The old game was largely about matching queries to documents. The new game is about proving problem-solution fit across the network.

Google’s desperate plea to keep being in power.

It made me sick to my stomach.

They kept pretending May 2026 and June 2026 that they own the town…. when in fact… they truly don’t!

They used to be the leaders in the olden search days.

However, in our GEO Academy you saw that 2 Billion people search on ChatGPT right now.

Google keeps saying they have 2.5 Billion people searching via Google AI Overviews, which is fake. When users go to ChatGPT, they need AI recommendations! That’s what they need and what they want and what they trust. But, they don’t go to Gemini to ask for those recommendations. Nope. And the only reason why 2.5 billion to that is just a legacy of the old fact that billions of people were using Google Search. But they expect to find Google Search. They weren’t looking for AIO. The needed Search. Google has just done a hack to force those numbers to grow and to make it look like they’re dominating ChatGPT…. when in fact… they are not.

After lying through their teeth for years about what SEO is and what webmasters need to do for SEO, they are now trying to do the same in the field of GEO.

They have stated in their official documents that nothing can be done for GEO, because GEO is just SEO….which if you’ve been following my GEO Academy until now, you 100% know it’s not true.

They’re trying to make themselves look like the experts and authority on GEO!

They have no right to talk about it, because Perplexity and ChatGPT search only on Bing for the retrieval from live search. They also don’t control Bing. They don’t control Perplexity or ChatGPT. They can’t make such claims.

They tried to make everyone believe they are the authority over GEO. They were in SEO, but that will no longer be the case in GEO, because their monopoly doesn’t have anything to do with this new field.

Deep down: they know it. And they are afraid.

That’s why these are desprate pleas to try and control the market.

If a buyer asks an AI system for a recommended law firm in San Francisco for a complex litigation, technology, IP, competition, or investigations issue, the page does not make the decision any easier.

It lists services, but it does not position them.

It mentions sectors, but it does not define the buyer.

It has proof, but the proof is not tightly attached to the office, the lawyers, the practice areas or the problems being solved.

It has recognitions, but it does not explain why those recognitions matter to the person choosing a firm.

It has a key contact, but no strong commercial route.

And there is almost no comparison value.

No “when to choose us”.

No “what we are strongest at”.

No “who we are best suited for”.

No “how we differ from other firms”.

No decision criteria.

No problem-led sections.

No clear recommendation argument.

This matters because AI systems do not just need to retrieve pages.

They need to reduce uncertainty.

They need to understand:

What category are you in?

Who exactly do you serve?

What problems do you solve?

What proof supports that?

How are you different?

Can you be compared?

Can you be trusted?

Can you be safely recommended?

This page ranks, but AI doesn’t recommend the business.

A page can rank in Google and still fail as an AI recommendation candidate.

ChatGPT needs to find a page ranking in top 10 on Bing… but that is only part of RETRIEVAL… the bare minimum to have the page “found” by ChatGPT.

Out of 10 pages that ChatGPT finds, ChatGPT needs to decide if it’s going to recommend that page.

You do the RETRIEVAL part through great SEO, focus pages, web authority, EEAT, etc. Great holistic SEO will get you there.

So, without SEO you don’t even have a chance. Sometimes, you might do only with Social Media (especially by doing good entity and freshness signals — we’ve done this for clients). But generally, and for the long-term, you’ll need SEO + Social Media.

But Retrieval alone is not enough to PUSH YOU into the recommendations.

Writing well enough for GEO does the rest of the work.

• freshness
• entities
• EEAT (especially lived experience and proof of expertise)
• clear formatting
• the TLDR made in the beginning of the article!
• comparisons, pros and cons and everything else that can signal it’s a great fit (fitness) for what the client was asking ChatGPT about)

Fame – GEO on all places of the web

Fitness – lots of AEO and very specific and original content writing (possible through NLM AI)

Rock’n’Roll – Blogging, SEO and Social Media, with very fresh and very entity-oriented signals.

• training layer
• personalization layer
• search results layer

These are the things that will influence the recommendations you are given by ChatGPT.

This is also how the recommendations will reach your own clients, and what you need to think about. The search results also need to prove fitness… is the page found in TOP 10 a good fit for what the client needs? Is it well made for GEO? Does it satisfy all requirements (especially Entity Data and EEAT)?

they are fake.

that’s it.

Nobody can tell exactly what prompts people use in order to get recommendations from ChatGPT. Everyone asks a certain thing in a certain way. 2 Billion Humans ALL search differently.

It’s GENERATIVE engine optimization… dude… not static engine optimization.

The olden SEO was static and info on websites rarely changed.

• nobody know the queries when searching on ChatGPT. no such thing as “search volume”
• there is no web authority difference matched with an optimization score to find out the “competition strength on search engines”
• AI Visibility monitors pretend these conditions from old SEO are still true in GEO. Which makes it all fake. They try to measure something that doesn’t even exist.

Data for tracking GEO success can’t be done through these AI Brand Visibility metrics

• prompts always change
• each prompt generates other results (GENERATIVE; again: generative!!!)
• there is a lot of personalization involved. Thinking models “think” about WHO YOU are when making the recommendation so every person on the web is guaranteed a different result
• training data
• search results (BING is most important; Google is secondary; don’t be fooled)

The only real way to track results is to see how many visits you’ve had from ChatGPT, Perplexity, Claude. Go to Google Analytics and check it out! That’s how you’ll find the truth!

And then compare the research and studies data from https://aisq.com/growth/results-we-bring/ the last 2 paragraphs on that page.

the “Start with WHY” types of pages on the internet will completely fail at marketing over the next two years.

For AEO / GEO content needs to start with a TLDR that has many descriptions and entities. Otherwise, ChatGPT, Perplexity, Claude, Google AI Mode won’t recommend you!

Why,

What,

How.

was the old framework many adopted.

Now it’s

TLDR (entity-driven)

Fitness signals – compare and explain why this’d be the best solution for certain someones (ICPs) + give enough reasons to ChatGPT to make the recommendations.

• Pay Human Influencers to recommend your brand
• Make ChatGPT, Perplexity, Google AIO, Claude to recommend your brand

>> that final one will bring back : own sites, own blog, social media marketing requirements and needs, other blogs on the web, digital PR (and announcing press releases)