This page compiles published survey and web-analysis data on AI in content marketing, drawing on 2026 benchmarks from Averi, Typeface, and theStacc, plus consumer-trust research from Capgemini, SmythOS, and Baringa.
The AI Behavior Index is the research arm of OneChat AI, an integrated multi-model AI platform. We compile and analyze data from primary research sources to make AI adoption and market trends more accessible to journalists, researchers, and decision-makers.
Why adoption figures range ~89–94%: these are survey results across different marketer samples and question framings ("use AI for content," "plan to use," "use daily"). We show the direction (sharp climb) and note the range rather than asserting one exact figure. Consumer-trust statistics come from separate studies with different populations, so the 73%-trust and 52%-disengage figures are not from the same survey — they describe a general pattern, not a single dataset.
Methodology notes: each chart cites its source. The "pure-AI vs blended" figures are from web-content analysis of newly published pages, not marketer surveys. The trust-paradox chart combines findings from multiple consumer studies to illustrate the tension; treat the individual percentages as indicative. Task-level usage figures allow multiple selections per respondent, so they do not sum to 100%.
Sources used on this page:
- Averi — State of AI Content Marketing 2026
- Typeface — Content Marketing Statistics 2026
- theStacc — AI Content Statistics 2026 (blend ratio; trust paradox)
- AutoFaceless — AI Content Creation Statistics 2026
- DemandSage — AI in Marketing Statistics 2026
Corrections or suggestions: research@aibehaviorindex.org