Is Your AI Story Safe for Answer Engines and the Boardroom?

by Mary Obregon

For years, marketers have been taught to take complex products and services and turn them into a message people can quickly understand and remember. AI has made that job a little more complicated.

Today, a prospect may learn about your company through an AI-generated answer before ever visiting your website. If that prospect decides to take the next step, your claims may then be evaluated by legal, IT, procurement, finance or other executives who have become understandably skeptical of the descriptor “AI-powered.”

That means the same message now must work for two very different audiences: the machine summarizing it and the people deciding whether they trust it.

This raises an important question: If an answer engine were to reduce everything you say about your AI capabilities to three sentences, would those three sentences still be accurate?

It’s worth asking because AI claims are getting more scrutiny. Regulators are looking more closely at whether companies can substantiate what they say their AI does, while courts are beginning to address what happens when AI-generated search summaries get information wrong.

The challenge goes both ways. Companies need to be able to defend what they say while also thinking about how those claims might be interpreted, summarized and repeated by AI systems.

Start with What You Can Prove

The answer isn’t to say less about AI. It’s to be more precise about what you say.

When buyers hear terms like “AI-powered” or “AI-driven,” they increasingly want to know what sits behind those words. Who is responsible for how the AI is used? Where is the human oversight? How has the technology been tested or validated? What has actually improved for customers? And how does the technology fit within the rules, policies and compliance requirements those customers already have to manage? Simply having AI isn’t proof of value.

Buyers want to understand whether the technology is governed, whether the claims are supported and whether there is evidence that the product delivers a meaningful result.

This is also where the language you choose truly matters. There’s a real difference between saying a technology “supports compliance” and saying it “ensures compliance.” The same is true for “assists” versus “automates” or “reduces risk” versus “eliminates risk.”

Those distinctions may feel small when a marketing team is refining copy, but they become much more important when a buyer, lawyer or AI system interprets that claim later.

Build the Story Before the Campaign

Before launching an AI message, start with a basic question: What does the AI do?

Take out words like “transformative,” “revolutionary” and “intelligent,” and explain the capability in straightforward language. Be clear about what the system does, the users it is designed to help and where people are still involved in the process.

If it takes several paragraphs to explain the basic claim, the message probably still needs some work.

Once the claim is clear, make sure there is evidence behind it. That evidence might come from product documentation, testing, customer results, case studies or third-party validation. The bigger the claim, the stronger the evidence should be.

It’s just as important to define the boundaries of the claim. What are you not saying? Does the technology assist someone or make the decision itself? Does it support compliance or guarantee it? Does it help identify risk or prevent it?

Being clear about those limits doesn’t weaken the story. It makes it more credible.

Then look beyond the individual campaign and consider the full body of information your company is putting into the market. Your website, press releases, sales materials, executive interviews, customer stories and analyst briefings don’t need to use identical language. But they should all reinforce the same underlying truth.

One defensible truth, everywhere.

Run the Machine Test

There’s one more step that should become standard before a major AI launch or announcement.

Take the public-facing information you’ve created about the capability and ask an AI system to summarize what your company says it does. Then read that summary closely.

Has “assists” turned into “automates”? Has “supports” become “ensures”? Has “can help identify” turned into “identifies”? Has “reduces risk” somehow become “prevents risk”?

If the summary promises more than you intend, pay attention. It may be telling you that the original story isn’t clear or consistent enough yet.

This isn’t about trying to control what AI systems say about your company. You can’t. But you can control whether the information you put into the market is clear, specific and supported by evidence.

The more consistent that public record is, the less room there is for a machine, a buyer or anyone else to fill in the gaps incorrectly.

Communications Has a New Job

This may be the bigger shift for marketing and communications teams.

Your website, press releases, media coverage, executive commentary and customer stories are no longer just individual communications assets. Together, they create a body of information that AI systems may use to explain who you are, what you do and what you can actually deliver.

So the question is no longer simply whether a press release is accurate or whether a product page sounds right. The bigger question is: What story does all of our public information tell when someone, or something, puts it together?

For years, marketers focused on getting attention. Now we also have to think about interpretation. And when it comes to AI, the strongest claim probably isn’t the biggest one. It’s the clearest claim you can prove.

Are your AI claims ready for both the boardroom and the answer engine?

Before your next launch, analyst briefing or PR push, click here to complete the AI Claims Readiness Scorecard.

About the Author

Mary joined Edge Marketing in 2020 and has quickly established herself as an expert in translating complex regulated-industry brand positions into social media content that earns genuine engagement. She leads Edge’s social media and brand strategy practice for clients across legal technology, accounting, and professional services.

Mary’s talent for making sophisticated B2B positioning accessible and engaging on LinkedIn and other platforms has made her a key contributor to client programs that require both strategic depth and platform-native execution.