For decades, the question was simple:
How do I get my practice to appear on Google?
Then came reviews. SEO. Social media. Search campaigns. Websites. Medical directories. And everything that built what we now call digital presence.
But search behavior is changing.
Google no longer just returns a list of links — its AI Overviews and AI Mode experiences generate answers, allow follow-up questions, and connect users with relevant sources and sites.
Google reports that AI Mode already exceeds 1 billion monthly users, and queries made through this experience have more than doubled quarter over quarter since its launch. AI Overviews exceeds 2.5 billion monthly users.
At the same time, tools like ChatGPT Search allow users to ask questions in natural language, retrieve up-to-date information from the web, and receive answers accompanied by sources.
This creates a shift we have not yet fully measured.
The patient may stop asking:
"What doctors are near me?"
and start asking:
"Who is a good specialist for my case, what experience do they have, what options exist, and what should I consider before choosing?"
The difference seems small.
It is not.
In the first scenario, the doctor competes to appear.
In the second, they compete to be selected as an answer.
The traditional search engine works, to put it simply, like an intelligent directory.
The user asks. The search engine returns options. The user compares. Clicks. Reads. Goes back. Searches for something else. And eventually decides.
Generative search introduces another layer.
The system can:
Google describes this evolution precisely: AI Mode allows for conversational follow-up questions and exploring more complex information, while its AI Search experiences incorporate links and original content within responses.
ChatGPT Search follows a similar logic: the query can be reformulated and searched across the web to build an answer with relevant sources.
That is why the old question:
"What position does my page appear in?"
is starting to fall short.
The new question is:
"What information does an artificial intelligence find when it tries to understand who I am?"
They want to solve a problem.
This distinction is fundamental.
A patient does not necessarily think:
"I want to hire a bariatric surgeon."
They think:
"I have gained a lot of weight and nothing is working."
Or:
"Is bariatric surgery right for someone like me?"
Or:
"What is the difference between gastric sleeve and bypass?"
Or:
"What risks should I consider?"
Or:
"What specialist should I consult?"
The search moves from:
product → provider
toward:
problem → understanding → alternatives → decision
And that radically changes how a doctor must build their digital presence.
It is no longer enough to say:
"I am a specialist in X."
You must demonstrate a relationship between:
what the patient asks
and
what the doctor knows how to solve.
It needs context.
A page that only says:
Dr. Juan Pérez
Bariatric Surgeon
Mexico City
may be perfectly correct.
But it offers very little context.
What cases do they work on? What problems do they address? What procedures do they perform? What experience do they have? Where have they published? Where are they mentioned? What institutions recognize them? What patients do they serve? In what city? Do they have an international presence? Are there independent sources that corroborate their trajectory? What information about their practice can be verified?
AI does not receive a magical intuition about the doctor.
It builds a representation from available signals.
And here appears an idea that will be central to this second season:
Digital reputation must no longer only convince the patient. It must be interpretable by the machines that help the patient decide.
For a long time, a doctor could think that their website was the center of their digital presence.
Not anymore.
The authority of a practice can be distributed across:
This does not mean that all mentions have the same value.
It means that the doctor's digital identity is no longer a single page.
It is a network.
And the more coherent that network is, the easier it becomes to build a consistent representation.
Google, for example, is incorporating mechanisms to highlight preferred sources, original content, and highly cited sources within its AI Search experiences.
The direction is clear:
the web does not disappear behind AI. It becomes the material with which AI builds answers.
There is a dangerous simplification around the concept of Google Zero:
"People will no longer visit your site."
Not necessarily.
In fact, Google states that its AI experiences are sending billions of clicks to websites every week.
The change is more interesting.
The site no longer necessarily needs to be:
the first place where research begins.
It can become:
the source that AI consults, cites, and recommends for further exploration.
This changes the role of a medical page.
It should no longer be designed only as a showcase.
It must also function as:
a source.
Imagine two doctors.
Doctor A
Has an impeccable page. Professional photographs. A biography. A list of procedures. A WhatsApp button. All correct.
Doctor B
Has an equally professional page. But also has: own articles; interviews; publications; institutional mentions; responsibly explained cases; clearly described specialties; consistent information across different sites; a documented trajectory; content that answers real patient questions.
When a person asks:
"How to choose a bariatric surgeon for an international patient?"
the second doctor has many more pieces of information to build a representation around.
We are not saying that guarantees appearing in an AI answer.
There is no magic formula.
OpenAI explicitly states that there is no guarantee of a specific position in ChatGPT Search; inclusion depends on relevance and reliability factors, among others.
But we can say something simpler:
a machine needs information to be able to represent you.
This phrase also deserves a warning.
We do not need to fill a website with artificial keywords.
We do not need to write absurd texts like:
"Best bariatric surgeon CDMX bariatric surgeon bariatric surgery best specialist..."
That was bad practice before.
And it still is.
The opportunity lies elsewhere:
OpenAI's own documentation for publishers states that any public site can appear in ChatGPT Search and that, to be discovered and cited, it is important to allow access to OAI-SearchBot when such inclusion is desired.
Technical infrastructure matters.
But so does content.
Here appears one of the less visible problems.
A doctor may have:
one name on their site, another on a directory, a specialty expressed differently on Instagram, an old biography on an association site, an incomplete international profile, an interview that uses a different description, and a procedure page that uses different terminology.
For a human, these small differences may be irrelevant.
For a system trying to determine whether all these references correspond to the same person, they are not necessarily irrelevant.
That is why a modern digital presence strategy needs to take care of:
This may be one of the most interesting transformations.
For years, doctors received the advice:
"You need to create content."
But creating content without strategy can only produce noise.
In the era of generative search, a more useful question is:
What questions should a machine be able to answer about my practice because sufficient and reliable information exists to do so?
That changes the editorial.
One article can explain a condition. Another can explain a procedure. Another can answer a common question. Another can explain which patients are usually candidates. Another can discuss recovery. Another can explain what happens during a first consultation. Another can document the specialist's experience.
The set builds something more valuable than six isolated posts.
It builds:
a knowledge corpus around the practice.
Publishing a lot does not mean having authority.
A doctor can publish 300 posts and still be difficult to verify.
Authority needs structure.
One reference leads to another. A publication confirms a trajectory. An interview provides context. An institution validates an activity. An article demonstrates knowledge. An own page connects the pieces. An international profile expands the representation.
Authority becomes an architecture.
That is why the question is no longer:
"How many posts should we publish?"
and becomes:
"What should someone — human or machine — be able to verify about this practice?"
When the patient lives in another city or country, trust has fewer points of contact.
They do not personally know the doctor. They cannot easily ask their neighbor. They do not necessarily share the same healthcare system. They may not know the institution. They may be making a decision from thousands of miles away.
So they research. And they probably research more.
In that scenario, digital presence ceases to be a secondary tool. It can be part of the pre-consultation experience.
The patient needs to answer:
Digital infrastructure must answer before the doctor has the chance to do so personally.
It is between representations.
Two doctors can have equally beautiful sites.
But an artificial intelligence does not "see" a site the same way a patient does.
It tries to interpret information. Relate entities. Understand context. Find sources. Resolve intent. Compare alternatives. Build an answer.
That is why visual design remains extremely important for the human.
But beneath the design lies another layer:
the information architecture.
The practice needs to be visually compelling for the patient.
And semantically clear for machines.
A medical website used to be sufficient if it answered:
That is no longer enough for a practice that wants to compete in complex digital markets.
A modern infrastructure should allow answering:
The page ceases to be a brochure.
It becomes:
representation infrastructure.
Here we connect with our Paper 003.
The first generation of AI could answer.
The next can research.
The next can act.
That means the question will not only be:
"Can AI find me?"
It will also be:
"What can AI do after finding me?"
It can help a patient understand information. It can direct them to a source. It can compare options. It can facilitate a request. It can start a conversation. It can schedule an appointment. It can collect administrative information. It can activate processes.
This is where digital presence and operations begin to touch.
And this is where a medical practice stops having only:
marketing + schedule.
It starts having:
infrastructure + intelligence + operation.
This distinction is essential.
AI does not need to become a doctor to transform patient acquisition.
It can act much earlier.
It can become:
And later, when a practice has the right infrastructure, it can become an operational layer.
That means the doctor can continue doing exactly what no digital strategy can replace:
practicing medicine.
While the infrastructure does the work that belongs to infrastructure.
There is no button:
"Optimize for ChatGPT."
There is no button:
"Be recommended by Gemini."
There is no guarantee:
"Appear first in AI Mode."
And we distrust anyone who promises otherwise.
The strategy is much more boring.
And precisely for that reason, much more solid.
Before:
"I want to appear on Google."
After:
"I want to be found."
Now:
"When someone asks about what I know how to solve, I want enough evidence to exist for an artificial intelligence to understand it."
That is a different objective.
And much more ambitious.
It will be whoever builds a better representation.
Because when answers become more complex, selection criteria also become more complex.
The medical practice that wants to compete will have to be:
Not because AI will replace marketing.
But because AI is beginning to become a new layer between the patient's question and the decision they make.
The patient has not stopped searching for doctors.
They are starting to search differently.
Google is turning Search into a more conversational and generative experience. ChatGPT can now search the web and present sources. Platforms are evolving from delivering results to helping people research, understand, and decide.
That does not mean traditional search engines will disappear tomorrow.
It means that the doctor who builds their digital presence thinking only of the old model may be optimizing for an experience that is ceasing to be the only one.
The new competition will not simply be:
who has the best site.
It will be:
who has the best infrastructure to be understood.
Because when a patient asks an artificial intelligence:
"Who could help me with this?"
the doctor is no longer necessarily competing for a click.
They are competing to become:
an answer.
The next generation of medical acquisition will not necessarily begin with a search that ends on a page.
It may begin with a question that ends in a recommendation.
That is why we design digital infrastructure so that medical practices can be:
Medicine is not leaving the internet.
Internet is changing how medicine is discovered.
And the next competitive advantage will not be just having a digital presence.
It will be having a digital presence that can be understood, verified, and used by the new generation of intelligent systems.