AI Search
Content Creation
By Jodi Cachey on April 23, 2026
In early 2024, Skyword surveyed more than 200 marketing leaders to understand how they were experimenting with generative AI (GenAI) in content creation. What we found was a moment of cautious momentum:
55% of marketers were already testing GenAI in their daily workflows.
Nearly 4 in 10 organizations banned it outright due to legal and security concerns.
Early adopters leaned on AI for speed and efficiency, not strategic impact.
We made three predictions:
Adoption would accelerate.
Restrictions would ease.
The real challenge would be moving beyond efficiency metrics to authority.
Just two years later, those shifts have arrived — but the story is more complicated than we expected.
Adoption hasn’t just grown; it’s become normalized. Restrictions haven’t disappeared; they’ve evolved. And the performance metrics marketers depend on have changed under our feet.
Get caught up: Download our 2024 GenAI in Content Creation report.
In 2024, most organizations treated GenAI like a controlled experiment — something to test in low-risk, internal workflows like ideation, research, or first-draft writing. Efficiency was the only metric that mattered.
Today, GenAI is no longer a pilot. It’s an operational default.
According to McKinsey, 71% of organizations now use GenAI in at least one business function, and global spend is projected to hit $98 billion this year, doubling again by 2033. CMI’s 2025 B2B research reinforces the trend:
89% of B2B marketers say they already use AI-powered tools.
Most use cases remain tactical — content creation (89%), creative asset generation (53%), SEO optimization (41%).
But here’s what we didn’t predict:
AI isn’t just transforming how marketers create content — it’s transforming how buyers make decisions.
Forrester reports that GenAI now influences nearly every stage of the B2B buyer journey. Buyers are using copilots, assistants, and conversational search tools to:
Research categories
Interpret complex data
Compare vendors
Short-list solutions
Increasingly, this entire process happens without ever visiting a website.
In less than two years, we’ve watched AI evolve from a productivity tool into a decision-support infrastructure — quietly rewriting how influence is formed and where it’s measured.
In 2024, nearly 40% of organizations banned GenAI outright. Legal and security teams held the brakes while they assessed data exposure, copyright risk, and liability concerns.
We predicted those bans would relax.
They did — but not because the risk disappeared.
Capgemini reports that 93% of organizations now use or explore GenAI, but the real shift lies in who is driving adoption. Mid-market companies, once hesitant, are now the most aggressive adopters. Their agility and lower compliance overhead have turned them into early category challengers.
Meanwhile, some large enterprises remain locked in lengthy review cycles, still negotiating indemnity clauses while smaller competitors sprint ahead.
This inversion has reshaped the landscape. Innovation is no longer dictated by scale. It’s dictated by permission to experiment.
Organizations succeeding with GenAI aren’t reckless — they are responsible, deliberate, and transparent. Their approach blends speed with safeguards, including:
Clear transparency around when and how AI is used.
Data sovereignty, preventing sensitive information from entering external models.
Vendor accountability on data use, liability, and model provenance.
Cross-functional governance, ensuring oversight as AI scales.
The lesson is this:
Bans are just as dangerous as blind adoption.
Winners balance confidence with control.
In our 2024 research, efficiency was the dominant goal. Teams measured success by hours saved and output created. But that playbook has collapsed.
Yes, GenAI is delivering productivity gains — CMI reports that 87% of marketers have seen improved productivity and 80% have seen greater operational efficiency — yet only 39% say AI has improved actual content performance. McKinsey echoes this gap: despite widespread adoption, 80% of companies still haven’t realized meaningful profit gains.
The reason is simple: faster doesn’t mean more influential.
The conversation has shifted from “Is AI content good enough?” to a more strategic question: Does your brand show up where decisions are being made?
Bain & Company finds that 80% of consumers rely on zero-click results for at least 40% of their searches, contributing to a 15–25% decline in organic traffic for many brands. Discovery has migrated to AI-mediated environments, where visibility is no longer awarded for volume — it’s awarded for authority.
And in this new environment, authority is earned differently. Proprietary expertise — the kind AI can’t synthesize — becomes the differentiator. Human-led originality becomes the safeguard against sameness. Influence comes not from producing more, but from being consistently cited, referenced, and recommended by both humans and algorithms.
Visibility is no longer about keywords.
It’s about being the source AI reaches for when buyers ask the questions that matter.
GenAI fulfilled a lot of the predictions we made — and defied just as many.
It’s no longer just a productivity lever. It’s now the connective tissue between how brands create content and how buyers make decisions. Marketers now stand between two simultaneous truths:
AI is a tool in your work.
AI is also a broker in the buyer’s journey.
The brands that win in 2026 are those that bridge the gap — using AI not just to produce content faster, but to build the authority required to be recognized as a trusted source across both human and algorithmic decision-making.
The era of attention is over.
The era of influence has begun.
In 2026, adopting GenAI isn’t the differentiator.
Becoming the brand that buyers — and AI — trust first is.
Curious how your brand can thrive in the age of AI discovery? Contact us.
Author
Jodi Cachey is a dynamic content marketer with a talent for creating captivating stories that engage audiences and drive results. Throughout her decade-plus of experience in B2B tech, she has excelled in diverse roles, including business development, sales, content marketing, and product marketing. Jodi received her Bachelor of Science in Media Studies from the University of Illinois at Urbana-Champaign.
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