LinkedIn, once just a digital resume hub, has transformed into a dynamic arena where professionals build their brands, showcase their products, and share their expertise. Yet, with millions of users vying for attention, standing out on Linkedin is no walk in the park.
Enter generative AI which has the power to help craft posts, determine what will be engaging, and help identify the right audience. Behind this potential lies prompt engineering - the art of querying AI models to produce specific and effective outputs. Mastering prompt engineering can transform your LinkedIn presence, making your posts engaging, memorable, and influential and also helping you dramatically increase your overall output and cadence. By precisely tailoring your content, you can captivate your target audience, establish authority in your industry, and foster meaningful discussions.
Learning how to craft prompts can help you build a robust personal and professional brand.
Here are some of our favorite tips from brainstorming your posts to publishing for optimal engagement.
Feeling stuck? Prime your AI chatbot to generate ideas aligned with your brand identity and goals. You can “onboard” your AI assistant with the necessary content to generate compelling ideas.
Here are the top 5 types that typically perform well and how you can prime the chatbot to apply best practices for each. Often the best way to get the type of output you want from your bot is to clarify your objective and provide examples of content that you want it to emulate. The more specific the better. Bots also tend to respond better to instructions that tell it what to do vs what not to do.
The past two sections have focused on helping you generate valuable and relevant content for your network. This section provides tips on how to optimize for engagement from your audience.
By integrating AI tools and mastering prompt engineering tactics, you can spark conversations and action among key stakeholders in your industry. Watch your Linkedin presence soar to new heights.
Broad-spectrum B2B marketing is losing its effectiveness, and "wedge marketing" - targeting narrow niches with tailored content - is taking its place. Here's how Generative AI tools can supercharge your team's ability to leverage this strategy and create highly specific, resonant content at scale.
Learn how generative AI tools can help you create B2B community through hyper-personalized, high-value content that resonates with each segment of your audience, fosters meaningful conversations, and establishes your brand as a thought leader.
Here's how AI-powered content generation tools are revolutionizing B2B email marketing by enabling hyper-personalization, supporting Account-Based Marketing (ABM) strategies, and delivering educational, value-driven content.
See how forward-thinking CMOs are leveraging AI tools to create personalized content at scale, automate key processes, and own the new go-to-market playbook.
Discover how AI tools like Tofu can help vertical SaaS companies overcome the challenges of implementing Account Based Marketing (ABM) and drive growth. Learn how machine learning algorithms can identify target accounts, create personalized content, automate distribution across multiple channels, and measure campaign success, saving marketers time and resources while driving better results.
Key takeaways to help CMOs integrate AI into their team's workflows
Thanks to new AI innovations, it’s easier than ever to repurpose content and extend the lifetime of your favorite pieces. Here are some tools you should trial today.
Here’s our recap of the biggest trends from 2023 and some of our top predictions for 2024.
Effective repurposing involves more than just reformatting an old piece of content. Here's a step by step guide with some real world success stories.
A playbook for 1:1 marketing in the AI era
"I take a broad view of ABM: if you're targeting a specific set of accounts and tailoring engagement based on what you know about them, you're doing it. But most teams are stuck in the old loop: Sales hands Marketing a list, Marketing runs ads, and any response is treated as intent."
"ABM has always been just good marketing. It starts with clarity on your ICP and ends with driving revenue. But the way we get from A to B has changed dramatically."
"ABM either dies or thrives on Sales-Marketing alignment; there's no in-between. When Marketing runs plays on specific accounts or contacts and Sales isn't doing complementary outreach, the whole thing falls short."
"In our research at 6sense, few marketers view ABM as critical to hitting revenue goals this year. But that's not because ABM doesn't work; it's because most teams haven't implemented it well."
"To me, ABM isn't a campaign; it's a go-to-market operating model. It starts with cross-functional planning: mapping revenue targets, territories, and board priorities."
"With AI, we can personalize not just by account, but by segment, by buying group, and even by individual. That level of precision just wasn't possible a few years ago."
This comprehensive guide provides a blueprint for modern ABM execution:
8 interdependent stages that form a data-driven ABM engine: account selection, research, channel selection, content generation, orchestration, and optimization
6 ready-to-launch plays for every funnel stage, from competitive displacement to customer expansion
Modern metrics that matter now: engagement velocity, signal relevance, and sales activation rates
Real-world case studies from Snowflake, Unanet, LiveRamp, and more
Sign up now to receive your copy the moment it's released and transform your ABM strategy with AI-powered personalization at scale.
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