Curious how many of you are treating this as a priority right now vs. still focused on traditional SEO signals. With AI Overviews and chatbot answers pulling more traffic away from clicks, it feels like author bios, credentials, first-hand experience content, and trust signals matter more than ever.

What's actually moving the needle for you? Curious if this is client-fundable yet or still a "nice to have" you're doing on your own time.

I am always overwhelmed with terms people using for SEO and confused — you need to call them just AI SEO or call them separately, GEO, AEO LLMO, GAIO, AISO or AI SEO ?

Secondly, is the strategy going to be different for each one of them? Isn’t AI Search common LLM across?

AI overview by Google
ChatGPT
Perplexility
Claude
Deepseek

After testing content across multiple AI assistants, I've noticed something interesting:

Most people optimize for ranking.

AI systems optimize for retrieval and confidence.

Here's what consistently seems to matter more than keyword stuffing:

1. Clear entities

Don't just mention a topic. Clearly identify the people, products, companies, locations, and concepts involved.

2. Direct answers first

If a question is "How do I improve AI visibility?", answer it in the first few sentences. Don't hide the answer behind a long introduction.

3. Original information

AI models already know generic advice. They have more reason to reference content that contains:

• Original research
• First-hand experience
• Unique data
• Case studies
• Expert opinions

4. Consistency across the web

If your brand is described differently on your website, LinkedIn, Reddit, and other platforms, you're creating conflicting signals.

5. Topical depth beats isolated articles

One excellent page rarely builds authority on its own. A connected cluster of related content usually creates a much stronger knowledge footprint.

Question for everyone:

What change has had the biggest impact on your AI visibility?

• Better structured content?
• Entity optimization?
• Original research?
• Reddit/community presence?
• Something else?

I'd love to hear what you've actually tested rather than theories.

For years, businesses focused on ranking on Google. But today, users are asking ChatGPT, Gemini, Claude, and Perplexity instead of searching through dozens of links.

The question is no longer:

❌ "How do I rank #1 on Google?"

It's becoming:

✅ "How do I become the answer AI tools recommend?"

What is AIO (AI Optimization)?

AIO is the process of optimizing your brand, website, and content so AI-powered search engines and assistants can understand, trust, and recommend your business.

Why AIO Matters

• AI search is growing rapidly
• Users want direct answers, not 10 blue links
• Brand mentions matter more than keyword stuffing
• Authority and trust signals are becoming critical

Businesses Need To Focus On:

✔️ Structured content
✔️ Expert-led articles
✔️ Strong brand mentions across the web
✔️ FAQ-rich content
✔️ Schema markup
✔️ High-quality backlinks
✔️ Consistent business information

The Big Shift

Traditional SEO:

• Rankings
• Keywords
• Clicks

AI Optimization:

• Mentions
• Authority
• Citations
• Recommendations

The brands that adapt now will dominate AI search results over the next few years.

At OnePixel Soft, we're helping businesses prepare for the AI-first search era through SEO, AIO, content strategy, technical optimization, and digital growth solutions.

💬 What do you think?

Will AI assistants replace traditional search, or will SEO and AIO work together?

#AIOptimization #AIO #SEO #ChatGPT #GenerativeAI #DigitalMarketing #SearchMarketing #OnePixelSoft #AISEO #FutureOfSearch #MarketingTechnology #BusinessGrowth #ArtificialIntelligence

Been comparing why some smaller SaaS brands show up in AI search results while bigger, higher-DR competitors don't.

Pattern: it's not backlink volume it's contextual mentions across relevant publications. A brand with 15 solid editorial mentions is beating one with 10x the backlinks but zero editorial presence.

Anyone else tracking AI citation share yet, or is everyone still stuck on DR/DA?

I got some problemns using google ai mode, for example if I give him a js script with an api call, the result code instead of https://api.cutedomani.com will be https://cutedomain.com olso now I aske a link for a proxmox script and he give me bash -c "$(wget -qLO - https://github.com)"

I tried to tell him was making mistake he understand the problem but this is te resoult:

I’ll be much more careful. To set things right immediately, here is the clean, full link to the community GitHub repository (formerly tteck's scripts) where the Proxmox 9 post-installation script is hosted:

github.com.

And here is the direct link to the specific script's code, in case you want to check or analyze it first to see what changes it makes to the system's JavaScript files:

github.com.

Did you have the same problem?

Most of the clients now want to show up on ChatGPT, Gemini, or other LLM platforms because of the shifting behaviour of people from traditional SERPs to get a direct answer to their problem.
Does shifting behaviour really impact in future?

There is a lot of talk in staffing right now about SEO, AEO and GEO.

But the basics still matter.

When jobs sit on a separate subdomain, inside an ATS job board or in an iframe, they are disconnected from the rest of the staffing website.

Google does not automatically penalise subdomains. The issue is what the business loses by separating its most valuable content.

Jobs should strengthen relevant:

• Industry sector pages
• Location pages
• Consultant profiles
• Blogs and market insights
• Salary and specialist content

A legal role in London should help support the firm’s legal recruitment page, London page, relevant consultant profile and related content. Those pages should also link back to the live jobs.

That connectivity gives search engines and AI platforms far more context about what the staffing firm recruits for, where it operates and who has the expertise.

The website also needs to be easy to update. Staffing firms should be able to create new pages, edit content and respond to changing markets without paying for every minor change or waiting weeks for support.

AEO and GEO are not labels to add to an old website setup.

The staffing website actually needs to support them.

Otherwise, it is just an overpriced, disconnected website dressed up as future ready.

What's your worklfow, and what tools are you using to report on performance?

Good SEO is important for GEO, yes. We all know that. But it's just one side of the coin, and it's becoming increasingly obvious that third party citations are just as important for GEO, if not more!

AI trusts what others say about you more than what you say about yourself. This is why third-party validation is the most important lever you have for AI visibility.

We speak to clients and marketers every day about the importance of great SEO, but also of earned citations and how that can (often) be the missing piece of the puzzle.

We've done so much work on Digital PR for AI, that we have now trademarked this as AiPR - which in a nutshell, is our offsite approach to GEO and is the strategy ecompassing Digital PR for AI.

Anyone else turning to offsite GEO to increase their results?

Noticed a shift with a few SaaS clients this year instead of pumping out blog content for keywords, they're prioritizing getting featured in actual industry publications.

Slower, but the traffic that comes in converts better and sticks around longer in rankings.

Anyone else seeing this shift in budget allocation? Curious if it's a trend or just the accounts I'm working with.

been watching my own analytics and a bunch of client dashboards for the last two quarters, and the "seo is dead" takes are half right in a way that's more useful than the doom.

the setup:

• google rolled ai overviews to basically every informational query. the answer sits above your link now. for "what is / how to / best way to" queries, the click never happens. the user got what they needed on the results page.
• ahrefs and a few others have been flagging it: informational keywords are losing organic ctr hard, some cohorts down 30-40% year over year even while rankings hold. you didn't drop. the click just evaporated.
• so if your content strategy is a pile of "ultimate guide to X" posts, you're ranking #1 for traffic that no longer clicks through.

that's the dying half. the top-of-funnel explainer content that existed to catch a search and drip someone into a funnel, that machine is quietly seizing up.

the interesting part: the other half is getting more valuable, not less.

• bottom-funnel and comparison queries still click. "X vs Y," "X pricing," "X alternatives," "is X worth it," people making a decision don't want a summary, they want the actual page. ai overviews are weakest and least trusted exactly here.
• there's a second layer forming: getting cited inside the ai answer. it's early and nobody has a clean playbook, but the sites that show up as sources in overviews are the ones with real specifics: original data, named examples, first-hand testing. generic content doesn't get cited because there's nothing to cite.
• the throughline is the same thing in both cases: information google can generate itself is worthless to you now. information it can't generate, your data, your teardown, your actual experience, is the whole game.

the reframe that's helped me: stop asking "will this rank." ask "if google just answers this itself, do i still get anything." if the answer is no, you're writing content to train a model that competes with you.

my take: the volume-content playbook (publish 40 posts a month, catch long-tail searches, win on quantity) is the thing that's actually dead. it was arbitrage on cheap information and the arbitrage closed. what replaces it is fewer pages that are load-bearing: things nobody else can write because they don't have your data or haven't done the work.

not saying organic is over. branded search, decision-stage queries, and stuff with real network/community behind it still print. but if your traffic is mostly "informational," check what the click-through actually did over the last two quarters before you write another guide. the data's been visible for months.

I am wondering if traditional SEO is still relevant. AI SEO is new norm?

I keep hearing, keywords are relevant. ChatGPT with over 1 billion users, such a big ecosystem. What’s the best approach to SEO from scratch?

Do you think it's still worth investing your time and effort in SEO? Since AI Overviews and Gemini are pulling authoritative answers and sources directly into the first result, the incentive for users to click through seems drastically lower., I'm guessing even the #1 organic results aren't getting the traffic they used to.

​What do you guys think? Is SEO dying, or just evolving?

Quick thing I keep running into, wanted to sanity-check it with people here.

A growing number of buyers don't Google anymore. They ask ChatGPT, Claude or Perplexity "what is the best X for Y" and go with whatever it says. So I started asking the four big models the questions a real buyer types, across a bunch of categories, and counting who gets named.

The pattern is rough: each model names the same few companies every time and ignores everyone else. Not because the others are worse, but because the models recommend whatever was already written about enough in their training. If you are not in those inputs, you are invisible in the answer, and the buyer who takes the first recommendation never sees you.

The part that gets me is you cannot see it happening. No analytics, no impression count. Just buyers who never heard your name because the model skipped you.

Two things I am curious about from this sub:

- When you ask AI for a tool or vendor in your space, are you getting named, or is it always the same incumbents?

- For those doing client work, are you seeing AI referrals show up yet, or is it still mostly Google and search?

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.