u/CharmingMix757

I swear no matter how many times I organize it, the linen closet always ends up a mess again. I start with a simple plan; fold everything neatly, stack the towels, keep the fitted and flat sheets together, so I don’t have to hunt for matching sets later. For a brief moment, it actually looked like those satisfying “after” photos.

Then real life happens, someone grabs a towel in a rush, puts it back halfway folded. Sheets get pulled out, mixed up, and somehow one pillowcase always disappears. And don’t even get me started on trying to fold fitted sheets properly, I’ve tried it a couple of times but it just doesn’t work for me, so I end up just rolling them into a bundle and hoping for the best.

I had to even go on eBay and Alibaba for storage bins and organizers, thinking maybe the problem was I just didn’t have the right system. But honestly, I think it’s less about the system and more about keeping up with it. It’s like no matter how organized I try to be, it slowly drifts back into chaos. Like these things have a mind of their own. Does anyone actually have a linen closet that stays organized long-term? Or are we all just resetting it every few weeks and pretending we’ve figured it out?

I don't think making content is the hardest part of elearning anymore.

The real problem is how complicated production is. There is still too much time spent putting together slides, setting up triggers, changing variables, and fixing formatting.

That's why so many teams go back to static content, even though they really want to make something more meaningful.

The future isn't just about making content faster. It makes building interactive learning less painful, especially with SCORM-compatible AI-native authoring tools that cut down on production costs.

People are also looking for alternatives to Articulate Storyline, Genially, and iSpring for this reason.

I don't know if it's just me, but the way I do research has changed a lot. I don't search Google and read ten blog posts anymore when I need to find tools or resolve problems. I just ask ChatGPT or Perplexity and get an answer right away. No ads, no SEO spam, just honest suggestions.

It's intriguing that the results are nothing like what Google would show. The suggestions that come up when I ask "what's a good alternative to Mailchimp" don't match what would come up on the first page of Google at all.

I wondered, "If I'm doing this, how many others are?" If you're trying to get customers, does it matter if Google is visible if people aren't using it for this kind of research anymore?

I did a little test

I got interested enough to ask the same questions to different AI tools to see what would happen. Things like these:

"best CRM for small groups"

"tools for managing projects from afar"

"helpdesk software that doesn't cost a lot"

The results were inconsistent. Some well-known brands showed up all the time. Others were completely missing, even though they were important players in their field. The AI would sometimes give wrong or out-of-date information about a product.

One tool was called "enterprise-focused," but it was really made for freelancers. Another one didn't show up at all until I asked about it by name. Suddenly, the AI possessed comprehensive knowledge about it.

It looks like these models get their information from various places, such as Reddit threads, blog posts, documentation, and comparisons. That mix determines what is suggested and what is not.

What bothers me is that there is no transparency.

What makes ChatGPT choose a tool when it suggests one? Is it

Content on a website that is well-organized?

Many mentions on Reddit?

Presence in comparative articles?

Complete documentation?

When I asked the AI directly, it gave me vague answers about "training data" and "publicly available information." Not useful.

I think it's a mix of all of the above and what was in the training dataset. If people don't discuss your brand in the appropriate places or manner, these responses won't include it.

In this case, you can't see anything at all, unlike SEO, where you can see rankings and look at your competitors. You can't be sure if AI tools are suggesting you, ignoring you, or getting your information wrong.

This scenario makes me think of SEO in its early days.

I might be dating myself, but this moment reminds me of SEO from 2007 to 2008. Most companies weren't taking it seriously yet. Those who did got a huge head start that took years for their competitors to catch up.

This feels the same. Most brands have no idea how their responses show up in AI. But at some point, the impact will be very important. It could already.

This principle is especially true in B2B, where research is what makes people buy. If you don't show up when someone asks an AI for options in your category, you're not being considered. Your perfect SEO doesn't matter anymore.

Is anyone else thinking about this issue?

I don't know if people are already aware of this change or if I'm just overthinking it.

Are companies already doing this work? What is its name? Someone called it "GEO" (Generative Engine Optimization), which seems like a lot, but whatever.

Has anyone given it a shot?

1. Making website content more "AI-friendly" by changing it around

2. Becoming more active in discussions on Reddit or other community forums

3. Keeping track of whether AI tools suggest you and how

Or am I getting too involved in something that doesn't matter yet?

Completion means that someone came. It doesn't say whether they understood anything, whether they can use it, or whether anything will really change after that.

That's why a lot of workplace learning looks good on paper but doesn't work in real life.

A lot of digital training would be very different if we focused on changing behavior instead of completion rates.

This is when an interactive learning platform that focuses on decisions instead of just tracking becomes a lot more important.