AI Is Becoming a New Layer of Discovery and Authority

For most of the last two years, the business conversation around artificial intelligence has focused on productivity.

How can AI write faster?

How can it summarize meetings?

How can it automate repetitive work?

How can it help teams produce more with fewer resources?

Those questions matter. I have spent a significant amount of time thinking and writing about them myself.

But I believe another AI transformation deserves more attention.

AI is beginning to change not only how businesses work, but also how consumers discover information, evaluate options and form an initial perception of authority.

Real estate provides an unusually useful place to observe this shift.

Not because real estate is unique.

Because it makes the change easy to see.

A homebuyer is making one of the largest financial decisions of their life. They need information about affordability, neighborhoods, properties, financing, market conditions and eventually the professionals who can help them navigate the transaction.

Historically, much of that discovery happened through Google, real estate portals, referrals, social media and local reputation.

Those channels are not disappearing.

But another interface is entering the journey:

conversation with AI.

And that creates a strategic question that goes far beyond real estate.

What happens when AI becomes another layer between a customer and the businesses, professionals and information they are trying to find?

That is the shift I think business leaders should be watching.

Search Is Starting to Become a Conversation

Traditional digital discovery has largely been built around a familiar behavior.

You type a query.

You receive a list of results.

You open several pages.

You compare information.

You refine the search.

You make a decision.

Conversational AI changes that interface.

Instead of searching repeatedly, the user can develop the question.

Consider a homebuyer.

A traditional search might begin with:

“homes for sale in Tampa under $600,000”

A conversational interaction could begin much more broadly:

“I’m relocating to Tampa with two children. I work remotely, my partner commutes three days a week, we want good access to parks, and our budget is around $600,000. What areas should we research?”

The next question might be:

“How do those areas compare?”

Then:

“What are the tradeoffs?”

Then:

“What should I know about buying in this market?”

The important change is not simply that AI can answer questions.

It is that discovery can become an ongoing conversation in which the system maintains context, synthesizes information and helps the consumer narrow the decision.

We can already see real estate platforms moving in this direction.

In June 2026, Realtor.com launched RealAssist AI, built with Google’s Gemini. The company describes an experience where buyers can use natural-language conversation for affordability questions, property discovery, neighborhood exploration and other parts of the homebuying journey. The system can maintain context across sessions and provides a path to connect with a local agent.

Earlier this year, Redfin launched an app in ChatGPT that allows consumers to explore listings, neighborhood information and housing-market trends conversationally. A user can begin with one housing question and continue refining the criteria through dialogue.

These are product launches, not proof that traditional search has been replaced.

But they are meaningful signals.

The interface through which consumers investigate complex decisions is expanding.

Consumers Are Already Using AI Earlier in the Decision Journey

There is also evidence that consumers are experimenting with AI before they reach the transaction itself.

According to the 2026 Bank of America Homebuyer Insights Report, cited by the National Association of REALTORS®, one in five prospective buyers and current homeowners surveyed had used AI tools or chatbots for homebuying research. Among those using AI for home search, common uses included estimating affordability and costs, learning about the buying process, and researching neighborhoods, market trends or property values.

That distinction matters.

The strongest evidence today is not that AI has replaced the agent or become the dominant way consumers choose one.

It hasn't.

The more defensible conclusion is that AI is entering the information and discovery phase that happens before many high-value human interactions.

And the human layer remains important.

The same research reported that more than half of respondents still preferred real estate professionals for activities such as touring homes and obtaining legal or contractual guidance. Cotality research cited by NAR also found that 44% of buyers would be willing to pay more for a human professional to verify AI-generated information.

I think this is a much more interesting story than “AI is replacing Realtors.”

It suggests almost the opposite.

AI may handle more of the initial information layer while increasing the importance of human judgment at the moments where trust, context and accountability matter.

That pattern will not be limited to real estate.

Think about financial services.

Professional consulting.

Legal services.

Healthcare information.

Travel.

Education.

Home services.

B2B purchasing.

In many industries, customers may increasingly arrive at the human conversation after an AI system has already helped them frame the problem, learn the terminology, compare alternatives and develop expectations.

That changes the starting point of the relationship.

The New Layer Between Search and Decision

I think we need a broader way to describe what is happening.

SEO describes an important part of digital visibility.

Generative Engine Optimization, or GEO, is emerging as another discipline concerned with improving how information is understood and surfaced by generative AI systems.

Both matter.

But I don't think the strategic issue is simply:

SEO vs. GEO.

That reduces a much larger behavioral change to a marketing technique.

The more important shift is the emergence of what I would call an AI discovery layer.

This layer sits somewhere between the enormous amount of information available online and the person trying to make sense of it.

Its role can include:

Finding information.

Synthesizing information.

Comparing options.

Providing context.

Answering follow-up questions.

Reducing complexity.

And, in some circumstances, surfacing products, companies or professionals that appear relevant to the question.

That last point requires precision.

AI systems do not maintain some universal, stable ranking of “the best professionals.”

Their outputs can vary by model, prompt, available sources, integrations, geography, freshness and other factors.

A professional appearing in one generated answer does not mean they will appear in another.

So I would not tell a Realtor or any business owner that there is a simple formula to “get ChatGPT to recommend you.”

That promise is too strong.

But I would tell them something else:

The information AI systems can find and understand about you is becoming part of your digital presence.

And that deserves strategic attention.

Authority Is Becoming Machine-Interpreted Before It Becomes Human-Experienced

For years, businesses have thought about digital authority primarily through humans and search engines.

Does the website look credible?

Does the company rank?

Are there reviews?

Does the professional publish useful content?

Is the brand mentioned by credible sources?

Are profiles accurate?

Does the person demonstrate expertise?

Those signals still matter.

But generative systems introduce another consideration:

Can machines make sense of them?

The National Association of REALTORS® has already begun discussing Generative Engine Optimization in the context of real estate professionals. Its guidance emphasizes the importance of a coherent digital presence, local expertise, profiles and content that AI systems can discover and interpret.

More recently, Realtor.com promoted a September 2026 training for agents around profile completeness and visibility across its own ecosystem, Google SEO and AI search tools.

Again, I would be careful not to convert this into a guaranteed ranking formula.

The larger principle is more useful:

Digital authority increasingly needs to be both human-readable and machine-readable.

A human might understand that you are an expert because they have followed you for two years.

An AI system does not have that relationship.

It has information.

Entities.

Associations.

Pages.

Profiles.

References.

Structured and unstructured data.

Published expertise.

Third-party evidence.

Context.

If your website says one thing, your professional profiles say another, your biography is vague, your expertise is never documented publicly and there is little external evidence connecting you to the subjects you claim to know, the problem is no longer only weak branding.

It may also be weak machine legibility.

Real Estate Is a Useful Laboratory for This Change

This is why I keep returning to real estate when studying AI transformation.

Real estate compresses many of the challenges businesses will face into one industry.

It is highly local.

Trust matters.

Transactions are expensive.

Information is fragmented.

Consumers conduct substantial research before acting.

Expertise matters, but expertise can be difficult for consumers to evaluate.

Digital platforms already play a major role in discovery.

And the final decision still depends heavily on human judgment and relationships.

That makes real estate a useful laboratory for studying the intersection of AI, authority and human trust.

Imagine two real estate professionals.

Both are experienced.

Both know their market.

Both have served clients successfully for years.

But one has a digital footprint that clearly documents that expertise.

Their website explains the markets they serve.

Their biography is specific.

They publish useful answers to real consumer questions.

Their profiles are consistent.

Their professional history is understandable.

Their expertise is associated with identifiable topics and locations.

Other credible sources occasionally mention or reference them.

The second professional may be equally capable, but almost none of that expertise exists in a form that can be easily discovered online.

From a human perspective, both may be excellent.

From an information-system perspective, they are very different.

That gap is what businesses need to understand.

This Is Bigger Than Personal Branding

At first glance, this sounds like a personal-brand problem.

It is partly that.

But I think the business implications go further.

For companies, the same questions apply.

Can an AI system clearly understand:

What does this company do?

Who does it serve?

Where does it operate?

What problems does it solve?

What is it known for?

What evidence supports those claims?

What products or services does it offer?

How does it differ from alternatives?

Where can authoritative information about it be verified?

These are not merely AI optimization questions.

They are business clarity questions.

And this is where the topic connects directly to AI strategy and business transformation.

The companies that struggle to explain themselves to AI may often be the same companies that struggle to explain themselves to customers.

AI visibility can expose a deeper problem:

A fragmented digital identity.

Inconsistent positioning.

Weak documentation of expertise.

Generic content.

Disconnected platforms.

Unclear differentiation.

No authoritative source of truth.

The solution is not to produce hundreds of AI-generated articles hoping a chatbot notices.

That would repeat one of the biggest mistakes businesses are already making with generative AI: confusing more output with better strategy.

The Wrong Response Is to Create More Content

This is where I think the emerging GEO conversation can go wrong.

A business hears that AI systems consume information.

The immediate reaction is:

“We need more content.”

So the company uses AI to publish fifty articles.

Then one hundred.

Then hundreds of location pages.

The internet fills with more generic material written primarily to influence machines.

We have seen versions of this behavior before.

AI simply makes it cheaper.

But volume without authority does not solve the underlying problem.

The strategic question should not be:

How much content can we generate?

It should be:

What information should exist publicly that demonstrates what we genuinely know, do and represent?

That is a very different content strategy.

A Realtor who deeply understands relocation into Tampa should document that expertise.

A brokerage with a distinctive operating model should explain it.

An investor with years of experience evaluating small multifamily properties should publish the frameworks and questions that reflect that experience.

A consultant should develop original thinking around the problems they solve.

A company should make its expertise easier to verify.

The objective is not to manufacture authority for AI.

The objective is to make real authority more legible.

What Professionals Should Do Now

I don't think businesses need to panic about AI search.

And I don't think they should abandon traditional SEO, social media, referrals, email or relationship building.

The more rational response is to strengthen the underlying digital foundation.

Start with five questions.

1. Is your identity clear?

Can someone, and increasingly, can a machine quickly understand who you are, what you do, whom you serve and where your expertise applies?

Vague positioning has always been expensive.

AI makes that weakness easier to see.

2. Is your information consistent?

Professional profiles, websites, biographies and business information should not tell conflicting stories.

Consistency is not glamorous.

But it creates clarity.

3. Is your expertise documented?

If you claim deep knowledge of a market, industry or problem, where is the evidence?

Useful articles.

Original analysis.

Interviews.

Case studies.

Guides.

Professional commentary.

Videos.

Research.

Third-party references.

The goal is not content for content's sake.

It is evidence of expertise.

4. Are you answering the questions customers actually ask?

Conversational interfaces make customer questions even more important.

What do people ask before they hire you?

What are they confused about?

What tradeoffs do they need help understanding?

What information would make them better prepared for a conversation with you?

Those questions should influence your content strategy.

5. Does your digital authority exist beyond platforms you control?

A company describing itself as an expert is a claim.

Other credible sources recognizing that expertise provide a different kind of signal.

That has always mattered for reputation.

It may become even more important in an environment where AI systems synthesize information from multiple sources.

GEO Matters. But Authority Matters More.

Generative Engine Optimization deserves attention.

Businesses should learn how AI-driven discovery works.

Marketers should understand how conversational search differs from traditional search.

Organizations should monitor how their brands, products and expertise appear across emerging AI interfaces.

But GEO should not become another acronym that distracts businesses from fundamentals.

You cannot optimize your way out of having no clear expertise.

You cannot automate your way into credibility.

You cannot prompt your way into genuine authority.

The organizations and professionals best positioned for AI discovery will likely be those that were already doing many of the right things:

Developing real expertise.

Explaining it clearly.

Publishing useful information.

Maintaining accurate digital identities.

Earning trust.

Building relationships.

Creating evidence.

Becoming known for something.

AI changes the interface.

It does not eliminate the need for substance.

My View: AI Is Changing the Architecture of Trust

For the last few years, I have argued that businesses should stop thinking about AI primarily as a collection of tools.

The more important question is where AI changes the way work gets done.

That is still true.

But the next phase requires another question:

Where does AI change the way customers make decisions?

Real estate is beginning to provide an answer.

AI can enter before the property search.

Before the consultation.

Before the agent conversation.

Before the consumer fully understands the problem.

It can help frame the questions that eventually reach the professional.

That means AI is not only becoming part of the productivity stack.

It is becoming part of the information architecture surrounding trust and discovery.

I don't believe this means consumers will outsource every important decision to an AI system.

Current evidence in real estate points to a more nuanced future: consumers may use AI heavily for research and preparation while still relying on humans for judgment, verification, negotiation and consequential decisions.

That combination is important.

The future may not be AI replacing professional authority.

It may be AI increasingly mediating the path toward it.

And if that pattern continues, businesses will need to think differently about digital presence.

Not simply:

Can people find us?

But:

Can machines understand us?

Can our expertise be verified?

Is our positioning coherent?

Does the information surrounding our business accurately represent what we know and what we do?

And when a customer moves from AI-assisted research to a human conversation, are we capable of delivering the judgment and trust that technology cannot provide?

Those questions are much bigger than GEO.

They are questions about business strategy.

They are questions about authority.

And increasingly, they may become questions about competitive advantage.

Miguelangel HumbriaAI Strategy, Productivity & Business Transformation

Exploring how artificial intelligence is changing the way businesses work, compete, build authority and create value, with real estate as one of the industries where that transformation can already be observed.