r/MarketingandAI

One thing I've noticed in the AI conversation is that we often confuse speed with quality.

An AI can summarise 100,000 customer comments in seconds.

It can identify themes.

It can generate a report.

It can write 20 social posts.

But none of those things necessarily mean we've discovered something important.

The real value of insight has always been knowing:

• What matters?
• Why does it matter?
• Who should care?
• What should we do about it?

So here's my question for the community:

Have you personally seen AI produce a genuinely better marketing or consumer insight than a human-led approach?

If yes, what did the AI do differently?

If no, what is still missing?

I'd particularly like to hear real examples rather than predictions.

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 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?

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.

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.

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.)

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 ?

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!

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!

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.

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'm a small fashion brand owner looking to outsource content creation

I don't need a full social media manager. I'm mainly looking for someone who can create high quality content for Instagram and TikTok

The catch is, I'm specifically looking for someone who's really good with AI but not the obvious AI slop you see everywhere

I'm talking about:

Realistic AI fashion models

Editorial-style product shoots

Cinematic Reels

Luxury campaign aesthetics

Content that follows current fashion trends and fits my brand

Basically, work where you wouldn't immediately think, "That's AI."

Has anyone hired someone like this before? If so, where did you find them? I'd love to see portfolios or recommendations. I'm open to freelancers, studios, or agencies

If you're a freelancer or agency offering this, feel free to comment or DM me your portfolio. I'd love to check out your work