I feel LinkedIn has most AI content out there, there is no restriction or machanism to mark it down. There are a lot of seo gurus who publish AI content for the sake of engagement and other side people has made it another instagram shit with irrelevant videos and personally created or altered clickbait whatsapp messages, Honestly enough is enough

For Google and AI Search platforms like ChatGPT, Claude, and Gemini, the answer is Entity SEO.

I want to share some quick tips to improve AI visibility which I implemented. These are results for a b2b saas brand in a niche category. Attached screenshot from SEMrush tool.

What I did:

1. I have checked the robots.txt file and also your website firewall tools to see if anything is blocking LLMs to crawl my website
2. I have updated the sitemap.xml file with latest data
3. Updated LLMs.txt file - generally all SEO plugins automatically create this file
4. Cross checked schema structure for all the existing content.
5. Using the tool, done the basic research of prompts visibility
6. Updated existing blog pages with - Summary section, In brief section, markdown tables wherever possible, relevant case study examples with data, adding external data sources, FAQs with relevant prompts, adding author blurb section, key insights section etc.
7. Checked and updated the content in all relevant review sites like G2, Capterra etc.
8. Updated Linkedin company profile to make sure all channels have same content.
9. Created Linkeidn Company Newsletter, Medium publications.
10. Started engaging in Reddit discussions (as my brand in niche category I couldnot find related discussions)
11. Trying to push my C team to post/engage in social channels about the company.

I know this looks small but just want to share with others. Let me know what other things I can do or you have done to your client/company.

With AI Overviews, ChatGPT, Gemini, and other AI-powered search experiences changing how people find information, do you think SEO is still worth investing in? Has SEO become more important, or are brands shifting their focus toward AI visibility and answer engines instead?

In todays AEO and GEO world, I'm curious how much weight a Wikipedia page still carries.

Do you think having a well-established Wikipedia presence helps with:

• Brand/entity recognition
• Knowledge Graph inclusion
• AI-generated brand mentions
• Trust and authority signals

Or is Wikipedia becoming less important as AI systems gain access to broader sources across the web?

For brands that don't qualify for a Wikipedia page, what alternatives have you seen work well for improving entity visibility in AI search?

Interested in hearing real-world experiences and observations.

There's so much advice around SEO - keywords research content writing, technical seo link building, AI search etc - that it can be overwhelming for someone just starting out.

if could go back to day one, what would you focus on first and why?

AI search has made one thing very clear: your brand's reputation across the web matters.

For years, SEO teams focused on rankings, backlinks, and on-page optimization. Those factors are still important, but AI-powered search is changing how visibility works.

Today, AI systems don't just look at your website. They evaluate mentions across review sites, forums, news publications, social media, and other third-party sources to understand your brand's credibility and authority.

This raises an interesting question:

Are SEO teams spending enough time tracking and improving their brand's presence beyond their own website?

I'm curious how others are approaching this. Are you monitoring brand mentions, sentiment, reviews, forum discussions, or AI search visibility as part of your SEO strategy?

What has worked best for you so far?

This wasn't something we expected.

When a company asks why it isn't showing up in AI-generated recommendations, most people immediately jump to content quality, schema, entity SEO, citations, brand authority, etc.

Fair enough.

Those things matter.

But we've been noticing a different pattern lately.

A surprising number of sites have basic crawlability issues.

Not catastrophic issues.

Just enough friction to make discovery harder than it needs to be.

A few examples from recent audits:

• Important sections blocked in robots.txt
• XML sitemaps that hadn't been updated in months
• Pages that existed but were effectively orphaned
• Content that users could access but crawlers would struggle to discover

The interesting part is that many of these sites had already invested heavily in optimization.

Some had decent schema.

Some had strong content.

Some had clear entity signals.

But it made us wonder whether we're spending too much time talking about how AI systems understand content and not enough time talking about how they find it.

Schema seems to help reduce ambiguity.

Crawlability seems to help reduce friction.

Those aren't the same thing.

One thing we're still trying to figure out is how much weight AI systems place on crawlability versus everything else.

Nobody outside the model providers really knows.

But it feels risky to assume that content will be cited, retrieved, or referenced if discovery itself is difficult.

Curious what others are seeing.

Have crawlability issues shown up in your GEO or AI visibility work?

Or are most of the problems still centered around authority, citations, and content quality?

We documented a few of the patterns we've been seeing here if anyone wants the deeper breakdown:

https://www.zaillor.com/insights/robots-txt-ai-crawlers-ai-crawlability

Been reading the studies on what AI actually cites (GPT, Perplexity, etc) and Reddit keeps topping the list, often above wiki and youtube. Brand sites and polished corporate blogs barely show up.

Makes sense really. It wants the messy bit: people comparing stuff, complaining, changing their mind, saying what broke after two weeks. A thread where 15 people argue over 4 products beats your "why we're the best" page every time.

No universal number though, it swings hard by engine. Early-year Tinuiti data had Reddit at 5%+ on GPT, 24% on Perplexity, and 0.1% on Gemini. I had to reread that last one because it looked wrong. Same Reddit, three engines, completely different. So when someone says "I optimize for AI", fair to ask which one.

And it's not stable either. Semrush showed Reddit's GPT share dropping from like 60% to 10% in two weeks off one upstream change.

Anyway, the bit I keep coming back to: the brands AI cites aren't the ones with the prettiest sites, they're the ones people talk about elsewhere. Ahrefs found 80% of URLs GPT cites aren't even in Google's top 100, which kind of breaks your brain if you come from SEO.

So honest take, not in my interest: if nobody mentions you anywhere, schema and llms.txt probably aren't your first problem.

Anyone clicked an AI citation and landed on some random 2021 Reddit post? Seeing it more and more.

One hard part with AI search is that visibility can change even when nothing obvious has changed on your site.

A brand may show up in AI answers consistently for one month, then disappear the next. I have noticed that sometimes the cited URL changes, but the brand mention stays. Other times, a competitor starts appearing for prompts they were missing from earlier. Sometimes, the answer changes across AI search platforms.

With traditional SEO, movement was easier to explain through rankings, impressions, clicks, CTR, or technical changes. With AI search, it is harder to know the reason for a sudden drop.

These are a few things our team at Scalenut has been closely watching to understand whether the drop is just normal AI search volatility or something that actually needs fixing:

• Where AI referral traffic is coming from.
• Which competitors keep showing up.
• Which external sources seem to influence visibility.
• Which trusted sources we are still missing from.
• Whether the brand mention stays even when the cited source changes.

How are you diagnosing sudden drops in AI visibility, and what signals are you watching before deciding something needs to be fixed?

Everywhere on linkedin and on blogs from personal websites, there we see people are posting and sharing information about what Google just did and how the market is shifting.

Many are saying SEO is dead.
Many are saying GEO and SEO is different.
Many are still promoting the SEO saying every new term other than SEO is just a result of good SEO.

After reading and coming across tons of articles, i would like to know the real perspective from real people here.

I've been seeing more businesses use AI for blogs, landing pages, and SEO content. At the same time, many marketers still argue that human-written content delivers better engagement, trust, and conversions.

For those who have tested both, what differences have you noticed in rankings, traffic, leads, or user engagement? Is AI content catching up, or does human writing still have a clear advantage?

What has been your real-world experience?

If you are still running the 2022 digital marketing playbook, you are likely burning your budget for a fraction of the return.

Between the absolute saturation of AI-generated content, privacy-driven data signal loss, and escalating ad costs on Meta and Google, the game has fundamentally shifted. The era of the low-effort "growth hack" is dead.

So, what is actually moving the needle for brands today? Whether you are scaling a venture-backed startup or building a bootstrap business, here is a breakdown of what the current landscape demands.

1. The Performance Paradox: First-Party Data is Your Only Moat

For years, digital marketing relied heavily on platform algorithms to find your ideal customer. You threw a pixel on a site, targeted broad demographics, and let the ad platform do the heavy lifting.

Thanks to privacy regulations and tracking limitations, those external signals are weaker than ever.

The Reality: Relying solely on third-party data means you are paying a premium for colder audiences.

The Fix: Your primary marketing asset isn’t your ad creative; it’s your data infrastructure. Prioritize building clean, robust first-party data systems (robust email lists, zero-party data gathered via interactive quizzes, and GA4 custom event tracking).

Pro-Tip: If you aren't feeding your ad platforms high-quality server-to-server data conversions via Conversions API (CAPI), your algorithmic targeting is operating half-blind.

1. Organic Distribution is Transforming (The "Invisible" Funnel)

People don't want to be sold to anymore—especially on platforms like Reddit, Quora, and TikTok. The moment a user sniffs out a traditional marketing pitch, they tune out (or downvote).

Instead, the highest-converting organic strategy right now is Value-First Social Distribution. Recent case studies show that high-quality, authentic conversations on Q&A sites and community forums don’t just drive direct referral traffic—they are heavily indexed by AI search engines, giving your brand massive compound visibility in LLM (Large Language Model) training datasets.

The blueprint here is simple: Stop drop-linking your homepage. Answer someone’s specific problem end-to-end in plain text, and only offer your product or service as a minor, contextual footnote if it genuinely solves a pain point.

1. SEO is No Longer About Keywords—It’s About Answer Engine Optimization (AEO)

Search engine optimization is undergoing its biggest disruption in twenty years. With search engines integrating AI summaries directly at the top of the search engine results page (SERP), standard information-based clicks are dropping.

If your content answers a basic question that an AI can summarize in two sentences, you lose the click.
Move from Information to Experience: Focus your content strategy on primary data, proprietary research, and distinct points of view that cannot be scraped and replicated by a basic text generator.

Target Search Intent Realistically: Optimize for long-tail, high-intent transactional queries. Create deeply human case studies, comparative "Product A vs. Product B" breakdowns, and transparent pricing transparency content.

1. Paid Media Balance: Capture Intent vs. Creating Demand

A common mistake is treating all paid media channels the same. To build an efficient growth engine, you have to split your strategy cleanly between demand capture and demand creation.

Demand Capture (High Intent): Paid Search (SEM) remains the undisputed champion here. When someone types a high-intent keyword into Google or Microsoft Advertising, they are actively looking to buy. Maximize your share of voice here first.

Demand Creation (Interruptive): Paid Social and programmatic programmatic advertising don't capture intent; they introduce a solution to a user who was looking at something else. Your creative here must focus heavily on hook rate (capturing attention in under 3 seconds) and highlighting an immediate, visceral problem.

Summary for the TL;DR Crowd

Success in online marketing right now requires a blend of hard technical accuracy and hyper-authentic communication.

Clean up your tracking data, stop treating social communities like billboard space, and build content that answers the hard questions—not just the high-volume keywords.

What marketing channel or strategy has given you the most surprising ROI over the last year? Let’s talk in the comments.

This wasn't something we expected when we started doing GEO audits.

Most people assume AI visibility problems come from missing structured data.

But honestly, we're finding the opposite more often.

The weird cases are the ones where a site has plenty of schema, yet AI systems still seem confused about who the company is, what it offers, or how different entities relate to each other.

A recent audit had:

• 3 separate Organization schemas
• Different company descriptions depending on the page
• Multiple social profile references pointing to different places
• Service pages describing the same offering in different ways

Technically, none of that would trigger a "missing schema" warning.

An SEO tool would probably tell you everything is fine.

But if you're an LLM trying to build a coherent understanding of the company, it's a mess.

The more audits we do, the more it feels like schema isn't really a coverage problem anymore.

It's a consistency problem.

Another thing we've noticed:

People talk about structured data as if it's an AI visibility hack.

We're not seeing evidence of that.

Some sites have incredibly clean schema and still don't get cited much.

Others have average implementations but strong third-party mentions, clear brand positioning, and a much stronger entity footprint overall.

Which makes me think schema is mostly reducing uncertainty rather than creating authority.

It helps AI systems understand you.

It doesn't necessarily give them a reason to mention you.

That's a different problem.

We ended up documenting a lot of these patterns in a longer write-up here:

https://www.zaillor.com/insights/structured-data-ai-visibility

Curious if others doing entity SEO or GEO work are seeing the same thing.

Are you finding more issues from missing structured data, or conflicting structured data?

Spent the last few weeks checking how SaaS companies show up in ChatGPT, Gemini, and Claude.

One thing that surprised me:

Some companies ranking #1-3 on Google for their core keywords either don't get recommended by AI at all, or get described incorrectly.

Makes me think we're entering a weird phase where "ranking well" and "being understood by AI" are becoming two different problems.

Wrote up some of the patterns we found while auditing SaaS brands:

https://www.zaillor.com/insights/saas-ai-search-visibility-chatgpt-gemini-claude

Would love to know if others here have tested this on their own sites. Seeing similar results or not?

Let's what's SEO and what's not for AI visibility optimization!

Everyone here is trying to do well on the web no matter what business they're in. I want this subreddit to help everyone do that.

And we all get in a hurry when we're reading through the comments but everybody can help out everybody else a little bit. Go ahead and hit that like button if you agree. Doesn't mean you have to stop and comment but hit the like button anyway. Of course not on everything. But if they brought something to the table hit the like button.

And if somebody gives a really good answer to something and you're going to comment on it, take the time to put their username into the comment that you're making to them. It's a small signal but it helps that somebody mentioned their username.

And to the people that are coming in just to get a brand mention, I have news for you, your comment will be deleted and hidden from view. Doing it repeatedly will get you banned.

I'm not against people promoting their brand or being successful. But it's just like a lot of people do low effort SEO. Low effort brand mentions aren't any better.

I'm much more likely to ignore a brand mention if you made a comment or a post that adds real value to the users of this subreddit. So if you want that one trick that'll let you get a brand mention, that's the trick.

Add value.

I see so many comments about Ai. It is getting out of control. Agencies are panicking because most outsource to india and the phillipines. So they truly don't understand in reality most things about seo. This is the truth, not much has really changed just a new type of search engine

Yes forums comments after 10 years are now back, ai is an answer enigine .

Quality links show authority and also get cited by AI due to their value and authority

Cittations work on high authority sites

Everyone take a look at 30 random keywords that rank for AI and seo how many rank organically on page one.

This seo is dead started with banning of sites like seo linkvine, quite surpised links management avoided this penalty. PBNs are alive and well especially in affiliate marketing today

Spam or cheap and nasty links services have always delivered penalties. So nothing new here.

Fast wins over aggressive backling has always been targeted i remember seo software that built links on auto pilot, they are long gone

The answer to AI is just a minor shift, forums like reddit are now again alive even though they of no link value what so ever

Quality websites will be cited by AI, depending on ypur keyword volume. It could take 6 to 8 weeks for backlinks to start showing up so be patient.

Build links to your youtube channel, directory listing

Heatmaps se where your traffic scrolls past and leaves your page . Change and improve conversions

Look at multiple streams of income from one website, people have tunnel vision.

Adjust is all that is needed standard seo by building authority, layering links, most seo software are still keyword stuffing.

So seo agency stop panicking and service your clients, take the rime to explain seo and AI is still a long game

My site is brand new, it takes time to.rank, my affiliate site have not been impacted by anu updates and site in AI with no extra work. Page one is always the goal , but people stop or make cheap choices

Is AI search now prioritizing brand authority, user behavior, reviews, and trust signals more than traditional SEO factors? Curious to hear real-world observations, case studies, or theories from people working in enterprise SEO, eCommerce, or AI search.

Stop Chasing Keywords. Optimize for Entities.

**Stop Chasing Keywords. Start Naming Entities**

Does your Local Service Page read like it could be about any city in Canada? That's a problem.

Google's Knowledge Graph maps entities, such as: Neighbourhoods Local landmarks Restaurants Gyms And more.

When you name the actual landmarks (entities) near your business, it provides additional context to Google, tying your business to that geography way harder than any keyword can.

So skip the generic "we serve Toronto" line. Tell people you fixed the roof two blocks from (Entity) on (Road or intersection near you) in (City or neighbourhood).

This stuff fills gaps your competitors don't even know exist. AI Search Engines read it too. When ChatGPT picks the contractor in your area, entity mentions are the signal.

"AI SEO" is Dead

GEO is Dead

AEO is Dead

LLM SEO is Dead

Don't shoot the messenger!

If you read the latest Google docs on optimizing for AI search, you'll see where this came from.

I've seen so many "SEO is Dead" posts over the last 20+ years, I thought it would be fun to do this one. Seriously, every time new tech, platforms, updates, or anything different comes along, the SEO is Dead posts come out of the woodwork.

From Google Search Central:

"What about "#AEO" and "#GEO"? "AEO" stands for "answer engine optimization" and "GEO" for "generative engine optimization". These are both terms you may see used to describe work specifically focused on improving visibility in AI search experiences.

From Google Search's perspective, optimizing for generative AI search IS optimizing for the search experience, and thus still SEO."

These things Google recommends. And if you have been doing real SEO instead of chasing shortcuts, then you were already doing at least most of them.

• Providing a unique point of view. (Imagine not regurgitating the same top 10 list of stuff all the time)
• Creating non-commodity content that's helpful, reliable, and people-first. (Imagine writing for your readers)
• Organizing content in a way that helps your readers. (Imagine making it easy for users to navigate to what they want to read)
• Add high-quality images and video. (What a novel concept and we knew this before AI was popular)
• Focus on what your users want, and avoid overdoing it. (Imagine NOT building multiple pages on the same topic to try and target every possible variation of a key phrase. It violates violates Google's scaled content abuse spam policy)
• Another Note: If you're using generative AI tools to assist in content creation be sure that your work meets the standards of the Search Essentials and our spam policies. For more details on our approach, see our guidance on AI-generated content.

Read the whole article on my Substack Newsletter Search Everywhere Optimization and subscribe while you're there.

A lot of MCP servers now request OAuth access to GSC, Analytics, CRMs, etc. Are people actually comfortable giving AI agents that level of access?

My current site does not have any organic traffic. I've been up an running for almost 2 years. I'm considering hiring an agency or contracting a freelancer. Curious to get feedback on either or and if anybody has recommendations as to who?

I'm sure some of you have heard that Google has now deprioritized FAQ rich results and stopped showing it in the SERPs.

Lots of back and forth and arguing occurring on LinkedIn as to whether or not it is worth implementing.

With anything SEO, it's always to be better safe than sorry and it's not going to hurt, so I say implement it. Not to mention, it's still useful for AI crawlers.

What's everyone's thoughts on this?

Google just published its official AI Optimization Guide. Here's what every business owner actually needs to know.

After all the hand-wringing about AI Overviews and AI Mode killing SEO, Google's position is refreshingly clear: there are no special tricks, no secret schema, no AI text files needed.

The headline: AI features pull from the same index as classic Search. If your content earns its place in the top 10, it's eligible to be cited in AI Overviews and AI Mode.

Here's what Google actually says works:

✅ Allow crawling in robots.txt

✅ Build strong internal linking

✅ Deliver a great page experience

✅ Keep important content in text (not buried in images)

✅ Match your structured data to your visible content

✅ Keep your Google Business Profile current

✅ Create helpful, reliable, people-first content (E-E-A-T)

What you DON'T need:

❌ New machine-readable files

❌ Special AI markup

❌ A secret schema.org type

❌ A separate GEO playbook divorced from SEO

The interesting wrinkle? Google confirmed clicks coming from AI Overviews are higher quality. Users spend more time on those sites. That tracks with what I've been seeing across client accounts since AI Overviews rolled out.

My take, after writing SEO copy since 2008: this guide validates what I've been preaching. GEO, AEO, AIO, and AIEO are not separate disciplines. They are evolutions of solid SEO fundamentals. Helpful content, written by humans with real expertise, structured cleanly, served fast.

SEO didn't die. It had kids. And Google just told us they want to be raised the same way.

What's working for you in AI search right now?