We said it, and we meant it — humanized brand messaging starts with AI tools.
Before you click away, just hear us out: It’s not about replacing the humans on your team with AI, or leaving your marketing efforts in the hands of Claude or ChatGPT.
Instead, success stems from playing to your strengths. It comes from understanding the role of both humans and AI in your marketing process, and then designing workflows that let both approaches shine.
Yes, it’s a hot take, but guess what? We can back it up with cold, hard facts.
Ads are everywhere. From digital billboards to social media feeds to websites and streaming services, advertisements are now ubiquitous. But this doesn’t stop businesses from rolling out more marketing — as noted by Business Insider, streaming service ad loads rose 18% from January to August 2026.
The result is a steady background hum punctuated by the occasional crash and burn. We won’t go into details here, but at least two recent sports-related ads have stirred up plenty of controversy; good or bad, this got customers talking.
Here’s the thing, though: When customers do notice your ad, you often get one shot. Research from PwC found that 52% of consumers say they stopped buying from a brand after one bad experience — and terrible ads absolutely qualify as a bad experience.
So what makes a great ad? What kind of content stands out for the right reasons and gets consumers to click through or add to cart?
Here, three components are critical: Tone, tactics, and truth.
Your brand needs a tone. Not the “don’t take that tone with me” type, but one that’s consistent across all marketing, advertising, and informational content.
Creating a unique tone helps customers remember your brand, especially if they see your advertisements across multiple channels. Tones are often tied to the type of product or service offered. For example, an activewear company might take a positive, upbeat tone that speaks to conquering challenges or pushing the limits. A home goods business, meanwhile, may focus on peace, quiet, and comfort.
No matter the tone you pick, the important thing is to go all-in. Tonal inconsistencies or a lack of a defined tone can negatively impact consumer perception of brand authenticity, making customers easy pickings for businesses that know who they are.
How you connect with customers also matters. Some audiences prefer humor in their ads, and others want messaging that gets straight to the point. Most customers also want some level of personalization in advertisements; research published in the Economic and Business Horizon journal found that “personalized advertising significantly and positively influences attitudes toward advertising.”
Audience research helps narrow down the best approach. Standard methods apply: Convene focus groups, send out emails, and ask for feedback after customers make a purchase. When it comes to building better tactics, there’s a very simple piece of advice: Don’t fear negative feedback.
This is because positive feedback doesn’t drive change. While the status quo means minimal customer churn, it also means a flat sales profile. By understanding what doesn’t work — and why it doesn’t work — teams can build ads that resonate with target audiences.
It goes without saying: Don’t lie. And yet, here we are saying it. Why?
Because many brands inadvertently tell half-truths to customers, in turn reducing the ability of their business to engage and convert.
Consider an overt lie. An overzealous business promises next-day shipping for a popular product, but can’t possibly deliver. After the initial wave of orders, customers realize they’ve been duped and sales numbers tank. These lies are easy to avoid by under-promising and over-delivering. Instead of claiming you have the capacity to ship next-day, offer one-week delivery and then consistently beat this expectation.
The bigger problems for businesses are accidental lies. These are typically tied to inaccurate or outdated product content that sets customers up for frustration and brands up for failure.
For example, a company running a seasonal discount on its most-bought item might create ads in good faith, only to realize after 1,000 orders have been placed that there are only 500 items in stock. While an apology and a bigger discount can do wonders to boost customer satisfaction, they can’t take away the sting of the unintentional bait-and-switch.
Intelligent tools can exacerbate this issue, especially if companies don’t have ethical AI policies in place that provide transparency, accountability, and non-discriminatory decision-making.
As a result, it’s critical for companies to regularly review, edit, and update product content to match availability and prospective delivery timelines.
AI makes it possible to humanize marketing content.
Sure, it seems counterintuitive: How can an amalgamation of machine learning rulesets help marketing teams build ads that resonate with their audience? To understand that, we need to talk about the rapid evolution and more recent shift of AI.
First-generation, customer-facing AI tools were largely chatbots. These bots offered simple question-and-answer frameworks that reduced the strain on human agents but did little to boost conversion rates.
The advent of generative AI (GenAI) changed the game. With the ability to “think” and act on their own, GenAI-powered agentic solutions could provide context along with content. In practice, this meant they not only helped buyers find what they were looking for, but also offered personalized recommendations based on customer behavior, search history, and spending habits.
This led to an all-in approach that saw many companies spending big on AI while letting experienced staff go. The outcome was exactly what you’d expect: Obvious AI didn’t go down so well with customers.
The result is a shift back toward human-first functions that use AI, but don’t let it run the show. According to Gartner, this move may be costly for companies. The research firm says that by 2029, “30% of employees laid off due to replacement by AI will need to be rehired, often at a significantly higher cost.”
Creating humanized brand messaging that has a consistent tone, uses effective tactics, and is entirely truthful requires playing to your strengths. In other words, let both human teams and AI tools do what they do best.
AI excels at gathering data. Give generative solutions secure access to CRM, ERP, and financial data sets, and they’ll return a host of connected and potentially useful information.
This leads into AI’s second strength: Content development. LLMs can help teams brainstorm new ideas and build advertising strategies. According to data from MNTN Research, 67% of advertising professionals say their companies are using AI to brainstorm new ideas and develop pitches and concepts.
Content alone doesn’t guarantee connection. AI tools combine data frequency and accuracy to create generic content that’s easily forgotten. Humans provide insight that makes content stick and keeps users coming back.
Staff is also essential for ad verification and correction. Because AI can’t go beyond the data provided, intelligent tools run the risk of providing outputs that are confidently incorrect. Statistics and claims may seem legitimate at first glance, but are in fact slightly warped versions of reality.
Humans provide the oversight necessary to ensure every ad published is accurate and truthful.
Suga Free was ahead of the game in his song “If You Stay Ready.” The 1997 hit offered this iconic phrase and provides a useful way to think about AI in marketing.
AI acts as the foundation. Generative tools and LLMs enable rapid data collection and analysis, and help marketing and sales teams brainstorm ideas that connect with target audiences. Consistent use of AI provides a steady stream of ideas that teams can tap as needed.
Humans provide the finesse. Staff can iterate and improve on ad content to ensure it delivers the right tone, uses the right tactics, and always tells the truth.
Working in tandem makes this possible. Alone, AI creates content that’s forgettable at best and frustrating at worst. Using an all-human approach means teams don’t have time to dig in and get creative; instead, all of their efforts are spent trying to keep pace with emerging trends.
So there you have it: Humanizing ad content starts with AI tools because they lay the groundwork for experienced AI teams to review and refine content before it goes public.
Success isn’t about replacing humans with AI, or ignoring AI in favor of familiar processes. Instead, it’s about playing to the strengths that let both approaches shine — and learning how to harness AI for your brand.