Research an account before a call in ChatGPT

Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own accounts to see live results. Personal details in any live examples are masked or abbreviated for privacy.

The average sales rep spends 17 minutes researching an account before a call. This prompt does it in seconds. Open Lusha in the ChatGPT Marketplace, paste the prompt below, and get back a complete account brief — verified firmographics, live buying signals, key contacts with direct dials, and a specific reason to reach out today — without opening a single other tab.

How to start

1

Open Lusha in ChatGPT

Go to the ChatGPT Marketplace, search for Lusha, and click “Start chat.” Every conversation started this way is automatically Lusha-enabled.

2

Or invoke Lusha in any existing conversation

Type @Lusha in the prompt bar and select Lusha from the dropdown. Unlike Claude, Lusha does not activate automatically in every ChatGPT conversation — you must invoke it every time.

3

Paste the prompt and fill in the brackets

Copy the prompt below, replace [company name or domain] with your target account, and send. Lusha returns a complete account brief in one pass.

The prompt

Start from the ChatGPT Marketplace or type @Lusha before sending.

@Lusha Research this account and give me a complete
pre-call brief.

Company: [company name or domain]

Return:
1. FIRMOGRAPHICS
   - Industry and sub-vertical
   - Employee count
   - Revenue range
   - Funding stage and total raised
   - HQ location
   - Tech stack highlights

2. BUYING SIGNALS
   - Any funding events in the last 90 days
   - Executive moves in the last 30 days
   - Hiring surges in the target function
   - Intent signals if available
   - Signal score and date for each

3. KEY CONTACTS
   - Find 2 to 3 VP+ contacts in [target function]
   - For each: name, title, verified email,
     direct dial
   - Flag any recent hires (under 6 months)

4. CALL ANGLE
   - One specific reason to reach out today
     based on the signals found
   - One relevant question to open the call with

If no signals are found, say so clearly.
If a contact cannot be verified, flag it.
Built by: Lusha
Difficulty: Easy
Tools: ChatGPT, Lusha
Type: Template

What you’ll get back

A complete pre-call brief pulled live from Lusha’s database. Here’s what the output looks like:

Account brief — Lusha

FieldValue
IndustryRevenue Intelligence / SaaS
Employees280–320
Funding stageSeries B — $22M raised
HQAustin, TX
Tech stackSalesforce, Outreach, Gong
Top signalSeries B closed 11 days ago — score 84
Additional signalsNew VP Sales joined 3 weeks ago · 8 SDR roles posted
Key contactR.M. — VP of Sales · r.m@[company].com · +1 512 555 •••• • joined 3 weeks ago ⚑
Call angleSeries B just closed, new VP in seat, 8 SDRs being hired — they’re building the outbound motion right now.
Opening question“With the new funding and the SDR team scaling, how are you thinking about the data foundation underneath the outbound motion?”

Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own accounts to see live results.

 

Why use Lusha in ChatGPT for account research

 

Manual pre-call research fails in two ways. It takes too long — the average rep spends 17 minutes per account piecing together information from LinkedIn, CRM records, news alerts, and company websites. And it misses timing — none of those sources tell you that the company raised a Series B eleven days ago, that a new VP of Sales joined three weeks ago, and that eight SDR roles were posted since. Lusha’s verified B2B database tracks 24 live signal types across 1.2B+ data points processed daily, which means the brief you get from this prompt reflects what’s actually happening at the account right now — not what was true when someone last updated the CRM.

Running this inside ChatGPT with @Lusha keeps the entire research and prep workflow in one conversation. The firmographic profile, the signal check, the contact verification, and the call angle all come back in a single pass. The rep walks into the call knowing exactly who they’re talking to, why now is the right moment to reach out, and what question to open with. That context is what turns a cold call into a relevant conversation.

Lusha data is sourced and used in accordance with Lusha’s Privacy Policy and Terms of Use. Lusha is GDPR compliant and covers accounts across North America, EMEA, and APAC.

FAQ

  • How long does account research take with @Lusha in ChatGPT?

    Under 30 seconds from sending the prompt to receiving a complete brief. The prompt runs firmographic enrichment, signal detection, and contact verification in a single pass — the same research that takes a rep 15 to 20 minutes manually. The output is ready before the call starts, not during it.

  • What buying signals does Lusha surface for an account in ChatGPT?

    Lusha tracks 24 live signal types including funding events, executive moves, hiring surges in specific functions, intent signals on topic categories, tech stack changes, and news events. Each signal comes with a score, a date, and a plain text description. The prompt above asks Lusha to surface signals from the last 90 days and rank them by score — so the most actionable signal appears first, not the most recent one.

  • Can I research multiple accounts in one ChatGPT conversation?

    Yes — run the prompt back to back for each account in the same Lusha-enabled conversation. Each account gets its own brief. If you’re prepping for a full day of calls, paste a list of company names and ask Lusha to brief each one in turn. The conversation stays active as long as you started it from the ChatGPT Marketplace or invoked @Lusha at the start.

  • How is this different from searching the company on Google before a call?

    Google tells you what the company publishes about itself — press releases, job listings, blog posts. Lusha tells you what’s actually happening there right now — verified firmographics, named buying signals with scores and dates, and the direct dials of the people you’re about to call. The call angle in this prompt is built from real signal data, not from a company’s About page. That’s the difference between a generic opening line and a specific one.

  • Does Lusha account research in ChatGPT work for accounts based in Europe?

    Lusha is fully GDPR compliant, certified by European independent auditors ePrivacyseal GmbH, and validated by TrustArc — which matters when your reps are calling into regulated markets where data sourcing practices are scrutinized.

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