This article was originally published on Forbes.com on August 25, 2026

Expert Panel®

Getting readers to visit a company blog in the first place is a challenge, and getting them to return can be even more difficult. AI-powered tools can help communications teams personalize experiences, better understand what audiences want and identify opportunities to improve existing articles. With those insights, a static collection of posts can be transformed into an ever-evolving resource that consistently resonates with its target audience.

OUR TAKE:

14. Sharpen Headlines And Validate Claims

AI could be useful in providing multiple headline options and verifying information. Trusted sources go a long way, especially if linked to earned media. Headlines can make or break whether a blog gets read or an email is opened, and research and earned media provide extra validation. - Rachel Kule, Pursuit PR

FULL ARTICLE:

16 Smart Ways To Use AI To Make A Company Blog More Engaging

Below, 16 Forbes Communications Council members share smart and creative ways companies can use AI to create more relevant and engaging blog experiences that keep readers coming back for more.

1. Personalize 'What's New' For Returning Readers

One practical use is creating a personalized "what's new for you" section for returning readers. AI can surface fresh posts related to topics they previously explored, helping the blog feel less like a static library and more like an evolving resource built around their needs. - Heather Stickler, Michael Baker International

2. Turn Reader Questions Into A Content Series

Use AI to identify the questions your audience asks after reading—not before. We analyze comments, search queries and sales conversations to uncover follow-up questions, then build blog series around them. Readers return because each article feels like the next chapter, not another standalone post. - Janita Pannu, OPIIA Inc.

3. Use AI To Find Content Gaps And Emerging Questions

The value of AI isn't publishing more blog posts; it's revealing what your audience actually wants to learn. By identifying emerging questions, changing research behaviors and content gaps, AI helps marketers create more relevant experiences. When readers consistently find answers they couldn't find elsewhere, they have a reason to return. - Anna Eliot, pharosIQ

4. Strengthen Every Article With Fresh Perspectives

AI is a powerful editorial partner. It can identify missing questions, strengthen arguments and uncover fresh perspectives before publication. Readers return when every article offers a stronger idea and a more valuable perspective. - Michelle Wicmandy, KBC (A Yokogawa Company)

5. Let An AI Persona Represent Your Ideal Reader

We built a virtual voice of our ideal customer: an AI persona built from real buyer conversations. It tells us what it wants to hear about right now and it reviews every draft, flagging where it stops reading and why. Readers return because the blog keeps answering questions they actually have. It's the closest thing to having your buyer in the editorial meeting. - Andrew Kokes, Pivot AI Global

6. Give Returning Readers A Personalized Audio Digest

One idea that's paid off is using AI text-to-speech to turn our blog into a rotating audio briefing rather than just a page of articles. Returning readers can subscribe to a short two-to three-minute version. It’s an AI-narrated "what's new since your last visit" digest that only covers posts or updates they haven't consumed yet. It turns the blog into something people check the way they'd check a podcast feed, on a commute or between meetings, instead of something they have to remember to revisit. - Laiba Tariq, InnReg

7. Use AI To Improve The Content Readers Already Love

Most companies use AI to produce more text faster, but the real value sits somewhere else. Even one of Germany's largest news outlets adopted an AI-first policy where AI is consulted during research, not just writing.That same early use worked to help me to understand which older articles readers kept reopening and to rethink those instead of producing new ones. A reader notices immediately whether a blog is just broadcasting or whether it remembers who is reading. - Ramin Seyed, HuRa

8. Refresh Older Articles With New Insights And Updates

Use AI to identify content that needs a deeper update based on changes in the industry, customer needs, research, regulations or product developments. We use those signals to refresh existing articles and surface meaningful updates so returning readers find new value each time they revisit. This keeps the blog useful over time rather than letting strong content lose relevance after publication. - Lauren Banks, RepuGen

9. Connect Related Posts With Smarter Internal Links

We've found AI is especially useful for spotting opportunities to connect older blog posts to newer ones. Strengthening those internal links helps readers naturally discover related content instead of leaving after one article, creating a more engaging experience without constantly publishing something new. - Katie Jewett, UPRAISE Marketing + Public Relations, an rbb Communications Company

10. Structure Content For People And AI

The biggest benefit is understanding how machines consume content. It’s completely different, and you need to balance the structure of rich insights with bullet points, TLDR and atomic paragraphs to ensure your blogs maximize reach. This isn’t intuitive for most writers, so AI can help with the transition. - Derek Thomas, Ryan

11. Optimize Blog Content For AI-Powered Search

AI can help you construct more engaging content. But the real value of AI as it relates to blogging should be the inverse: How can companies utilize their self-published content to rank higher in AI search? Our team is using our blog to great effect, but organizations also should be looking to utilize PR, which is a critical element in showing up for prospective consumers sourcing help from AI. - Evan Nierman, Red Banyan

12. Scale Personalized Content With Human Oversight

AI offers you the ability to scale content creation beyond what your team can do on its own. This allows you to create not only more content, but also content designed for specific audiences. This can lead to more engagement from returning visitors who see more new content each time they visit. However, don't become too reliant on AI. There should always be a team member reviewing and revising all AI content for accuracy, brand consistency and overall value. - Tom Wozniak, OPTIZMO Technologies, LLC

13. Guide Readers Toward Their Next Best Article

Use AI to build a smarter return path, not just more and more posts. One useful approach is dynamically recommending the next article based on what a reader has already consumed, their role and the problem they’re exploring. It keeps the blog relevant over time by turning static content into a guided learning journey, not a one-off visit with an early drop-off point. - Hope Frank, Wand AI

14. Sharpen Headlines And Validate Claims

15. Turn Reader Behavior Into Editorial Intelligence

Treat unarticulated information needs as strategic intelligence. AI can analyze reader behavior and data, including engagement patterns, repeated searches and comments, to help communications teams continuously strengthen existing content and content categories. Content that evolves and improves with reader insights is valuable and creates a strong reason to return. - Toby G. Wong, NACD.DC, Toby Wong Consulting

16. Personalize The Homepage Around Each Reader

To hook returning readers, you must abandon standard algorithmic recommendations and implement AI-driven "Dynamic Contextual Personalization." The biggest mistake teams make is using basic, static widgets. Instead, our team deployed an AI layer that analyzes a returning reader’s specific historical interaction data to dynamically rewrite the blog’s home feed and inject a personalized "What You Missed" summary box at the top of the page. - Patrick Ward, NanoGlobals