How to Use AI Writing Assistants for Better Long-Form Content Creation

Competing priorities often keep marketing teams from maintaining their desired cadence for long-form content. Inevitably, SEO goals go unmet, thought leadership goes unshared, and brand positioning grows weak.  

The question is: how do you bridge the gap between finite team capacity and competitive growth? 

The answer (as you might expect): AI writing assistants. (Ok, so while we may be a little biased here, it’s also true!) They augment human effort to help you hit your long-form content targets — with quality and brand voice intact.  

Chances are, your team is already using public AI tools for some content tasks. But enterprise content demands more. Brand standards, legal compliance, and high-stakes consequences need a secure, customizable AI marketing platform with enterprise-grade support (and that’s why we’re building Typeface).  

This post shows what it’s like to use AI agents for long-form content that aligns with your organization’s rigorous standards. Let’s get started! 

What exactly is an AI writing assistant? 

An AI writing assistant uses a large language model (LLM) or multiple fine-tuned LLMs to generate text, natural language processing (NLP) to interpret human language, and machine learning (ML) to adapt tone and learn from user edits.  

It may allow semantic search to find relevant images, documents, and videos in your asset management repository during content creation, and connect with your tools and platforms (e.g., CMSs, social media accounts, marketing automation software), for seamless content publishing.  

Here’s where it gets really good: You can train and customize an enterprise AI writing platform to create content strategically. For example, connect Typeface with your DAM to repurpose content for different platforms, and train the platform on your brand voice so your newsletters to high-value clients consistently carry weight.   

Why use an AI writing assistant for long-form content? 

An AI agent removes the bottlenecks common to enterprise publishing, including lengthy approval workflows, manual steps, and siloed content. This makes it particularly useful for increasing the efficiency of long-form content production, which can run into several hours (or weeks).  

Here’s what using an enterprise content creation platform for your in-depth articles, whitepapers, and eBooks looks like: 

Replace manual steps with smart optimization 

Automating blog content creation steps can speed up first drafts, allow more time for refinement, and (of course), keep your content engine running.  

How it works with Typeface:  

• Provide a simple prompt to generate detailed content outlines that lead to extensive, layered discussions. 

• Select relevant brand documents from Brand Hub upload new ones to pepper your articles with your insights.  

• Connect your CDP or CRM to Typeface and select the relevant cohorts during AI generation. No predefined lists? No problem. Build dynamic audiences and keep personalization seamless.  

Make handoffs instant and unmissable 

Content can get stuck because someone didn’t realize it was their turn. Notification features in enterprise AI content platforms can alert team members the moment content is ready for the next step. 

How it works with Typeface: 

Email and Slack are channels employees actively monitor and are expected to stay on top of. With Typeface, team members can send content review alerts directly from their content tasks to these channels, keeping the process moving.  

Support global content adaptation 

AI writing assistants with multilingual or localization capabilities can help your organization expand its reach without the need for hiring supporting teams for each region. 

How it works with Typeface: 

• Automatically adapt tone and cultural context to ensure your content resonates with local audiences 

• Rewrite long-form content for different markets or regions with relevant brand and audience insights  

How do AI writing assistants fit into existing workflows? 

Generally speaking, an AI writing assistant can step in at four different points: outlining, drafting, editing, or optimizing. But the greatest efficiency gains come from using AI throughout content production. Since AI content workflows are more streamlined than the manual processes that enterprises typically have in place, this transition is for the better. 

 How it works with Typeface: 

• Simplify content creation into a unified, efficient process on a single platform 

• Create multiple workflows for different types of content 

• Set up custom workflows to match your existing process 

• Establish clarity and accountability at the individual level with a “My Tasks” dashboard 

• Sync content updates across all your integrated platforms with connectors or API 

• Stay informed with a complete history of content status and assignee changes 

Typeface’s connected workflows turn content creation into a smooth, cohesive experience. Rather than moving across disconnected tools or jumping between multiple tabs, you can stay within a single, collaborative environment that thrives on human-AI synergy.  

How to set up AI writing assistants for long-form content success 

Setting up a scalable content creation process within an AI writing tool is usually a one-time effort. Once in place, it supports fast, structured, and smooth content production across teams. AI writing assistants are flexible to input changes — adapting to new writing styles and workflow adjustments — realigning collaboration to suit new requirements.  

Set up your workspace in Typeface 

• Create your team in the Typeface platform, add members, and assign controls.  

• Connect your existing martech systems to Typeface to make your pre-approved assets and cohorts easily accessible to team members during content generation.  

• Train AI in your brand voice, channel-specific tones and visual styles for images and graphics. Select a voice or style during generation to maintain brand consistency across all content. 

• Upload your brand guidelines to the platform. The AI agent learns and applies them to all content. Brand Agent validates content against brand rules and suggests corrections where needed.  

Step-by-step long-form blog creation on Typeface  

1. In Typeface Spaces, give the AI agent a simple prompt to begin blog generation. You can simply state the blog topic to start the process.  

2. The agent will ask you for key details such as the word count, audience, keywords, reference documents/URLs, and other instructions, if any. It’s quicker if you can apply these contexts yourself from within the chat window.  

   AI can also (with your permission) create a curated blog post by synthesizing the latest information on the topic from web sources.  

3. Within seconds, AI generates a detailed blog outline with header tags and bullet point lists of sub-topics to discuss under each heading. This outline is editable.  

4. AI suggests SEO enhancements to your outline by surfacing top ranking URLs for the topic and People Also Ask questions. To include a question or sub-topic, click on it and AI will insert it in the right place in your outline. 

5. Generate your blog, review it, and make edits as needed. Typeface makes this task easier and more effective in these ways: 

   a. Offers an inline AI editor that tweaks content to suit your goals and brand voice. Generate variations of a sentence, fix lengthy or truncated sentences, and make other improvements instantly.  

   b. Calculates a performance score based on how well your content is likely to perform in search, and how well it follows brand guidelines.    

6. Once the blog is good to hand off, change its status to “In-Review” and assign it to the designated team member. You can also use the message box to notify your teammate via email or Slack or publish your blog (if you’re authorized to do so!). 

How to measure success  

Co-creating with AI on long-form content is a big decision. There’s a world of difference between asking AI to generate caption ideas and expecting it to produce content that plumbs the depths of a topic.  

That’s why you need a good change management approach to build trust and feel confident creating using AI. 

Allow adequate time for testing 

Even with an understanding of AI’s benefits, people are going to need time to get comfortable with new workflows before they become committed users.  

Pro-tip: Allow about 30 days of testing, training, and feedback to be clear about what’s working and what isn’t, and how to iron out friction points.  

Train AI on real data 

Use historical data, audience data, brand guidelines, and workflow documentation. Teach the system to create (just like you would a junior writer) so that it sounds like your team. 

Start small 

Small wins build momentum, shift perceptions, and motivate continued efforts. Consider starting with these low-stakes experiments:  

• Create draft rewrites of existing articles  

• Repurpose older content 

• Test small sections first: introductions, conclusion, a paragraph that expands on a topic or sub-topic.  

Create a feedback loop  

Monitor AI’s decisions and outputs. Adjust prompts, refine workflows, or improve training data. Record performance against these KPIs: 

• Time saved per content asset 

• Quality of output 

• Draft-to-publish turnaround time 

• Increases in publishing frequency 

• Team satisfaction and sentiment 

If the pilot succeeds, gradually expand to full-scale AI implementation. If it doesn’t, revise and test again.  

Think of AI as a complement, not a replacement 

AI adoption doesn’t dilute the contributions of human copywriters, editors, and legal teams. These stakeholders focus on oversight, precision, and clarity while AI handles the heavy lifting, freeing them to enhance content with fresh angles, nuanced insights, and creative elements that only humans can provide. 

Establish a governance structure  

For collaboration to work correctly and in unison, define rules around what AI agents can do autonomously, what must be reviewed, and who owns training, oversight, and evolution. Such a governance model is essential to scale AI content creation safely and confidently.  

Build better, faster 

AI writing assistants support, not replace, your marketing team. They streamline workflows, reduce manual workload, and build connected intelligence that drives engagement and impact.  

Despite the stereotypes, AI content generation isn’t just a numbers game (when done right). Instead, use the power of AI to give your team the capacity to carefully reflect on what you should cover with your content, and then scale the good stuff.  

Typeface tackles comprehensive content like a pro — with your guidance and data. Start for free or talk to sales today.