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Your Next Article Might Not Be Written for Humans

A survey-based analysis of how 459 marketing leaders are adapting content strategy for LLM readership, covering AI visibility, reputation management, video investment, in-house teams, and the shift from 'being published' to 'being cited.'

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2026-07-26Go Next Marketer12 min read

The other day, I had dinner with a friend who does content marketing.

He asked me a strange question: "Tell me — when I write an article now, who am I actually writing it for?"

I figured he was venting about KPIs.

"No," he said. "When I write a piece now, it might be for readers, for Google's crawler, for ChatGPT, for Perplexity, for those AI summaries. One article. Four readers. I'm losing track."

I sat with that for a beat.

Then I laughed.

I said: you being confused is exactly right. Because in 2026, the entire marketing world is confused — and confused in a surprisingly upbeat way.

A Number That's a Little Scary

Let me show you a data point.

459 marketing leaders were asked: "In 2026, who are you mainly writing content for?"

The result: nearly 25% said their primary reader is an LLM.

A model!

Let that sink in.

We used to write with a picture in our head: "my target customer Zhang San, 35, scrolling his phone on the subway at lunch — what will he see?" And now? Now there's an invisible character in our head — no age, no moods, never off the clock, still reading your blog at 3 a.m.

It reads, it summarizes, slaps a few tags on you, slips you into an answer, and serves it to a user. The user reads that, then decides whether to click through to your site.

At its core, AI has become your new reader. And it's a reader who doesn't click ads, doesn't leave a phone number, and walks away the second it's done.

What stings is that the big companies figured this out first. Among companies with 500+ employees, 32% directly said the LLM is their primary audience. Among companies under 500, only 21% thought so.

Big companies move fast — no surprise there. But if they're moving fast, does that mean this thing has actually arrived?

81% Are Smiling, 67% See Opportunity

I assumed this would send the marketing world into collective anxiety.

It didn't.

In that early-2026 survey, 81% of marketers said they felt good about "content in the age of LLMs." 67% went further — they called it an opportunity, not a threat.

A marketing director named Amanda said something I really liked. She said she's seeing a "reset."

"None of us can be 100% sure what's going to work — and that's exactly why there's so much room to experiment."

She's right.

Think about it: for the past decade, content marketing was held hostage by SEO. Keywords, backlinks, domain authority, long-tail terms, TDK (title-description-keywords)... a pile of rules turned writers into cogs in a search-engine machine.

Now AI has arrived, and the old rules are loosening. Nobody knows what the new rules look like. And that means whoever writes the new rules wins big.

So the optimism isn't unfounded. It's the buzz of excitement inside the chaos.

Money's Going Up — But the Work Hasn't Gotten Lighter

But don't celebrate too early.

Optimism aside, 87% of marketers say their 2026 content budget is going up.

More money is good.

But more money means the boss's expectations are going up too.

It used to be enough just to get people to your site. Now you have to keep three masters happy at once: real humans, traditional search, and those AI answers.

Think about it — isn't this making the job harder, not easier?

What's more interesting is a split that showed up in the survey:

  • Small companies (1–500 people): 41% prioritize "content for humans."
  • Large companies (500+ people): 43% prioritize "content for search engines."

Only 24% of companies treat "AI search" as their top priority.

Why the split?

Put bluntly: small companies go by feel, big companies go by systems.

Small companies stay close to customers — chatting with people, working communities, building word of mouth. That's their home turf. Big companies? They have more people, more products, more markets — they need an SEO-style framework to turn content into a scalable asset.

But notice — big or small, not a single one can pretend AI doesn't exist. LLM summaries, citations, AI answers — they will determine what your brand looks like in the user's head. That's already unavoidable.

Everyone Wants onto the Video Train

After budgets, let's talk about something everyone is chasing: video.

52% of marketers say the area where they're most willing to spend more on "LLM visibility" in 2026 is video.

36% plan to specifically throw money at short-form video — Douyin (China's TikTok), Instagram Reels, that kind of thing.

Why?

Think about it — anyone can write text now, and AI can crank out a hundred thousand articles a day. Video is different. It needs a face, a voice, a scene. It's hard to make, so it's scarce. And when something is scarce, AI is more willing to cite it.

There's also one platform that everyone puts in the top tier — YouTube.

In the survey, 70% of companies doing "content for humans" listed YouTube as their number-one platform; among those doing "content for AI," 71% said the same.

YouTube is interesting. For SEO teams it's a black box — you can't control its algorithm, can't figure out its attribution, and the rules are completely different from search. But you can't not do it.

Because YouTube videos have captions, transcripts, metadata. AI loves to chew on those things. It's a content platform for humans on one side, and a training corpus for AI on the other.

But here I have to give you a reality check.

Whether video can directly earn LLM citations — nobody knows.

Social platforms still don't show up at scale in AI citations yet. The real role of video and social in LLMs is more like helping you "build authority" — something you can't quite articulate, but everyone wants.

So should you do video? Yes.

But don't expect it to be like buying ads — put in one dollar, get two dollars back.

The More Content You Make, the More Fragile Your Reputation

This is the part I most want to talk to you about.

56% of marketing teams plan to produce more content in 2026.

Why? Because everyone believes content volume equals visibility, and visibility equals authority.

But have you considered — as content multiplies, authority might actually become more fragile.

Because here's how an LLM works: it takes everything written about you online, mashes it into a ball, and distills a "who you are."

If you write well and consistently, it paints a flattering portrait. If you write sloppily, contradictorily, cheaply — it paints a blurry, even ugly one.

You think you're writing articles. What you're actually doing is feeding the AI material so it can paint your self-portrait for you.

So the thing content circles care most about right now is called "reputation."

In the survey, 41% of practitioners and 40% of executives both ranked reputation management as the number-one goal of content. Two layers of data, almost identical — that's incredibly rare in marketing surveys.

Usually executives want leads, teams want traffic. This time, somehow, they're aligned.

A veteran named Andy put it bluntly:

"When your brand shines everywhere, AI is more willing to send customers your way. The moment you look dirty somewhere, customers can't even get through the door."

That's a bit absolute — but the principle is right.

You're no longer writing articles. You're preparing the "knowledge brief" the machine has about you.

If the brief is dirty, the machine won't wash it for you.

Bring Content Back to Your Own Kitchen

The next number surprised me a little.

72% of content is produced in-house.

Outsourced? Agency? Neither. People inside the company write it.

And 33% of teams plan to specifically hire a content team in 2026 — building it as an independent function, not a side task.

Why?

Because content is no longer "a quick job for the marketing department." It's the brand's lifeblood.

Hand your lifeblood to outsiders, and they don't know your product, don't know your customers, don't know your tone. The stuff they write might be "fluent" — but fluent isn't the same as "you."

What LLMs reward is long-term, consistent, clear, authoritative content. And only a group of people steeped in your business day in and day out can produce that.

So bringing content back to your own kitchen protects your life — the money saved is almost secondary.

Outsource to an agency, and they'll deliver a pile of articles. But they can't deliver "who you are."

Traffic as a KPI Is Starting to Feel Awkward

At this point, there's an old friend we have to talk about — traffic.

41% of teams still treat "total traffic" as the number-one metric for content success. And if you only look at teams doing "content for humans," that ratio jumps to 51%.

Sounds obvious, right?

But have you ever thought about it — some forms of "being seen" no longer produce "clicks."

A user asks ChatGPT "which CRM is good for a small team," and it shoots back an answer that mentions you. The user thinks "nice," closes the window, and gets back to work.

You got cited. You didn't get a single visit.

Your traffic didn't move. But your influence actually went up.

That's the line from Ann Handley that makes your heart sink a little:

"Traffic tells you 'you were seen.' But it can't tell you 'whether being seen was useful.'"

She's right.

Traffic is the old friend of KPIs — convenient, comparable, easy to put on a report. But it's becoming not enough. LLMs have cut the link between "seen" and "click." If you only watch traffic, you'll miss more than half the real value.

Her advice: pair traffic with a partner metric. Return visits, conversions, number of citations, growth in brand-search volume, quality of comments.

"Traffic tells you that you got noticed. The partner metric tells you whether being noticed did anything."

I need to write that down.

AI Tools Have Entered Your Workflow

This next point you've probably already guessed.

75% of marketing teams have already plugged AI tools into their standard content workflow.

Pilot? Experiment? Neither. It's "used daily."

And 42% of them mostly use it for one thing — topic research.

Not writing the body. Not polishing. Topic research.

Why topic research?

Because topic selection is the work that tests "vision" the most — you have to know what the market is arguing about, what competitors are writing, what users are asking, where the gaps are. One person doing this takes three days. AI does it in thirty minutes.

What it's doing is freeing people from mechanical labor, so they can do the genuinely hard part — judgment.

One marketing leader put it beautifully. She said:

"The real leverage of AI is letting us stress-test our positioning, generate new angles, and turn a messy pile of notes into a clear point of view — before we actually start writing."

That's spot on.

What AI does is "think for you." The writing still has to come from you.

But there's a deeper trend underneath.

27% of marketing teams plan to spend money on proprietary research in 2026 — white papers, industry reports, their own data.

Why?

Because the thing LLM answers love to cite most is "original research with data."

A blog post — AI might lift a couple of lines and move on. But a report with data and methodology — AI will cite it again and again as evidence.

One CEO said: "In an AI-driven environment, being cited beats being published."

Read that line three times.

The keyword of the past decade was "publish" — publish more, cover more, get more exposure. The keyword of the next decade is "be cited" — your work needs to become the source AI answers are built on.

Publishing is passive. Being cited is being chosen.

That's the size of the difference.

One Last Thing: Top-to-Bottom Alignment

There was one more surprise in the survey.

83% of teams and their executives see eye to eye on "what counts as content success."

83%!

That's almost a miracle in workplace surveys.

The usual situation: the executive says "I want growth," the team says "you haven't even defined the KPI." The executive says "I want ROI," the team says "where's the budget, the data, the tools?"

But on content, somehow, they're aligned.

Why?

Because AI has arrived, and the rules are in flux. When the rules are in flux, no one dares to declare which path is definitely right. And in that moment, not fighting top-to-bottom becomes a competitive advantage.

The executive says "let's build reputation," the team says "great — we'll cut the filler and write more substance." They click instantly.

The executive says "let's try YouTube," the team says "sure — let's spin up a minimum team and try it for three months." They click instantly.

Alignment is a speed, not a state.

Aligned teams turn faster. Unaligned teams finish arguing — and the track has already changed twice.

In Closing

Talking through all this, I want to pull it together.

For the past decade, doing content marketing was essentially dating Google's algorithm.

The algorithm liked keywords, so you stuffed keywords. The algorithm liked backlinks, so you bought backlinks. The algorithm liked long content, so you stretched an 800-word nothingburger into 3,000 words.

Now Google's algorithm is itself about to be replaced by LLMs.

Nobody can write the new rules clearly. But a few outlines are already visible:

  • AI is your new reader — you can't pretend it isn't there.
  • Content volume matters, but content consistency matters more, because the AI is painting your self-portrait for you.
  • Yes to video, yes to YouTube — but don't fantasize about instant ROI.
  • Have your own people write your own articles, because "who you are" can't be outsourced.
  • Traffic isn't enough anymore — pair it with a partner metric that genuinely measures value.
  • AI tools are inside the topic-research and research steps, but judgment is still a human job.
  • "Being cited" beats "being published" — proprietary research will keep getting more valuable.
  • Top-to-bottom alignment is more valuable than any new tool.

One last thing I want to say.

My friend asked me: who is an article really for?

I said: for the living, breathing person you want to influence. But at the same time, you also need that machine — the one still reading your blog at 3 a.m. — to read you, and afterward be willing to introduce you to its human friends.

That's enough.

As for how to measure whether it works.

I'm still thinking about it too.

Maybe that's the truest state of content marketing in 2026 — walking forward through the fog, with no map, only a compass. But ahead — there is light.

Your Next Article Might Not Be Written for Humans | Go Next Marketer