documents?
On business plans, Perplexity can search files you upload and may connect to approved sources such as Google Drive or SharePoint, depending on plan and configuration. Part of implementation is deciding exactly which sources are appropriate to connect and which client materials stay out.
Is client data safe in Perplexity?
Perplexity's business offering includes admin controls and data retention settings, and the company publishes its security practices. Safety in practice depends on configuration and rules of use: which plan you are on, which settings are applied, and what your team is trained to paste in. We set all three as part of implementation.
Will AI-written work damage our client relationships?
Unreviewed AI output can. That is why every workflow we build ends with a human review step before anything reaches a client. Used this way, Perplexity compresses the research and drafting stages, and your team spends more time on judgment, strategy, and the client relationship itself.
Our team already uses Perplexity individually. Why would we need implementation?
Individual use means individual habits: no shared assets, no data rules, and quality that depends on who is typing. Implementation turns that into shared Spaces, agreed workflows, a data policy, and review steps, so output is consistent across the team and safe to put in front of clients.
What is the first step?
The Implementation Plan. We audit how your agency attracts, sells, delivers, and operates, then map Perplexity to the specific workflows where it earns its keep. You get a prioritized plan before any setup work begins.
Ready to put Perplexity to work in your agency?
Start with an implementation plan built around your workflows, your tools, and your team.