What Editors Look for in a 2027 Prediction, with Kelsey Sowder
Every fall, editors get flooded with predictions for the year ahead. The ones that stand out become trend stories, expert roundups and bylines. The rest disappear. For B2B marketers, a strong prediction is a great way to earn media coverage, build executive credibility with buyers and create content that keeps surfacing in LLM answers for years. Getting there means pushing past the safe, hedged or self-serving takes most executives start with. In this episode, Kelsey Sowder , VP of Client Relations at PANBlast , shared how to get predictions worth running from your company spokespeople. She covers how to tailor questions to each executive, find the white space, and push the "why" and "how" until a lukewarm answer turns bold. Kelsey and Lindsey also trade PANBlast's own predictions for B2B marketers, including why customer proof will become the credibility standard, comms will move to the front lines, and a newsletter reckoning is coming. Key Takeaways: Ask "why" and "how" until an exec gives more than a lukewarm answer Strip hedging so every prediction is a bold, finite idea media will run Show customer proof without names, using aggregate data or "a Fortune 10 retailer" Give earned media time: older coverage still drives LLM answers today Timestamps: (00:00) Introduction (02:33) Kelsey's 11 years and role at PANBlast (04:28) Cocktail and mocktail (05:53) What prediction season is and why it still works (08:57) How to pull predictions out of executives (10:10) Four best practices for a meaty prediction (12:02) Pushing past predictions that are really product pitches (13:25) Prediction: customer proof becomes the credibility standard (16:33) Prediction: comms moves to the front lines (19:56) Prediction: the 2027 newsletter reckoning (22:29) How clients respond to new media opportunities (25:08) Is "more content" out as a strategy? (26:52) Why earned media still matters for AI visibility (28:03) When an Ad Age feature doesn't show up in LLMs Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/






