Does Content Marketing Still Make Money in 2026? I Read 353 Survey Responses

I have a friend who does content marketing.

One night, he texted me: "Bro, an article we slaved over just fell off the rankings. My client is asking whether AI has killed our whole industry. What am I supposed to tell them?"

I didn't reply for a long time. Not because I didn't want to, but because I wanted to know the answer myself.

Then I got my hands on a report. The U.S. content marketing agency Siege Media ran a survey at the end of 2025, asking 353 content marketing and SEO professionals how they'll split their 2026 budgets, how they use AI, and where they're publishing content.

The data hits hard. I picked the five most surprising findings to walk you through.

Surprise #1: The money didn't shrink, it's growing

Start with the smallest teams. Those spending under $5,000 a month on content dropped from 48% in 2023 to just 25% now.

Cut in half.

Now look at the well-funded side. Teams spending $15,000–$45,000 a month accounted for 19% of respondents in 2025; this year, that number jumped to 31%.

The most eye-opening twist: among teams that serve both B2B and B2C, 16% burn through $45,000+ a month. For teams focused on just one side, whether B2B or B2C, that figure is only 10%.

People playing both sides spend big.

Where does the money go? Beyond hiring, the big bucket is outsourcing. Only 14% of teams do zero outsourcing now, versus 29% in 2023. And the share outsourcing 75%–100% of their budget jumped from 5% to 21%.

In plain terms: in content marketing, the era of "one person doing it all" is over.

Zoom out to the whole market: in 2026, 61% of teams still have monthly budgets under $25,000. The surface looks the same; the money is just running deeper underneath.

Surprise #2: Everyone uses AI, but nobody will hand it the whole job

In 2023, only 65% of teams planned to use AI, and 17% outright refused. This year? 97% are using it.

At this point you might be thinking: isn't the whole internet turning into an AI dumping ground?

Hold on. Only 1% will admit their content is 100% AI-generated. For most people, AI's involvement sits somewhere between 11% and 40%.

So where does that little bit of AI go?

At the "head." 74% use AI to generate content ideas, 47% use it for design inspiration, up from just 25% in 2025. 55% use AI for strategy brainstorming and building user personas.

Now look at the "tail." AI-written outlines fell from 72% to 61%. AI-drafted first versions dropped from 57% to 44%. But editing with AI's help rose from 19% to 38%.

The direction has completely flipped. People trust AI more at the start and the end, but the deeper into the writing itself you go, the less they'll let go.

Why? Every programmer has heard of "rubber duck debugging." You're stuck, so you explain the problem out loud to a rubber duck, and somewhere mid-explanation, the answer just clicks.

AI in content marketing is that duck. When inspiration runs dry, you ask it. When you're stuck on an outline, you talk to it. When you need typos caught, you let it do a sweep.

But letting it write the whole thing from scratch? It'll happily sound confident while making things up. Hallucinations, invented data, hyping its own work, the whole package.

So everyone in the industry has an unspoken rule now: AI handles the head and the tail; humans own the middle.

Surprise #3: ChatGPT is still the king, but the pack underneath is reshuffling

Which AI does the marketing world trust most?

ChatGPT, at 80%, a runaway leader.

It's the layer below that gets interesting. Claude was the most trusted by just 28% of respondents in 2025; this year it's 55%. Gemini climbed from 16% to 44%, more than doubling.

Wow. Both of the tools everyone once treated as also-rans are now surging in approval.

Makes sense when you think about it. How many people do you know who use just one AI? You ask one for questions, one for code, one for images, three apps on one phone.

ChatGPT's also had its share of stumbles. When that spring 2025 model generation came out, plenty of people complained the quality slipped. Then came fall's wave of news about "AI hallucinations" and "privacy and security," and its reputation took hits. Right in that gap, Gemini stepped up and grabbed attention.

You think that's the end of it? The real plot twist is in the next one.

Surprise #4: Google's AI Overviews didn't kill content, they dug it a new front door

When Google rolled out "AI Overviews" in 2024, everyone living off content panicked: Google's just going to copy the answers from pages straight into its summaries, users won't even click through anymore. What's the point of us?

Two years later, what happened?

Not only did content survive, it gained a new path. When you search "best restaurant nearby" or "how to fix a broken dishwasher," more and more people aren't going to Google at all anymore; they ask an AI directly. And how does that AI answer? It depends on which pages it cites.

So marketers started chasing a new KPI: Am I being cited inside AI's answers?

What's GEO? Short for Generative Engine Optimization. Simple version: engineering your content so that when an AI answers a question, it cites your content a few more times.

The name is still all over the place. 43% call it GEO, 44% call it SEO for AI, and there are people calling it AEO (Answer Engine Optimization) and LLMO (LLM Optimization). Everyone's just shouting their label first; they'll sort out the definition later.

Names alone are boring, so let me show you a case.

Mentimeter, an online presentation tool taking on Microsoft and Canva. Tough fight, right? It switched up its playbook, going all-in on "product comparison," high-intent content aimed at buyers close to deciding. The result? In six months, Mentimeter was mentioned 124,000 times in ChatGPT conversations. In a single month, that drove 3,400 conversions.

See? Content didn't die inside Google. It just found a new way to live, inside AI.

Chasing this new KPI costs money, and the data includes a price list: most people pay under $500 a month just to watch how often they get mentioned in AI. The tools aren't cheap either. Some are add-on modules for existing SEO software at $199 a month, and enterprise tiers start at $1,499 a month just for the base fee. Too pricey? Two years ago, you couldn't have spent this money even if you wanted to.

Surprise #5: Video takes the biggest slice, but the real winners rely on "people"

Where's the 2026 money moving? Video. 52% of marketers plan to pour more budget into video and multimedia, and 42% are betting on short-form video.

The exit list is out too: 39% plan to pull back from blogs and long-form articles, and 33% are cutting interactive tools and calculators.

Look at it another way: this isn't panic, it's some people busy moving and others staying put. 35% have one answer only, that budgets stay exactly where they are.

Social media's been churning too. TikTok's been squeezed by the U.S. on and off since 2020; by 2026 the White House finally negotiated a deal that lets it keep operating, and Americans still scroll daily. When the platform doesn't die, advertisers don't have to flee.

The really interesting part is a different set of numbers: how "successful" people feel, broken down by industry.

53% of finance professionals say their content marketing is very successful, number one across all industries. Healthcare is second at 44%. The worst off? Online media and publishing, at just 16%.

Weird, right? The flashy industries guard their storefronts but have nothing to show for it, while industries as "plain" as finance and healthcare quietly rake it in.

Why? Because in both of those industries, content has to be reviewed by professionally credentialed people. Get it wrong and something serious happens, and Google watches especially closely. Work with a barrier to entry keeps competitors out, so it commands a premium.

It's not that people watch you because you made a video. It's because you're worth trusting.

In the AI era, content isn't scarce, expertise is.

The End

Back to that friend from the beginning. Yesterday he asked me again: "So did I do it right, or did I do it wrong?"

I said: in 2026, even having more time than before to agonize over it isn't entirely a bad thing. Because AI has driven the price of "content that just fills space" down to a few cents, and turned "expertise that dares to be cited" into real money. What you should compete on isn't speed. It's being dependable.

The judgment and the human traces you leave in every line you write, that's what no one can copy from you.

This year, may what you write not just be found; may it be cited.

He read it for a long time, then answered: "You're not talking about data. You're talking about how to survive."

I said, yes, because the question the data has to answer is itself about how you survive.