The research inside your white paper may still be valuable. How you publish, structure, and expose that research increasingly determines whether AI systems can use it.
by Dan Corcoran, Chief Technology Officer, Chief Information Security Officer, VP Sales Enablement
For years (decades even), the white paper formula was predictable. You conduct research, write a report, design an attractive PDF, gate it, and promote it.
It was a model that was built for human readers and traditional lead generation operations. But the advent of AI changed everything.
Buyers are increasingly using AI (Chat GPT, Google Search AI mode, Claude, Copilot, etc.) to find answers to the questions that they might have found by reading your white paper or report. Those systems, in turn, need discoverable content that they can retrieve, read, interpret, and use to construct an answer.
That does not make the traditional white paper obsolete. It does, however, mean organizations need to rethink how they publish one.
The research, expertise, evidence, or benchmark inside your existing white papers may already be exactly what AI systems need. After all, AI loves new ideas. The problem is that much of it has always been packaged for a world that worked differently.
A PDF Is No Longer the Best Format for Your White Paper
Let’s start this section by clearing the air: there is nothing inherently wrong with a PDF. Most modern AI systems can work with a straightforward PDF containing clean, sequential text—think a single-column document like a textbook.
But many PDF white papers are not designed that way.
PDF is fundamentally a presentation format. It is designed to preserve the visual appearance of a document, making it ideal for creating an engaging experience for humans.
However, that same presentation format can complicate things for AI.
Multi-column layouts, sidebars, callout boxes, charts, captions, footnotes, tables, and text wrapped around graphics can all disrupt the document’s reading order. If you’ve ever copied the text from a PDF into Word only to watch paragraphs, columns, and captions appear completely out of sequence, you’ve seen this problem firsthand.
What appears perfectly logical to a person may be extracted as disconnected text blocks, with a sidebar inserted into the middle of a paragraph or columns read in the wrong sequence. Complex document layouts and reading-order inference remain active challenges in document parsing.
Think Carefully Before You Gate a Top-of-Funnel White Paper
Gating your white paper may generate leads, but it also limits discoverability.
That tradeoff matters even more for top-of-funnel research papers or white papers, where a download may not signal buying intent. Many readers are still researching, comparing options, or simply trying to educate themselves on the topic.
At the same time, AI search tools and LLMs cannot find or cite an asset that is not indexable and findable (i.e., gated).
For proprietary research, benchmarking data, or lower-funnel content, gating may still make sense. But for educational, top-of-funnel white papers, broad visibility is probably more valuable than a form fill.
White Papers Should Publish Facts, Not Generic Statements
AI systems look for useful information, not broad, generic statements that are obvious to most people.
Instead of writing something simple like:
“Digital transformation drives business success.”
Give readers—and AI—something specific:
“An estimated 90% of organizations are now undergoing some form of digital transformation.” (McKinsey, 2024)
And cite your source. Whether the insight comes from your own primary research or a third-party study, tell readers where the information originated so they can evaluate its credibility and explore it further.
The strongest white papers combine original research, industry benchmarks, customer outcomes, quantified results, and expert analysis. Supported by credible sources, those insights establish your organization as a trusted authority while giving AI systems information they can confidently reference.
4 Ways to Make Your White Paper Easy to Interpret and Cite
The easier your content is to navigate, the easier it is for AI to cite and for buyers to find the information they need.
- Use descriptive headings that communicate the actual finding, not generic titles like Key Findings or Recommendations.
- Follow a consistent heading hierarchy (H1, H2, H3) so both readers and AI can easily understand the organization of your content.
- Include an FAQ section that answers the questions buyers are actually asking. FAQs naturally align with how people search and how AI systems retrieve information.
- Bring important metrics into the body of the content instead of burying them in charts, graphics, or callout boxes. Support significant claims with enough context—including the source, publication date, methodology, customer, or industry—to establish credibility.
- Structure case studies around evidence, not just storytelling. Clearly identify the customer’s problem, the solution that was implemented, the measurable results, the implementation timeline, and the key lessons other organizations can apply.
In Conclusion: Your Competitive Advantage Is Discoverability
AI-friendly content does not mean writing for LLMs instead of humans.
Write in a non-redundant, narrative format that is well researched and well designed with visual elements that make the white paper something that is worth reading. The key is to make sure that the data contained within is accessible and clearly structured so AI systems can find it and cite it.
As AI becomes a larger part of how buyers research solutions, the organizations whose expertise is easiest to find, understand, and cite will have an advantage.
Want to discuss how Mainstay’s Advisor platform helps solve the challenge for publishing content that is seen and engaged with? Reach out to Mainstay
