How to build trust when buyers question everything

I was researching a software platform recently when I found myself doing something I don’t remember doing nearly as often as a few years ago: questioning almost everything I was reading.

The vendor content was polished, the reviews were positive, the LinkedIn posts sounded thoughtful, and ChatGPT provided a clear summary. Yet the more I read, the more questions I had.

Who actually wrote this? Is this based on real experience? Did the author use the product? Is this an original perspective or a repackaged version of something I’ve already seen three times this week? 

I don’t think I’m alone. Buyers have access to more content, reviews, recommendations, and opinions than ever before. They can research vendors, compare products, and gather information faster than at any point in the past. At the same time, many are becoming more selective about what they trust and where they get their information.

AI accelerated that shift, but content saturation, manipulated reviews, recycled opinions, and formulaic thought leadership created skepticism long before generative AI arrived.

Every piece of content now faces a higher burden of proof. Marketers who understand how buyers evaluate credibility are better positioned to earn trust in an increasingly skeptical market.

Content became abundant, credibility became valuable

For years, marketers were rewarded for publishing more content. Consistent publishing helped brands build visibility, attract traffic, and influence buyers throughout the purchasing process.

That approach worked because the content itself created differentiation. Producing useful articles, guides, emails, and other resources required significant time and effort, creating a natural barrier to entry.

AI accelerated content production dramatically. Today, even small teams can create, repurpose, and distribute content at a scale that required significantly more resources only a few years ago.

As the volume of content increased, buyers gained access to more information than they could realistically consume. Faced with dozens of articles covering similar topics, they began looking for additional signals to help determine what deserved their attention and trust.

Many now evaluate content through questions such as:

• Experience: Has someone actually done this?
• Specificity: Are there details that support the claim?
• Originality: Does this contribute something new?
• Transparency: Can I understand how the conclusion was reached?

These signals help people assess credibility when multiple sources appear equally relevant on the surface.

Today, success depends on more than showing up in search results, social feeds, or AI-generated answers. Buyers increasingly gravitate toward content that demonstrates expertise, provides evidence, and reflects firsthand experience.

Buyers are asking different questions

Content remains a central part of the buying process. Prospects read articles, compare vendors, browse reviews, watch videos, ask peers for recommendations, and increasingly use AI tools to accelerate research.

Access to information is rarely the challenge anymore. What’s changed is how buyers evaluate the information they find.

Most buyers can find dozens of articles, reviews, recommendations, and AI-generated summaries on almost any topic within minutes. Determining which sources are credible often requires more effort.

As a result, many buyers evaluate content through questions such as:

• Who created this?
• What experience supports this perspective?
• Is this based on original information?
• Can I trace this advice back to real-world results?
• Does this offer a unique perspective or repeat what everyone else is saying?

Those filters show up throughout the buying process

The same credibility questions appear across nearly every channel buyers use during research.

• Search results: Strong rankings may drive traffic, but readers still look for signs that the author understands the topic beyond the surface.
• Reviews: Specific details about implementation, outcomes, and challenges often carry more weight than broad praise.
• LinkedIn: Firsthand observations and lessons learned tend to attract more engagement than generic commentary.
• Vendor content: Customer stories, supporting data, implementation details, and practical examples help recommendations feel more credible.

The result is a buying process where credibility is evaluated continuously rather than assumed based on visibility alone.

Thought leadership needs a reset

Many thought leadership programs are highly polished and increasingly interchangeable.

Read enough articles about AI, personalization, attribution, customer experience, or content strategy, and familiar patterns emerge. Similar predictions appear in multiple publications, followed by recommendations that often reach the same conclusion.

Many organizations have practitioners, consultants, operators, and subject matter experts with valuable insights. Too often, those perspectives get filtered through summaries, trend reports, and commentary that remove much of what made the original experience valuable.

Professionals evaluating solutions want insight from people who implemented the strategy, managed the project, solved the problem, or experienced the outcome firsthand.

That’s one reason implementation lessons carry more weight than predictions.

The strongest thought leadership often answers questions such as:

• What worked?
• What failed?
• What surprised you?
• What changed your mind?
• What would you do differently today?

These questions reveal expertise because they come from execution rather than observation.

Thought leadership is shifting from “Here’s what I think” to “Here’s what I’ve learned.”

That shift may be one of the most important changes in content marketing today.

What still earns trust

Trust is harder to earn today, but several signals continue to stand out for helping people evaluate whether information is credible.

Specific experiences create confidence

Broad claims rarely give readers enough information to evaluate expertise. Consider the difference between these statements:

• Generic claim: “We help customers improve onboarding efficiency.”
• Specific experience: “We reduced onboarding time by 38% after redesigning our implementation process and eliminating three manual approval steps.”

The second statement provides evidence. Readers can evaluate the result, understand what changed, and decide whether the experience is relevant to their situation. Look for opportunities to include:

• Metrics and outcomes.
• Implementation details.
• Lessons learned.
• Process changes.
• Unexpected findings.

Specificity gives readers more confidence that the recommendation comes from experience rather than general marketing language.

Real people carry more weight than anonymous brands

Many buyers want to understand who is behind the advice they’re reading.

Subject matter experts, practitioners, operators, founders, and customers bring context that’s difficult to capture through brand messaging alone. They can explain what happened during implementation, where challenges emerged, what decisions shaped the outcome, and what they learned along the way.

Content becomes more credible when those voices are part of the process. Consider:

• Interviewing the consultant who led the project.
• Featuring the customer who achieved the outcome.
• Asking practitioners what surprised them during execution.
• Documenting lessons learned after implementation.

These conversations often surface the details readers care about most: what happened, what changed, what didn’t go according to plan, and what insights emerged from the experience.

Those details help transform generic advice into practical guidance grounded in real-world execution.

Original information stands out

Much of today’s content is built from information that already exists.

Original information gives audiences a reason to pay attention because it contributes something new to the conversation. Valuable sources of original information include:

• Customer surveys.
• Proprietary research.
• Benchmark reports.
• Product usage trends.
• Customer success insights.
• Internal observations.

A benchmark report based on customer data often provides more value than an article summarizing industry trends because it contributes original findings to the conversation.

Original research also creates a foundation for future content. One survey or benchmark project can support articles, webinars, sales conversations, social content, and enablement materials for months while giving audiences access to insights grounded in actual customer behavior.

The most effective research doesn’t simply generate content. It helps organizations contribute information that others can reference, cite, and learn from.

4 ways to build trust in a skeptical market

Trust grows when audiences repeatedly encounter evidence of expertise, experience, and transparency. Marketers who want to strengthen credibility should focus on demonstrating those qualities throughout their content rather than simply claiming them.

1. Put experts back into the content process

Many content programs are more efficient, but that efficiency sometimes comes at the expense of direct access to the people doing the work.

Subject matter experts often have insights that never make it into published content because interviews focus on best practices instead of real-world experience. Ask questions such as:

• What surprised you?
• What failed?
• What would you do differently?
• What patterns do you see repeatedly?
• What advice do you disagree with?
• What mistake do people make most often?

These questions often surface the details readers care about most: what happened during implementation, where challenges emerged, what changed along the way, and what lessons came out of the experience.

Those details often become the most compelling parts of a case study, article, webinar, or customer story because they help readers apply the lesson to their own situation.

2. Publish information competitors don’t have

Original information remains one of the most effective ways to establish credibility. Start with information your organization already has access to:

• Customer data.
• Survey responses.
• Product usage trends.
• Support conversations.
• Onboarding insights.
• Implementation observations.

Even a small research initiative can create valuable content. A customer survey, for example, can support a benchmark report, blog articles, webinar topics, sales enablement materials, and social content while contributing new information to the market.

3. Explain how you reached your conclusions

Readers are more likely to trust recommendations when they understand the reasoning behind them. Whenever possible:

• Cite sources.
• Explain methodology.
• Share sample sizes.
• Add context around data.
• Acknowledge limitations.

Transparency allows readers to evaluate the evidence for themselves, which often strengthens credibility more effectively than broad claims about expertise.

4. Develop a recognizable point of view

Strong points of view help audiences understand how your organization thinks about a problem.

Share lessons learned from experience. Discuss tradeoffs. Explain why your team favors one approach over another. Take positions when evidence supports them.

Many organizations worry that strong perspectives will narrow their audience. A greater risk is producing content that sounds indistinguishable from everything else in the market.

Distinct perspectives rooted in experience help readers understand what makes your expertise valuable and why your recommendations deserve consideration.

Trust may become marketing’s most important asset

Buyers are more selective about what they believe and who they trust.

The marketers who stand out consistently demonstrate expertise, contribute original insights, and give audiences confidence in the information they share.

Trust takes time to earn, which is precisely what makes it valuable.

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