92% use AI in content marketing: Why the success rate is still falling to an all-time low
English translation of the German original of 23 September 2026.
Orbit Media's annual blogging survey, tracked since 2014, shows an apparent contradiction: AI use in content marketing is practically universal, yet measured success is at its lowest level since the survey began. What lies behind this contradiction – and why the most effective strategies of all are the most neglected.
AI use is practically universal, measured success at its lowest level since the survey began in 2014.
- →Orbit Media (1,042 content marketers surveyed, tracked since 2014): only 14% now report “strong results” – an all-time low. 19% do not even know whether their blog works at all.
- →92% use AI for blogging and save an average of 50 minutes per article – but AI users and non-users report strong results equally often (14%).
- →Influencer collaborations deliver the highest measured success rate (2.6× above average) – but are the most neglected: use fell from 25% (2017) to just 7% (2026).
- →Original research improves the likelihood of success by 50% – but is done less often.
Twelve years of data show a clear break
Since 2014, Orbit Media has surveyed content marketers every year on production, frequency, time spent and – for some years now – AI use. The current edition (September 2026, 1,042 respondents) shows a clear break: only 14% report “strong results” with their blog, compared with 26% in 2022 – an all-time low since the survey began. At the same time, 19% of respondents do not even know whether their blog works at all – up from 9 to 14% previously. More marketers now do not know whether their blog works than report strong results:
What stands out: 92% of marketers now use AI for blogging, saving 50 minutes per article on average – production time fell from 4 hours 10 minutes (2022) to 3 hours 20 minutes (2026), average word count from 1,427 (2023) to 1,312 words. But AI use does not correlate with better success: AI users and non-users report strong results equally often, at an identical 14%. The time AI saves apparently does not automatically translate into better results.
Instead, Orbit Media identifies other factors with a measurable effect: original research improves the likelihood of success by 50% – but is done less often. Formally edited content achieves almost twice the average success rate, while content edited only by AI falls below it. And influencer collaborations deliver the strongest measured effect of all, at 2.6 times the success rate – but their use fell from 25% (2017) to just 7% (2026), the steepest decline of all strategies examined.
Not ineffectiveness, but neglect
Orbit Media's own core thesis hits the mark: marketers are cutting back on the most effective strategies – not because they have become ineffective, but for efficiency reasons. AI makes creating content cheaper and faster; precisely because of that, the incentive to invest in the more laborious but demonstrably more effective components falls: original research, involving experts, editorial care, collaborations. The result is more content in less time – with falling average impact.
“AI makes you faster, but speed isn’t the point. If the strategy is weak, you’ll fail with or without AI.” — Andy Crestodina, co-founder, Orbit Media
Claim: “AI automatically makes content marketing more successful.”
Assessment: No. According to Orbit Media, AI users and non-users report strong results equally often – only 14%. AI saves time – 50 minutes per article on average – but does not automatically improve the result.
Claim: “Content marketing simply does not work any more.”
Assessment: The strategies that demonstrably work – original research, involving experts, formal editing, influencer collaborations – are simply used less often, not because they stopped working, but for efficiency reasons. The problem is neglect, not ineffectiveness.
Claim: “Editing by AI alone is an equal substitute for human editorial quality control.”
Assessment: No. According to Orbit Media, formally edited content achieves almost twice the average success rate, while content edited only by AI falls below it. Human quality control remains a success factor in its own right.
Claim: ““Strong results” is a measured metric like traffic or revenue.”
Assessment: No. Orbit Media asks marketers for their own assessment (“strong marketing results” as one of four answer options) – without checking it against actual business figures. All success rates in this insight are self-assessments, not measured impact.
Reinvest efficiency gains deliberately, don't just bank them
Use AI for efficiency, but do not see it as a substitute for the actual success factors: according to the study, original research, involving experts and formal editorial control remain decisive.
Reassess influencer collaborations despite their declining use – with the highest measured success rate (2.6× average), they are one of the most underrated strategies, precisely because they are neglected.
If you do not know whether your blog works (according to the study, now 19% of all marketers), set up reliable success measurement before any further content investment – AI efficiency gains do not help if nobody checks the result.
What AI does not replace: research and editorial judgement
That AI makes execution cheaper while the actual value creation lies elsewhere is also described in the insight “Microsoft declares manual programming over” (in German) – there for code, here for content: original research, involving experts and editorial control are essentially specification work that AI does not replace, but which makes the question of who still does it all the more pressing.
That content ecosystems are under pressure is also shown, from a different perspective, by the insight “The AI answer needs what it is destroying” (in German) – there, AI answers dry up the business model of editorial sources; here, willingness to invest falls in exactly the quality work that AI answers also depend on.
That a metric says little without being checked against real impact is shown from another angle by the insight “How reliable is your AI visibility score really?” – there for AI visibility scores without a margin of error, here for a “success rate” that is pure self-assessment and is never checked against real business figures.
AI use and the neglected success factors
No. According to Orbit Media, AI users and non-users report strong results equally often (14%). AI saves 50 minutes per article on average, but does not automatically improve the result.
Original research improves the likelihood of success by 50%, formally edited content achieves almost twice the average success rate, and influencer collaborations deliver the strongest measured effect at 2.6 times the success rate – but all three are increasingly neglected.
Not because the effective strategies have stopped working, but because they are used less often for efficiency reasons. AI makes content cheaper and faster, but in doing so also lowers the incentive to invest in research, involving experts and editorial care.
Reinvest AI efficiency gains deliberately in the actual success factors instead of just banking them – and first check whether their own content is measured at all: according to the study, 19% of marketers do not even know whether their blog works.
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