AI Blogging: How to Harness AI for Content Creation

B2B marketing teams produce tons of valuable content every week — from webinars with expert insights, to panel discussions with industry leaders, to customer interviews packed with real-world use cases.

And yet, according to one study, up to 70% of B2B content produced by marketers never gets used. That's HOURS of wasted strategic thinking and planning — not to mention the valuable blog posts that go undrafted.

Enter: AI. With the help of AI, you can efficiently create blog posts that serve your two major audiences: humans and AI search engines. Structure matters more than ever, though, so you'll need to be strategic. No generic prompts, and no generic AI interfaces! That won't cut it and may negatively impact your efforts.

The opportunity here is to take your existing webinar transcripts, podcast recordings, and event videos and repurpose them into insightful blog posts (and more). In this guide, we'll talk about how to do that. You'll get practical strategies for incorporating AI into your content workflow, discover which tools actually deliver for B2B teams, and understand how to maintain quality while scaling production.

TL;DR? Check it out:

• Up to 70% of B2B content goes unused.
• Generic AI = generic blogs. Think specialized instead.
• Content Lab turns videos and events into blog-ready drafts in seconds.
• You need to structure blogs for both humans and AI engines.

Ready to stop wasting your best content and start building a sustainable content engine? Let's dive in.

AI blogging involves using generative AI tools to streamline and enhance your content creation process. It's not about replacing human writers, but rather augmenting their work.

When it comes to blogging, AI can help with generating ideas, optimizing for search, and lots in between. But for B2B teams specifically, the most valuable application is using AI to extract and reshape the expertise you've already captured in webinars, podcasts, virtual events, and panel discussions.

Understanding the division of labor between AI and humans is critical for building an effective workflow. Here's how to think about who does what:

The best AI blogging workflows recognize this division of labor. AI handles time-consuming, repetitive tasks that slow writers down. At the same time, humans bring strategic thinking, subject matter expertise, and editorial judgment that make content worth reading.

For B2B marketing teams, the biggest AI blogging opportunity isn't generating content from scratch. It's repurposing the expert insights you've already captured in events, webinars, and video content.

Goldcast Content Lab is purpose-built for this workflow. Instead of spending your time coming up with prompts you can use to generate content, you're giving Content Lab all of that rich source material you already have: actual conversations with your customers, presentations from your subject matter experts, Q&A sessions addressing real buyer questions, etc.

The Content Lab workflow:

1. Upload your event or podcast recording. (If it's hosted in Goldcast Events, it will automatically transfer.)
2. Content Lab auto-generates a transcript.
3. Content Lab also analyzes the video to identify key moments, memorable quotes, and actionable takeaways.
4. You're provided a structured blog draft based on actual conversations from your video.
5. You can apply brand voice rules to adjust the blog's tone and style.
6. Add context and make final edits to the piece.
7. At the same time you're editing, Content Lab is generating social media clips, pull quotes, and other promo copy from the original video.
8. Sign off on everything, and prepare to publish!

This workflow has SO many advantages over the traditional way of creating B2B content. For one, you're not starting over every time. You've put in the work to host a webinar or event; why not get the most from it?

With Content Lab, you're also able to be consistent with your efforts. Every event turns into tons of smaller assets that can fuel your content engine for months. And, because the bulk of the work is no longer on your shoulders, your time goes further and you can focus on high-level strategic work.

Not all AI tools serve the same purpose. Here are the six tools that deliver the most value for B2B marketing teams, organized by their primary function.

Content Lab is purpose-built for B2B teams who need to extract maximum value from webinars, virtual events, and video content.

With Content Lab, you take the valuable insights unearthed during marketing events and webinars, and repackage them for a variety of use cases, like blog content and social media.

Instead of starting with a blank prompt and hoping AI comes up with something useful, you're starting with your actual expert content. From there, Content Lab analyzes your video, identifies key moments, and transforms them into blog drafts, social posts, email copy, and more.

Key capabilities:

• Automatic video transcript analysis to identify blog-worthy insights
• AI-generated blog drafts based on your actual event content
• Built-in brand voice rules to maintain consistency
• Simultaneous creation of social clips, pull quotes, and promotional copy
• AI search across your entire video library to find specific topics or themes
• Text-based video editing for quick clip creation

Who it's for: B2B marketing teams who run webinars, virtual events, or podcasts and want to maximize the ROI of that content investment. See firsthand how teams like AspenCore have reduced video editing time from 2 hours per clip to just 5 minutes!

AI hallucinations are very real, and the more help you can get double-checking AI outputs, the better. Perplexity is an AI-powered search engine that can help validate topic research. In its responses, it cites sources front-and-center, which makes it easy for marketers to drill down to original sources and fact-check AI-generated content.

Who it's for: Researchers and content strategists who need to verify claims and trace information back to original sources.

ChatGPT is a versatile LLM that can help with many different aspects of blogging, from ideation to drafting to editing. Claude is another option that can help with a variety of tasks during the blogging process. Both can adapt to different writing styles, conduct research, and maintain consistency throughout a conversation.

Who they're for: Teams who need a flexible, general-purpose AI assistant for various writing tasks. ChatGPT and Claude are best used for creating content from scratch when you don't have video content to repurpose.

Specialized SEO tools analyze how your content compares to top-ranking pages for your target keywords. Then, they suggest specific improvements to help your content rank better. This could be a helpful last step once you have your blog draft edited and ready to go.

Who they're for: Content teams with existing drafts who need specific, data-driven SEO recommendations.

As AI becomes more embedded in your content workflows, you'll need clear governance to mitigate risk and maintain quality. Here are some best practices to keep in mind, straight from the AI experts we talked to at our AI Summit.

Keep these values top of mind:

Transparency. Disclose how you used AI in content creation when appropriate. A simple note like "Human-written with AI assistance for research and outlining" builds trust.

Originality. Make sure your content avoids plagiarism and copyright infringement. Pro tip: Avoid using artist and brand names in your prompts. When you start with your own video content through tools like Content Lab, originality is built in!

Accuracy. Fact-check everything. Then check it again. AI hallucinates, especially when generating content from scratch. Run a claim inventory: List all factual statements, verify them against primary sources, and document your sources.

Bias awareness. Biases are inherent in large language models. Build processes that aim to reduce bias and discrimination as much as possible. Have a diverse group of reviewers examine content before publication.

Before publishing any AI-assisted content, do the following:

• Require human sign-off. No AI-generated content goes live without review by someone who understands your brand, audience, and strategic goals.
• Edit out AI clichés. Watch for telltale AI phrases like "delve into," "landscape," "unlock," "game-changer," or "it's important to note." These make your content sound exactly like everyone else's.
• Verify all claims. As stated above, list factual statements, check them against primary sources, document where information came from. This protects your credibility.
• Maintain your brand voice. Ensure content sounds authentically like your brand. Content Lab gives you the option to set up different voices that you can apply to ensure content sounds like specific thought leaders at your company.
• Define boundaries for sensitive content. Some content — for example, thought leadership from your CEO, customer case studies, or positions on controversial issues — should involve minimal AI assistance.

By sticking to these guidelines, you get the full benefits of AI while continuing to build trust with your audience.

By now, savvy marketers understand that AI doesn't replace human creativity; it only enhances it. By taking time to explore AI tools' capabilities and limitations, you can streamline your blogging process and unlock new levels of productivity.

And you definitely don't want to miss out on the chance to extract maximum value from the hours of expert insights you're already capturing in webinars, virtual events, and customer conversations.

Think about the content you produced last quarter:

• How many webinars featured your subject matter experts explaining complex concepts?
• How many customer panels shared real-world implementation stories?
• How many Q&A sessions revealed the exact questions your prospects are asking?

Now ask yourself: How much of that strategic content have you actually repurposed? If you're like most B2B teams, the honest answer is less than 30%.

Content Lab is here to help you repurpose videos in just minutes. Create video assets that speak directly to your audience's goals, challenges, and burning questions — because they came from your own original recordings. With Content Lab, you can start scaling without adding to your workload — and you can do it for free.

Is AI-written content allowed by Google?

Yes. Google has explicitly stated that AI-generated content is not against their guidelines, as long as it provides value to users and doesn't violate their spam policies. The key here is to produce quality content, as Google will downrank content created solely to manipulate search rankings.

When you build content from your own expert video sources through tools like Content Lab, you're creating exactly the kind of valuable, original content Google rewards.

How do I keep AI from sounding generic?

The best way to prevent generic outputs is to avoid generic inputs. When you build AI blogs from your actual webinar recordings, the foundation is already unique. It's your experts, your perspectives, your vocabulary. Once you have the blog draft, apply your brand voice and edit any common AI phrases.

How do I make content show up in AI Overviews?

AI answer engines like ChatGPT, Claude, and Perplexity prioritize content that directly answers specific questions, uses clear formatting (tables, headers, lists), provides original insights, and cites credible sources.

What source material creates the best AI outputs?

Original video content from webinars, virtual events, podcasts, and expert interviews consistently produces better AI-generated blogs than asking AI to write from scratch. The richer and more specific your source material, the better your outputs will be! Customer Q&A sessions are particularly valuable because they typically include the exact language your prospects use when dealing with a specific challenge.