Lately it feels like every new AI tool claims it can replace another part of marketer's job.

One tool writes email, Another builds landing pages.

Another promises better ad copy, content, research, or even your entire strategy.

Don't get me wrong, I use AI almost every day, and it's definitely made part of my workflow faster. Brainstorming, first drafts, summarizing information...it's great for those kind of tasks.

But I've also realized that speed isn't usually what determines whether a campaign succeeds.

The harder part is "deciding what to say, who to say it to, and why that message matters in the first place." That's where I still end up speeding most of my time.

AI can give you ten different ideas in seconds, but it doesn't always know which one actually fits your audience, your business, or the moment you're in.

Sometimes I wonder if marketing has shifted from "creating more" to simply making better decisions.

Curious how everyone else is approaching it.

Has AI genuinely changed the way you work, or has it mostly become a tool that helps you get to the starting line a little faster?

Every platform seems more crowded than ever. Users are exposed to ads on search engines, social media, streaming services and even AI tools. Yet many campaigns struggle to capture attention despite bigger budgets and better targeting.

Do you think consumers are becoming better at filtering out marketing messages or are brands simply relying too much on the same tactics?

What's one ad or campaign you've seen recently that actually made you stop scrolling and pay attention?

When I started learning digital marketing, I assumed I needed to master SEO, Google Ads, social media, email marketing, analytics, and content creation all at once.

That approach only left me overwhelmed.

What finally helped was choosing one small project and learning through execution. I created a basic content plan, researched keywords, wrote a few posts, and checked which topics received the most engagement.

A few things I learned:

• Pick one digital marketing channel before trying everything.
• Learn basic customer research before creating content.
• Track clicks, leads, engagement, and conversions—not only followers.
• Study successful campaigns, but don’t copy them blindly.
• Test different headlines, formats, and calls to action.

My biggest suggestion for beginners is to build a small real-world project. Even a simple Instagram page, blog, or mock business campaign can teach you more than watching endless tutorials.

What part of digital marketing was the most confusing when you started?

I'd been reading these AI visibility studies and something bugged me. They're all run in English, on US brands, and then we cite them like they apply to a business in Bogota or Valencia. I went looking for the Spanish-language version and found nothing, so we ran it ourselves.

I picked a market with plenty of real players, marketing agencies in Argentina, and wrote 100 searches the way an actual person would type them. I ran them across four engines, ChatGPT, Gemini, Google AI Overview and Perplexity. And here's the part almost nobody does, I repeated the same 100 searches three times, same day, without changing a single word. That's 1,200 queries in total.

The first thing that came out already felt big. Two AIs agree on average on just 9.6% of the brands they recommend. So out of every ten brands that show up, nine don't repeat in the other model. And when I pooled everything I ended up with 932 distinct agencies, of which 81% appeared in a single engine and in none of the other three.

But hold on, because that still wasn't the thing that broke my brain. Before comparing the models against each other I asked the obvious question. If I run the same search on ChatGPT three times in a row, same day, do I get the same brands?

And the answer is no. ChatGPT agrees with itself just 26% of the time. The most stable, AI Overview, reaches 39% and even that doesn't clear half. Meaning three out of four brands it names change between one answer and the next.

And that one finding breaks half the study, mine included. Because two models can't agree with each other more than each one agrees with itself. That 9.6% doesn't mean the AIs think differently, it means a big chunk of what looks like disagreement is actually noise.

One last thing I didn't see coming. Perplexity plays a different game, it recommends global networks like VML, Ogilvy or Dentsu, while the other three reward local agencies. One example, the same agency that shows up in 70 of the 100 searches for Gemini shows up in 9 for Perplexity.

What I take from it is simple. Measure all four engines separately because one doesn't predict the others, never trust a single query, and if your brand is local start with Google, since AI Overview and Gemini are the closest pair.

Required disclaimer, I work at CreceRank and we ran all of this on our own tool, so it could be biased. And the worst part is I've got nothing to compare it against, because there's nothing like this done for the Spanish-speaking market. If anyone has data that contradicts me or wants to rip the methodology apart, please do, that's the most useful thing for me.

it feels like every week another conversation about agentic ai changing GTM. So im interested in what teams are using today rather than what vendors are promising. a few patterns i've been noticing is accounts being monitored countinuously instead of someone manyally checking for updates every few months, segments updating automatically based on buying singlas rather than static CRM listing and outreach happening when there are meaningful changes instead of stricly following a sequence. for people actually using it all in FTM, does this match what youre seeing? or are most teams still just in experimenting phase??

Seeing a lot of blanket advice this year telling site owners to block AI crawlers wholesale. Worth breaking down because not all bots are the same, and treating them the same will cost you.

GPTBot only feeds ChatGPT. Block it, you're out of that one training pipeline. That's it. One company, one impact.

CCBot is different. It's not tied to one company. It crawls for Common Crawl, a free public dataset that anyone can download and use. A ton of AI companies, research labs, and startups build their models on top of that same dataset instead of crawling the web themselves.

So blocking GPTBot cuts off one company. Blocking CCBot cuts off all of them at once, every tool, model, or startup that relies on Common Crawl loses your site from their training data too.

Turns out people already figured this out, just maybe not for the reason they think. A recent analysis of robots.txt files across prominent sites found CCBot is now the single most-blocked AI crawler out there more blocked than GPTBot, more than ClaudeBot, more than any of them. Some of that is probably intentional. A lot of it is probably copy-paste security configs that treat "block AI" as one setting instead of a list of very different bots with very different reach.

And it's not a one-time hit. AI models get trained on crawl snapshots taken at a point in time. If you're not in this year's Common Crawl archive, you're not in whatever gets built on top of it either, including tools future customers might use to find businesses like yours.

If you're going to block AI crawlers, know the difference between blocking one company's bot vs. cutting yourself out of a shared dataset that half the industry runs on. Check your robots.txt. Don't let a plugin default make that call for you.

I'm curious how marketers, freelancers, and agency owners are generating qualified leads through LinkedIn.

For those seeing consistent results:

• What's your approach to finding and reaching prospects?
• Do you rely more on organic content, outbound messages, LinkedIn Ads, or referrals?
• What type of content generates the most inbound leads?
• Any tools or workflows that have made a noticeable difference?
• If you were starting from scratch today, what would you focus on first?

I'd love to hear what's working for you and any lessons you've learned along the way.

Half the leads my lead generation chatbox puuls are junk, fake emails, somehow who bounced the second it asked a real question, the classic asdf at asdf and every tool demo still swears theirs converts at some absurb rate. I am not anti chatbox, I just think the widget isn't the point, the qualifying logic behind it is. A bot that captures everyone is worse than no bot, because now sales is chasing ghosts and quietly blaming me for it. So for anyone whose chatbox for lead generation earns it's slot in the funnel, what are you asking people before you let them through? Intent, budget, timeline, something smarter than a name and an email?

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What ad-related tasks are you still doing in Google Sheets every week that your reporting tool doesn't handle?

Hi there lovely people. I have done a lot of research between Xiaomi and Vivo phones and have come to a conclusion that I want to buy the VIVI X300 Pro mobile phone for taking photos and videos of Gemstones and Jewellery for my new small business. Sunlight is limited in my apartment so it will be used at a work desk. I don’t want to spend too much time on editing and prefer not to. What do you guys think? Anyone has experience with that phone?
I currently have iPhone 15 Pro and I’m not happy with it for many reasons. I personally do not like any Apple products. Used Huawei phones in the past and they were excellent but they now have limitations in North America so thats not an option.
Please advise. Thank you 😊