u/Longjumping-Rice7362

SEO has changed a lot in 2026, especially with AI search becoming a bigger part of how people find information.

I'm curious to hear about the strategies that are actually producing results—not just the ones everyone is talking about.

Maybe you:

• Recovered traffic after a major drop
• Grew organic traffic significantly
• Ranked for competitive keywords
• Built a successful content strategy
• Earned some high-quality backlinks
• Started getting visibility in AI-generated answers
• Improved an existing site's performance

What's your biggest SEO win this year, and what do you think made the biggest difference?

It would be great to hear some real-world examples and lessons others can learn from.

AI seems to be everywhere right now. Businesses are using it for content, customer service, marketing, data analysis, automation, and even decision-making.

But I sometimes wonder where the hype ends and the real business value begins.

For some companies, AI is clearly saving time and reducing costs. For others, it seems like they're adopting tools simply because everyone else is doing it.

I'm curious about what people are actually experiencing:

• Has AI made a measurable difference to your business?
• Which tasks has it genuinely improved?
• Have you saved time or money because of AI?
• Or have you found that many AI tools create more work than they eliminate?

Do you think AI is a temporary hype cycle, or are we looking at a fundamental shift in how businesses operate?

SEO has traditionally been about ranking pages on search engines. But with AI Overviews, voice search, featured snippets, and AI-powered search becoming more common, it feels like the goal is shifting from ranking for keywords to becoming the answer.

That’s where Answer Engine Optimization (AEO) comes in.

Instead of only targeting keywords, AEO focuses on creating content that directly answers questions, provides clear information, and is easy for search engines and AI systems to understand.

But is AEO really the next stage of SEO, or is it simply another SEO tactic with a new name?

I'm curious to hear what others think:

• Are you actively optimizing content for AEO?
• Have you noticed traffic or visibility changes from AI-powered search?
• What AEO strategies are actually working for you?
• Do you think traditional SEO will remain just as important?

Is AEO the future of search optimization, or are we overcomplicating SEO with another acronym?

AI is becoming a bigger part of finance—from analyzing market trends and detecting fraud to assessing credit risk and helping people manage investments.

On one hand, AI can process huge amounts of data much faster than humans and potentially identify patterns we might miss. On the other hand, financial decisions based on flawed data, biased models, or incorrect AI predictions could have serious consequences.

I'm curious where people stand on this:

• Has AI actually improved financial decision-making in your experience?
• Would you trust AI to make or recommend an important investment decision?
• Where do you think human judgment is still essential?
• Do the benefits of AI outweigh the risks in finance?

Is AI making financial decisions smarter, or are we just creating new risks that we don't fully understand yet?

Starting a business used to mean spending weeks researching markets, competitors, customers, and business ideas. Now, AI can help with many of those tasks in a matter of hours.

I'm curious whether AI has actually changed the way people approach entrepreneurship.

For example, AI can help with:

• Researching and validating business ideas
• Analyzing competitors
• Creating initial marketing plans
• Building websites and content
• Automating repetitive tasks
• Brainstorming products or services

But there's also a downside. With AI making it easier to launch almost anything, competition can become much higher, and simply using AI isn't necessarily a competitive advantage anymore.

For those who started a business recently, has AI genuinely changed your approach?

What did you use AI for, and what parts of starting a business do you think still require good old-fashioned human judgment?

SEO seems to change every year, but 2026 feels like a different game with AI search, AI-generated content, and increasingly competitive SERPs.

I'm curious about the tactics people have actually dropped from their SEO strategy.

For me, I'm becoming less interested in things like publishing content just to target every keyword, chasing low-quality backlinks, and creating generic AI articles at scale.

Instead, I'm putting more effort into search intent, first-hand experience, topical authority, content updates, and genuinely useful resources.

But that's just my experience.

What SEO tactic have you stopped using in 2026—and what made you stop?

Did it stop producing results, become too risky, or did you simply find something that works better?

With AI-powered search becoming more common, I've been rethinking how I create content.

Instead of focusing only on rankings, I'm trying to make my content easier for AI to understand and reference. That means writing clear answers, using descriptive headings, adding first-hand insights, and structuring content around user questions rather than just keywords.

I'm still experimenting, though, and I'm curious what others are doing.

• Have you changed the way you write content for AI-powered search?
• Are you seeing any benefits from optimizing for AI-generated answers?
• What strategies have worked best for you so far?

I'd love to hear what's working in practice, especially from people who've noticed changes in traffic or visibility.

A year ago, my SEO process looked completely different. Now, AI has become part of almost every stage—from keyword research and content planning to drafting and optimization.

That said, I've also noticed that simply publishing AI-generated content isn't enough anymore. It feels like search engines are rewarding content with real expertise, original insights, and a clear focus on user intent.

Because of that, my approach has shifted. I use AI to speed up repetitive tasks, but I spend more time refining content, adding first-hand experience, and building topical authority.

I'm curious how everyone else is adapting.

• Has AI changed the way you approach SEO?
• Are you using it mainly for research, content creation, technical SEO, or something else?
• Have your rankings improved, stayed the same, or declined since incorporating AI into your workflow?

I'd love to hear what's actually working for people in 2026, not just the latest AI trends.

AI has become a regular part of my workflow, but I'm curious how others are using it.

For me, the biggest time saver has been content research and drafting. It doesn't replace human input, but it definitely speeds up brainstorming, outlining, and editing.

I've also seen people use AI for things like:

• Customer support
• Email writing
• Data analysis
• Meeting summaries
• Marketing and social media
• Workflow automation

I'm interested in hearing real experiences rather than just the usual AI hype.

What's the one business task AI has saved you the most time on, and has it actually improved your productivity?

AI has become a regular part of my workflow, but I'm curious how others are using it.

For me, the biggest time saver has been content research and drafting. It doesn't replace human input, but it definitely speeds up brainstorming, outlining, and editing.

I've also seen people use AI for things like:

• Customer support
• Email writing
• Data analysis
• Meeting summaries
• Marketing and social media
• Workflow automation

I'm interested in hearing real experiences rather than just the usual AI hype.

What's the one business task AI has saved you the most time on, and has it actually improved your productivity?

Over the past year, it feels like SEO advice has become more divided than ever.

Some people say topical authority is still the key. Others are focusing on search intent, internal linking, EEAT, or optimizing for AI Overviews and GEO. At the same time, tactics that worked a few years ago don't seem to have the same impact anymore.

I'm curious what people are seeing from real-world experience rather than theory.

What's actually moving the needle for you right now?

For example:

• Better internal linking?
• Refreshing old content?
• Improving page speed and Core Web Vitals?
• Building topical authority?
• Optimizing for AI Overviews/GEO?
• Something else entirely?

It would be great to hear what's working across different niches, since I imagine the answer isn't the same for every website.

With AI search, AI-generated content, and constant algorithm updates, I've been wondering whether SEO still offers the same return on investment as it used to.

Some businesses seem to be shifting their focus toward social media, paid ads, or AI-driven discovery, while others still rely heavily on organic search for growth.

For those actively working in SEO:

• Are you still seeing strong results from organic search?
• Has your SEO strategy changed over the past year?
• If you were starting a new website today, would SEO still be one of your top priorities?

I'd love to hear what people are experiencing. Is SEO still worth the time and investment in 2026, or is the landscape changing too quickly?

A couple of years ago, AI felt like a competitive advantage. Now, it feels like businesses that aren't using it are starting to fall behind.

I'm seeing AI used for everything from customer support and content creation to data analysis, marketing, and workflow automation. Even small businesses seem to be finding ways to save time and reduce costs with AI tools.

That said, AI isn't perfect. It still needs human oversight, especially for tasks that require creativity, strategy, or critical decision-making.

So I'm curious:

• Is AI now a necessity for businesses, or is it still just a nice-to-have?
• What AI tools have had the biggest impact on your business or workflow?
• Have you seen measurable improvements, or is the hype bigger than the results?

I'd love to hear real experiences rather than just success stories.

With AI search, AI-generated content, and constant algorithm updates, I've been wondering whether SEO still offers the same return on investment as it used to.

Some businesses seem to be shifting their focus toward social media, paid ads, or AI-driven discovery, while others still rely heavily on organic search for growth.

For those actively working in SEO:

• Are you still seeing strong results from organic search?
• Has your SEO strategy changed over the past year?
• If you were starting a new website today, would SEO still be one of your top priorities?

I'd love to hear what people are experiencing. Is SEO still worth the time and investment in 2026, or is the landscape changing too quickly?

A few years ago, AI in finance felt like something only large banks and investment firms could afford.

Now, it's everywhere.

Businesses are using AI for forecasting, fraud detection, budgeting, invoice processing, and even financial planning. At the same time, individuals are using AI to track spending, analyze investments, and make financial decisions.

But here's what I'm wondering...

Is AI actually making finance better, or are we becoming too reliant on algorithms to make decisions that still require human judgment?

For those working in finance or running a business:

* How has AI changed your workflow?
* What's one task AI handles better than people?
* Where do you think humans should always have the final say?

I'm interested in hearing real experiences—not just the success stories, but the challenges too.

One thing I've noticed about AI-generated content is that the best results usually come when AI is used as an assistant—not the author.

I think this has an interesting implication for GEO/AIO.

If everyone's publishing AI-generated content with little human input, it all starts to sound the same. That makes it harder for AI search engines to identify content that's genuinely useful or worth citing.

The content that seems most likely to stand out is the kind that combines:

• Original insights or first-hand experience.
• Clear structure and factual accuracy.
• Human editing instead of one-click publishing.

Maybe GEO isn't about creating more AI content. Maybe it's about creating content that AI systems actually trust enough to reference.

What do you think?

Are AI-powered search engines getting better at distinguishing genuinely helpful content from generic AI-written content, or is it still too early to tell?

There's a lot of debate about AI-generated content and SEO. While AI can save time, I don't think it should replace human expertise—especially for topics that require accuracy, such as health, legal, or financial content.

My approach is simple:

• Research first. Understand the topic and search intent before using AI.
• Add personal insights. AI can draft content, but your experience and opinions make it valuable.
• Edit for your audience. Review the tone, clarity, and relevance before publishing.
• Use visuals. Infographics, images, and strong captions can improve engagement and help content stand out.

I see AI as a tool that helps streamline content creation, not a replacement for human knowledge and creativity.

What's your experience with AI-assisted content? Has it helped your SEO results, or have you noticed any drawbacks?

With AI-generated content becoming the norm, I'm starting to wonder how effective traditional SEO tactics still are.

Things like keyword optimization, backlink building, and content updates still matter, but they don't seem to have the same impact they once did.

It feels like search engines are putting more emphasis on content quality, user intent, real-world experience, and topical authority.

For those actively doing SEO in 2026:

Which traditional SEO tactics are still working for you, and which ones have become less effective?

I'd love to hear what's actually driving results these days.

now I'm completely new to this honestly so take that into account

I feel like paying or free customers are almost always coming in with some feature request, bug report, Security Overview PDF request, etc.

and it feels like whoever yells the most, the loudest, gets responded the fastest ahead of everyone else in the queue

I don't know why I fall for this...

but I have a feeling that I need a systemic way of addressing this or else I'd get eaten up by customer support before I'm able to invest more time into development & distribution

has anyone found a reliable and systematic way to address this to put things in order and not have to deal with chaos?

are you able to navigate your tickets in a way that is sustainable and would not eat the whole chunk of your time and leave you burnt out?

People keep saying AI gives small businesses a chance to compete with the big players.

I'm not sure it's that simple.

Yes, AI makes it easier to create content, automate support, analyze data, and get more done with a small team. But the same tools are available to large companies—with bigger budgets, more data, and entire teams dedicated to using them.

So is AI really leveling the playing field, or is it just raising the bar for everyone?

For those running a small business:

• Has AI actually given you a competitive edge?
• Or do you feel you're just trying to keep up because everyone else is using it?
• What's been your biggest win (or biggest disappointment) with AI so far?

Curious to hear some real-world experiences rather than the usual AI hype.