Introduction

LinkedIn is the ultimate platform for professionals looking to network, close deals, or even get hired. It’s where decision-makers hang out, where you can find your next business partner or land a speaking gig. But one problem persists: standing out in a sea of messages. So how do you ensure that your message doesn’t get ignored?

That’s where AI-powered LinkedIn outreach tools like Beanbag.ai come in. By leveraging artificial intelligence, it’s possible to write personalised LinkedIn messages at scale and increase the likelihood of getting responses. In fact, just last week, I booked 10 discovery calls using AI-generated messages!

Sounds impossible? It’s not. And in this blog post, I’ll show you exactly how I did it, why AI makes a difference, and how you can replicate this strategy for yourself.

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Why LinkedIn Outreach is So Important for Business

Let’s face it: LinkedIn's value lies in networking. It’s a goldmine for B2B sales, business development, and recruiting, with 828 million users worldwide as of 2024.

Here's why it matters:

• 61 million LinkedIn users are senior-level influencers.
• 40 million are decision-makers, including VPs, CEOs, and business owners.
• LinkedIn InMail boasts a 3x higher response rate than regular email.

The numbers don’t lie: LinkedIn is where deals happen. Yet, despite its potential, cold outreach on LinkedIn can feel like a shot in the dark. Crafting messages that resonate is hard work—unless you automate the process intelligently.

The Problem with Traditional LinkedIn Outreach

Most LinkedIn outreach messages fall flat because they’re generic, impersonal, or simply too salesy. If you’ve been on LinkedIn long enough, you’ve probably received a message like this:

"Hi [First Name], I noticed that you're in [Industry] and wanted to connect with you because I think we can help each other grow. Let's hop on a call!"

What happens to a message like this? Nine times out of ten, it gets ignored. Why? Because it lacks personalization and reads like a cold sales pitch.

That’s where AI steps in.

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How AI Is Changing LinkedIn Outreach

Artificial Intelligence has changed the game for sales automation. Tools like Beanbag.ai can analyze a prospect’s LinkedIn profile, craft personalized messages that align with their interests and needs, and even predict the best time to send those messages for higher engagement.

Here’s what AI can do for you in LinkedIn outreach:

1. Personalization at Scale

AI can personalize your messages based on real-time data. For example, AI will incorporate this information into the outreach message if your prospect recently published an article or changed jobs. This makes the message relevant and timely—two critical factors for getting a response.

Example: LinkedIn AI-Generated Personalized Message

Hi [First Name],

I came across your profile and noticed you're the Head of Product at [Company]. I admire [Company's] recent work in [relevant industry or project, e.g., scaling sustainable technology solutions]—that’s an area I’m really passionate about!

At Beanbag.ai, we specialize in AI-driven tools that help companies like yours connect with high-value prospects through personalized, multi-channel outreach. I’d love to share a few strategies that are proving effective in [specific sector, e.g., B2B SaaS product engagement] and hear your thoughts on what’s been working for [Company] this year.

Would you be open to a brief chat next week? Looking forward to connecting and exchanging insights!

Best,
[Your Name]

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2. Optimised Messaging

AI uses natural language processing (NLP) to ensure your message doesn’t sound robotic or scripted. The tool learns from what works and what doesn’t, refining your messages over time for improved results.

3. Predictive Analysis

AI tools can predict when your prospect is most likely to respond. Based on their activity patterns and behavioural insights, AI suggests the ideal time to send a message for maximum visibility.

Did You Know? AI can improve your LinkedIn response rate by 46%, according to studies on personalised outreach campaigns!

4. A/B Testing

AI can run A/B tests to figure out which version of your message resonates better with your target audience. It continuously optimises and adapts to ensure the highest response rates.

By automating these tasks, AI enables you to focus on what matters most—building relationships and closing deals.

The Process: How We Used AI to Book 10 Calls in One Week

We used Beanbag.ai to automate the LinkedIn outreach for a week, and the results were outstanding. Let me walk you through the exact process we followed.

Step 1: Define Target Audience

The first step was identifying the type of professionals we wanted to reach. We used LinkedIn’s built-in filters to narrow down prospects by industry, role, and location.

Step 2: Analyse Prospects’ Profiles with AI

Once we had my target audience, we let the AI do its magic. Beanbag.ai analyzed each prospect’s LinkedIn profile, gathering insights like:

• Recent posts and activity
• Job title and company information
• Connections and mutual groups
• Skills and endorsements

Step 3: Generate Personalised Messages

Using these insights, the AI tool generated personalised messages for each prospect. Here’s an example:

Hi Sarah,

I saw your recent post on using machine learning to optimize supply chains and loved your take on how predictive analytics is transforming logistics! It’s exciting to see thought leaders like you champion these innovations.

I also noticed that at [Company Name], you’ve led the digital transformation team for over 5 years—quite an accomplishment! Your role in launching [Specific Project or Initiative] must have been incredibly rewarding, especially with the results your team achieved in [relevant metric, e.g., reducing lead times by 20%].

I’d love to connect and explore how our AI-driven solutions at Beanbag.ai might complement your work, especially in streamlining data-driven decision-making across your supply chain.

Are you open to a quick chat sometime next week? Looking forward to connecting!

Best,
[Your Name]

Notice how this message doesn’t feel “salesy”? It’s conversational, personalised, and relevant to the recipient’s activity on LinkedIn.

Step 4: Automate Message Delivery

After approving the messages, we scheduled them to be sent at optimal times. AI calculated the best windows based on historical engagement data, ensuring my messages didn’t get lost in the crowd.

Step 5: Follow-up Sequences

Another great feature was the AI-driven follow-up system. If a prospect didn’t reply within a certain timeframe, the tool would automatically send a follow-up message, further increasing my chances of a response.

Here’s what a follow-up message might look like:

"Hi Sarah, I wanted to circle back to my last message and see if you’d be open to a quick chat. I’d love to explore how we can help each other in [Industry]. Let me know if you’re available this week!"

Results: 10 Booked Calls in 7 Days!

By the end of the week, we had booked 10 discovery calls with decision-makers from my target audience. All thanks to the efficiency and personalization enabled by AI.

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Why AI-Generated Messages Outperform Manual Outreach

You might be wondering: why not just write the messages myself?

Good question! There are several reasons why AI-generated messages outperform manual outreach:

1. Speed and Efficiency

Writing personalised messages manually is time-consuming. Even if you’re a fast typist, crafting unique messages for hundreds of prospects would take days. AI can generate these messages in seconds, allowing you to scale your outreach without sacrificing quality.

2. Consistency

Humans are inconsistent by nature. Some days we’re in the zone, writing killer messages. Other days, not so much. AI eliminates this variability, ensuring that every message meets the same high standard.

3. Data-Driven Optimization

AI isn’t just guessing—it’s basing its decisions on data. It learns from past interactions, constantly optimising messages to improve response rates. Over time, this results in significantly better performance than manual outreach.

4. Multitasking Power

While AI handles your LinkedIn outreach, you can focus on other tasks, like closing deals or nurturing leads. It’s like having a 24/7 virtual assistant working in the background.

Pro Tip: Pair AI outreach tools with CRM software to streamline your sales process even further. Many AI tools integrate with popular CRMs like Salesforce and HubSpot, making it easy to track leads and measure success.

Key Stats and Trends in AI-Powered LinkedIn Outreach

The rise of AI in sales automation is not just a trend—it’s a paradigm shift. Businesses that adopt AI for sales outreach see dramatic improvements in efficiency, personalization, and response rates.

Here are some key stats:

• AI-augmented salespeople achieve a 50% higher lead conversion rate, according to a report by McKinsey.
• 75% of sales organisations will use AI-guided selling by 2025 (Gartner).
• AI-driven tools have reduced response times by 25-30%, allowing sales teams to engage leads faster.
• In B2B sales, 60% of top-performing companies are already using AI to assist with lead generation and outreach.

These trends demonstrate the growing importance of AI in sales and marketing. You're missing out on a massive opportunity if you’re not leveraging AI tools like Beanbag.ai.

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How to Get Started with AI for LinkedIn Outreach

Ready to start using AI to revolutionise your LinkedIn outreach? Here’s a step-by-step guide to help you get started.

1. Choose the Right AI Tool

There are several AI-powered tools available for LinkedIn outreach, including Beanbag.ai, Expandi, and SalesLoft. Choose a tool that integrates well with your existing tech stack and offers the level of personalization you need.

2. Define Your Target Audience

Narrow down your target audience using LinkedIn’s advanced search filters. The more specific you are, the better your outreach results will be. Focus on criteria like job title, industry, location, and company size.

3. Set Up Messaging Templates

Once you’ve selected your tool, set up messaging templates that the AI can customise. These templates should include placeholders for the AI to fill in with personalised details about each prospect.

Quick Tips for Message Optimization:

• Keep it brief: Aim for under 300 characters for maximum impact.
• Personalise upfront: Address the prospect by name or reference a detail from their LinkedIn profile.
• Include a call-to-action: Try something direct yet friendly, like “Would you be open to a quick chat next week?”

4. Monitor and Optimise

AI tools are not “set it and forget it.” You’ll need to monitor the performance of your outreach campaigns and make adjustments as needed. Most tools offer analytics dashboards that show key metrics like response rates and booked meetings.

5. Scale Up

Once you’ve found a messaging strategy that works, scale it up! Use AI to reach hundreds—or even thousands—of prospects each week without burning out.

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Final Thoughts

AI-powered LinkedIn outreach is a game-changer. By automating the process of crafting and sending personalised messages, you can dramatically increase your response rates, book more meetings, and ultimately close more deals.

If you’re not using AI for your LinkedIn outreach yet, now’s the time to start. Tools like Beanbag.ai make it easy to get up and running, and the results speak for themselves. In just one week, I booked 10 calls—and you can too.

Remember, the future of sales is not just automation—it’s smart automation. And with AI, you can work smarter, not harder.

That’s it! You now have a roadmap to implement AI-powered LinkedIn outreach in your business. Start small, test, optimise, and scale. The future of your LinkedIn outreach has never looked brighter!

Did You Know? Personalised outreach messages can increase response rates by 37% compared to generic templates.

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