Reaching out to new connections on LinkedIn can be challenging, especially when trying to make a lasting impression. A well-crafted, personalized message increases the likelihood of acceptance and meaningful engagement.
Tailoring connection requests for industry professionals by highlighting shared experiences or mutual connections.
Reaching out to potential clients with a personalized introduction based on their company or role.
Recruitment
Sending targeted connection requests to potential candidates by referencing their skills or current position.
Building relationships with industry leaders by acknowledging their work and expressing genuine interest in their content.
Sales and Marketing
Engaging potential leads with a message that reflects their business needs or recent achievements.
Strengthening professional relationships by referencing recent interactions or shared interests.
Step-by-step instruction
Step 1. Set Input Dataset
Consider a dataset containing information about professionals you want to connect with on LinkedIn. Here is a sample dataset before generating the connection messages:
{{line}}
Step 2. Define the AI Prompt
The key to generating effective LinkedIn connection messages is crafting a precise and personalized prompt. This ensures that the AI can create messages that resonate with the recipient, increasing the likelihood of a successful connection.
Prompt Example
Create a LinkedIn connection message for @Name, who is a @Job_Title at @Company. Keep the message to one sentence. The message should be friendly and personal. Avoid formal or exaggerated expressions, and aim for a tone that is casual, friendly, and sounds like a real person speaking. Keep the line under 20 words. Do not include any emojis.
Why This Prompt Is Good
The prompt emphasizes keeping the message short and to the point, which is ideal for busy professionals.
It guides the AI to generate a message that is approachable and genuine, increasing the likelihood of a positive response.
The emphasis on a natural, conversational tone ensures the message doesn’t come off as overly formal or automated.
{{line}}
Step 3. Configure the Flow Designer
Add the input dataset to the flow designer.
Select the AI Column node from the tools panel and enter the prompt.
Start with a row-by-row execution to fine-tune your prompt.
Correct your prompt, regenerate any single row, or remove all previous results.
Once you satisfied with the prompt, apply the AI Column Node to all rows (it will be applied only for empty cells).
For very large datasets that are bigger than 10,000 rows, run the flow for runtime processing over the whole dataset. Be aware that it can be costly for a large amount of data.
{{line}}
Step 4. Get Final Result
Based on the prompt provided, here is how the AI Column Node would generate the LinkedIn connection messages:
