So. You've got the leading video automation platform on your side. But what stories are you going to tell? Dip into our community blog for ideas, inspiration and plenty of handy how-tos.
April 21, 2026
April 21, 2026
Here's a sobering reality for anyone investing in podcast content: 30-60% of new podcasts go completely silent within their first year. Not because the content is bad, but because the discovery mechanism is fundamentally broken. While 600+ million people globally listen to podcasts, reaching new audiences through traditional podcast platforms has become nearly impossible – these apps primarily amplify what's already popular, leaving most creators shouting into the void.
The solution isn't to abandon audio content. It's to recognize that podcast discovery has migrated to an entirely different ecosystem: social media feeds where video reigns supreme and 85% of content is consumed without sound.
Recent cognitive research reveals a counterintuitive finding about how we process information. When audio quality is clear, watching someone's face while they speak actually increases cognitive effort – your brain works harder processing both the visual and auditory streams simultaneously. This explains why asking a cold audience to commit to a 60-minute talking-head video creates insurmountable friction for discovery.
Smart creators are responding with what's called "content economics" – transforming single podcast episodes into multiple short-form video clips. These bite-sized teasers now drive 20-40% of new podcast listeners. But here's the crucial insight: these clips aren't just promotional tools. They've become standalone content products that deliver value whether or not viewers ever listen to the full episode. Think of them as tapas – satisfying on their own, not merely appetizers for a main course you might never order.
"The most successful podcast strategies treat short-form clips as products in their own right, not just as advertisements," notes Jonna Ekman, Marketing Director at Storykit. "When you respect both your audience's time and cognitive load, you create multiple touchpoints for engagement without demanding immediate full-episode commitment."
While most creators reflexively turn to TikTok or YouTube Shorts, the data points to a more strategic channel for professional content: LinkedIn. The platform's algorithm and user intent create ideal conditions for podcast discovery. LinkedIn users actively seek professional insights during their browsing sessions, making them receptive to substantive content rather than entertainment.
The technical requirements matter too. LinkedIn's large desktop user base demands square video format (1:1 ratio) rather than vertical, and file sizes under 100MB ensure instant playback. Success requires strong text hooks in post captions, strategic guest tagging to leverage their networks, and clear calls-to-action directing viewers to full episodes. Videos featuring these elements see engagement rates that justify the effort – particularly when the content addresses specific professional challenges.
The traditional path to video content – cameras, lighting, studio setups – creates overwhelming friction for most podcast creators. Many record remotely via Zoom or Teams, often in less-than-ideal conditions. Internal experts aren't media-trained, and guests frequently resist being on camera. These barriers kill consistency before it starts.
This is where automated video creation becomes transformative. Storykit converts existing podcast audio into social-optimized video without requiring any filming. The platform generates animated captions, dynamic text overlays, and relevant visuals that engage silent scrollers while preserving the original audio's message. This approach isn't a compromise – it's a direct response to how people actually consume content on social platforms.
"We've seen B2B companies achieve 2.7× higher close rates from podcast-engaged leads when they consistently distribute video clips across social channels," explains Peder Bonnier, CEO at Storykit. "The key is removing production friction so teams can maintain the consistency that algorithms reward."
Stop treating podcast promotion as an afterthought. Your audio content represents significant investment – recording, editing, guest coordination – that deserves strategic distribution. Start by identifying your highest-value segments: counterintuitive insights, concrete data points, or memorable quotes that work as standalone content.
Transform these segments into square-format videos optimized for silent consumption. Focus distribution on LinkedIn where your professional audience actively seeks expertise rather than entertainment. Post consistently – algorithms favor regular publishing over sporadic perfection. Most importantly, measure success not just by full-episode downloads but by the cumulative reach of your distributed clips. Each video extends your content's working life and creates new entry points for audience discovery.
The path forward isn't choosing between audio and video – it's recognizing that modern content consumption demands both. Your podcast builds deep engagement with committed listeners while video clips drive discovery among new audiences. This hybrid approach respects both the intimate nature of audio content and the visual demands of social media algorithms.
As podcast saturation continues and traditional discovery mechanisms weaken further, success will belong to creators who embrace this dual strategy. The question isn't whether to add video to your podcast workflow, but how quickly you can implement sustainable video creation that doesn't compromise your audio quality or exhaust your resources.
Will podcasts eventually become purely visual experiences, with long-form audio serving merely as source material for video clips?
March 27, 2026
March 27, 2026
While marketing departments chase the next perfect campaign video, companies like Aspia are quietly turning their existing reports, newsletters, and internal docs into 30 videos per month. The result? A 30% surge in LinkedIn followers and millions in saved production costs.
The difference isn't talent or budget. It's frequency.
Here's what the data tells us about B2B social media success. Companies that post weekly on LinkedIn see 5.6× more follower growth than those posting sporadically. The average successful brand now posts about 18 times per month. Yet most B2B teams struggle to publish even weekly.
The problem isn't lack of content — it's the belief that every piece needs Hollywood-level production. Meanwhile, video generates 1200% more shares than text and image content combined, and viewers retain 95% of a video's message compared to just 10% when reading text.
"The only way to win is to publish more, and preferably video," says Peder Bonnier, CEO at Storykit. "But we're all strapped for resources. Most businesses can't just throw more money or people at the problem."
Consider PostNord's transformation. Facing the challenge of recruiting over 1,000 employees while maintaining communication with 20,000+ staff, they didn't hire an agency. Instead, they produced 40 unique recruitment videos in just one month by repurposing job descriptions into multiple platform-ready videos.
The shift from creating to repurposing changes everything. One blog post becomes four videos: a stats highlight, a quote card, a three-point summary, and a teaser. One report transforms into a month's worth of social content. The source material already exists — it just needs a new format.
What happens when video creation moves beyond the marketing department? At Aspia, teams from payroll to consulting now create their own videos. "We create about 30 videos every month," says Pia Törnqvist, Marketing Director at Aspia. "And last year alone, we witnessed a 30% surge in our follower base."
The impact goes deeper than follower counts. Aspia saves approximately EUR 1.6 million annually by eliminating external agency dependence. Non-marketers across departments publish brand-aligned content without training. The entire organization becomes a content engine.
Majority, a U.S.-based mobile banking app, discovered another advantage: localization at scale. Using AI-powered translation and voiceover capabilities, they produce educational videos in both English and Spanish, seeing significantly more views and interactions compared to static posts across YouTube, Instagram, and Facebook.
The math is straightforward. LinkedIn's algorithm favors consistency, with weekly posting yielding roughly 2× longer content life. The sweet spot for B2B? Starting at 2-3 posts per week, scaling to daily during campaigns. More than once daily risks fatigue, but less than weekly means invisibility.
"Automation allows you to crank out way more content with the resources you already have," notes Peder Bonnier. The key isn't working harder — it's systematizing what you already produce.
This shift requires rethinking content creation. Instead of asking "What should we create this week?" successful teams ask "What existing content can we transform today?" Every report, every newsletter, every FAQ becomes multiple touchpoints. Every internal communication becomes external value.
The evidence is clear: consistency drives growth, video amplifies engagement, and repurposing makes both sustainable. Companies using this approach report making 200% more video with 95% less budget.
Pick one piece of content from last quarter. Transform it into four videos this week. Track the engagement difference. The results might surprise you.
Because in B2B social media, the winner isn't the team with the biggest budget or the perfect video. It's the team that shows up every day.
March 16, 2026
March 16, 2026
LinkedIn has transformed from a professional networking site into one of the most authoritative sources shaping how AI search engines answer questions about your brand. Between November 2025 and February 2026, LinkedIn surged from outside the top 20 to become the #5 most-cited domain on ChatGPT – and the #1 source for professional queries across all major AI platforms. Yet most companies haven't adjusted their content strategies to match this new reality.
That gap between opportunity and action creates a rare advantage for brands willing to move now.
Here's what most marketers are missing: AI search engines are increasingly drawing from LinkedIn's published content layer rather than just profiles and company pages.
According to Semrush's analysis of 89,000 LinkedIn URLs cited by AI platforms, LinkedIn appears in 11% of AI responses on average– ahead of Wikipedia, YouTube, and every major news publisher. Even more striking, Profound's research shows that posts and long-form articles now account for 35% of all LinkedIn citations, up from 27% just three months ago.
This isn't just about being found– it's about how your brand story gets told. LinkedIn content shows semantic similarity scores of 0.57–0.60 with AI responses, meaning the platform actively shapes how AI explains your products and services to potential customers.
The data reveals a clear playbook for what works in AI-driven discovery.
Long-form articles between 500–2,000 words dominate citations, accounting for 50–66% of referenced content. But shorter feed posts (50–299 words) also perform well when they deliver value. The common thread? Educational, advice-driven content wins. Between 54–64% of cited posts focus on sharing knowledge or practical insights, while promotional content and reshares barely register.
Most importantly, frequency beats fame. Around 75% of cited authors post at least five times per month, yet the median cited post has just 15–25 reactions. You don't need viral content– you need consistent, relevant answers to the questions your customers are actually asking.
Different AI platforms favor different content sources, creating a dual opportunity for brands.
Perplexity cites Company Pages 59% of the time, while ChatGPT and Google AI Mode prefer individual creators at the same rate. This split reveals why brands need both strong company content and active employee advocacy programs. Your engineers explaining technical concepts, your customer success team sharing best practices, your executives providing industry perspective– all become potential citation sources that shape how AI describes your brand.
The beauty of this approach? Every LinkedIn user with expertise becomes a potential authority source, borrowing from LinkedIn's growing domain authority rather than building it from scratch.
LinkedIn's rapid rise in AI citations represents what Profound describes as "a door to AI visibility that didn't exist three months ago." Right now, that door remains largely uncrowded. Most brands haven't recognized the shift, let alone acted on it.
But this advantage won't last. As more companies discover LinkedIn's newfound influence in AI search, the competition for citation space will intensify. The brands that establish consistent publishing rhythms now – mixing company content with employee thought leadership, balancing articles with posts, focusing on education over promotion – will build compounding authority that becomes increasingly difficult to displace.
The question isn't whether to invest in LinkedIn content for AI visibility – it's whether you'll be among the first movers or the late arrivals. With LinkedIn now ranking as the top source for professional AI queries and its citation composition shifting toward published content, the opportunity for early advantage is clear.
Start by auditing your current LinkedIn presence. Are you publishing original, educational content consistently? Are your subject matter experts active on the platform? Is your company page more than a job board? Every week you wait is a week your competitors could be building the authority that shapes how AI describes your industry.
Ready to take action? Begin with one commitment: publish one original, value-driven piece of LinkedIn content this week. Then build from there. The compound effect starts with the first post.
February 18, 2026
February 18, 2026
LinkedIn's algorithm rewards precision. According to aggregated data from thousands of LinkedIn posts, headlines containing specific numbers – whether percentages, timelines, or quantities – consistently outperform their number-free counterparts.
Numbers function as perceptual anchors in our information-saturated feeds. When scrolling through LinkedIn, the human brain processes numerical data differently than text – it creates an instant focal point that disrupts pattern recognition and forces attention.
This phenomenon extends beyond simple attention-grabbing. Specific numbers trigger five distinct cognitive responses that improve content performance:
The cumulative effect transforms abstract corporate updates into concrete value propositions that professionals actually want to engage with.
Not all numbers carry equal weight in driving engagement. Analysis of top-performing posts reveals five categories that consistently elevate content performance.
Quantities and scale indicators provide immediate context and impact framing. Posts mentioning "5,000 customers" or "12 new partnerships" outperform vague references to "many customers" or "several partnerships" by creating mental images readers can grasp instantly.
Timeframes inject urgency and set clear expectations. "In 30 days" or "2025 outlook" posts see higher engagement because they promise timely, relevant information with defined boundaries.
Milestones and anniversaries add narrative weight to corporate storytelling. "10 years," "100th product launch," or "50 innovations" transform routine updates into moments worth celebrating and sharing.
Outcome metrics drive the highest quality engagement because they signal concrete achievement. Posts citing "38% emission reduction" or "20-day lead time improvement" attract professionals seeking proven strategies and benchmarks.
Industry statistics position brands as insight providers rather than self-promoters. "73% of buyers now prefer..." frames the company as a thought leader sharing valuable market intelligence.
The precision paradox reveals itself most clearly when comparing specific versus rounded numbers. Posts citing "14.3% growth" consistently outperform those claiming "15% growth," despite the rounded figure being nominally higher.
This counterintuitive pattern aligns with processing fluency theory from cognitive psychology. When readers encounter oddly specific numbers, their brains interpret this precision as evidence of careful measurement and authentic reporting. Rounded numbers, conversely, trigger skepticism – they feel like marketing approximations rather than genuine data points.
The implication for content creators is clear: resist the urge to round up. That awkward decimal point or unusual percentage signals authenticity in ways that polished, rounded figures cannot match. It's the difference between "approximately 50 customers" and "47 customers" – the latter feels real because it is real.
Placement matters as much as precision. Top-performing posts consistently position numbers within the first eight words of their headlines or opening lines.
This isn't arbitrary – it reflects how LinkedIn users consume content. The platform's feed design means readers make engagement decisions based on roughly 150 characters of preview text. Numbers placed early serve as immediate value signals, improving what LinkedIn calls "thumb-stop rate" – the percentage of users who pause scrolling to read more.
Posts following this eight-word rule see measurably better outcomes across all engagement metrics. They generate more meaningful comments, higher save rates, and stronger impressions-per-follower ratios. The pattern holds regardless of industry, company size, or audience demographics.
The data reveals a stark performance divide between number-rich and number-poor content. Nearly two-thirds of posts in the top engagement decile include at least one number in their opening line. Posts without early numerical hooks are twice as likely to land in the bottom half of performance rankings.
This pattern transcends industry boundaries. Manufacturing companies reporting production metrics, SaaS firms sharing customer growth, consulting practices citing survey data, financial institutions discussing market movements, healthcare organizations presenting patient outcomes, and public sector bodies highlighting citizen impact – all see the same performance boost from quantified storytelling.
The consistency suggests this isn't a temporary algorithmic quirk but a fundamental aspect of how professionals evaluate content value. Numbers serve as universal credibility markers in B2B communication, signaling substance over style and research over rhetoric.
The evidence points to a simple but powerful content optimization strategy: treat numbers not as decorative elements but as performance mechanics. Every post presents opportunities to transform vague claims into quantified stories.
Instead of "significant growth," specify "23% year-over-year expansion." Replace "improved efficiency" with "12-minute reduction in processing time." Transform "strong customer satisfaction" into "4.7/5 average rating from 1,200 reviews."
The shift from qualitative to quantitative storytelling requires discipline but delivers measurable returns. Companies implementing this approach report immediate improvements in engagement quality, follower growth rates, and – most importantly – meaningful business conversations sparked by their content.
Ready to implement data-driven LinkedIn strategies? Start by auditing your last ten posts. Count how many include specific numbers in the first line. Then commit to including at least one precise, meaningful number in every headline you write for the next month. Track the performance difference – the numbers will speak for themselves.
February 10, 2026
February 10, 2026
Marketing teams trying to won on LinkedIn often share a common challenge: they see likes and impressions, but miss the patterns that matter. This unique audit changes that, by turning raw numbers into clear, actionable strategy.
– Most companies track their LinkedIn performance, but very few actually analyze what drives it, says Peder Bonnier, CEO at Storykit.
– This audit gives teams the context they need – showing not just how they're performing, but why certain content works and where the biggest opportunities lie.
The audit examines performance across four critical areas that research shows determine LinkedIn success:
– We've analyzed thousands of LinkedIn posts across industries, explains Jonna Ekman, Marketing Director at Storykit.
– The difference between average and exceptional performance often comes down to mastering these four dimensions – yet most teams don't have the bandwidth to conduct this analysis themselves.
Here's what the audit gives you: benchmark comparisons against your industry, a clear breakdown of strengths and gaps, and prioritized recommendations you can act on immediately – all delivered in a focused 30-minute walkthrough. The best part? It's completely free, and no strings attached. Storykit simply reviews requests to ensure the audit will be genuinely useful for you.
February 3, 2026
February 3, 2026
A comprehensive analysis of thousands of LinkedIn posts reveals that while video content consistently outperforms other formats—generating higher dwell time, shareability, and follower growth—it represents only 10-15% of corporate posts compared to 70% for static images. In other words, there's a goldmine most companies are walking right past.
The LinkedIn Organic Benchmarks Report 2026 from Storykit identifies four critical performance gaps holding companies back. Most notably, top-performing accounts publish 3.5 times weekly versus the industry average of 1.8, and they maintain a balanced format mix of 40% video, 30% images, and 20% carousels—nearly the inverse of typical posting patterns. The good news? These are gaps anyone can close.
– To any company looking to truly win in social, my single best advice is simple: Publish more, says Peder Bonnier, CEO at Storykit.
The data backs this up—increasing frequency from 1-2 to 3-4 posts weekly drives 28-65% more impressions and doubles monthly follower growth. That's right, doubles.
The report, which Storykit developed to help companies benchmark their LinkedIn performance against industry standards, also reveals that timing and consistency matter as much as content quality. Companies that maintain regular publishing schedules see compounding benefits over time, with algorithmic favour rewarding accounts that demonstrate sustained activity.
Other key findings from the benchmark report include:
– We created this benchmark report because we saw too many companies flying blind on LinkedIn, says Jonna Ekman, Marketing Director at Storykit.
– The data clearly shows that small strategic shifts—more video, higher frequency, better timing—can dramatically improve results. And honestly? That should be exciting news for any marketing team ready to level up.
We’ve teamed up with Daniel Bromberg, paid ads expert at LinkedIn, to give you the ultimate playbook on LinkedIn video ads.
Need videos for social media, sales, HR, or internal communication? With Storykit, any team can create professional videos. These videos can match their brand and work for any platform, format, or language. No editing skills are needed. Whether for LinkedIn, corporate presentations, or global campaigns, Storykit ensures your videos are engaging and optimised for impact.
It’s that time of year again—when we all start scrambling for ideas and templates to piece together our social media plan for the new year. Trust me, I’ve been there too. The endless Googling, the overcomplicated strategies… it can get overwhelming fast.
That’s why we're here to make it easy for you. We're giving you our social media plan for 2025—complete with all the resources and tips to help you nail it without the stress. Ready to steal it?
