r/DigitalMarketingHack

Does anyone know a good website that can guarantee likes and push my post into the algorithm? Specifically only one post? I've been trying to research and all but i just cant find sources that proves its authenticity

AI has made it easier than ever to create content, but that also means the internet is getting flooded with the same generic posts, blogs, captions, and ad copy.

This is where human taste becomes a real advantage.

Anyone can ask AI to write a blog or social post. But not everyone knows what angle is actually interesting, what message fits the brand, what sounds too robotic, what customers care about, or what makes people stop scrolling.

For example, two companies can use AI to promote the same service. One publishes generic content like “we provide quality services at affordable prices.” The other uses a sharper message, real customer pain points, strong visuals, proof, and a tone that actually matches its audience.

The second one wins, not because it used more AI, but because a human made better creative decisions.

AI can help produce content faster, but taste, positioning, storytelling, and brand judgment are still human advantages.

Anyone split-tested Manychat vs AI Chatbot in regards of CR and CPL?

To be more specific: I am curious if a "natural" Chatbot converts better than the classic manychat "flows".

Sure, manychat is just buttons clicking, so its easier for a lead.... but an AI Chatbot could give a way more natural, dynamic conversation and probably way better conversion rates...

Curious. I am sure some have already tested this.

I often see people asking about what is digital marketing, especially beginners who are just getting started.

The digital marketing meaning is actually quite simple. It's the process of promoting products or services online through channels like Google, social media, email, and websites.

If you're still wondering what digital marketing is, think of it as using the internet to connect businesses with potential customers and drive sales.

What's the first thing that comes to your mind when you hear "digital marketing"?

Has anyone else noticed their brand basically disappearing from ChatGPT answers over the last few months? Like, you used to get mentioned when people asked "best tools for X" and now its just crickets.

I run marketing for a small B2B saas and we were doing fine in normal Google results, decent backlinks, the usual. But when I started actually testing prompts in ChatGPT and Perplexity to see who gets recommended in our category, we werent showing up at all. Our two biggest competitors were, and one of them is genuinely a worse product (I know, every founder says that, but in this case its true lol).

So I went down the rabbit hole of trying to figure out what these models are actually pulling from. As far as I can tell its a mix of Reddit threads, a few specific review sites, Quora to a smaller degree, and whatever wikipedia-ish corner of the web mentions you. Reddit specifically kept coming up in every breakdown I read. Which makes sense because the training data is heavy on it and the live retrieval stuff seems to favor it too.

The problem is, we have basically zero Reddit footprint. Nobody on our team posts here regularly, and the few times we tried it felt forced and got downvoted into oblivion. We ended up running it through Ghostplug for the last couple months just to start building some actual presence in the subs where our buyers hang out, and slowly we're starting to show up in a couple of the AI answers again. Hard to say what % is from that vs other stuff we changed but the direction is right.

Mostly im curious what other people are doing. Are you treating AI visibility as its own channel now with its own strategy, or just hoping your existing SEO work carries over? Because from where im sitting they feel like pretty different games.

Hey, I'm a performance marketer with having 1 year of experience in meta ads, i have seen some unusual thing in one video, they told about black hat technique in meta, can any one tell me about it and tell me how is that possible

I used to think scaling social media was mostly about content and consistency, but after managing multiple accounts across platforms, I feel like the real bottleneck is actually account stability.

Once you go past a few accounts, things start getting unpredictable. Logins start triggering checks, some accounts randomly get limited, and even normal activity can sometimes cause issues depending on how everything is set up.

I’ve tried keeping everything consistent and reducing switching, but it still feels fragile when you’re operating at scale.

At this point it feels less like a content problem and more like an infrastructure problem.

Curious how others here are structuring their setups to handle multiple accounts without constantly running into platform restrictions.

Are you a master at sourcing high-quality B2B leads but hate fulfillment?

Let's team up and scale.

I am a digital marketing expert specializing in driving massive ROl for clients. I handle 100% of the technical work, strategy, and campaign execution.

I need a partner who thrives on the thrill of the hunt.

What You Bring
Active lead sourcing pipelines
Outbound sales expertise
Client acquisition skills

What I Bring
Technical marketing execution
High-converting campaign strategies
Proven client retention systems

How We Win
Split revenue 50/50 (or negotiated terms)
Focus 100% on our zones of genius
Scale faster without burning out

If you have the leads but need the technical backbone to deliver world class results, let's talk.

Leave a comment or send me a DM.

I spent 15 minutes this Monday morning using Claude with two MCPs to audit our blog and plan the social distribution. Here's what I did and what came out.

I work at Sociality.io and I update articles regularly, but deciding which ones to prioritize is always the stressful part with GSC, Ahrefs, Cloudflare, back and forth, never feels conclusive. So, I connected all of it to Claude at once and let it run.

What I fed it 👉 Ahrefs MCP for live rankings and traffic data (no exports), three weeks of Cloudflare data showing which pages AI crawlers were actually hitting, our blog sitemap, and Sociality MCP to pull LinkedIn post performance for the distribution part.

Ahrefs MCP

Ahrefs MCP

The most AI-crawled pages were our plain analytics guides. LLMs are already citing us for analytics queries constantly, but none of those pages mention our MCP product. That's the whole insight.

Scoring

I shared a rubric, each article rated 1–5 on CF bot activity, SEO opportunity, AI/MCP relevance, business relevance, and effort. Total out of 20. Claude applied it across 23 articles.

The skip list was honestly the most useful part for me. Articles I'd been meaning to update for months got cut in seconds. The "social listening" post I was convinced had strong AI bot traffic? Actually 2 requests/week.

Then I asked it to look at our LinkedIn too.

Connected Sociality MCP to pull our last 3 months of LinkedIn posts and asked Claude what had actually worked.

Sociality MCP

Uncomfortable finding 👉 Text-only posts averaged 249 impressions and 13.9% engagement. Photo roundups averaged 80 impressions and 8.1% engagement.

From there, it mapped each blog update to a post format with suggested hook copy and a 4-week schedule.

Sociality MCP

Sociality MCP

Sociality MCP

Stack if anyone wants to replicate:

Claude (regular claude.ai, no code), Ahrefs MCP, Sociality MCP (free trial available), and the Cloudflare data.

That last one is massively underused. It shows you which pages LLMs are actively pulling as sources, as direct a GEO signal as you can get without being inside the model.

Happy to answer questions if you have any especially about Sociality MCP.

I’ve been working on local business outreach recently, and a lot of the research starts with Google Maps.

Doing everything manually works at first, but once the number of businesses grows, collecting and organizing all the data becomes really time-consuming.

I recently discovered Outscraper’s Google Maps scraping tool while looking for faster ways to collect business data for lead generation. I’ve also noticed more people talking about using their Google Maps data extraction solution to simplify prospecting. A good Google Maps data extraction solution could make the process much easier.

For those who’ve used tools like this, how well have they worked for you?

https://reddit.com/link/1ugez8n/video/ho76j88s7o9h1/player

I’ve been testing different digital marketing strategies over the past few months, including short form content, SEO, email campaigns, and community engagement. Some tactics seem to lose effectiveness quickly, while others continue to bring steady traffic and conversions.

If you’ve found a strategy that consistently delivers good results without requiring a huge budget, I’d love to hear about it. What worked for you, what didn’t, and what would you recommend someone focus on today?

I’m looking for real experiences and practical insights that others can learn from.

I think the exact opposite is happening. And the people who believe otherwise are going to have a very difficult few years.

Every day, I see some version of the same prediction: "AI will replace marketers." "AI will replace consultants." "AI will replace agencies." "AI will replace writers."

Maybe.

But after spending the last year using AI every single day, my conclusion is completely different. AI isn't making expertise obsolete. It's making the gap between experts and non-experts wider than I've ever seen.

Let me explain.

Ten years ago, if you wanted to build a website, you needed technical skills. Today, anyone can build one. Yet great web developers still exist. In fact, many of them earn more than ever.

Why? Because the value was never in writing code. The value was in knowing what to build.

AI is doing the same thing to knowledge work.

The cost of execution is collapsing. The value of judgment is exploding.

A mediocre marketer and a brilliant marketer now have access to the same tools. The mediocre marketer gets mediocre results faster. The brilliant marketer gets brilliant results faster.

The tool is the same. The thinking is not.

I recently watched two business owners use ChatGPT for content.

One typed: "Write an Instagram caption."

The other typed three paragraphs explaining their customer, offer, market position, objections, buying triggers, and desired outcome.

Same AI. Wildly different output.

One person concluded AI is overrated. The other concluded it was the best assistant they'd ever had. The difference wasn't prompt engineering. The difference was expertise.

Here's what I think many people are missing. For years, a lot of industries quietly rewarded activities like making reports, writing captions, creating presentations, attending meetings, sending emails, producing deliverables.

AI is exposing how much of that work was administrative theatre. Because if a machine can generate 80% of it in seconds, then the market starts asking an uncomfortable question: "What exactly are we paying humans for?" And that's where things get interesting.

Because clients were never paying for captions. They were paying for growth. They were never paying for reports. They were paying for clarity.

They were never paying for deliverables. They were paying for outcomes.

AI is forcing every profession to reconnect with the outcome, which is terrifying if your value came from producing things. And incredibly exciting if your value came from solving problems.

The marketers I know who are thriving right now aren't using AI to replace thinking. They're using it to remove everything that gets in the way of thinking.

Research that took two hours now takes twenty minutes. First drafts that took an afternoon now take ten minutes. Competitive analysis that required ten browser tabs now takes one conversation. They haven't become less valuable. They've become more leveraged. And leverage compounds.

That's why I think the biggest winners of the AI era won't be the people who know the most tools. It will be the people who understand customers the best.

The people who understand psychology, decision-making, positioning, human behaviour, business strategy. Because AI can generate answers. But it still doesn't know which questions matter. And in most businesses, the question is where all the money is.

So, here's my controversial prediction:

Five years from now, we'll stop asking whether AI replaced experts. We'll be talking about how experts used AI to replace everyone who wasn't really an expert.

Curious if others are seeing the same thing. Is AI reducing the value of expertise? Or is it exposing who actually had it in the first place?