You've spent years mastering visibility. Google rankings. Social algorithms. Paid media optimization. You know how to get found.
But there's a channel you might be missing. And the irony is painful: the people who should understand it best are often the ones ignoring it.
When someone asks ChatGPT "I need help with my marketing strategy, who should I hire?", are you in the answer? When they ask "what's the best email marketing tool?", is your product mentioned? When they search for "who creates the best content about growth marketing?", does your name come up?
This is AI visibility. And as a marketing professional, you have no excuse for not owning it.
The channel marketers are sleeping on
You know the landscape. Google's getting harder. CPCs keep rising. Organic reach on social keeps declining. Everyone's fighting for the same attention in the same places.
Meanwhile, a different kind of search is happening. People asking AI direct questions. Getting direct recommendations. Trusting those recommendations.
"What marketing tools should I use for a small team?" "Who's the best marketing consultant for B2B SaaS?" "Best resources for learning growth marketing?"
These queries happen constantly. And the answers AI gives shape decisions.
If you're a marketing agency, AI recommendations mean leads you didn't have to prospect for. If you're a marketing tool, it means signups without ad spend. If you're a marketing content creator, it means audience growth without algorithmic games.
The uncomfortable truth for marketing professionals
You'd think marketers would be all over this. We're the ones who are supposed to understand visibility channels.
But most marketing professionals are invisible to AI. Their agency website describes services generically. Their tool positioning sounds like every competitor. Their content isn't the kind AI cites.
The cobbler's children have no shoes. The marketer's business has no AI visibility strategy.
What AI visibility looks like for different marketing roles
If you run a marketing agency or consultancy:
Your potential clients are asking AI for recommendations. "Best marketing agency for startups" or "marketing consultant who specializes in product launches."
Generic positioning kills you here. "Full-service marketing agency" matches thousands of competitors. "Marketing agency specializing in Series A SaaS go-to-market" matches a specific question with a specific answer.
The agencies getting AI recommendations have sharp positioning, documented methodologies, and case studies with real results. They've made it easy for AI to understand exactly when to recommend them.
If you sell a marketing tool:
Marketing software is brutally competitive. Hundreds of email tools, CRMs, analytics platforms, all fighting for the same customers.
AI recommendations cut through the noise. When someone asks "what's the best email tool for solopreneurs", AI gives a few names with reasons. If you're positioned clearly for that use case, you're in the answer. If you're positioned generically, you're lost in the crowd.
Comparison content matters here. AI answers comparative questions constantly. "[Your tool] vs [competitor]" pages, honest feature comparisons, "best for [use case]" content. Own the narrative about how you're different.
If you create marketing content:
The content creator game is exhausting. Algorithm changes. Engagement drops. Constant production just to stay visible.
AI offers something different. When someone asks "who should I follow to learn about content marketing" or "best resources for understanding SEO", AI recommends specific creators. If you've built authority through comprehensive, evergreen content, you get mentioned.
Your viral LinkedIn post from last week won't get AI recommendations. Your definitive guide to email copywriting might get cited for years.
Building the strategy you should've had already
Start by auditing where you stand. Sign up for Mentionable. Track the prompts that matter for your specific situation. See whether you're being recommended, and for what.
Then get honest about your positioning. Is it specific enough that AI knows when to recommend you? Or is it so broad that you match everything and therefore nothing?
Create content that AI actually wants to cite. Not thin blog posts for SEO. Comprehensive resources that answer real questions. The definitive guide to your specialty. The methodology documentation that shows you know what you're doing.
Build the proof points. Case studies, testimonials, press mentions, review presence. The signals that tell AI you're credible and worth recommending.
Then track it like you track every other marketing channel. Monitor visibility changes. Watch competitive movements. Fill gaps. Double down on what works.
The meta-irony of marketing AI visibility
Here's what's funny. Marketers spend their careers helping clients get visible. They understand channels, positioning, audience targeting, conversion optimization.
And yet most marketers haven't applied any of that thinking to AI visibility. They're leaving leads on the table. They're invisible in a channel where they should dominate.
You know how to build visibility. You've done it on harder platforms with more competition.
AI visibility is just another channel. One where the competition is still thin because most people haven't figured it out yet. One where the work compounds over time instead of resetting every algorithm update.
As a marketer, you should be embarrassed if your competitors are getting AI recommendations and you're not.
Fix it. Sign up for Mentionable. See where you stand. Then do what you do best: build visibility strategically.