By Steve Oriola, CEO of Unbounce Go-to-Market Solutions

Trust and transparency are now non-negotiable revenue drivers in B2B, and AI search is accelerating that shift. 

For years, marketers and sellers have held back information that might dissuade buyers. Feature gaps aren’t mentioned and pricing is hidden. Audience fit is vague, with competitor comparisons appearing biased. 

Everything was designed to push as many buyers into the funnel as possible, even if they were never likely to buy. 

That approach wastes everyone’s time. Sellers spend time working deals that were never a fit. Buyers sit through multiple meetings only to uncover deal breakers that could have been shared upfront. 

But buyers no longer have to go through your sales process to get answers. 

They’re using AI search to qualify vendors before they ever talk to sales, asking the questions brands don’t always answer upfront. AI search tools can synthesize information from forums, review sites, comparison pages, and social media. If there’s a conversation happening about your product, your buyer can find it. 

Informed buyers can see through biased content

Not disclosing information or publishing biased comparison content gives buyers more reasons to bounce, trust you less, and find answers elsewhere.

Visibility is no longer just about which page wins the most traffic. It’s about which messages are credible, consistent, and aligned with what buyers actually need to make a decision: unbiased, helpful information they can trust and that stands up to scrutiny when checked against other sources. 

Imagine if your CEO asked you to evaluate two competing software options and you brought them an overtly biased page from one of the vendors. If your CEO had experience using the other solution, the gaps would surface quickly and your credibility would take a hit. 

That’s exactly what happens when you put a biased comparison page in front of a savvy, sophisticated buyer who has already done their research. 

AI is forcing transparency because it combines information from multiple sources incredibly accessible. B2B marketers now need to provide the most helpful and trustworthy answers if they want to earn the click and everything that comes after it. 

Trust and transparency are becoming core revenue drivers from first click to close.  

The old B2B content playbook is breaking down

From competitor comparison pages that subtly favor one vendor, to lead-generation landing pages and AI-generated listicles that often rank the same products at the top, buyers are increasingly learning to approach online content with a healthy dose of skepticism.

These tactics were built to drive traffic and control the narrative, not to help buyers make better decisions. They’ve been around for years, but they’re starting to hurt more than they help.

Buyers notice when competitor content conflicts with what customers and other reputable sources are saying. They bounce when a search ad sends them to a page that doesn’t match the intent behind their query. They lose trust when “best of” lists are really self-promotion dressed up as research.

A lot of people are talking about AI slop, but not enough people are talking about how AI is also exposing the weaknesses in content that was never particularly useful to begin with. 

Google has been picking up on these signals and putting technology in place to prevent unhelpful content from being surfaced. This is because Google is in a heated competition too, fighting against results surfaced by conversational AI platforms like ChatGPT and Claude.

AI is accelerating that shift, but Google was already moving in this direction.

In the past eighteen months, Google has: 

• Implemented a new ad quality prediction model which stops serving ads that drive traffic to pages that aren’t aligned with search intent, and don’t allow buyers to pursue next steps through navigation, like the option to login. 

• Refined its reviews system to detect and suppress self-promotional “best” listicles and head-to-head comparison pages that are written to prioritize search visibility over transparent, evidence-backed evaluation. 

If your content isn’t helpful or trustworthy, Google has less reason to serve it.

That means biased, low-value content is no longer a growth strategy. It’s a liability.

How AI is influencing buyer decision-making 

Buyers no longer have to rely on branded content to understand a product, compare vendors, or define their shortlist.

AI-assisted research makes it easy for buyers to compare claims, validate concerns, and decide which vendors are worth considering before they ever talk to sales. Google AI Overviews now reach more than 2.5 billion monthly users, which shows how quickly AI is becoming part of the way buyers make decisions.

This creates a problem for the old B2B content playbook.

For years, that playbook was written to win rankings and control comparisons, often by prioritizing volume and bias over helpful information and content quality. But B2B buyers are too sophisticated for that. They have years of experience using software to do their jobs, highly scrutinized budgets, and buying committees to convince. They’re not looking for the loudest vendor. They’re looking for the clearest, most credible answer.

Old tactics tried to trap buyers into a purchase. In B2B, they mostly bring in unqualified buyers, break trust, and waste time on both sides.

That approach doesn’t hold up when software decisions are expensive, scrutinized, and made by committee. G2’s 2025 Buyer BehaviorReport found that 20% of companies with 250 to 1,000 employees spent an average of $100,000 to $149,000 on a software deal. The same report found that 28% of companies of the same size had five to eight people involved in software purchase decisions, and the majority of companies, 38%, shortlisted two to three vendors.

Where those shortlists come from matters. GenAI chatbots were the top source buyers used to define their shortlists at 17.1%, followed by software review sites at 15.1%. Vendor sites ranked third at 12.8%.

That doesn’t mean your website no longer matters. It means your website may not be the buyer’s first stop. If your content isn’t useful enough to be cited, trusted, or carried into AI-assisted research, you may never make it onto the shortlist at all.

You can’t trap a buyer into a six-figure purchase, especially in an economy where software decisions are expensive, scrutinized, and made by committee. Buyers can validate your claims, compare outside sources, and prove you wrong with a simple prompt or query.

How you can earn a spot on your buyer’s shortlist 

If buyers are using AI search and outside sources to compare claims, validate concerns, and define their shortlists, the answer isn’t to publish more biased content. It’s to create content useful enough to be surfaced by AI and trusted by buyers.

Keeping up with AI search is hard, but it’s not impossible. There are ways B2B brands are breaking through. Brands can still find ways to build trust and keep control of the narrative around their products, but it’s no longer backing your buyer into a corner with a biased comparison table.

Trust often starts outside of your brand, but there are ways to bring it back in-house. 

US affiliate marketing spend is expected to exceed $12bn in 2025, which shows the scale of money flowing into review, recommendation, and comparison-led content more broadly. CreatorIQ found that B2B influencer spend rose 171% year-on-year between 2025 and 2026.

Buyers trust their peers more than brands, but brands can work with credible influencers, creators, and experts to build trust in a way that still helps buyers make better decisions.

Tas Bober, a B2B landing page expert and LinkedIn creator with over 26,000 followers, uses the “the core four” framework to describe the four landing pages every paid media program needs:

• Overview or paid media homepage

• Comparison page

• Social proof page

• Demo request page (or free trial) 

The concept is based on creating helpful, unbiased content that buyers trust and that helps them confidently choose you. The framework comes from a four-slide deck Bober used to share with her boss to advocate for new software.

The goal is to package up exactly what buyers need to make a decision, without pretending your product is the best fit for everyone. That looks like:

• Avoiding the default homepage and building a focused landing page that routes buyers to the right use case, industry, or role.

• Focusing on true differentiators and ICP fit, with statements like “best for mid-sized businesses” instead of claiming you’re the best for everyone.

• Aggregating real reviews from customers and trusted review sites, then linking back to the original review or LinkedIn profile.

• Creating demo pages with navigation that gives buyers a path to keep exploring resources, like your social proof or comparison page, if they’re not ready for the next step, rather than forcing them toward a form with no way out.

This creates content that is genuinely helpful, accelerates buyer research, and increases your chance of making the shortlist because you made it easier for buyers to get the information they needed to decide.

The new way forward B2B marketers need to adopt

The old model was: rank on Google, win the click, control the comparison.

The new model is: be useful, credible and trusted enough for AI systems and buyers to surface, cite and act on.