Content Marketing Success Hits 12-Year Low Despite Record AI Use

What Happened

Content marketing performance has sunk to its lowest point in more than a decade. In its 11th annual blogging survey, Orbit Media found that just 14% of marketers report that their content delivers "strong results." That figure represents nearly half the 26% recorded in 2022, sliding six percentage points below the previous 12-year low.

This drop coincides with record tech adoption: 92.4% of marketers now use AI tools in their production pipelines. Yet Orbit Media found zero correlation between AI usage and content success. Rather than an issue with the technology itself, the slump points to a widespread tactical blunder. Teams are using generative AI to produce material faster, but in the process, they are dropping the demanding, high-impact practices that build brand authority, audience loyalty, and search visibility.

Ann Handley, Chief Content Officer at MarketingProfs, described the findings as an essential wake-up call, emphasizing that marketers must be "much (MUCH!) more discerning about which effort we remove, and which we keep."

Key Details

The survey highlights several critical changes in how modern marketing teams create content:

• Faster Production, Diminishing Returns: Writing an average blog post now takes 3 hours and 20 minutes, down from over 4 hours in 2022. While this efficiency saves the typical creator roughly 50 hours annually, reported content performance continues to fall.
• The Expert Collaboration Deficit: Working alongside industry practitioners proved to be the single strongest predictor of success. Contributors who partner with subject-matter experts were 2.6 times more likely to report strong results. Even so, collaboration with experts and influencers dropped from 25% in 2017 to a record low of 7% this year.
• Abandoning Core SEO Disciplines: Marketers who routinely conduct formal keyword research were far more likely to see top-tier results. Nevertheless, fewer creators bother researching search demand before writing, wrongly assuming modern AI search renders keyword discovery obsolete.
• Slashing Quality Checks: Teams are also cutting corners across the board. Marketers have pulled back significantly on conducting original research, hiring dedicated human editors, running paid promotion, and maintaining regular analytics reviews.

What It Means For Your Business

For business owners, rushing to churn out automated copy has flooded the web with undifferentiated noise. Generic AI drafts may keep an editorial calendar full, but they rarely generate leads, build trust, or capture real visibility.

To stand out and drive measurable outcomes, company leaders should adapt their strategy around four practical moves:

• Shift from Volume to Information Gain: Conversational tools like Perplexity, ChatGPT, and Google Gemini reward net-new, verifiable details over generic summaries. If your article merely recycles information already indexed by large language models, neither human prospects nor AI discovery engines have any incentive to highlight your brand.
• Treat AI as a Research Assistant, Not the Author: Deploy generative software to structure outlines, transcribe interviews, or brainstorm angles. Keep strategic voice, line editing, and rigorous fact-checking firmly in human hands.
• Reinvest Saved Time in Original Data and Experts: Do not treat the 50 hours saved by AI as pure cost reduction. Channel those hours back into field work: interview local practitioners, capture firsthand customer insights, and publish proprietary survey data.
• Double Down on Generative Engine Optimization (GEO): Surfacing in conversational answers and Google AI Overviews demands distinct entity signals. Articles built around named specialists, structured technical data, and first-party insights stand a far better chance of being extracted and cited as primary references.