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Marketing in 2026 is a whirlwind. Expectations are sky high, AI FOMO is everywhere, and the new playbook is being written in real time.
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OpenAI's GPT-5.4 model in ChatGPT cites brand websites far more often than its GPT-5.3 model. Brand sites receive 56% of GPT-5.4 citations but only 8% of GPT-5.3 citations. GPT-5.4 sends an average of 8.5 fan-out queries per prompt, while GPT-5.3 sends only 1 query. GPT-5.4 also cites commercial pages far more often. It cited pricing pages 138 times across 50 prompts, while GPT-5.3 cited them only 4 times. The models rarely cite the same sources.
AI is shifting software value from user interfaces to systems that capture data and automate work. The selloff in software stocks followed a narrative that AI makes SaaS obsolete, yet code was never the main moat. The most valuable layer is structured data systems of record that give AI agents the context needed to act, while new systems can now be created by extracting structured information from previously unstructured sources. Workflow products still matter because they encode industry knowledge about how work should be done, even if agents perform the steps instead of humans. The biggest shift is automation that replaces labor, which allows software to sell economic output instead of tools.
Anthropic's study finds that AI is reshaping knowledge-based roles rather than low-wage jobs. They introduce a measure called observed exposure. It combines theoretical AI capabilities with real-world usage and focuses on automated, work-related tasks. Computer programmers, customer service reps, and financial analysts are the most exposed. Actual AI coverage remains far below its theoretical potential. Workers in these roles are generally older, female, highly educated, and higher-paid. Overall, unemployment has not risen, but hiring of younger workers in exposed occupations has slowed. The US Bureau of Labor Statistics projects slower growth in these fields through 2034.
Clear expectations at the point of action increased conversions by 57% for FanTokens.com. The site redirects buyers to an external exchange to complete a purchase. User testing showed that many visitors felt uneasy when the redirect appeared without warning. The site changed the CTA from “Buy” to “Buy on [exchange name]” and added exchange logos and colors to the buttons. This change removed the surprise and improved trust during a critical step in the buying process.
Email content works best when it starts with understanding the signals your audiences give. Segment your list into groups based on behavior, engagement, or purchase stage. Tailor emails to what each group needs. Intent-driven emails respond to actions or objections. Awareness emails educate or build trust. Campaign emails share product launches, events, or promotions, but only to relevant recipients. Look for ideas in support interactions, reviews, and online discussions. Keep each email focused on one goal with guidance and a clear next step.
This webinar on March 18 looks at how buying journeys have become fragmented as consumers search across social platforms, marketplaces, and AI tools. It introduces Search Intelligence and explains how analyzing search behavior can reveal localized trends and ensure brands appear where audiences seek information. The session also shares real examples of companies using Trajaan to turn search data into insights that enhance brand visibility.
In this video, Eoin Clancy, VP of Growth at Airops, explains the role of content engineers and the 3 key signs of low-quality AI content. He also shares strategies for using AI without producing “slop”. Eoin dives into why webinars are Airops' top growth channel. He covers how they select topics, choose guests, run ungated sessions, and follow up to drive revenue.
Many brands still misunderstand creator marketing because it often gets added late in campaigns instead of being built into strategy from the start. Brands often assign influencer work to social or PR teams even though creator partnerships require separate expertise and dedicated processes. Many strategies also fail because agencies do not explain why specific creators or tactics support larger marketing goals. Long-term creator partnerships produce better insights and performance because brands gain audience feedback and data across multiple campaigns.
Signal theory says that every brand action communicates something to the market, and brands that chase trends or cultural moments often signal desperation rather than the relevance they intended. The brands that stand out are committed to a specific identity that alienates some people and attracts exactly the right ones. If a competitor's logo can be swapped onto a brand's marketing without anything changing, the brand has no signal worth following.
Most SEO fixes fail to ship not due to technical complexity but due to framing, with SEO teams making requests in a format engineering teams are not built to act on. Adopting a product requirements document structure forces SEO recommendations into the same language product managers use to get features built, complete with problem statements tied to business impact, user stories, acceptance criteria, and rollback thresholds. The format also creates accountability on both sides since a PRD with clearly defined requirements and success metrics gives the SEO team a paper trail when fixes are poorly implemented due to vague specs.
A framework to structure posts that balances stories, education, and promo content.
Disney+ is bringing short-form vertical video to its US mobile app with Verts, a scrollable feed of scenes and moments from its catalog designed to drive content discovery and daily engagement.