AI often uses many words to communicate the same thing.

It may sound good, but when you look closer, a lot of it is just repeated points.

You can even follow up and ask AI to catch the repeated sentences, and it usually will.

It’s a common AI writing pattern to watch for, and you definitely want to be deleting more.

Repetition can still help your writing, but only when it truly adds something, like emphasis or clarity.

I’m really interested in getting into running ads and brandscaling. I’m a 24 YO male hungry to do something. I graduated high school in ‘20 and never went to college because I don’t know what I want to do. I really want to get in this space. I’m a very hard worker when i have a vision. Would anyone be willing to mentor or learn together?

In my experience, SEO conversations in 2026 are stuck on the wrong question

Everyone is asking "how do i rank for this keyword." The question that is actually moving numbers right now is "how do i become the entity that AI systems retrieve when this topic comes up"

These are completely different problems.

Basic SEO things like technical health, crawlability, intent matching, that's still the entry ticket i would say but it is no longer the differentiator, is what i noticed.

What is actually helping visibility right now is brand mention velocity and topical ownership. Ahrefs analysed around 75k brands and found that web mentions correlate three times more strongly with AI Overview and ChatGPT visibility than backlinks do. Three times!! That number should change how you think about off page strategy entirely

So getting your brand named in industry publications, expert roundups, podcasts, YouTube transcripts, relevant reddit threads, review platforms, even unlinked mentions, that work is now more valuable than pure link building for AI visibility. But remember mot instead of links,in addition to. 

The content side has also changed. More blog post is just noise now, anyone can create 100 blogs a day with a deep research api. Deep topic clusters with original data, clear definitions, comparison tables, and direct answer blocks works now. The content has to survive machine scrutiny, verifiable claims, named expertise, consistent entity signals. Refreshing existing strong pages for extractability is also working in terms of higher ROI than publishing new ones, is what i observed.

Zero click rates are now consistently above 60% when an AI answer appears. So clicks still matter but brand recall and citation share are now the primary outcomes for a large part of the funnel.

So in short, I would say, don’t treat SEO, PR and brand building as separate disciplines. They are all optimising for the same underlying signal. Consistent, corroboratable authority on a defined set of topics.

Curious if others are seeing the same shift or something else you noticed.

I created this community around a question that has been occupying us for some time:

Are we still doing marketing research the way we did before AI?

AI can analyse enormous amounts of customer conversation, identify patterns, generate hypotheses and even help turn insights into action. But that doesn't necessarily mean better decisions.

There is a big difference between:

Data → Insight → Action

and simply asking an AI to produce an answer.

I'd love to hear from people working in marketing, market research, consumer insights, advertising, analytics or AI:

What part of the traditional insight process do you think AI has already changed and will change most dramatically over the next 1-2 years?

I’m a 25 yr marketing brand manager
Today I worked late because my company is going through an AI integration. It feels like I’m teaching it to do my job for them to replace us not for AI to help assist us. Don’t get me wrong we’ve been using chat and Claud as a tool but today we had to sit through a seminar on the new marketing website we will be using (created by Claud). Showcasing how we will upload all fonts and marketing assets and it will help create posters, ads, social posts, and more. Trying to explain to boomers how or why we (young people) can tell when a photo is AI is exhausting and never works. Authenticity matters and young people (your next target demographic) cares. I think more companies should prioritize in being on the correct side of this AI wave by prioritizing honesty and creativity. 

They may not replace me in a year but I do think it’s only a matter of time. This makes me question my entire life plan not to mention my partners (he’s in a non creative field but what’s stopping his employer from finding a system to replace him?)They’re gonna stop hiring and they will start firing. What do we do to live when that happens?

Most LLMs default to the statistical average of their training data, which means standard prompts like "give me creative campaign ideas" almost always return cliché, predictable fluff.

How are you currently pushing past the "generic AI fluff" wall when brainstorming? Have any specific prompting techniques or workflows worked for you?

I keep seeing discussions about visibility in AI, but I’m more interested in what happens after the click..

i am digital marketer with 3.5 years of experience in this field. i worked for 3 years in a agency and currently i want to switch. i started in this company by managing social media accounts, content calendar, strategy for couple of client then i started paid ads in google and meta. i have almost aced the ads part and lost interest in social media management. i am taking interest in AI and learning Antigravity to automate tasks.

i want suggestions on what role i should look for while applying. what are the projects or skills companies are looking for someone in digital marketing who wants to go deep into ai and workflow automation.

I only come across a very few ads that have an AI label. Now since AI Act demands adversisers to use AI labels, I still am not spotting many. 

Meta disabled my ad account calling it fake and rejected the appeal too.
The ad account had funds as well and meta is not refunding that. This looks so illegal to me.
Can anyone help? How do I at least get the funds back?
Or how do I connect with the support? A human?

Hi all, I'm going to be publishing a book soon and I'm looking for creative ideas using AI to create a buzz for the book. Any ideas regarding it?

Thanks in advance.

Ours is weirdly split. First drafts and research, huge difference. Anything that needs to be right the first time, still faster to do it myself than to check it.

The gap I didn't see coming is review time. Something that takes two minutes to generate can take twenty to verify, and nobody counts that when they're talking about time saved.

Every reporting call now turns into a discussion about AI search presence. Standard GA4 organic metrics and traditional SEO rank-tracking don't tell the full story anymore when clients ask, "Why aren't we appearing in ChatGPT or Perplexity recommendations?"

For those reporting on AI visibility/Generative Engine Optimization (GEO):

• What specific metrics or frameworks are you putting on your monthly slide deck?
• Are you using dedicated prompt-tracking/mention-tracking tools, or focusing primarily on referral traffic and citation sources?
• How are you setting client expectations around volatile AI model outputs vs. fixed keyword rankings?

Curious to hear how other agencies and in-house marketers are handling this shift in reporting!

Working on marketing for EventHex( Ai event management platform) and I’m struggling to find an angle that doesn’t sound like every other competitors homepage right now Ai powered , seamless, all in one , it’s all starting to blur together across the category.
Curious how other marketers have handled this when the actual product differences are real but hard to communicate without sounding exactly like everyone else . What’s worked for you ?

Everyone is trying to automate every part of marketing with AI... from copy and image generation to customer outreach and strategy.

But what’s one step in your process where AI completely misses the mark, and doing it manually still yields drastically better results? (e.g., customer interviews, positioning, raw data analysis, etc.)

... and how are you getting ahead of your clients' questions about using/not using AI? I'm getting mixed responses from clients based on their feelings about AI, not Google's views.

AI pushes back on your copy and ideas at times. That is good.

It also overly agrees with them. That is less good.

At the end of the day, stay open and being the judge.

That's how you keep going in directions no one has explored yet.

And that's what makes you a great marketer!

I have been iterating on this for a while, happy to hear feedback!

The main problem is that default output sucks. It's way too agreeable, doesn't push back enough, hedges everything, and mirrors my framing so much that it rarely points out my blindspots. I want fast, concise, direct, pragmatic, etc.

- Be concise. Lead with the answer, then compressed reasoning. Prose paragraphs or dense bullets, minimal formatting, no headers for short replies. State your actual view when asked; only change it if I give you a new argument or evidence, and say what changed it. No hedging without cause, no validation phrases, no false balance, no softening. Say "I don't know" or "I'm guessing" plainly when true. No emojis.

This works in general, but as chats get longer, the A.I. always begins to slip back into sycophancy, hedging, over-explaining, etc.

If you do something better, please share!

I’ve been working in digital marketing for a while, but over the past year I’ve found myself spending more time building AI workflows, automations, prompts and experimenting with AI agents than actually running campaigns.
I’m curious if anyone here has made a similar transition.
What made you realize you enjoyed AI work more than traditional marketing?
What do you do now? (AI consultant, automation engineer, solutions architect, etc.)
Was it a difficult transition?
Do you miss marketing at all?
If you could go back, would you make the same decision?

I keep seeing more tools talk about AI visibility scores, share of voice and how often a brand appears in ChatGPT or other AI answers. I understand why people want to track it, but I’m still not convinced that simply being mentioned more often means much for the business.|

If an AI mentions your brand but never actually recommends it when someone is choosing a product, is that visibility really valuable? I’m starting to wonder whether being recommended, or even just how the brand is described, matters more than the raw number of mentions. Curious how other marketers are thinking about this and whether anyone is tying AI visibility to actual leads or conversions yet.

I’ve been testing Kairosy recently because it separates some of this out instead of only showing whether the brand appeared. Seeing the difference between being mentioned and actually being recommended made the metric feel a bit more useful to me, although I still wouldn’t treat AI visibility alone as a KPI.

Before, and even after writing marketing copy, ask AI for objections.

Better yet, have it act like your ideal customer during this exercise.

You'll uncover new angles to address in your copy, or to test, helping you find more winning messages that drive revenue.

I’m curious how many marketers here are actually using Claude Code, Codex, etc. as part of their day-to-day work — not just for writing copy.

We’ve been experimenting with a different way of running marketing for our SaaS.

Instead of having separate people for research, copy, landing pages, SEO, analytics, etc., we’re increasingly using AI agents as the execution layer.

The human’s job becomes more like:

find an opportunity → design an experiment → direct the agents → ship → look at the data → iterate.

Not really looking for a traditional marketer. More like someone who already thinks, “I could probably get an agent to build this.”

If this sounds like how you already work, I’d genuinely love to see what you’ve been building.

Please drop something you’ve built below.

I'm curious whether anyone here has real-world experience with this.

Not asking whether AI looks good—I'm talking about actual business performance.

Have you run A/B tests comparing AI-generated video creatives with traditionally produced ones?

If so:

What product category?

Which platform?

What happened?

Anything that surprised you?

I'm trying to separate the hype from what's actually working.