How Much of a Content Budget Should Go to Original Research

A content marketing budget shift from blog volume to original research in 2026 has no published percentage that we could find to copy. We read two large practitioner surveys, one from 2025 and one from 2026, and found no figure for the share of a content budget spent on research. What they report instead is a gap: in Orbit Media's data, teams that publish research are more likely to say their content works, and fewer teams are publishing it. So size the shift from the bottom up: price one study at vendor list prices, decide how many you can run well, and let the share fall out of the arithmetic. In the hypothetical budget below, one survey-based study costs $8,928, which is 7.4% of a $120,000 annual content budget and 14.9% of a $60,000 one.

What do the 2025 and 2026 surveys say about the shift?

The data on a content budget shift from blog volume to original research in 2025 and 2026 comes from two surveys, and neither shows money moving toward research. Orbit Media published its 2026 survey of 1,042 content marketers on September 8, 2026. Only 13.9% say their blog delivers strong results, which Orbit calls an all-time low after 12 years between 20% and 30%. On research, the report says: "After rising in popularity for nearly a decade, fewer marketers now publish new research studies, despite the fact that it improves the likelihood of performance by 50%." Results are self-reported and correlational, so they show what travels with reported success without proving that research caused it.

The Content Marketing Institute surveyed 1,015 B2B marketers, mostly from North America, between June 24 and August 14, 2025. Asked for the top three areas where they plan to increase investment during 2026, 45% named AI-powered marketing tools, 32% named owned media and 15% named research and insights. That category is wider than published studies, and a study could also be counted under owned media, so treat the 15% as a rough signal of priority.

Is there a standard percentage of the content marketing budget for original research?

We found no published "original research" percentage of the content marketing budget in either report. CMI writes of this edition: "Instead of slicing marketers by budgets or reporting lines, we segmented them by how well they're aligning to trends shaping the next few years." Orbit describes its 24 questions as covering what marketers create, how they promote it and how they use AI, and its report gives no spending figures.

A fixed percentage would mislead even if one existed. A study's cost hardly moves with the size of the budget around it, so in the example below the same study takes 14.9% of a small program and 3.0% of a large one.

How much budget does one proprietary data study need?

How much content budget original research needs depends on what one proprietary data study costs, and fieldwork turns out to be the smallest part. Two vendors publish list terms, which we read on October 7, 2026:

• SurveyMonkey advertises its Audience panel as "starting at $1 USD per response", so 500 responses start at $500. The page does not publish what narrower targeting adds.
• Prolific charges the participant reward you set plus a platform fee that "is usually 42.8% for corporate customers", and recommends paying at least $12.00 per hour. A 10-minute survey at that rate is a $2.00 reward. Apply the fee to the reward and each response costs about $2.86, or $1,428 for 500, before tax.

Neither page prices a screened professional sample, so get that quote before committing to a B2B audience. The table below is a hypothetical example. Its fieldwork line uses Prolific's list terms; the hours and the $100 hourly rate are our assumptions, so replace them with your own.

Fieldwork is 16% of that total. The other 84% is 75 hours of skilled work, and since Orbit's respondents average 3 hours, 20 minutes per blog post, one study absorbs the writing time of 22.5 average posts. Dividing the study cost by an annual budget gives the share:

To fund the shift from volume, divide by your cost per post. Assume the $120,000 team publishes 10 posts a month at $600 each. Two studies cost $17,856, which is about 30 posts, a quarter of the year's 120, and the calendar drops to 7.5 posts a month. Orbit notes that its own program publishes "6-8 research studies per year" and took years to build, so one or two is a sane first year.

Do link studies show that research content earns more links?

The SEO link study on original research content that still gets cited is the analysis of over 1 million articles that BuzzSumo ran with Moz, published on the Moz blog on September 8, 2015. In its random sample of 100,000 posts, over 75% had zero external links. The exception the authors found was "research backed content and opinion forming journalism", formats that in their words "achieve both higher shares and significantly more links." The sample is eleven years old, and among the studies we read we found no newer one that isolates research content, so take it as a direction.

Is there a B2B benchmark for links from data-driven content?

We found no B2B benchmark for the links and authority that original research and other data-driven content marketing earns. Set your own: count the referring domains the study page earns in its first six months against the average for the posts it replaced. Keep the outreach line in the budget, since writers in your category cannot cite proprietary data they have never seen.

Original research versus blog volume in SEO and AI search

Original research as a content strategy differs from blog volume in SEO and AI search in one practical way in 2025 and 2026: a study creates a figure that other pages should attribute to you, where most volume posts summarize figures that already rank. Google Search Central states, "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." The same page says both features may use a "query fan-out" technique that issues multiple related searches across subtopics and data sources. When those searches land on ten pages repeating one statistic, the page that produced it has the strongest claim to be cited, though nothing guarantees it. Our review of how often AI answers cite sources covers what the published numbers can support.

Volume still has a job, because a study needs supporting posts that answer the narrower questions around it and reuse its figures. If part of this budget is also moving toward answer engines, the split between SEO and AI answer visibility is a separate decision with its own method.

An information gain test before you fund a study

Information gain in SEO, and its connection to AI Overviews, traces to a patent, and we found no Google ranking documentation behind it. Google Patents lists US12013887B2, "Contextual estimation of link information gain", assigned to Google LLC and granted on June 18, 2024. Its abstract says, "An information gain score for a given document is indicative of additional information that is included in the document beyond information contained in documents that were previously viewed by the user." A patent describes a method and confirms nothing about what Search runs, and the AI features page names no such score. The nearest published guidance is the people-first content page from Google, which says Search Quality raters are trained to evaluate originality: "The extent to which the content offers unique, original information or perspectives that aren't already available on other websites."

The test works as a funding gate whatever any engine does. Ask four questions before fielding:

1. Does the number already exist? Search the headline question in Google and in two AI assistants. If a figure with a similar population and a recent date comes back, the study would repeat it.
2. Can you write the finding first? Draft three headline sentences with blanks for the numbers. If no plausible value would make a peer quote the sentence, the question is wrong.
3. Is the population hard to copy? Product usage data, customer records and screened professional samples are. A general consumer panel answering an industry question is easy to repeat and easy to doubt.
4. Would a result change a decision? Name the buyer decision each headline finding informs.

Fund a study that passes the first question and at least two of the others. Run the first question on planned blog posts too, because it is a quick way to choose the 30 to cut.

Knowing whether the shift paid

Orbit reports that 18% of its respondents do not know whether their blog delivers results, so set the scorecard before the money moves. Three counts cover a first year: referring domains to the study page, mentions of the finding with your brand attached in AI answers, and pipeline touched by the report. AI share of voice gives the second count a definition, the AI Visibility Checker is a further resource for a first look, and our guide to getting cited by ChatGPT, Perplexity and AI Overviews covers the tactics. If you want the study scoped and the supporting pages planned together, our AI search optimization team does that work.

After twelve months, compare the study against the posts it displaced on the same three counts. If it wins, next year's share can come from your own results.

Sources

• Orbit Media, Blogging Statistics 2026
• Content Marketing Institute, B2B Content and Marketing Trends, Insights for 2026
• Moz, Content, Shares, and Links, Insights from Analyzing 1 Million Articles
• SurveyMonkey, SurveyMonkey Audience
• Prolific, Pricing
• Google Search Central, AI features and your website
• Google Patents, US12013887B2, Contextual estimation of link information gain
• Google, Creating helpful, reliable, people-first content