AI Ads Push Brands Toward Sharper Messaging and More Creative Audience Targeting

Conversational AI is transforming advertising faster than any other digital channel. Brands are experimenting with new approaches despite rising costs and uncertain ROI, while leaders who take calculated risks and earn consumer trust are shaping the future of marketing.

Basha Coleman, Consultant at Basha Coleman Consulting, LLC, and Lead Program Manager at HubSpot, guides teams through the practical realities of launching AI-powered tools in fast-moving markets. She builds go-to-market strategies that balance experimentation and credibility, stressing that early testing is key to discovering what works before pricing and metrics settle.

"Leaders are going to have to throw some budget at things they don't know if it's going to work. Nobody likes to do that, but that's going to be the name of the game," Coleman says. AI advertisers are exploring entirely new ways to measure and drive audience engagement. Broad targeting and old metrics fall short, and in a landscape of shifting prices and undefined benchmarks, companies that experiment and adapt fastest win.

• Ad gamble: "LLMs are going to win in the short term for charging. They might be charging too much, and it’s going to cost a lot, but eventually prices will adjust as people figure out the ROI. While the space is open, have your pockets ready, and keep in mind you won’t be able to be as broad as with a billboard; you’ll have to make some sacrifices, which can be scary for leadership in the short term." Big, generic campaigns won’t work in environments built for concise, intent-driven exchanges.

• New creative standard: "Your value proposition is going to be huge. Explaining what you do in the clearest, most concise way is critical. I was looking at somebody’s website today, and I still don’t know what the company does, that’s just not going to fly. People are looking for exactly what they want," Coleman explains. To succeed, brands must target smaller, highly defined audiences with concise messaging that drives measurable engagement.

A deeper concern is transparency and whether AI tools explain their recommendations, all of which influence credibility. Traditional metrics like click-through rate remain relevant, but new KPIs, such as “clicks per conversation,” may better capture real user engagement.

• Metrics mayhem: "If ChatGPT is always promoting Verizon versus AT&T, people are going to ask why. Is it because Verizon’s paying more? I personally like to follow the money, and I wonder if these AI tools will let users see that, or if they’ll keep it under wraps. I do think perception will probably become neutral over time. Anything that’s new is going to rile people up at first, but over time, people could get used to it, whether that’s a good thing or not," she says. Beyond concerns about budget and creative, trust is the true structural constraint in conversational AI advertising.

• Pure Presence: "If you pay for position one, ideally you would be position two organically. That way there’s no disconnect of trust. Don’t just throw money at ads, put energy into organic too. For consumers and brands, ask questions. For leaders, it’s about understanding cost, impressions, ROI, and knowing you don’t have to experiment yet, you can wait and watch. Curiosity, not blind spending or outright dismissal, is the right posture," Coleman adds. Paid ads may introduce a brand, but organic visibility reinforces legitimacy and keeps audience perception aligned.

Success in conversational AI advertising comes from combining experimentation, clear messaging, and earned confidence to seize the unprecedented opportunities of this early, unpredictable landscape. "The biggest thing is trust. How these AI tools choose which ads to promote, who’s paying, and who’s being priced out, that’s what leaders need to keep asking about. The tools are evolving, and the brands that stay thoughtful and inquisitive will come out ahead," Coleman concludes.