Sample size 200
Completed / Failed 200 / 0
Which type of source material do you prioritize most to substantiate core arguments in your B2B SaaS content to improve visibility in generative search engines?
Proprietary primary research and numerical data sets
59.5%
n=119
Respondents for this option · Drivers
Highest perceived authority and trust by target audience
Best alignment with our brand's unique voice and expertise
Strongest positive impact on generative search engine ranking
Most efficient to produce within our publishing schedule
Public secondary research reports and industry benchmark studies
22.5%
n=45
Respondents for this option · Drivers
Highest perceived authority and trust by target audience
Strongest positive impact on generative search engine ranking
Best alignment with our brand's unique voice and expertise
Most efficient to produce within our publishing schedule
Expert interviews and qualitative commentary
11.5%
n=23
Respondents for this option · Drivers
Highest perceived authority and trust by target audience
Best alignment with our brand's unique voice and expertise
Strongest positive impact on generative search engine ranking
Most efficient to produce within our publishing schedule
Rephrased summaries of existing web content and keyword-optimized blog posts
5.5%
n=11
Respondents for this option · Drivers
Most efficient to produce within our publishing schedule
Strongest positive impact on generative search engine ranking
Best alignment with our brand's unique voice and expertise
Highest perceived authority and trust by target audience
None of the above / Not applicable
1.0%
n=2
Respondents for this option · Drivers
Strongest positive impact on generative search engine ranking
Highest perceived authority and trust by target audience
Proprietary primary research and numerical data sets audience
Content creators prioritizing proprietary research and data sets skew toward higher-income, older, and male demographics.
119 / 200 respondents59.5%
This segment shows a strong preference for using primary research and numerical data to boost generative search visibility.
The audience is notably composed of higher-income earners, with 39% reporting annual incomes exceeding $200,000.
The group leans slightly older and male compared to the broader baseline of content creators.
Key differences
Potential risks
What are they worried about?
Operational strain and publishing bottlenecks
The biggest risk is the significant time and budget required to produce original research, which often delays our publishing schedule and strains internal resources.
Rapid data obsolescence and loss of relevance
The primary risk is that expert insights become obsolete almost immediately, forcing me to constantly refresh content to maintain relevance in a market that moves faster than my publishing cycle.
Difficulty proving ROI and search performance attribution
The biggest risk is that I cannot definitively prove to leadership that our investment in proprietary research directly drives the specific search rankings or traffic spikes we are seeing.
Audience alienation due to overly technical content
My biggest risk is that relying on highly technical proprietary data will alienate broader audiences and lead to low engagement if the content becomes too dense for the average reader.
Risk of audience alienation due to excessive technical complexity
My biggest concern is that relying on overly technical source material will alienate our target audience and lead to low engagement. It is a constant struggle to balance depth with accessibility so that our content remains readable for decision-makers.
Sampling data
