The Trust Gap in B2B Buying Is Wider Than You Think
Every few years, a data point surfaces that reframes how marketers think about their jobs. The latest one is not subtle. When 1,200 U.S. business decision-makers were asked which information sources they trust when evaluating purchases, peer recommendations ranked first — and AI chatbots ranked near the bottom. The gap between the two was not close.
Seventy-three percent of B2B buyers said they trust peer recommendations during the purchasing process. AI chatbots? Thirty-nine percent. That is a 34-percentage-point divide between what buyers trust most and what much of the marketing technology industry has spent the last two years promoting as the future of buyer engagement.
This finding comes from “The Hidden B2B Journey,” a joint research report published by Reddit and SurveyMonkey in early 2026, covering responses from 1,200 U.S. business decision-makers across industries. The report’s title itself signals the central problem: the B2B buying journey is largely invisible to sellers because most of it happens before a buyer ever contacts a vendor.
Understanding where trust lives, what information buyers rely on, and why AI tools currently fail to satisfy their needs is not optional context for B2B marketers. It is the foundation of every content, SEO, demand generation, and sales strategy that will actually work in 2026 and beyond.
The Full Trust Hierarchy: Where B2B Buyers Actually Turn
The Reddit and SurveyMonkey study did not just ask about AI chatbots. It asked buyers to rank every major information source they use during the evaluation process. The results build a clear hierarchy:
Peer recommendations: 73% Vendor websites: 55% Search engines: 54% Review sites: 46% AI chatbots: 39% Social media: 36%
Reading that list from top to bottom tells a straightforward story. Buyers trust people they know or whose experiences they can verify. They accept vendor websites and search results as useful, but not without skepticism. They apply meaningful scrutiny to review sites. And they approach AI chatbots and social media with the most caution of any channel available to them.
The positioning of vendor websites at 55% is also instructive. More than four in ten buyers do not fully trust what a vendor publishes on their own website — a finding that aligns with separate research showing that 55% of B2B buyers say their biggest frustration during self-directed research is knowing which information sources to trust.
Procurement professionals are now more involved earlier in the cycle than ever before. According to Forrester’s 2026 buyer research, procurement now serves as a decision-maker more than half the time — 53% — in the average business buying cycle. This is a professional class trained to verify claims independently, consult multiple sources, and treat marketing materials with a structured level of doubt.
That context makes the peer trust finding even more significant. When the people doing the buying are trained skeptics, the only thing that penetrates that skepticism is the verified experience of someone who has already been where they are.
Why AI Chatbots Are Failing B2B Buyers Right Now
The 39% trust rating for AI chatbots requires context to be properly understood. This is not a blanket rejection of artificial intelligence — the same buyers surveyed are using AI tools extensively in other parts of their work lives. The issue is more specific than that.
Only 18% of the respondents in the Hidden B2B Journey report said they use chatbots at all during B2B research. Among that minority who do use them, the problems are practical and concrete. Forty-one percent cited inaccurate information as their top challenge with AI chatbots during research. Forty percent cited conflicting information — meaning the tool gave them answers that contradicted other sources or even contradicted itself across sessions.
These are not perception problems. They are reliability problems. When a buyer is evaluating a software platform that will cost their company hundreds of thousands of dollars, or a professional services firm that will be embedded in their operations for years, they cannot afford to act on information they cannot verify. AI chatbots, as currently experienced by most users, do not provide traceable sourcing in a form that satisfies professional due diligence.
Forrester’s 2026 research adds important nuance here. Almost all business buyers — 94% — report using AI at some point in their buying process. But using AI and trusting AI are not the same thing. The Forrester data shows that buyers compensate for AI’s limitations by seeking validation from trusted sources: peers, product experts, industry analysts, and others within their professional networks. AI functions as a starting point, not a decision-making authority.
This is the pattern that B2B marketers need to internalize. AI accelerates discovery. It does not replace the trust infrastructure that actually closes deals.
The McKinsey 2025 State of AI survey reinforces this distinction. Organizations are extracting real value from AI tools, but adoption in high-stakes contexts — like B2B vendor evaluation — requires a higher bar of verification than AI currently clears for most buyers. The 35% of marketers who cite accuracy concerns as their primary reason for not fully adopting generative AI in their own workflows are experiencing the same skepticism from the buyer side.
The Self-Directed B2B Buyer: What “Hidden” Really Means
The word “hidden” in the report title refers to the portion of the B2B buying journey that vendors never see, because it happens entirely without them.
Eighty-three percent of B2B buyers in the Hidden B2B Journey study said they research on their own before ever speaking to a sales team. That figure is reinforced by data from multiple independent sources. According to the 6sense 2025 B2B Buyer Experience Report, by the time a buyer makes first contact with a salesperson, they have already completed approximately 61% of their buying journey. The same research found that 83% of buyers define their purchase requirements before engaging a sales representative, and that the first-choice vendor on a buyer’s initial shortlist wins the deal roughly 80% of the time.
The logical implication is clear: if you are not visible and trusted before a buyer reaches out, you have likely already lost.
Most of that 83% who research independently are not wandering through the internet passively. They are engaged in structured, goal-oriented information gathering — consulting peers, reading community forums, studying user reviews, watching product demonstrations. Gartner’s March 2026 survey found that 67% of B2B buyers prefer a rep-free buying experience, preferring to carry out independent research through digital channels over interacting with a sales representative.
Speed also varies by deal type. The Hidden B2B Journey report found that 65% of buyers complete their research in a week or less — a fast-moving timeline that means most of their trust signals are established long before any vendor has a chance to influence them directly. But 31% spend several weeks or more in research mode, particularly in software, professional services, and HR — categories where the cost of a wrong decision is highest.
The combination of self-direction and speed means that the content a buyer encounters in the early stages of research is disproportionately influential. What they read in week one — before speaking to anyone at your company — shapes the shortlist they build by the end of that same week.
What Content B2B Buyers Actually Find Valuable
The Hidden B2B Journey report did not just document what buyers trust. It asked them directly which types of content they find most valuable during the research process. The results should prompt a serious reconsideration of how most B2B content budgets are allocated.
Real-user testimonials: 37% say “very valuable” Video demos: 32% Community discussions: 27% Analyst reports: 27% White papers and one-sheets: 17%
The top three content formats share a common characteristic: they involve people who are not the vendor, describing real experiences or conducting live demonstrations. Testimonials capture what happened to a real customer. Video demos show the product in motion, letting buyers see what they would actually be working with. Community discussions preserve the unedited, multi-directional exchange of opinion and experience that happens when practitioners talk to each other without a marketing filter.
The 17% figure for white papers and one-sheets deserves careful attention. This is a format that has anchored B2B content marketing for decades. The association of white papers with credibility and expertise was once reliable enough to justify entire lead generation programs built around gated document downloads. That association has eroded.
A separate study of 797 B2B leaders by TopRank Marketing and Ascend2 found that original research drives stronger engagement and trust than standard thought leadership formats. The distinction matters: original research means new data that did not previously exist, presented in a form that gives buyers something they cannot get elsewhere. A white paper that synthesizes existing knowledge, by contrast, does not provide the kind of first-hand evidence buyers are now demanding.
The shift is not that buyers have stopped reading long-form content. It is that they have raised the bar for what that content must deliver. Polished packaging is no longer a substitute for genuine insight derived from real experience.
The Problem With Vendor-Controlled Content
The vendor content problem runs deeper than format preference. When 55% of buyers say their biggest frustration during self-directed research is knowing which information sources to trust, and 46% say filtering through vendor content is a major complaint, they are describing a structural credibility problem — not a messaging problem.
Vendor-controlled content, by definition, exists to present the vendor favorably. Buyers know this. The mental discount they apply to vendor claims is built-in and rational. No amount of clever framing or polished design eliminates the inherent conflict of interest baked into content produced by the party that benefits from a sale.
This is precisely why peer recommendations command such a significant trust premium. A peer has no financial stake in which vendor the buyer chooses. Their account of experience is more likely to include the things that went wrong, the support interactions that were frustrating, and the limitations that emerged after the initial deployment — exactly the information that determines whether a purchase decision holds up over time.
The 48% of buyers who say finding real user testimonials is a major frustration during research are telling vendors something directly actionable: they are actively looking for peer voices, and they are not finding them easily enough. This is not a demand problem. It is a supply problem.
Community Platforms and the Real B2B Research Environment
Understanding where peer recommendations actually come from in 2026 requires looking at the environments in which B2B buyers spend their research time. The Reddit/SurveyMonkey report was commissioned with a clear commercial interest on Reddit’s part — they operate a platform that hosts exactly the kind of community discussion and peer exchange that buyers report valuing. That context does not invalidate the findings, but it should be part of how marketers interpret them.
What the research establishes clearly is that community environments — places where practitioners discuss tools, vendors, challenges, and outcomes without a promotional agenda — function as a primary trust layer in B2B research. That can mean Slack communities, professional associations, LinkedIn peer groups, industry forums, or general-interest communities where professional topics arise organically.
Forrester’s 2026 buyer data shows that on average, 13 internal stakeholders and nine external participants influence buying decisions. For purchases involving generative AI features, the buying group size doubles — 14 members compared to seven for non-AI purchases. That is a large network of people who all need to develop their own trust in a vendor before a deal closes. Each of those people is conducting their own information gathering, and many of them are turning to communities where they already have relationships.
B2B marketers who engage authentically in the communities where their buyers live — not broadcasting, but contributing, answering questions, sharing experience — are doing something that vendor content on its own cannot replicate. Presence in peer environments is the closest thing a vendor can get to being a peer.
The White Paper Is Not Dead, But It Has a Diminished Role
To be precise about what the data says: white papers ranked last among the content formats buyers describe as very valuable, at 17%. That does not mean zero buyers find them useful. It means that among the range of content types available, polished long-form documents are the least likely to be cited as a significant influence on a buying decision.
The most defensible use case for white papers in the current environment is when they contain original research — data that could not be found elsewhere — or highly specific technical detail that a buyer needs for due diligence. In those cases, the white paper is doing something that other formats cannot. It is providing structured, citable information that a buyer can use to make a case internally or to verify a specific claim.
The broader lesson is about the principle behind the format rather than the format itself. The principle is: does this content contain something a buyer could not get anywhere else? If the answer is yes, the format is largely secondary. If the answer is no, even an elegantly produced document has a limited trust ceiling.
Original research — data that only you have gathered, from sources only you have accessed — is one of the most defensible types of B2B content investment available. A TopRank and Ascend2 study of 797 B2B leaders confirmed that original research drives stronger engagement and trust than standard thought leadership. There are reasons for this beyond novelty: original data is citable, shareable, and independently useful to the buyer’s own work, which creates an entirely different kind of engagement than content that simply describes what a vendor believes.
What This Means for B2B Marketing Teams Right Now
The data from the Hidden B2B Journey report, combined with supporting research from Forrester, Gartner, 6sense, and others, points toward a set of practical implications that apply across content strategy, demand generation, SEO, and sales alignment.
1. Peer amplification is a core marketing function, not a PR bonus. If 73% of buyers trust peer recommendations and only 18% use AI chatbots during research, then making it easy for customers to talk about their experiences — in formats buyers can find and evaluate — is marketing work, not relationship management. Customer advisory boards, user communities, review site programs, and case study development are not secondary priorities. They are primary trust infrastructure.
2. Content strategy must start from buyer frustrations, not product features. The finding that 55% of buyers struggle to identify trustworthy information during research is a strategic gap that content teams can close. Building content that explicitly addresses the verification burden — comparative analysis, third-party data synthesis, transparent discussion of product limitations — positions a brand as a source of honest information rather than promotional material. That positioning is worth more than any feature-focused content campaign.
3. Video is underinvested relative to its trust value. With 32% of buyers rating video demos as very valuable — the second highest in the content rankings — and separate data showing that 91% of businesses now use video as a marketing tool while 93% of video marketers report positive ROI, the investment case for high-quality product demonstration video is clear. The more specific the demo and the more directly it addresses buyers’ actual use cases, the more trust it builds.
4. The first week of buyer research is the most important period you cannot see. Because 65% of buyers complete their research in a week or less, and because they begin most of that research before any vendor contact, the SEO and content visibility of a brand at the start of a research journey determines whether the brand makes the shortlist. Brands that are not visible in the organic channels buyers use during independent research — including search engines, community forums, and review sites — are invisible at the moment of maximum influence.
5. The buying committee requires a multi-voice content strategy. When the average B2B buying decision involves 10 or more decision-maker functions, and Forrester finds that some AI-related purchases involve committees of 14 people, content designed for a single buyer persona is structurally insufficient. Each member of the buying committee is searching for information relevant to their role, their concerns, and their accountability. Financial stakeholders need ROI evidence. Technical stakeholders need integration specifics. Operational stakeholders need implementation timelines. A content strategy that addresses only one of these audiences will fail to build trust across the committee.
Building a Trust-Led B2B Content Strategy: A Practical Framework
Given everything the data establishes, a trust-led B2B content strategy in 2026 has a recognizable shape. It is not about abandoning tactics that have worked historically. It is about reweighting investment toward the formats and channels that actually move buyers, and away from those that buyers report finding the least valuable.
Layer one: Peer evidence at scale. This means systematic collection and publication of customer experiences in a form that buyers can find and trust. It includes formal case studies with specific, quantified outcomes; video testimonials featuring named customers describing real challenges and results; and active participation in third-party review platforms. It also means building the internal processes that make it easy for customers to share their experiences — which is harder than it sounds, because the friction in most customer advocacy programs falls on the customer.
Layer two: Community presence without promotional packaging. Whether through LinkedIn, industry Slack groups, professional associations, or topic-specific forums, brands that engage in community spaces as contributors rather than advertisers build a different kind of credibility. This does not scale the way content distribution scales, and it requires people with actual expertise who can have genuine peer-level conversations. But it builds the kind of trust that peer recommendations are made of.
Layer three: Original research and first-party data. Producing research that buyers cannot get anywhere else — surveying your own customer base, analyzing usage patterns, publishing industry benchmarks — creates content assets that have both SEO value and genuine informational value to buyers. They become citable, shareable, and durable in a way that most content is not.
Layer four: Frictionless verification pathways. If buyers are frustrated by not knowing which sources to trust, content that makes verification easy is actively solving their problem. This means citing sources, linking to third-party data, being explicit about methodology, and presenting limitations alongside strengths. Buyers who can verify claims independently do not just trust the specific claim — they develop trust in the organization that made it easy to check.
Layer five: SEO alignment with the full research path. The early-stage research phase — before any buyer contacts a vendor — is conducted largely through search engines, which 54% of buyers said they trust. Organic visibility for the questions buyers ask before they know what vendor they want to engage is the foundation of being included on that first-week shortlist. Long-tail queries — specific, high-intent questions about problems, comparisons, and use cases — account for 91.8% of all B2B search queries, and they are the exact formats buyers use during self-directed research.
AI’s Legitimate Role in the B2B Buying Process
None of the trust data should be read as a conclusion that AI has no place in B2B marketing or that buyers are rejecting AI wholesale. The nuance matters.
Ninety-four percent of business buyers use AI at some point during their buying process, according to Forrester. What the Hidden B2B Journey report establishes is that the role AI plays is constrained — buyers use it to accelerate research and generate initial orientation, and then they validate what they find against sources they trust more. AI is a starting point and an efficiency tool. It is not the final authority on vendor credibility.
For marketers, this creates a specific kind of SEO and content challenge: ensuring that the AI tools buyers use reflect accurate, current information about your brand. When a buyer asks ChatGPT or Perplexity about vendors in your category, the quality of your presence in the sources those tools draw from determines how accurately and favorably you appear. That means the same investments that serve SEO — authoritative content, third-party validation, presence in the publications LLMs are trained on — also determine AI visibility.
Separately, 90% of buyers who see a citation in a Google AI Overview click through to at least one cited source. Being cited in AI Overviews, and ensuring that citation links to credible, helpful content, is now part of both organic search strategy and AI brand management.
The Implications for B2B SEO in a Trust-First Environment
Search engine optimization for B2B has always been about visibility at the moment of buyer intent. What has changed is the context in which that visibility must operate.
Buyers who arrive at your content through organic search are already doing independent research. They are not responding to outbound outreach. They are actively seeking information. The trust bar for content they encounter in that moment is high — they have already filtered out sources that felt obviously promotional, and they are evaluating what they read with the skepticism that the Hidden B2B Journey report quantifies.
This changes what effective B2B SEO content looks like. Content built purely for search volume, without substantive informational value, will generate traffic but not trust. Content that is visibly rigorous — citing data, acknowledging complexity, addressing counterarguments — earns the trust premium that moves buyers from reader to prospect.
The SEO Works’ 2026 B2B buyer behavior research confirms that B2B companies with active, optimized blogs generate 97% more leads than those without, and that SEO delivers a 748% ROI for B2B companies — the highest-performing marketing channel available. That return is real, but it depends on content that buyers actually trust, not just content that ranks.
The first organic result on a B2B search page receives an average click-through rate of 27.6%. Getting to that position matters. Staying there — and converting that traffic into trust — requires content that earns the sustained engagement and link authority that search algorithms reward.
What B2B Sales Teams Need to Know
The data in the Hidden B2B Journey report is not only a marketing challenge. It is a sales strategy challenge, and the implications for how sales teams engage with buyers are just as significant.
If 83% of buyers have already defined their requirements before speaking to sales, and the first-choice vendor on a buyer’s shortlist wins roughly 80% of the time, then a sales conversation that attempts to reshape a buyer’s requirements is working against the data. The productive work of B2B sales, in this environment, is not to introduce buyers to a category — it is to confirm and reinforce the trust that marketing and peer evidence have already established.
That means sales teams need access to the same information that buyers are using during their self-directed research phase: the peer conversations happening on review platforms, the community discussions about product performance, the questions buyers are asking of AI tools before they make first contact. Sales teams that understand the research path buyers have already traveled can have much more relevant conversations than those who treat every first conversation as a clean slate.
Sixty-seven percent of B2B buyers prefer a rep-free experience, according to Gartner’s March 2026 survey. That preference does not mean buyers never want to talk to a salesperson. It means they want to choose when that conversation happens, on their terms, after they have done their own work. Sales processes that honor that preference — that provide value through conversation rather than through pressure — convert at higher rates with buyers who arrived with established trust.
Frequently Asked Questions
What does “B2B buyers trust peers over AI chatbots” actually mean in practice?
It means that when business decision-makers are evaluating a purchase, the opinion of a colleague, industry contact, or verified user carries significantly more weight than the output of an AI chatbot. According to the Hidden B2B Journey report from Reddit and SurveyMonkey — which surveyed 1,200 U.S. business decision-makers — 73% trust peer recommendations compared to 39% who trust AI chatbots. In practice, this means that word-of-mouth referrals, peer reviews, community forum discussions, and direct conversations with people who have already used a product are more likely to influence a purchase decision than any AI-generated research summary.
Why don’t B2B buyers trust AI chatbots more for research?
Among buyers who do use AI chatbots during research — only 18% of respondents — the two most commonly cited problems are inaccurate information (41%) and conflicting information (40%). Business purchases involve significant financial commitment and organizational risk. Buyers apply a high standard of verification, and AI tools currently do not provide the traceable, independently verifiable sourcing that professional due diligence requires. This is not a categorical rejection of AI — 94% of business buyers use AI at some point in their process — but rather a practical recognition that AI output requires validation before it can inform high-stakes decisions.
What content formats do B2B buyers find most valuable?
According to the Hidden B2B Journey report, real-user testimonials are rated “very valuable” by 37% of buyers — the highest of any format. Video demos follow at 32%. Community discussions and analyst reports both scored 27%. White papers and one-sheets ranked last at 17%. The common thread among the higher-ranked formats is that they all involve real experience or live demonstration rather than vendor-controlled narrative.
Is the white paper dead as a B2B marketing tool?
Not entirely, but its role has shifted significantly. White papers that contain original research — data that does not exist elsewhere — or highly specific technical detail still serve a legitimate purpose in due diligence. The decline is most pronounced for white papers that synthesize existing knowledge without adding new information. When only 17% of buyers rate them as very valuable, the investment case for generic long-form documents is weak compared to testimonials, demos, and community content.
What percentage of B2B buyers research independently before talking to a vendor?
Eighty-three percent of B2B buyers conduct research on their own before ever speaking to a sales team, according to the Hidden B2B Journey report. This is consistent with data from 6sense, which found that buyers have typically completed 61% of their buying journey before first contacting a salesperson, and from Gartner, which found that 67% of buyers prefer a rep-free buying experience. The critical implication is that a vendor’s visibility and credibility in the channels buyers use during independent research determines whether they make the shortlist — often before any direct engagement.
How long does the average B2B research phase take?
The Hidden B2B Journey report found that 65% of buyers complete their research in a week or less. However, 31% spend several weeks or more, particularly for purchases in software, professional services, and HR — categories where implementation complexity and ongoing commitment justify more extended evaluation. This bimodal distribution suggests that content strategy needs to serve both fast-moving buyers who need immediate evidence and slower-moving buyers who are building a detailed case over time.
What is the biggest frustration B2B buyers face during research?
Fifty-five percent of respondents cited knowing which information sources to trust as their biggest frustration during self-directed research. Finding real user testimonials was cited by 48% of buyers, and filtering through vendor content by 46%. These three frustrations are interconnected: buyers want unfiltered peer experience, they struggle to find it, and they are frustrated by the volume of vendor-produced material that surrounds it.
How should B2B marketers respond to the peer trust finding?
The core strategic implication is that systematic peer evidence collection and amplification — customer case studies, testimonials, review platform presence, user community development — should be treated as primary marketing infrastructure rather than supplementary content. Making it easy for satisfied customers to share their experiences in formats buyers can find and trust is more valuable than most forms of vendor-produced content. Beyond formal customer advocacy programs, brands that engage authentically in the communities where their buyers gather build the kind of credibility that peer recommendations are derived from.
Does this data mean B2B companies should stop using AI in their marketing?
No. The data addresses buyer trust during the purchase research phase, not the operational use of AI in marketing production. B2B marketers are using AI extensively — 56% cite AI-powered automation as a high budget priority — and that adoption is delivering real efficiency gains. The relevant point for content strategy is that AI-generated content, without substantive human input and original insight, faces the same trust ceiling from buyers that AI chatbots face during research. Buyers evaluate content credibility based on the evidence and experience it contains, not the technology used to produce it.
What does this data mean for B2B SEO and content visibility?
The 54% of buyers who trust search engines during research — combined with the 90% who click through to sources cited in AI Overviews — make organic search visibility a critical component of the trust infrastructure. Being visible in organic search for the questions buyers ask during independent research is how brands get on the shortlist before the sales team is ever contacted. Long-tail keywords account for 91.8% of B2B search queries, and they are the format buyers use when searching for specific, high-intent information. Content that answers those questions with real data, original insight, and verifiable sourcing serves both search visibility and buyer trust.
How does the buying committee size affect trust-building strategy?
Forrester’s 2026 buyer research found that an average of 13 internal stakeholders and nine external participants influence B2B buying decisions — and that number doubles for purchases involving generative AI features. With 10 or more decision-making functions involved, a content strategy designed for a single buyer persona cannot build trust across the full committee. Different functions need different evidence: financial stakeholders need ROI data, technical stakeholders need integration specifics, operational stakeholders need implementation and support information. A trust-led content strategy must address the full committee, not just the primary contact.
How does the trust gap between peers and AI chatbots compare to other industries?
The IAB and Talk Shoppe research found similar verification behavior in consumer shopping contexts — limited trust in AI shopping recommendations, with shoppers actively checking AI-generated suggestions against other sources. This suggests the trust dynamic identified in the B2B report is not unique to business purchasing, but it is amplified in B2B contexts by higher stakes, longer evaluation cycles, and more professional scrutiny. LinkedIn’s B2B Marketing Benchmark found that 94% of senior marketers consider trust the primary driver of B2B success — and that consensus appears to be well-founded by what buyers themselves report.
The numbers in the Hidden B2B Journey report do not describe a temporary anomaly caused by AI immaturity. They describe a durable structural characteristic of how human beings evaluate high-stakes decisions: by consulting people whose experiences they can independently assess. AI tools are part of the modern research process, but they occupy a specific, bounded role. The buyers who will make the purchase decisions that matter to your business are spending their first week of research talking to peers, reading verified user accounts, watching real product demos, and consulting the communities where practitioners share honest experience. The most important question for B2B marketers is not whether to invest in trust-building. It is whether the trust infrastructure you have built is visible, credible, and accessible at the moment those buyers are looking.
About ALM Corp
ALM Corp is a B2B growth and digital marketing consultancy that helps organizations build the kind of trust infrastructure the data in this report describes. In an environment where 73% of B2B buyers make decisions based on peer recommendations, and 83% complete the majority of their research before ever speaking to a sales team, the brands that win are those that have invested in genuine credibility — through original research, authentic customer evidence, community presence, and organic search visibility that answers the questions buyers are actually asking.
ALM Corp works with B2B companies to develop content strategies grounded in buyer behavior data, build SEO programs that deliver visibility at the exact moments of self-directed research, and create the peer evidence assets — case studies, testimonials, video demos — that the Hidden B2B Journey report identifies as the most trusted content formats available. If your current content investment is weighted toward white papers, vendor-controlled assets, and AI-generated volume content, the data suggests a reallocation is overdue. ALM Corp can help you make that shift with a strategy rooted in what buyers actually trust, not what the technology industry has been telling you to build.
