In the rapidly evolving landscape of business-to-business marketing, a significant paradigm shift is underway, compelling marketers to reimagine their content strategies. The traditional focus on human decision-makers is now being augmented by a critical, yet often overlooked, audience: Artificial Intelligence (AI) answer engines. A recent comprehensive survey conducted by Ascend2, in collaboration with TopRank Marketing, titled "Answer Engine: The State of B2B Thought Leadership in 2026," reveals that 97% of B2B marketers acknowledge the critical role of thought leadership in achieving full-funnel success. However, the report highlights a growing challenge: AI tools are increasingly influencing how B2B buyers discover and evaluate information, demanding a dual approach to content creation and distribution.
The survey, which polled 797 B2B marketers, underscores a strong belief in the efficacy of research-based content. A substantial 93% of respondents confirmed its effectiveness in driving engagement and leads, with 48% deeming it "very effective." This sentiment is further amplified when collaboration with industry influencers is involved. Marketers who frequently partner with influencers rate their research content as "very effective" at a rate of 72%, significantly outperforming the 29% reported by those who do not engage influencers. This synergistic relationship between original research and expert validation is emerging as a cornerstone of successful B2B marketing.
However, a new entrant is disrupting this established dynamic. The report identifies a startling trend: 32% of buyers now discover thought leadership content through Generative AI (GenAI) tools. This nascent channel, virtually absent from most marketer distribution lists just a year ago, signifies a profound alteration in the buyer’s journey. Marketers are now tasked with satisfying the information-seeking behaviors of both their human counterparts and sophisticated AI algorithms.
The Dual Audience: A New Frontier for B2B Content
By 2026, B2B marketers are grappling with a bifurcated audience. The first, a well-established buying group, typically comprises eight to ten individuals. These professionals are characterized by their skepticism, time constraints, and the significant personal risk associated with making an incorrect recommendation. They meticulously scrutinize information for defensible proof points to justify their decisions internally.
The second audience, however, is a more recent development: retrieval and reasoning systems. These AI engines, including prominent platforms like ChatGPT, Perplexity, Google AI Mode, and Claude, are actively reading, summarizing, and ultimately deciding which brands merit selection when a user poses a query. This "invisible" audience demands content that is not only informative but also readily understandable and verifiable by machine learning models.
A common pitfall for B2B marketers has been the tendency to treat these two audiences as separate entities, allocating distinct resources and strategies for each. The Ascend2 research, however, indicates a more integrated approach is not only possible but essential. Both human buying groups and AI answer engines respond to similar core signals: proof, source authority, and consensus among credible sources.
Original Research: The Bedrock of Credibility and Discoverability
The report emphasizes that original research and unique customer insights serve as the crucial "proof" that satisfies the demands of both audiences. This proprietary data provides the verifiable evidence that human buyers need to build internal consensus and the attributable facts that AI systems require for accurate summarization and citation.
"Original research is significantly more valuable than AI-generated content for building trust and authority," stated the report, citing that 35% of B2B marketers hold this view, with an additional 32% finding it more impactful overall. This insight is particularly pertinent for marketers who may be leaning heavily on AI for content generation. The study posits that content most likely to be replicated by machines is content that a machine could not have conceived independently, even acknowledging that synthetic data ultimately originates from primary sources.
The power of original research lies in its ability to generate new knowledge, an asset that cannot be easily synthesized from existing information. When a brand publishes unique insights, it establishes itself as the definitive source for that fact. This leads to a cascade of positive outcomes: journalists cite the research, analysts reference it, influencers engage with it, and AI systems attribute it. Each of these actions functions as a potent trust signal, directing attention back to the originating brand.
The performance data further validates the investment in research-based content. As previously mentioned, 93% of B2B marketers employing original research report high effectiveness in driving engagement and leads, with 48% classifying it as "very effective." This demonstrable success is already spurring further investment, with 47% of B2B marketers planning to increase their utilization of original research and data-driven content in the coming year.
The genesis of this research is also critical. The survey found that 53% of B2B marketers prioritize direct customer feedback when selecting research topics, followed closely by CRM data and competitor/market trend analysis, each cited by 44%. Research that directly addresses the questions buyers are already asking is inherently more likely to be utilized. Conversely, research that merely confirms pre-existing opinions risks being overlooked.
The Indispensable Role of Influencers in Amplifying Research
While original research provides the foundational data, its impact is significantly amplified when contextualized and validated by trusted industry voices. This is where B2B influencers play a pivotal role. The Ascend2 research unequivocally demonstrates this synergy: 72% of B2B marketers who frequently collaborate with influencers rate their research-based content as "very effective," compared to just 29% of those who do not. This stark contrast highlights how third-party endorsement transforms a brand claim into a credible narrative.
B2B buyers are increasingly discerning, and generic brand assertions are often met with skepticism. Marketers recognize this, with 45% indicating that featuring industry influencers or experts would enhance the impact of their thought leadership content. Despite this awareness, consistent execution of influencer collaborations remains a challenge for many.
Independent research corroborates the critical importance of trust in the B2B space. A report by the B2B Institute at LinkedIn and Ipsos, "The Credibility Code," found that 94% of B2B marketers consider trust paramount to success. Furthermore, a LinkedIn x GWI 2024 study revealed that 82% of B2B buyers are influenced by creator content in their purchasing decisions.
While LinkedIn’s findings effectively illustrate the power of creators in amplifying credibility within a professional feed, it represents an incomplete picture of the entire B2B buyer journey. The Ascend2 research reveals a disconnect between where marketers distribute thought leadership and where buyers actually consume it. For instance, 54% of marketers use LinkedIn for distribution, but only 38% of professionals report consuming thought leadership there most frequently. A similar pattern emerges with YouTube (50% distribution vs. 34% consumption) and webinars (48% distribution vs. 34% consumption). This suggests a concentration of marketing efforts in channels that may not align with peak buyer consumption.
The core principle is that credibility built within a single platform often remains confined to that platform. However, credibility forged through owned evidence, validated and contextualized by credible experts, published in structured formats, and cited across owned, earned, and social channels, possesses a far greater reach. This portable credibility travels across search results, media coverage, peer communities, and crucially, into the training and retrieval data that AI answer engines rely upon. This pervasive discoverability is the essence of becoming the "best answer" for buyers.
The Six Drivers of Best Answer Marketing: A Unified Approach
The Best Answer Marketing (BAM) framework, developed by TopRank Marketing, outlines six key drivers designed to function as an integrated system, catering simultaneously to human buyers and machine discovery. Each driver addresses specific needs for both audiences:
- Original Research: Generates proprietary insights that serve as verifiable proof for human buyers and citable facts for AI.
- Influencer Marketing: Leverages trusted voices to add context, validation, and amplification, making content more relatable to humans and more authoritative for AI.
- SEO & Content Optimization: Ensures content is discoverable through search engines for humans and understandable by AI algorithms.
- Content Distribution: Strategically places content across relevant channels to reach both human audiences and AI training datasets.
- Brand Authority: Cultivates a reputation for expertise and trustworthiness, influencing both buyer perception and AI ranking signals.
- Measurement & Analytics: Tracks performance across human and machine interactions to refine strategies and demonstrate ROI.
Implementing these drivers in isolation yields marketing results. However, their synergistic application can create compounding effects, significantly enhancing brand visibility and influence.
Content Formats that Bridge Research, Influence, and Thought Leadership
The selection of content formats is crucial for effectively integrating original research, influencer expertise, and thought leadership. The Ascend2 report identifies three essential characteristics for prioritizing these formats:
- Evidence-Based: Content must be grounded in original data and insights.
- Expert-Validated: It should incorporate the perspectives and endorsements of credible influencers.
- Multi-Format: The core insights should be translated into various accessible formats to cater to diverse consumption preferences and AI processing capabilities.
B2B marketers believe that incorporating industry influencers and experts into their thought leadership content would significantly enhance its impact. The survey data highlights the formats that are perceived to be most effective in achieving this integration:
- Flagship Original Research Report: This serves as the foundational asset, detailing methodology and providing proprietary data. It is the sole format that creates verifiable facts competitors must credit.
- Research Statistics Hub: A well-structured, permanent webpage presenting key findings as discrete statistics, complete with dates, sample sizes, and methodology. This format attracts citations and links, offering AI an unambiguous source to attribute.
- Video Podcast Series: Recorded conversations featuring practitioners and analysts reacting to research findings. A single production yields video, audio, transcripts, quote graphics, and short clips, with transcripts being particularly valuable for search and AI systems.
- Research-Backed Webinars and Virtual Roundtables: Live sessions where credible voices interpret data for specific segments. These events offer human audiences debate and nuance, while the recordings become on-demand assets with searchable transcripts.
- Interactive Data Experiences: Tools like assessments, benchmark calculators, and data explorers allow buyers to see their own situations reflected in the research, generating first-party insights for the marketer and personalized results for the buyer.
- Earned Media and Digital PR: Pitching research findings to trade publications, industry newsletters, and analysts. Third-party coverage validates the work for human readers and generates off-site mentions that heavily influence AI system selections.
- Co-created Guides and eBooks: Longer-form content where influencers and internal experts contribute original commentary alongside data. Contributors gain credible bylines and become active distribution partners.
- Executive and Influencer Bylines: Opinion pieces placed in reputable industry publications, authored by recognized individuals with established track records. Bylines carry an authority signal that brand-authored content often struggles to achieve.
- Real-World Events: Conference sessions, executive dinners, and on-site studio recordings at industry events facilitate in-person relationship building with experts and generate content pipelines.
- Digital Events and Livestreams: Recurring LinkedIn Live sessions, AMAs, and virtual panels with a focus on consistency over polish. These formats are effective for reacting to industry news with supporting data.
- Short-Form Video: Concise, on-camera delivery of individual findings (under 90 seconds) designed to capture attention in scrolling feeds and extend the lifespan of research reports.
- Documentary and Masterclass Content: Cinematic or instructional treatments that transform research into compelling narratives featuring customers and experts, as exemplified by Sprinklr’s Socialverse program.
- Newsletters (Owned and Sponsored): Leveraging owned email lists and paid placements in trusted third-party newsletters to reach audiences who may not see organic content. Sponsorship borrows established relationships for greater reach.
- Peer Communities and Slack Groups: Active participation in private forums where buyers seek candid advice. Top-performing marketers are nearly twice as likely to diversify distribution across emerging channels, including YouTube, podcasts, and peer communities.
- Serialized Blog and Article Program: Publishing research as a sustained sequence of articles, each addressing a specific buyer question in depth. This approach provides an ongoing supply of indexed, citable answers, extending beyond the single moment of a report launch.
Navigating Measurement in the Age of AI
The inclusion of AI in the audience mix presents a significant challenge for traditional B2B marketing measurement. A buyer’s journey might involve encountering research in an AI summary, hearing a podcast guest reference it, seeing an influencer post about it, and then landing on the company website via branded search, with no clear attribution for the initial touchpoint.
Unified measurement, which connects brand engagement, demand signals, and revenue outcomes, is essential. This needs to incorporate visibility within answer engines as a tracked metric alongside organic rankings. Difficulty in measurement is cited by 41% of marketers as the primary reason for underperforming content, making this a critical differentiator for those who can effectively address it.
A Strategic Starting Point for Dual Audience Engagement
To begin leveraging this dual audience opportunity, marketers are advised to identify a persistent question within their buyer’s journey that remains unanswered by category competitors with verifiable data. The next step involves designing a focused piece of primary research to address this question. Subsequently, engaging five credible voices to interpret and validate the findings before publication is recommended. This core insight can then serve as the foundation for developing various content formats over the subsequent two quarters.
This systematic approach allows a brand to transition from competing for attention to becoming the definitive answer. Original research grants a brand the authority to establish a point of view. Credible voices lend believability to that perspective. Consistent, multi-format publishing ensures discoverability across all channels where buyers and their AI assistants are actively searching.
The fundamental question for every B2B brand is: "What question can our team answer with original data that no one else in our market can?" The answer to this inquiry forms the genesis of a robust "best answer marketing" strategy, capable of resonating with both human decision-makers and the increasingly influential AI engines of 2026 and beyond.
