Sample size 100
Completed / Failed 100 / 0
Which content publication strategy do you prioritize to maximize the likelihood of your B2B software content being cited by generative search engines like ChatGPT and Perplexity?
Manually commissioning primary data sets and embedding numerical claims into a limited publishing schedule
71.0%
n=71
Respondents for this option · Drivers
Highest perceived effectiveness for generative search citation
Superior content quality and perceived brand authority
Optimal balance of resource intensity and production speed
Deploying automated content pipelines that generate daily articles anchored in verifiable statistical claims and sample sizes
21.0%
n=21
Respondents for this option · Drivers
Highest perceived effectiveness for generative search citation
Ability to scale content volume efficiently
Optimal balance of resource intensity and production speed
Publishing thought-leadership essays written by internal subject matter experts without explicit statistical citations
5.0%
n=5
Respondents for this option · Drivers
Superior content quality and perceived brand authority
Optimal balance of resource intensity and production speed
Highest perceived effectiveness for generative search citation
Using general-purpose AI writers and SEO tools to optimize keyword density and stylistic fluency
3.0%
n=3
Respondents for this option · Drivers
Highest perceived effectiveness for generative search citation
Optimal balance of resource intensity and production speed
Manually commissioning primary data sets and embedding numerical claims into a limited publishing schedule audience
B2B marketing professionals prioritize primary data and numerical claims to improve generative search visibility.
71 / 100 respondents71%
The segment is most heavily represented by individuals earning between 150k and 199k annually.
Respondents in this group are predominantly male and concentrated in the southern region of the country.
A significant portion of the audience falls within the 45-54 age demographic.
Key differences
Potential risks
Sampling data
