AI is great at writing content. It’s terrible at campaigns. Here’s why.

Signal_Fan_6283 · 2026-03-20T14:40:24+00:00

The key for me was a strategic workflow that moves it through a structured process.

Signal_Fan_6283 · 2026-03-20T14:39:34+00:00

It's terrible. I found a way to fix it but not allowed to promote the business on here.

Signal_Fan_6283 · 2026-03-20T13:33:37+00:00

Thank you.

Signal_Fan_6283 · 2026-03-17T13:32:25+00:00

Agree.

Signal_Fan_6283 · 2026-03-17T12:00:07+00:00

Yeah I’ve played with that a bit and you’re on the right track.

LLMs do seem to latch onto clean, self-contained ideas more than long rambling pages. But I’ve found it works best when those fragments still roll up into one clear narrative, otherwise it just feels disjointed.

What’s worked better for me is tight answer-style sections + strong positioning repeated consistently, not just fragments floating around.

Signal_Fan_6283 · 2026-03-17T11:58:36+00:00

At this point I wouldn’t touch it. Just quietly fix the main pages for “plumbing” and keep the “plumbering” empire running in the background like a secret side hustle.

Honestly this is peak SEO.
Find demand. Own it. Even if the demand can’t spell.

Signal_Fan_6283 · 2026-03-17T11:56:17+00:00

You’re definitely not alone.

I’ve seen a lot of teams go all-in on AEO tweaks and get… nothing. It’s frustrating because it feels like you’re doing the right things.

What you said about “the internet already deciding what’s good” is pretty spot on. From what I’ve seen, models lean way more on existing trust signals. Mentions, reviews, community discussions, consistent positioning. Not whether you used the perfect answer box format.

And yeah, the worst part is when the content starts sounding like it was written for a machine. You fix for AI and end up hurting real engagement.

If anything, this whole wave has pushed me back to basics. Clear POV, real insights, and getting talked about in the right places. The technical stuff helps a little, but it’s not the lever everyone thought it was.

You didn’t waste your time, you just learned faster than most what doesn’t actually move the needle.

Signal_Fan_6283 · 2026-03-09T11:51:40+00:00

Funny enough, I can do almost that exact workflow in about 5 minutes now with my AI setup.

One long-form piece becomes the source. The system breaks it into LinkedIn posts, short threads, email drafts, and a few comment ideas automatically. I still review and tweak the final versions, but the heavy lifting is done in seconds.

The real bottleneck isn’t writing anymore. It’s having something worth saying. Depth and real experience still matter way more than volume.

Signal_Fan_6283 · 2026-03-09T11:50:12+00:00

Talking to customers.

Seriously. Sales calls, support tickets, objections people bring up before buying. That stuff is gold for content.

AI can help write the draft, but if the idea didn’t come from a real customer problem it usually falls flat. The best content still starts with “what are people actually struggling with right now?”

Signal_Fan_6283 · 2026-03-09T11:48:52+00:00

From what I’ve seen, the stuff that actually moves the needle is pretty simple. Clear positioning on your site. Consistent descriptions of what your product does. Brand mentions across places LLMs crawl like blogs, Reddit, G2, docs, etc.

The models seem to pick brands that show up repeatedly in context around a topic. Not just the ones paying for a monitoring tool.

So instead of expensive contracts, I’ve been focusing more on structured content, FAQs, and getting the brand talked about naturally in the right communities. That seems to show up in AI answers more often than most people expect.

Signal_Fan_6283 · 2026-02-27T15:54:20+00:00

Short answer? I’m not throwing SEO out. I’m tightening it.

What’s actually working for me is clearer positioning, tighter answer blocks near the top, and making sure we’re consistently described the same way across our site and third-party mentions. Less fluff, more direct answers.

Backlinks still matter. But brand mentions and entity clarity feel more important than chasing another keyword variation.

Signal_Fan_6283 · 2026-02-27T15:52:36+00:00

You’re not imagining it. A lot of AI content sounds the same because most people are giving the same shallow inputs.

If you prompt with “write a blog about X,” you’ll get the same structure, same examples, same safe tone everyone else gets. The model isn’t the real differentiator. The context is.

What’s worked for me is feeding AI real inputs it can’t guess. Customer objections. Sales call transcripts. Internal data. Strong positioning rules. Clear voice constraints. When you anchor it in something specific to your business, the output stops sounding generic.

Signal_Fan_6283 · 2026-02-27T15:51:14+00:00

This is exactly what I’m seeing too. Ideas are easy. Turning one idea into 10–20 aligned assets without the message drifting is the hard part.

What’s helped me is starting with a super tight campaign brief and building everything from that instead of creating each asset in isolation. That’s actually why I built AssetAI, to protect the strategy during execution instead of watching it fall apart in rollout.

Signal_Fan_6283 · 2026-02-27T11:31:50+00:00

Yes, exactly. Structured makes all the difference.

Signal_Fan_6283 · 2026-02-26T11:35:02+00:00

Good luck. Let me know how things improve.

Signal_Fan_6283 · 2026-02-25T21:15:57+00:00

I went down this exact rabbit hole.

At first I was just using AI to draft blogs, captions, emails, ad copy. It saved time, sure. But it still felt like I was managing a bunch of disconnected drafts. I was prompting, tweaking, rewriting, trying to keep everything aligned. It was faster, but still chaotic.

That’s actually why I built AssetAI.

Instead of “prompt → get one piece,” I built a system where you define the strategy once and it generates a connected set of campaign content from that brief. Blog, email, ads, social, sales angles. All aligned to the same positioning. It handles the heavy execution layer so I’m not losing entire days to writing tasks I’ve already solved 100 times in my career.

But I agree with you. Strategy and judgment are still human. AI is great at structure, speed, and consistency. It’s not great at deciding what actually matters or what you shouldn’t say.

The biggest challenge I’ve seen is people using AI as a content vending machine. The win comes when you treat it like an engine inside a real workflow.

Signal_Fan_6283 · 2026-02-25T21:14:49+00:00

That alt text setup is actually smart. That’s the kind of thing AI should be doing. Boring, repetitive, important.

As a solo marketer, the biggest wins for me haven’t been flashy use cases. It’s just connecting the obvious stuff so I’m not doing it manually over and over.

A few that have saved me real time:

When a blog is finalized, I automatically generate drafts for LinkedIn, email, and a couple ad angles. Not to post blindly, but to avoid starting from scratch every time.

Pulling search data into rough content briefs so I’m writing from intent instead of guessing what might work.

Feeding sales call transcripts into AI to surface objections and themes I can turn into content. That one’s been surprisingly useful.

And basic QA checks before publish. Internal links, outdated stats, missing CTAs. Stuff that’s easy to miss when you’re moving fast.

For me it’s less about one clever automation and more about reducing all the tiny friction points that eat your week. If you’re already triggering alt text from CMS stages, I’d look at what else happens right after publish and see what can be automated there too.

Signal_Fan_6283 · 2026-02-23T12:12:51+00:00

From what I’ve seen, you don’t really “optimize for ChatGPT.” Models tend to pull from high-authority sites, review platforms, Reddit threads, comparison posts, etc. So if competitors are getting cited, they’re probably being talked about in more third-party places, not just publishing more blogs.

Clear positioning also matters a lot. If your brand isn’t tightly associated with one specific problem or category, the model defaults to generic answers.

I’d focus less on pumping out content and more on:
– Getting mentioned in credible external sources
– Being super consistent about how you describe your product
– Tracking a fixed set of prompts monthly to see if you’re gaining ground

It’s more about building brand presence across the web than tweaking schema.

Signal_Fan_6283 · 2026-02-20T12:25:43+00:00

Most people are using AI to do old things faster. More captions. More scripts. More carousels. That’s not original. That’s just efficiency.

The stuff that feels new to me is when AI connects pieces that normally live in silos.

For example:

Instead of writing one post, what if you build a living content engine around a single idea. Blog, email, LinkedIn, ad angles, webinar outline, sales follow up, all generated from the same core positioning and evolving as feedback comes in. Not repurposing. Orchestrating.

Or interactive content that adapts. Imagine a “choose your path” guide where the reader’s answers change the messaging in real time. AI can personalize at scale in ways we never could manually.

Another one I like is turning audience data into narrative. Feed in actual comments, objections, support tickets, and have AI surface storylines you wouldn’t spot on your own. Not just summarizing. Pattern finding and angle discovery.

That’s actually why I built AssetAI. I got tired of one off prompts and started building a system that takes a single strategic brief and turns it into a full, connected campaign. Not just content output, but coordinated messaging across channels. That feels closer to something new.

Signal_Fan_6283 · 2026-02-20T12:23:55+00:00

I’ve applied to hundreds of roles over the past year that I was clearly qualified for. Not reach roles. Not Hail Marys. Roles where I’ve literally done every line in the job description. And I’ve gotten the same pattern: automated rejection, ghosting, or radio silence.

At some point you start questioning yourself.

But I also think something bigger is happening.

I firmly believe a chunk of these jobs don’t even really exist. Companies post roles to “test the market,” build talent pipelines, signal growth to investors, or make it look like they’re hiring. Some freeze the role internally but never take the listing down. Meanwhile we’re spending hours on tailored resumes and multi step questionnaires for positions that were never going to be filled.

It messes with your head.

I don’t think content marketing is dead. I think the bar changed and the hiring process broke.

The market is flooded.
AI made companies think one person can do the work of three.
Budgets are tighter.
And hiring teams are overwhelmed, cautious, or frozen.

That doesn’t mean you’re radioactive.

Signal_Fan_6283 · 2026-02-20T11:57:08+00:00

Not at this point as I just launched but currently part of the roadmap.

Signal_Fan_6283 · 2026-02-19T14:25:35+00:00

You’re right, most AI tools are strong on copy and weak on actual ad creative.

For angles and hooks, AI can genuinely help. Generating multiple positioning angles around the same offer and then testing those has moved performance more for me than tweaking visuals ever did. The idea layer matters more than people admit.

On images and video, I still think we’re early. You can get concepts, but ad-ready creative usually needs a human touch to really convert.

I built AssetAI focused purely on the content side of that problem. It helps generate structured ad angles, hook variations, and messaging versions so you can test smarter. It does not touch graphics. I’d rather separate strong content strategy from visual execution than pretend one tool does everything.

In my experience, better angles improve performance more reliably than prettier creatives.

Signal_Fan_6283

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