We surveyed over 250 top digital leaders—from CMOs to VPs, and Senior Directors at enterprise companies—on how they’re approaching answer engine optimization (AEO) in 2026. The verdict is nearly unanimous: 97% reported a positive impact from AEO / GEO in 2025, and 94% plan to increase their AEO / GEO investments in 2026. This report details the exact strategies, roles, and technologies they’re prioritizing, from hiring prompt engineers to adopting integrated AEO / GEO platforms. Generative AI and answer engines have redefined digital discoverability, giving users more direct pathways to find brands, compare solutions, and drive purchase decisions.

How each generation evaluates brands, responds to content, and decides who gets their business. Imagine facing a conference table filled with stakeholders from four different generations, each with unique expectations and communication styles. You’re under pressure to deliver campaigns that speak to them without coming across as intrusive or inauthentic. That pressure is real. B2B buying has evolved into a high-stakes, multi-generational maze where a single misfire can cost you credibility. Data Axle surveyed over 450 B2B buyers of varying ages to uncover trends in how each generation thinks about purchasing, trusts vendors, and responds to marketing tactics. The findings reveal how B2B buyer behaviors have changed, how they differ between generations and how you can work this invaluable information into both your long-term and short-term marketing program.

Learn about the trends shaping personalization in digital marketing, based on insights from our original industry research. It’s never been harder to capture attention. Despite adtech becoming more sophisticated, the internet is saturated with ads that fail to resonate—let alone convert. As a result, marketers have moved away from the one-size-fits-all approaches that dominated early digital advertising and adopted more personalized marketing strategies. Most say they’re advanced, but the data suggests otherwise.

The Personalization Playbook is your go-to guide for proven, high-impact omnichannel marketing tactics that drive engagement, conversions, and customer loyalty. Packed with challenge-led use cases and detailed automation workflows, this Playbook helps you take the guesswork out of execution and build high-performing campaigns.

What’s Inside

Whether you’re looking to re-engage inactive customers, drive more conversions, or optimize your omnichannel approach, this Playbook gives you the strategies and step-by-step guidance to make it happen. Inside, you’ll find real-world use cases to help you:

This playbook explores the evolution of barcodes, best practices for QR code use, and the distinct advantages of Flowcode QR codes. Retailers face intensifying pressure to turn in-store and on-package attention into identified customers and revenue. Static QR codes fall short, unable to capture crucial first-party data or offer tailored product information. However, Flowcode’s enterprise-grade QR platform empowers retailers to easily measure performance, personalize the customer journey, and collect actionable data.

Tired of generic AI advice? Get the real playbook top marketers are using to turn AI into their secret weapon. From 94% better conversion rates to 20% productivity jumps, these are the strategies actually moving the needle – straight from HubSpot, a16z, and Asana leaders. Don’t waste time with AI experiments that go nowhere. This guide cuts through the noise to show you exactly how marketing leaders are using AI to level up their content creation game, crush their numbers, and optimize the customer journey.

Artificial intelligence has not yet fulfilled its email marketing potential, at least not without human help. There is a maturation gap between the AI-powered email that marketers can imagine and the campaigns they can actually create. Filling this gap could be a significant opportunity. Email marketing should seemingly be obsolete. The first “email,” after all, occurred in October 1971, nearly 55 years ago.

AI adoption is nearly universal, but ROI confidence is slipping. Learn how mature teams connect AI to pipeline, deal velocity and revenue growth. We’ve all felt it — that initial buzz around AI.  For a while, every marketing conversation started with “Did you see what ChatGPT can do?” Now the novelty has faded and it’s time for something much less flashy but far more critical: making AI actually work for our businesses.