Turn company news into outreach in ChatGPT

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: ChatGPT ▪ Lusha
Type: Template

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 account and product context to see live results.

Company news can be a great reason to reach out. It can also be the fastest way to sound generic.

A funding event, leadership change, product launch, market move, commercial announcement, or risk signal may all create a useful opening. But the signal only works if it connects to something your buyer actually cares about.

The problem is that most reps stop at “saw the news.” That is not enough.

This prompt uses Lusha in ChatGPT to check recent company news signals, decide which signal is most relevant to your product and persona, find the right contact at the account, and write an outreach message that connects the news to a real business problem. Instead of reacting to news with a generic note, you get a specific reason to start a timely conversation.

How to start

1

Open Lusha in ChatGPT

Go to Lusha in ChatGPT 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

Add the account and product context

Copy the prompt below, add the target account, persona, and product context, and send. Lusha checks recent company news signals, finds the strongest outreach angle, and helps you write the message.

The prompt

Start from Lusha in ChatGPT or type @Lusha before sending.

@Lusha Turn recent company news into an outreach angle.

ACCOUNT:
Company: [company name or domain]

TARGET PERSONA:
Persona or title: [persona or title]
Department: [department]
Seniority: [manager / director / VP / C-level]

MY PRODUCT:
[One sentence describing what you sell]

PROBLEM WE SOLVE:
[One sentence describing the business problem we help
this persona solve]

Using Lusha, do the following:

1. VERIFY THE ACCOUNT
   Confirm the company profile:
   - Company name
   - Domain
   - Industry
   - Employee count
   - HQ location
   - Revenue range if available
   - Company LinkedIn if available

2. CHECK RECENT NEWS SIGNALS
   Look for company news signals from the last 6 months.

   Prioritize:
   - Commercial activity news
   - Corporate strategy news
   - Financial events news
   - People news
   - Market intelligence news
   - Product activity news
   - Risk news

3. SELECT THE STRONGEST OUTREACH SIGNAL
   Pick the signal most relevant to my product and
   target persona.

   Return:
   - Signal type
   - Signal date
   - What happened
   - Why it may matter
   - Why it is relevant to this persona
   - Whether the signal is strong enough for outreach

   If no useful signal exists, say so clearly and
   recommend holding or using a different angle.

4. CHECK SUPPORTING SIGNALS
   Check whether the account has other recent signals
   that support the outreach angle.

   Look for:
   - Hiring surges
   - Hiring surges by relevant department
   - Headcount increases or decreases
   - IT spend changes
   - Website traffic changes
   - Promotion or company-change signals for relevant contacts

5. FIND THE RIGHT CONTACT
   Find 1-2 relevant contacts at the account who match
   the target persona or likely ownership of the problem.

   For each contact, return:
   - Name
   - Current title
   - Department
   - Seniority
   - Location
   - LinkedIn profile if available
   - Verified business email availability
   - Direct or mobile phone availability
   - DNC status if available

6. WRITE THE OUTREACH MESSAGE
   Write one cold email using the strongest signal.

   Subject line:
   Under 7 words. Reference the account, signal, or
   business problem.

   Body:
   Under 110 words.
   Paragraph 1: Reference the signal naturally.
   Paragraph 2: Connect the signal to the problem
   we solve for this persona.
   Paragraph 3: End with one clear, low-friction ask.

   Do not:
   Say "congrats" unless the signal clearly calls for it.
   Overstate what the signal proves.
   Use generic personalization.
   Invent news, projects, initiatives, vendors, or
   priorities that Lusha did not return.
   Make the message sound like a news summary.

7. OUTPUT FORMAT
   Return:
   - Account verification
   - Strongest news signal
   - Supporting signals, if any
   - Signal quality score: strong / medium / weak
   - Recommended contact
   - Verified contact data availability
   - Outreach email
   - Why this signal makes the message timely

Do not invent companies, contacts, emails, phone numbers,
or signals. If Lusha cannot verify a useful signal, say so
clearly rather than forcing an outreach angle.

What you’ll get back

 

A verified company news signal, the right contact to reach, and a timely outreach message grounded in account context. Here’s what the output looks like:

Company news outreach — Lusha

FieldValue
Signal typeProduct activity news · detected in the last 30 days
Signal qualityStrong · relevant to the target persona and problem
Supporting signalHiring surge in Product · 37% above historical average
Recommended contactA.B. · VP Product Operations · verified email available
Subject lineScaling the new product motion
Output110-word email · signal-grounded · one clear ask

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 account and product context to see live results.

 

Why use Lusha in ChatGPT for news-based outreach

 

News-based outreach works when the news is connected to something the buyer actually owns. It fails when the message simply says “saw the news” and then jumps into a pitch.

Lusha helps separate useful signals from generic headlines. The prompt checks recent company news, selects the signal most relevant to your product and persona, and looks for supporting activity such as hiring, headcount changes, IT spend movement, or related contact signals. That gives the message a stronger reason to exist.

The contact step matters too. The person you reach should be connected to the signal, not randomly chosen from the account. If the news is about product expansion, the right contact may sit in Product, Operations, RevOps, or GTM. If the signal is financial, commercial, or strategic, the right contact may be different.

The result is outreach that feels timely because it connects what changed at the account to a problem your buyer may actually care about.

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

FAQ

  • What kind of news signals can this prompt use?

    The prompt focuses on company news signals such as commercial activity, corporate strategy, financial events, people news, market intelligence, product activity, and risk news. It also checks supporting signals like hiring surges, IT spend changes, website traffic changes, and headcount movement.

  • Should I always mention the news directly?

    No. Sometimes the strongest message references the business implication of the news rather than the news itself. The prompt asks ChatGPT to use the signal naturally and avoid sounding like a generic news alert.

  • What if the news signal is weak?

    If the signal is weak or not relevant to your product, the prompt should say so clearly. A weak signal is not worth forcing into outreach. You can either hold the account, use another signal, or switch to a different play.

  • Can this be used for existing opportunities?

    Yes. If an account is already in pipeline, recent company news can help explain why the conversation is more timely, why another stakeholder should be added, or why the deal may need to be re-prioritized.

  • What if Lusha finds no recent company news?

    If no useful company news is found, the prompt asks ChatGPT not to force an angle. You can still check other signals, such as hiring surges, IT spend changes, website traffic changes, promotions, or company changes.

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