Keep Readers Engaged with Intelligent Story Recommendations
Help readers discover more of your journalism with automatically suggested related articles.
Every article is an opportunity to introduce readers to another story.
Surf New Media’s Related Stories feature automatically recommends relevant articles based on categories, tags, keywords, topics, and editorial settings, encouraging readers to continue exploring your website instead of leaving after reading a single story.
The result is a better reader experience, more page views, longer visits, and increased engagement.
Keep Readers Reading
After finishing an article, readers often ask:
“What’s next?”
Related Stories answers that question by presenting additional content that matches the reader’s interests.
Whether they’re reading about local government, high school sports, community events, or breaking news, Surf CMS helps guide them to more relevant stories.
Automatic Story Recommendations
Surf CMS intelligently recommends stories using information such as:
- Categories
- Tags
- Keywords
- Topics
- Authors
- Sections
- Publication date
- Editorial preferences
Editors spend less time manually linking articles while readers enjoy more relevant recommendations.
Editor Control
Need complete control?
Editors can also manually choose related stories for important coverage, investigations, special reports, or ongoing series.
You decide when to automate—and when to curate.
Multiple Display Options
Related Stories can appear:
- At the end of articles
- Within article content
- In sidebars
- Below photo galleries
- After videos
- On mobile layouts
- On section landing pages
Choose the layout that best fits your website.
Encourage Deeper Exploration
Related Stories naturally encourage readers to:
- Read more articles
- Discover archived content
- Follow developing stories
- Explore special sections
- Stay informed about ongoing events
Every recommendation is another opportunity to keep readers engaged.
Perfect for Series Coverage
Following a developing story?
Related Stories are ideal for:
- Election coverage
- Criminal investigations
- City council meetings
- School board news
- Sports tournaments
- Storm coverage
- Community projects
- Multi-part features
Readers can easily follow the complete story from beginning to end.
Improve Reader Engagement
More relevant content means:
- More page views
- Longer visits
- Increased reader satisfaction
- Better content discovery
- Higher subscription opportunities
- Greater newsletter signups
Helping readers find more stories benefits both your audience and your newsroom.
Mobile Friendly
Related Stories automatically display beautifully on:
- Desktop computers
- Tablets
- Smartphones
Providing a consistent experience regardless of screen size.
Built Into Surf CMS
Related Stories integrate seamlessly with:
- Articles
- Featured Stories
- AI Story Summaries
- Author Profiles
- Photo Galleries
- Video Embeds
- Publish Everywhere
- Search
Everything works together to keep readers engaged.
Benefits
Surf New Media’s Related Stories feature helps your newspaper:
- Increase page views
- Improve reader engagement
- Reduce bounce rates
- Showcase archived content
- Promote special coverage
- Increase subscription opportunities
- Keep readers on your website longer
- Create a better user experience
Why Surf New Media?
Your newsroom publishes valuable journalism every day.
Related Stories help ensure readers discover more of it.
Instead of ending the reader’s journey after one article, Surf CMS encourages continued exploration through intelligent recommendations that keep your audience engaged and connected.
One Story Leads to Another
Every article opens the door to another great story.
Surf New Media’s Related Stories feature helps readers discover more of your journalism automatically, increasing engagement while making your website more valuable for readers, advertisers, and subscribers alike.
Schedule a Free Demo and see how Related Stories can help your newspaper increase page views, reader engagement, and digital subscriptions.