AI has made it easier than ever to build, launch, write, publish, and automate. That sounds exciting, and for many small and mid-sized businesses, it is. The tools are powerful. The costs are lower. The speed is ridiculous. Somewhere, a marketing intern just generated 37 campaign ideas before finishing a granola bar.
In my conversation with Josh Porter, founder of Thunderwolf Consulting, host of the Marketing Pack Leaders podcast, and bestselling author of The Last Human Marketer, we talked about what this means for product marketing, especially for AI products. Josh works with AI scale-ups, and he sees a pattern that many SMB owners and marketing directors should pay attention to: technical founders often know how to build the thing, while clearly explaining it requires a different skill set. Creating the idea and sharing the idea are separate jobs.
That lesson applies far beyond AI startups. Manufacturers, franchises, professional services firms, wholesalers, and SaaS companies all face the same challenge. Your buyer does not wake up hoping to admire your tech stack. They wake up with a problem, a deadline, a frustration, a fear, or a goal.
Your marketing has to meet them there.
Start With the Problem the Buyer Already Feels
One of the best old marketing lessons still works: people do not want a quarter-inch drill bit. They want a quarter-inch hole. That idea matters even more in the AI era.
Josh pointed out that many AI companies lead with technical specs, model capabilities, context windows, and feature explanations. Buyers usually care about something much simpler. They want to know whether the product solves a painful problem better than their current option.
Sometimes the current option is an outdated software platform. Sometimes it is a spreadsheet held together by caffeine and denial. Sometimes it is Brenda from operations, who has quietly become the company’s entire workflow management system.
For SMB marketers, this is the first lesson: lead with the pain your customer already understands.
Your product may be impressive. Your process may be smart. Your platform may have advanced capabilities. The buyer needs to recognize their own situation before they care about your solution. Strong product marketing answers a few simple questions quickly. What problem is the customer trying to solve? What is that problem costing them in time, money, stress, risk, or missed opportunity? How does your solution make their day better?
The technical explanation can come later. Relevance has to come first.
AI Can Make Average Messaging Sound More Average
Josh shared a concern that every marketing director should take seriously. When companies use similar AI tools, similar prompts, and similar source material, their messaging starts to collapse into sameness.
That is a real risk for SMBs. AI can help you write faster, but speed multiplies whatever strategy you feed it. Generic positioning becomes generic content at scale. Vague customer insight becomes vague messaging at scale. Thin differentiation becomes thin campaigns at scale.
This is where Human-First AI Marketing® becomes practical.
At Avenue9, we believe AI should amplify your authenticity. That requires better source material. Your AI tools need the real ingredients of your business: customer conversations, founder stories, sales objections, testimonials, service insights, values, proof points, and your actual point of view.
Think of AI like a private chef. A great chef can make something wonderful when the pantry is full of fresh ingredients. Give the chef a mystery can from the back shelf and half a stale cracker, and dinner gets weird fast.
Your marketing works the same way. Feed AI real buyer language, real stories, and real expertise. Then it can help you create content that sounds like your business on its best day.
Features Are Easy to Copy. Reputation Takes Work.
One of the sharper parts of the conversation was about competition. In AI products, features can be copied quickly. Websites can be scraped. Positioning can be rewritten. Product demos can start looking similar.
That same pattern is showing up across many industries. AI makes imitation easier. A competitor can look at your homepage, your offer, your lead magnet, and your messaging, then produce something similar in an afternoon. Your reputation takes longer to copy. Josh talked about the need to build differentiation beyond the product itself. That might include community, customer advocates, analyst relationships, press, events, targeted campaigns, and a stronger customer experience.
For SMBs, this is a big opportunity. Your moat includes your product, but it also includes your relationships. It includes your reputation, your referrals, your expertise, your local presence, your founder’s voice, your service experience, and your ability to guide a buyer through a decision with confidence.
A competitor can imitate your homepage. They have a much harder time imitating twenty years of customer wins, a trusted referral network, a room full of happy clients, and a sales team that knows how to listen.
That is where your reputation compounds.
Proof Needs to Feel Human
Josh gave two strong examples of marketing activities AI cannot fully run on its own: customer reference calls and customer communities.
A reference call has to be earned. A company needs to create a good customer experience, build the relationship, ask for participation, prepare the prospect, and make the conversation useful for everyone involved.
A community works the same way. You can use tools to manage it, summarize it, and promote it. The value comes from people sharing real experiences, questions, ideas, and lessons.
For years, many businesses treated testimonials as a few nice quotes on a website. In the AI era, proof needs more depth. Buyers want to know there are real people behind the claims.
A stronger trust system starts with proof that feels personal and specific. That might mean giving qualified prospects the chance to speak with happy customers, publishing short video testimonials from real buyers, or creating case studies that show the before, during, and after of a client success story. The more specific the proof, the easier it is for a buyer to believe it.
You can also build trust through shared learning. Customer-led webinars, private user communities, peer roundtables, industry partnerships, and founder-led education all give prospects a chance to see how your company thinks and how your customers succeed. Even your sales conversations can become useful content when you capture the real questions, objections, and stories buyers bring to the table.
This also matters for Answer Engine Optimization. AI-powered search and answer engines increasingly reward brands that show up consistently across credible sources, videos, podcasts, blogs, interviews, directories, and expert content. Your online reputation now shapes how people and AI systems understand your brand.
That makes trust a marketing asset, a sales asset, and an AI visibility asset.
Product Marketing Is the Bridge Between the Product and the Buyer
A lot of companies confuse product knowledge with product marketing. Product knowledge explains what the thing does. Product marketing explains why the thing matters.
That distinction is especially important for AI companies, but every SMB can learn from it. Your buyer does not need every feature explained at once. They need help connecting their problem to your solution. They need language they can repeat internally. They need a clear reason to care. They need proof that reduces perceived risk.
Good product marketing helps the buyer say, “This is exactly the problem we have, and this company understands it.” That takes more than a prompt. It takes customer insight, positioning, storytelling, sales alignment, and judgment.
Human Marketers Still Own the Strategy
Josh and I also talked about the long-term role of marketers. AI will change workflows. It will change roles. It will change expectations around speed and output.
Experienced marketers still bring the judgment needed to decide what should be said, who needs to hear it, and why it matters.
AI can draft, summarize, analyze, repurpose, and personalize. People still need to understand the customer. People still need to make strategic decisions. People still need to protect the brand’s credibility. People still need to know when the technically accurate message is emotionally wrong.
This aligns with our Human+AI Capability Map™ at Avenue9. The real leadership question is simple: who should be doing what?
Some work belongs with humans because it requires judgment, empathy, originality, and accountability. Some work belongs with AI because it is repetitive, data-heavy, or easier to scale through automation. The strongest marketing systems map the work before assigning the tool.
A practical Human-First workflow looks like this. Humans define the audience, the problem, the positioning, and the point of view. AI helps organize the thinking, pressure-test the message, draft content, and create variations. Humans review for truth, tone, trust, and strategic fit. AI helps repurpose and distribute across channels. Humans listen to the market and improve the system.
That is how you use AI to support clearer, more consistent marketing.
The Fundamentals Still Matter
The AI landscape keeps changing, but buyers still reward clarity, credibility, usefulness, and follow-through.
The fundamentals still matter. Understand your customer deeply enough to describe their problem in their own words. Speak clearly enough that a busy buyer can quickly understand why your solution matters. Build trust through consistency, show proof through real customer outcomes, and create useful content that helps people make a confident decision.
Then make buying easier. Remove confusion from the website, the sales process, and the follow-up. Respond like a real person, keep your promises, and make every touchpoint feel connected. AI can help you do that at scale, as long as the strategy starts with the customer and stays grounded in trust.
What SMB Leaders Should Do Next
The biggest takeaway from Josh’s episode is simple: treat product marketing as the bridge between what you built and what your buyer actually cares about.
For SMB owners and marketing directors, that means your next move should probably involve more listening before more tool-hopping. Interview your customers. Record sales calls with permission. Ask your team what objections they hear every week. Gather the phrases buyers use when they describe the problem. Capture the stories that show why customers trust you.
Then use AI to organize those insights into messaging, campaigns, website copy, email sequences, sales enablement, and content.
The customer language is the pantry. AI is the chef. Your strategy is the recipe.
When those three work together, your marketing becomes more specific, more useful, and more trustworthy. You can move faster while sounding more like yourself. You can scale content while protecting your voice. You can compete with bigger brands by building systems that amplify your credibility, your relationships, and your expertise.
If your marketing feels generic, scattered, or stuck in too many disconnected AI experiments, Avenue9 can help you build a Human-First AI Marketing system around your real customers, real voice, and real growth goals.
Learn how the A9^Factor Framework™ can help your business turn AI into authentic marketing momentum.
