Use ZoomInfo with an AI Browser for Prospect Research

If you use ZoomInfo and you regularly need to research a prospect, the bottleneck is usually the same: ZoomInfo holds part of the context, but prospect research also needs signals that live outside it - on the public web, in LinkedIn, in news, in other connected apps. Strawberry is built to combine the ZoomInfo context with the rest of the browser, and run the full workflow as a companion you can re-trigger every week.

This page describes specifically how Strawberry handles prospect research when ZoomInfo is one of the inputs. It names the ZoomInfo surfaces involved, the signals the workflow actually needs, an example prompt you can paste, and what a good output looks like.

The job a sales rep, founder, or account executive is trying to do

The goal of prospect research is to decide whether a prospect is worth a calendar slot and prepare a personalised first touch. The success metric is concrete: first reply rate above 8% and a meeting booked in under 14 days from first touch. That definition matters because it shapes what ZoomInfo needs to contribute to the workflow.

What signals prospect research actually needs

For each signal below, here is whether ZoomInfo can contribute directly or whether Strawberry has to find it via the browser:

• Role tenure and seniority on LinkedIn - ZoomInfo stores or surfaces this directly. Strawberry reads it through the connected integration.
• Recent funding rounds or M&A activity - ZoomInfo stores or surfaces this directly. Strawberry reads it through the connected integration.
• Headcount growth or layoffs in the last 6 months - ZoomInfo does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Tech stack and procurement signals - ZoomInfo does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Recent content the prospect has published or commented on - ZoomInfo does not contain this directly. Strawberry uses the browser plus public sources to fetch it.
• Open job postings that reveal team priorities - ZoomInfo does not contain this directly. Strawberry uses the browser plus public sources to fetch it.

What Strawberry can do inside ZoomInfo

Strawberry can run ZoomInfo searches by company size + intent topic, pull org charts to find decision makers, and combine with public web research for account-based outreach.

ZoomInfo surfaces Strawberry uses for this workflow: contacts, companies, intent topics, Scoops, org charts.

How Strawberry runs prospect research with ZoomInfo

1. Strawberry opens the ZoomInfo contacts that contains the relevant context.
2. The companion pulls related context from ZoomInfo (companies, history, attached files) where it exists.
3. For the parts ZoomInfo does not store, Strawberry uses the browser - web search, LinkedIn, news, the prospect's website.
4. Strawberry synthesises the output in the shape this workflow needs: A one-page brief.
5. A human reviews before any external action (send, update, post). Then the approved output is saved back to ZoomInfo or your system of record.

Example Strawberry prompt

Paste this in a new Strawberry chat with ZoomInfo connected. Adjust the specifics to your actual ICP, role, or topic.

Read this ZoomInfo contacts and any linked context.
Then run a full prospect research workflow on it. Use the browser to fill any gaps not in ZoomInfo.
Return the output in the shape we use for prospect research: A one-page brief: name, role, company, ICP fit (yes/no with reason), top 3 talking points, suggested first message, 1-2 source links.
Do not send anything externally. Save the draft to me to review.

What a good prospect research output looks like

Here is what a finished output for prospect research should look like in practice. The specifics will change for your use case, but the shape should look similar:

• Anna Lindqvist - VP Marketing, Voi Technology
• ICP fit: yes (Series D scooter co, EU expansion, 1500 employees)
• Talking point 1: hired 4 paid-acquisition managers in last 90 days - clear shift toward performance marketing
• Talking point 2: spoke at SuperVenture last month on scooter unit economics
• Talking point 3: company just announced Germany pull-out - retention focus is likely a priority
• Suggested first message: short, references the SuperVenture talk, asks one specific question, no calendar link

Why ZoomInfo for this, and where to use a different tool

ZoomInfo is strong for this workflow because Strawberry can run ZoomInfo searches by company size + intent topic, pull org charts to find decision makers, and combine with public web research for account-based outreach.

Where ZoomInfo falls short ZoomInfo Intent topics must match exact strings - use lookup('intent-topics') first; rate limits hit at 5+ parallel calls.

Consider also a CRM (HubSpot, Salesforce, Pipedrive) once the prospect enters pipeline.

Common mistakes when running prospect research

• Researching prospects who don't match ICP - the brief is wasted
• Generic talking points ("impressive growth") that don't reference any real signal
• Copying public bio text instead of synthesising fit

Connecting ZoomInfo to Strawberry

ZoomInfo MCP OAuth - sandbox active; production pending InfoSec review. Once connected, the companion can read the surfaces above without re-authenticating, and any write action still requires explicit human approval the first time the workflow runs.

Caveats

Do not let any AI agent send emails, update CRM records, or change shared systems without a clear approval step. Strawberry is strongest when the workflow combines browser context with connected-app context and a human review for sensitive actions.

When ZoomInfo + Strawberry is NOT the right fit for prospect research

Skip this setup if any of the following is true:

• You don't actually need ZoomInfo signals. If everything you need lives on the public web, drop the ZoomInfo step and let Strawberry run on URLs alone - it's faster.
• A known ZoomInfo constraint blocks the speed gain: ZoomInfo Intent topics must match exact strings - use lookup('intent-topics') first.
• The buyer (sales rep, founder, or account executive) doesn't own the decision. If the brief gets handed to someone who'll redo the research, the audit-trail-in-Strawberry advantage is wasted.

3 mistakes that kill this workflow

1. Researching prospects who don't match ICP - the brief is wasted. ZoomInfo is one input. Strawberry's edge is combining it with everything else. Stop at ZoomInfo-only signals and you'd have been faster with native ZoomInfo reports.
2. Generic talking points ("impressive growth") that don't reference any real signal. Pre-check ZoomInfo for a recent touch or duplicate before Strawberry acts on the output. A duplicate hit burns the relationship.
3. Copying public bio text instead of synthesising fit. Strawberry is built so a human reviews before any external action. Skipping that review to save time is how you ship a wrong fact to a real person.

Honest tradeoff vs alternatives

You could research a prospect inside ZoomInfo alone using its native features, or with a dedicated prospect research tool. ZoomInfo alone gives you tighter data fidelity but misses every signal that lives off-platform. A specialised prospect research tool gives you better dashboards but its scope ends where its integrations end, and most of the real signal still lives on the open web.

Strawberry's edge with ZoomInfo: Strawberry can run ZoomInfo searches by company size + intent topic, pull org charts to find decision makers, and combine with public web research for account-based outreach. The price you pay: an agent run takes 30-90 seconds; a native ZoomInfo action loads in 2. For a one-off question you already know the answer to, use ZoomInfo directly. For an output you'll redo every week or every account, route it through Strawberry as a saved routine so the synthesis happens once and re-runs automatically.

What a real output looks like

• Anna Lindqvist - VP Marketing, Voi Technology
• ICP fit: yes (Series D scooter co, EU expansion, 1500 employees)
• Talking point 1: hired 4 paid-acquisition managers in last 90 days - clear shift toward performance marketing
• Talking point 2: spoke at SuperVenture last month on scooter unit economics
• Talking point 3: company just announced Germany pull-out - retention focus is likely a priority
• Suggested first message: short, references the SuperVenture talk, asks one specific question, no calendar link