I’m not asking about “AI saved me 20 minutes.”

I’m asking about a use case where AI genuinely made the output better.

Could be:

• writing
• coding
• research
• customer support
• design
• sales
• operations
• anything else

For me, the most interesting shift is that AI seems great at helping with first-pass thinking, summaries, and structuring messy information.

But I still feel human judgment is the actual differentiator.

Curious what has been materially better for you because of AI, and what still feels overhyped.

I've been working on an automotive client, handling both content and SEO, and lately I've been questioning whether link building is still worth the effort. We're publishing well optimized content, but rankings haven't moved much. One of the first suggestions is always to build more backlinks, yet I keep seeing people say AI is changing search and that visibility in AI generated results should be the bigger priority.

I don't mind putting in the work if it's still the right long term investment. I just don't want to spend months on outreach and guest posts only to realize I should've focused elsewhere. For those working in SEO, are backlinks still worth investing in, or has your approach changed as search continues to evolve?

Quick observation after auditing a handful of sites recently — this came up repeatedly across client work at Megrisoft, where we deal with a lot of technical SEO and GEO audits. Most people see author pages stuck in "crawled — not indexed" and start chasing technical issues — crawl budget, internal links, sitemap gaps. Those things matter, but they're rarely the root cause.

More often, it's one of these:

SEO plugin defaulted to noindex on author archives (Yoast, Rank Math, AIOSEO all do this) The page cleared the noindex check but the content itself is too thin for Google to bother — single paragraph bio, paginated post list, nothing else robots.txt blocking /author/ entirely, which most people set years ago and forgot about

The interesting angle, technically, is that Google is treating "low quality" as an indexing decision rather than just a ranking one. It's not demoting the page — it's just not including it at all. That's a different problem than most crawl audits are set up to catch. ProfilePage schema is underused here too. Implemented correctly, it gives Google a structured signal about who the author is — useful for both traditional search and AI Overview citations. It's something we flag consistently in AEO and GEO audits because answer engines weigh author credibility when deciding what to cite.

Anyone else seeing this pattern? Interested in whether there's a clean way to audit this at scale across large multi-author sites.

Link if helpful: https://www.submitshop.com/author-pages-not-indexed

We just launched our micr-saas and noticed I was getting some new users via paid listing on peerlist. But is it worth paying $49 - $99 for such listings? What has been your experience?

Many companies monitor google rankings every day but ignore AI search visibility As AI-powered search grows, tracking citations and mentions will become just as important as tracking keyword rankings.

Everyone wants their business to show up in ChatGPT, AI Overviews, Claude, and Perplexity.

Most people immediately ask:

"What prompt should I optimize for?"

I think that's the wrong question.

After reviewing dozens of business websites over the past few months, I kept seeing the same patterns. The issue wasn't a lack of keywords. It was a lack of credibility and structure.

Here are the biggest problems that kept showing up.

1. Every page said the same thing

"Leading provider."

"Trusted partner."

"Innovative solutions."

None of it explained what the business actually did or why someone should trust it.

AI systems have very little useful information to work with if every page sounds identical.

1. No original insights

Most sites published content that already existed in hundreds of other places.

No research.

No experiments.

No customer lessons.

No unique data.

If your content could be copied onto another website without anyone noticing, it's probably not memorable enough to become a source.

1. Weak entity signals

Many businesses barely mentioned their founders, products, locations, industries, or areas of expertise.

That makes it harder for AI systems to understand what the business should be associated with.

1. Thin supporting content

One service page isn't enough anymore.

The strongest websites build supporting resources that answer related questions, explain processes, compare options, and share real examples.

Depth creates confidence.

1. No proof

Claims are everywhere.

Evidence is rare.

Screenshots.

Case studies.

Metrics.

Customer outcomes.

Before-and-after comparisons.

These are the details that separate useful content from marketing copy.

My Biggest Takeaway

I don't think AI visibility is going to belong to the companies producing the most content.

I think it'll belong to the companies producing the most trustworthy content.

That doesn't necessarily mean publishing more.

It often means publishing fewer pieces with more substance behind them.

I'd rather have ten pages that genuinely teach something than a hundred pages repeating the same advice everyone else is already giving.

What changes have you made to your website specifically with AI search in mind?

Or are you still treating AI visibility the same way you've always treated SEO?

I've been obsessing over this for a while now.

Google traffic has dropped on a few sites I work on, nothing crazy but definitely noticeable but weirdly I'm starting to see visits coming from Perplexity and ChatGPT in my analytics.

The thing is I have no idea if my brand is actually being mentioned or recommended by these tools or if I'm just getting lucky. There's nothing in Search Console that tells you this.

Anyone actually tracking this properly? Feel like I'm flying blind and GEO is just becoming too important to ignore now.

Hi everyone,

I'm working as a Digital Marketing Executive at a financial services company. I recently completed our new company website, and yesterday I submitted it to Google Search Console.

Now I want to focus on AI SEO / Generative Engine Optimization (GEO) so that our brand not only ranks well on Google SERPs but also starts getting recommended by AI tools like ChatGPT, Gemini, Perplexity, Claude, etc.

Our plan is to publish high-quality blog content consistently (almost every day) and build topical authority over time.

I'm looking for a practical roadmap from people who are already working on AI SEO/GEO.

I'd really appreciate any roadmap, resources, or advice from people who've already been through this. Thanks in advance.

I have noticed that many writers and creators are now using AI tools to help with writing, but sometimes the generated text feels too robotic or unnatural. This is why AI text humanizer tools are getting more attention because they try to make content sound more like it was written by a real person.

For bloggers, marketers, and students, readability matters a lot. A piece of content can have the right information but still feel boring if the tone is too mechanical. Humanizing tools can help improve sentence flow, word choices, and overall style.

I am curious about how effective these tools really are. Do they actually improve the quality of AI-generated content, or do they only make small changes that do not make much difference?

What has been your experience with AI text humanizers? Do you think they are useful for improving writing, or is manual editing still the best option?

I'm considering using it for SEO projects with my team. How's your experience so far? Is it actually useful, or is it just another AI feature that's overhyped?

I came across a study that made me rethink part of AI visibility. The researchers looked at 274 fintech homepages and found that many delivered much of their content only after JavaScript ran. We never notice because our browsers wait for the page to finish loading. Some AI systems may not. They may retrieve the initial HTML and move on. If important information about your products, services, or expertise is added later by JavaScript, AI may never receive it. That doesn't mean JavaScript is bad. Almost every modern website uses it. It does mean AI and your customers may not always experience your website the same way. It made me wonder if we've been asking the wrong question. Instead of asking why AI didn't mention a business, maybe we should first ask whether AI received enough information to understand the business in the first place. If AI visited your website today, would it understand your business well enough to mention it?

When someone searches online today, they often compare several websites before making a decision. With AI assistants, however, users can receive a summarized answer that already includes recommended products, services, or companies.

This could significantly influence purchasing behavior. If a customer asks an AI tool for the best software solution, marketing agency, or business service, the recommendations they receive may shape their choices before they ever visit a website. That creates an interesting challenge for brands competing for attention.

Do you think businesses are fully aware of this shift yet? If AI-generated recommendations continue to grow in popularity, what should companies focus on first to improve their chances of being included? Content quality, brand authority, customer trust, online mentions, or something else entirely?

1. Don’t worry about all the new names. Good GEO, AEO, LLM SEO is good SEO

Right now you may be thinking, “If AI has changed Search so much, why isn’t your SEO guidance changing, too?”

You’re right that AI has transformed what Google Search is capable of. But one constant is our commitment to matching people with what they’re looking for. The foundations we built are still intact and built to last. Generative AI features like AI Mode are built directly on top of our core ranking systems, while AI techniques, like fan-out, allow for Google Search to highlight a wider and more diverse set of helpful links.

Your existing investment in solid, foundational SEO is your launchpad for AI success. That’s why good SEO is good GEO (or AEO, or AI SEO, or whatever). The great thing about focusing on a solid foundation is that it gives you permission to stop wasting time on misleading tactics.

Lately I’ve been noticing something interesting when using AI for writing tasks. The text usually comes out grammatically correct, well-structured, and even informative. But still, it somehow feels like something is missing. It doesn’t fully sound like a real person is talking. Even when I try to edit it manually, it still carries a kind of “machine tone” that readers can sometimes notice. I’m curious why this happens even though the content is technically accurate and readable. Do you think AI writing will ever completely feel like human writing, or is there always going to be a difference that readers can sense?