Tell me lies?
Could veracity be B2B marketing’s competitive edge in 2026?
If you’ve spent time researching anything online lately, you’ve felt it: a creeping skepticism. Maybe the images look a bit off. The text is a bit too generic, and repetitive. It’s weirdly upbeat, too. There are too many em-dashes. You realize that what you’re looking at might not be carefully made. It might not be trustworthy. It may actually be lying to you.
When you’re looking at review sites for shoes or a rice maker1 this might be annoying. But if you’re looking for work, this can be catastrophic. Marketing for any kind of B2B business, whether you’re selling solutions or steel beams, involves learning about your industry and your customers. Often it means learning about your customer's’ industries. What are the forecasts? What are the key challenges? That means doing research.
This is getting harder and harder as the internet becomes a hall of mirrors, with many players competing over the same keywords with identical SEO strategies. Enter AI content generation, which makes the situation even more miserable for your research. Instead of accurate reflections, information is blurred by "AI slop"—content that looks right, but as you read reveals itself to be processed through three layers of passive-voice corporate filters and hidden factual hallucinations. We have entered a strange era of robot-to-robot marketing, where AI agents generate content for AI crawlers, leaving the actual human buyer—the one with the budget and the professional risk—feeling frustrated and even insulted.
Working with clients across many different industries, we’ve found that the most valuable commodity in this landscape isn’t "reach" or "volume." It is veracity.
When the "Confidence" is Fake: Recent Failures in Accuracy
This AI content generation crisis is no longer just a growing pain of a heavily-hyped but still infant industry. It’s actually destroying brand equity in real-time. In 2025 and early 2026, we saw several major organizations learn the hard way that AI-generated confidence is no substitute for human verification:
Deloitte’s "Human Intelligence Problem": The consulting giant was forced to refund a portion of its A$440,000 fee to the Australian government after admitting that an AI-drafted report on the welfare system contained references to research that didn't exist. A senator famously noted the firm had a "human intelligence problem," highlighting the massive reputational risk when authority brands outsource their expertise to algorithms.
Google’s "Hallucination Highlights":Google’s own AI Search tools faced a public relations nightmare after recommending that users use non-toxic glue to make pizza cheese stickier and suggesting they eat at least one small rock a day for vitamins. These "authoritative" answers, presented with total confidence, have made buyers deeply skeptical of any automated advice.
The Chicago Sun-Times’ Imaginary Books:The publication released a summer reading guide in 2025 where several of the recommended titles simply did not exist—they were entirely invented by a generative AI tool.
Coca-Cola’s "Soulless" Rejection: Even B2C giants haven't been immune. Coca-Cola’s fully AI-generated holiday ads were branded "soulless" and "devoid of creativity" by audiences, who saw the move as a low-effort attempt to bypass human artists.
Conde Nast Becomes Part of its Own Story:Ars Technica had to retract a story about an AI agent that launched a smear campaign against a software engineer because the article featured fake AI-generated quotes.
The High Cost of Playing It Safe
To be fair, the B2B "blandness" problem comes from a very real place of risk aversion. Unlike B2C, where a bad purchase might cost a few dollars, every major B2B procurement in 2026 feels career-defining. Gartner’s 2025 report on B2B buying was filled with eye-opening findings. With decision-making units now involving an average of 13 internal stakeholders and nine external influencers, the pressure to reach a consensus is immense.
This high-stakes environment breeds organizational inertia. Companies hide behind passive-voice "market-speak" because it feels safe. They use generic AI tools to pump out volume because they are terrified of being invisible in an "answer economy." But here is the paradox: 73% of B2B buyers now actively avoid suppliers who send irrelevant, formulaic outreach. The "safe" path might be the fastest way to be disqualified.
What is Veracity in 2026?
Veracity is the convergence of accuracy and authenticity. It is the commitment to being "helpful first and persuasive second." In a market where 20% of AI answers still contain major accuracy issues, veracity is your most stable "trust currency."
Breaking out of the complacency trap requires three fundamental shifts:
Transition from "Discovery Theater" to Real Authority: Buyers are tired of repetitive, scripted intake calls. Veracity means replacing 30-slide generic decks with one-page, buyer-specific proof.
AI as a single tool, Not a Ghostwriter: Use AI to detect data patterns behind the scenes, but keep a human in authorial control to avoid the "robotic red flags" that many buyers can now spot instantly.
Radically Honest Branding: Trust is built by setting "fit boundaries"—being explicit about who your solution is not for. This transparency reduces friction and builds instant credibility with skeptical buying groups.
Moving the Industry Forward
When a B2B company chooses veracity over "slop," they do more than just improve their own conversion rates. They break the cycle of complacency that has made B2B marketing feel like a chore. By addressing technical specs for engineers and ROI modeling for CFOs with verified, human-led insights, we move B2B back to its human roots.
In 2026, the brands that win pipeline won't be the loudest or the most automated. They will be the ones that have the courage to be accurate, the discipline to be helpful, and the veracity to be real.
Is your marketing built for computers or for the people who actually buy? Let’s build something veracious.
