AI assistant: how to transform your marketing

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The role of AI in marketing has shifted from an experimental phase to an integrated, specialised function. General AI tools are being replaced by assistants specifically trained for marketing tasks, focused on data analysis, content creation and campaign optimisation. 

This development enables you to create specialised AI assistants that act as digital specialists that support you. They perform complex, time-consuming tasks based on your instructions, allowing the marketing team to refocus on strategy and innovation. 

What you’ll learn in this article: 

• The clear difference between an AI assistant and an AI agent. 
• Concrete, practical applications of six AI assistants in B2B marketing. 
• How to build your own specialised assistants for maximum impact. 

What is an AI assistant and how does it differ from an AI agent?

In practice, the terms AI assistant and AI agent are often used interchangeably, but it’s essential to understand the functional difference. Without this clarity, you’ll implement the wrong tool for the job. You should consider in advance who follows the instructions and who is the autonomous decision-maker. 

The AI assistant: 

• A tool that performs a specific task based on your direct instructions (prompts). 
• Think of drafting copy, summarising data or generating images. 
• The assistant waits for your input and does not act autonomously. 

The AI agent: 

The AI agent is a more advanced system, designed to solve problems autonomously. You give the agent a complex goal, and it independently plans the steps, gathers the required information and executes actions to achieve that goal. This makes it a true project manager. 

• This is a more advanced system that receives a goal and independently determines the steps to reach it. 
• The agent can consult multiple tools and sources, make decisions and self-correct without constant human supervision. 

An example: an agent is tasked with ‘Increase the conversion of landing page X’ and will independently run A/B tests, rewrite headlines and perform data analysis.  

6 examples of AI assistants 

Instead of using one generic chatbot, you’ll get far more value from specialised assistants. These act as your ‘dedicated’ experts for specific tasks, maximising efficiency and quality. Here are six concrete examples you can build right away: 

1. The content strategy assistant 

The content strategy assistant specialises in creating structured, persuasive B2B content. This assistant knows exactly which elements a blog, whitepaper or e-book needs to establish authority. The focus is on the right structure, adding evidence and ensuring a consistent, professional writing style. 

• Role: Analyses your existing blog posts, competing content and SEO data. 
• Output: Instantly generates content gaps, proposes topic clusters and writes SEO-optimised outlines. 

2. The data analysis & insights assistant 

The data analysis assistant is essential for turning raw data into strategic actions. This assistant processes and interprets complex information from all your marketing sources. The goal is not to report what happened, but to deliver immediately usable insights into the bottlenecks and opportunities in your funnel. This makes data-driven decision-making accessible to the whole team. 

• Role: Processes raw data from Google Analytics, your CRM or marketing automation. 
• Output: Explains the key insights in plain language, identifies funnel bottlenecks and proposes concrete actions to improve conversion. 

3. The LinkedIn ads assistant 

The LinkedIn ads assistant specialises in B2B targeting and conversion on the platform for business professionals. By feeding the assistant your Ideal Customer Profile (ICP) and the performance of previous campaigns, it not only generates the right audiences but also the persuasive ad copy that resonates with your (C-level) decision-makers. 

• Role: Optimises targeting, budgeting and creative for LinkedIn. 
• Output: Delivers ready-to-use audience definitions, generates persuasive ad copy with A/B test variants and proposes bidding strategies. 

4. The video scriptwriter 

The video scriptwriter assistant specialises in turning existing, in-depth B2B content into a video storyboard. This assistant extracts the essential message from any blog, landing page or whitepaper and translates it into concise, visually effective scripts. The output is production-ready and ensures the original tone of voice and focus are preserved. 

• Role: Specialised in converting long-form content (e.g. a whitepaper or blog) into short, persuasive scripts. 
• Output: Provides complete scripts for YouTube Shorts or LinkedIn videos, including hook suggestions and call-to-action moments. 

5. The Google ads assistant 

The Google ads assistant specialises in continuously optimising your search campaigns. This assistant uses campaign data to maximise the relevance of your ads to user intent. By systematically generating and testing ad variants, this tool ensures your budget is spent more efficiently and conversion improves directly. 

• Role: Optimises your campaigns and ad groups based on performance data and the desired conversion. 
• Output: Crafts dynamic headlines and descriptions for RSAs, proposes new, relevant long-tail keywords and rapidly generates fresh A/B test variants. 

6. The email marketing assistant 

Email remains one of the most effective channels for lead nurturing and conversion. The email marketing assistant helps you elevate segmentation and personalisation. It writes complete drip campaigns, optimises subject lines for higher open rates and ensures the tone of voice matches each stage of the customer journey. 

• Role: Writes full email sequences and optimises existing copy for open and click-through rates. 
• Output: Delivers high-attention subject lines, drip campaign schedules for lead nurturing and creates personalised content for segmentation. 

Start building today 

Implementing these assistants doesn’t have to be expensive or highly technical. Many modern AI platforms already offer the ability to define ‘custom instructions’. 

Your expertise as a marketer is the key. The better you brief the assistant with context, data and your specific audience, the sharper and more useful the output will be. 

Would you like to discuss how we can help set up AI assistants for your organisation? Then schedule a meeting directly via the meeting scheduler.  

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