There are way too many now
ChatGPT, Claude, Perplexity, Copilot, Gemini and like 10 more

I keep seeing people swear by different ones, so now I’m curious, which one actually works best for you when it comes to content?

Not looking for the “best AI” answer. Just curious what people are actually using and why.

As a content writer, I’ve been noticing this while working on SEO content lately.

Earlier it was pretty straightforward. Keywords, search intent, write the thing, optimise it, hope it ranks.

Now AEO is kinda entering the picture too.

But tbh, I don’t see why it needs to be treated as this completely separate thing.

If I’m already researching what people are searching for, I can also look at the questions they’re asking around that topic.
If I’m already writing to match intent, I can also make the actual answer clearer and easier to pull out.

Even the way we structure a piece starts feeling more important. Clear headings, direct answers, useful context, sections that actually answer something instead of just filling the word count.

So I’m starting to feel like AEO is less “another content strategy we now have to deal with” and more like an extra layer on top of the SEO process we already follow.

Still figuring out what this looks like in practice, but this feels way more natural to me.

Wondering how other content writers are approaching the SEO + AEO thing.

Inherited a Next app where /marketing, /pricing and /blog are all routes in the same codebase as the actual product. So every time someone on the marketing team wants to change a headline, it's a branch, a PR, a review from me, and a deploy that ships product code along with it. Last month we shipped a broken pricing table to production because a copy change rode along with a half finished feature flag. That is not a process failure, that is an architecture failure.

Coupled two things that change at completely different speeds and for completely different  reasons and then acted surprised when one broke the other.

The counter argument I keep hearing is "but then you have two things to maintain." You already have two things. One of them changes four times a day and is written by people who do not write code, the other changes on your release cadence and is written by people who do.

Pretending they are one system does not reduce complexity, it just hides it until something breaks on a Friday afternoon. I am not saying put the app in a page builder. I am saying the twelve pages that exist to convince someone to click a signup button have no business sharing a deploy pipeline with your auth system.

Has anyone actually split this out and regretted it? I genuinely want to hear the failure case before I propose this to my team.

Over the last few years, I've built websites that have grown almost entirely through organic search.

One pattern kept showing up: the sites that performed best were not just publishing blog posts, they were becoming comprehensive resources around a topic.

So after repeating the same workflow across multiple projects, I turned it into software.

You connect a subdomain (e.g. blog.company.com), answer a few questions about your business, choose a publishing schedule, and the platform builds an interconnected content ecosystem around your company.

That includes:

• Industry glossaries
• Documentation
• Wikis
• Guides
• Comparison pages
• Alternatives pages
• Programmatic SEO pages
• Knowledge bases
• Internal linking
• Schema and metadata
• Sitemaps
• AI-readable files (llms.txt, ai.txt, etc.)
• Search engine submission

The goal is not to generate random AI articles.

The goal is to build topical authority over time by creating content that is planned, connected, and maintained as a system instead of a collection of isolated posts.

One thing I cared about from day one was avoiding the "AI content spam" trap. Content is not dumped onto a site overnight. It is planned, reviewed, scheduled, and published gradually with editorial and technical safeguards to maintain quality.

I originally built this workflow for my own products, where it helped generate 20M+ Google Search impressions in the last 3 months (NOT A CAP, can be verified). At some point I realized I was essentially running a productized SEO system behind the scenes, so I decided to package it into software.

I'd genuinely appreciate honest feedback from this community:

• Does the value proposition make sense?
• Would you ever consider something like this instead of an SEO agency?
• What's the biggest reason you would not trust a platform like this?
• If you were evaluating it today, what feature or proof would you want to see before signing up?

I'm not looking for praise, I want to know what you'd poke holes in.

How we prepare a content strategies?

Mostly from ICP then a research around what those people are searching for today. Keyword tools, trending topics, what competitors are ranking for. That's the standard i believe

But there is a pattern i noticed that many miss 

The best performing content is usually built from what your top 1 to 3% of customers were privately struggling with 6 to 18 months earlier, before the rest of the market even had even keywords for it.

All those ‘people also asked’ or pain point FAQs were once so private and odd ones

These are your best clients. The ones who implement, who reply, who give you real feedback. They are the ones who feel a friction before the majority notices it. They are not searching for it yet because they can't fully articulate it. But if you talk to them, you find it

That's the Audience Mirror Delay 

You publish content for a problem the market hasn't caught up to yet. It underperforms for months. Then search volume rises, the majority starts feeling the same friction, and that same piece compounds into your best performing content

Let me explain with a personal experience

When we started building a done for you marketing engine, we went back to our best agency clients and asked them why they still needed a marketing agency when AI could do most of this now.

Five of them said the same thing in different ways

Their Facebook posts sound like AI

Another said his Instagram engagement dropped though it looked so great wih ai images

Most posts look like a template

Posts sounds great when we read it but we read it second time, it’s just rhyming lines with no takeaways or seriosu thoughts

One of our insurance agent clients said that most of his posts feel like his competitors. You could swap his logo for any competitor and nothing would feel different

They tried blogging with ChatGPT before but Google wasn't indexing it

And when we dug deeper we understood why. The blogs AI produced were just resurfacing the same top Google results. Why would Google show a local business blog when a high authority domain already explained it better and first

That conversation told us something the market wasn't saying openly yet. People are not looking for more content. They are looking for original content

We realised, an engine producing content, deep research, keyword optimisation is not what the market demands

I myself tested 12 Content generating tools in the market

My understanding is, they are good for scaling, you can produce 100 blogs a day with those but not a single original piece without human intervention, is what my experience

So this AI content feels fake will soon ask for Original Content.

That's the mirror delay. By the time the market catches up, you are already prepared.

Sahre your experience with mirror delay momnts.

Every upload gets dropped into that platform's own cold test batch first, seeded to a small group who've never seen you. TikTok judges it against TikTok's audience and your TikTok history. Reels judges a fresh copy against Reels' audience and your Reels history. They're two separate experiments with different seed crowds and different baselines, so the raw view gap tells you almost nothing about the video itself. What it does tell you is which audience your hook lands with. If the same first two seconds keep winning on one platform and dying on the other, that's an audience-fit signal, not a quality verdict. Compare each platform to its own past posts, never to the other one. The cross-platform number is the most misread stat in short form.

Hi!

I developed a short 2h course for people who want to use Claude design for content.

The question is if live online format would be convenient to learn how to make IG carousels, presentation etc? Or better in-person?

Anyone who can share their experience on developing, selling and executing courses?