For most of the internet era, businesses understood the basic bargain.

A potential customer had a problem. They opened Google. They typed a few words. Businesses competed to appear somewhere near the top of the results.

Entire industries were built around that behaviour: SEO, paid search, comparison websites, affiliate marketing, content marketing and online reputation management.

That behaviour is now beginning to change.

Increasingly, the customer does not want ten blue links.

The customer wants an answer.

They open ChatGPT, Gemini, Claude, Perplexity or another AI assistant and ask:

What is the best way to structure this transaction?

Which solar inverter should I buy for a five-bedroom house?

What should I look for when choosing a property investment in Lagos?

Which law firm understands renewable-energy transactions in Nigeria?

What is the safest way to finance inventory for my business?

That is not merely a change in technology.

It is a change in the marketplace itself.

The storefront is moving into the conversation.

Search gave us choices. AI gives us recommendations.

The numbers are already significant.

Adobe’s research found that by July 2025, 38% of surveyed U.S. consumers had used generative AI for online shopping, while 52% said they intended to use it. Among consumers already using AI for shopping, 73% described AI as their primary source for product research, while 83% said they were more likely to use AI when considering larger or more complex purchases.

That is a more accurate and, frankly, more interesting statistic than saying that “70% of AI conversations are about buying things.”

They are not.

But among people who have incorporated AI into their purchasing journey, AI is rapidly becoming an important adviser at precisely the stage where preferences are being formed.

And the referrals are becoming commercially meaningful.

Adobe reported that generative-AI traffic to U.S. retail websites was up 4,700% year-on-year in July 2025. By October 2025, visitors arriving from generative-AI sources were 16% more likely to convert than visitors from other channels and generated 8% more revenue per session.

That should get the attention of anyone responsible for marketing.

The question is no longer simply:

“How do I get my website onto page one?”

A new question is emerging:

“When somebody asks an AI about my industry, why would it mention me?”

This changes what authority means online

Search engines historically rewarded visibility.

AI systems increasingly need something slightly different: information they can understand, compare, summarise and trust sufficiently to incorporate into an answer.

That creates an unusual opportunity.

Many of the organisations that possess the deepest stores of authoritative information are increasingly cautious about allowing AI companies unrestricted access to their material.

The Reuters Institute found that by the end of 2023, 48% of the most widely used news websites across ten countries were blocking OpenAI’s crawlers. Among the leading U.S. news websites in the study, the figure was 79%.

The trend has since become increasingly institutionalised. In July 2025, Cloudflare introduced a system under which new domains using its infrastructure could block AI crawlers by default unless permission was granted, with support from publishers and platforms including The Associated Press, The Atlantic, Condé Nast, TIME and others.

There are important technical distinctions here. A website may block a crawler used for model training while allowing another crawler used for search or a user-requested fetch. Blocking one AI crawler does not necessarily make a website invisible to every AI system.

But the larger point remains.

Some of the internet’s traditional information gatekeepers are becoming more restrictive at exactly the moment AI systems need reliable material to answer increasingly sophisticated questions.

That creates space.

And businesses that understand this early can occupy it.

AI is already writing part of the internet that AI reads

There is another extraordinary development happening simultaneously.

AI is becoming one of the principal tools used to create the information on the web from which AI systems themselves retrieve information.

The frequently repeated claim that “70% of articles online are written by AI” is too crude.

But there is real evidence behind the broader idea.

Ahrefs analysed 900,000 newly discovered English-language webpages in April 2025 and estimated that 74.2% contained some AI-generated material.

Importantly, only 2.5% were classified as entirely AI-generated. The overwhelming majority were mixtures of human and AI work. AI-content detectors are also probabilistic, so these numbers should be treated as estimates rather than a perfect census of the internet.

The same research company later examined pages cited by Google’s AI Overviews and found that the overwhelming majority contained at least some material its detector classified as AI-assisted.

Think about what that means.

We are entering an internet in which humans increasingly use AI to create information, AI systems retrieve that information, synthesise it, answer human questions with it, and potentially direct those humans toward businesses mentioned in the underlying sources.

It is a new information supply chain.

And most businesses are still creating content as though the only objective were getting somebody to click a Google result.

The opportunity is not to produce more AI rubbish

There is an obvious wrong conclusion businesses could draw from this.

If AI systems consume internet content, perhaps the answer is to generate thousands of AI-written articles covering every imaginable keyword.

That is not the strategy.

Google explicitly warns against using generative AI to create large volumes of pages that add little value. Its current guidance for generative-AI search emphasises unique, useful, non-commodity information, particularly material that reflects genuine experience, expertise and a distinctive point of view.

So the opportunity is not:

Use AI to manufacture content.

It is:

Use AI to industrialise the distribution of your expertise.

There is an enormous difference.

Every serious business possesses information that exists primarily inside the heads, emails, proposals, presentations, spreadsheets and conversations of its people.

A property developer knows what causes developments to fail.

A lawyer knows where transactions routinely become complicated.

An engineer knows why apparently identical systems perform differently in the field.

A lender knows the characteristics that make certain borrowers or transactions difficult to finance.

A distributor knows which products repeatedly create after-sales problems.

A manufacturer knows the questions customers ought to ask but rarely do.

Much of this knowledge never becomes publicly searchable information.

That is wasted intellectual capital.

AI now makes it inexpensive to turn that expertise into articles, explainers, comparisons, glossaries, case studies, technical notes, FAQs, market observations and decision guides.

The expert should still supply the judgement.

AI should supply leverage.

Publish the information you want the AI to know about your industry

Businesses therefore need to start thinking beyond traditional SEO.

Imagine that somebody asks an AI:

“What are the major risks when buying fractional property in Nigeria?”

If your company has published the clearest, most detailed and most credible explanation of those risks, there is a possibility that your material becomes part of the information ecosystem from which the answer is constructed.

Now imagine hundreds of questions around your industry:

What should buyers compare?

What mistakes are common?

How are transactions structured?

What does regulation require?

What terminology confuses customers?

What does something really cost?

When is one solution preferable to another?

What warning signs should customers recognise?

How should competing approaches be evaluated?

Those questions represent the new long tail of commercial discovery.

Historically, businesses created pages around keywords.

Increasingly, businesses should create knowledge around decisions.

That distinction matters.

The company that explains the market particularly well can become part of how AI explains the market.

And once you become part of the explanation, becoming part of the consideration set is a much shorter journey.

Your website may increasingly have two audiences

The first remains obvious:

People.

But there is now another audience sitting between your company and many of those people:

Machines interpreting your company for them.

That means corporate communication has acquired another function.

Your website is not simply telling customers what you do.

It is helping search engines, retrieval systems and AI assistants establish:

Who are you?

What exactly do you do?

What subjects do you genuinely understand?

Where do you operate?

What evidence supports your competence?

Who wrote your material?

How recent is the information?

What original knowledge do you contribute?

And when an AI is asked a question in your field, is there anything on your website worth referring to?

This will increasingly become a strategic marketing question.

The advantage may belong to the companies that move first

There is a temporary asymmetry in the market.

Consumers are adopting AI-assisted research quickly.

AI systems need increasingly reliable material.

Many traditional information owners are restricting access or negotiating the terms under which their content can be used.

Meanwhile, the cost of producing high-quality explanatory material has collapsed because AI can dramatically accelerate research, structuring, editing, formatting and repurposing.

That combination creates an opportunity that will not remain equally attractive forever.

Businesses should therefore be aggressive about publishing.

But aggressive publishing should not mean indiscriminate automation.

It should mean systematically extracting the expertise already inside the organisation and putting it into the public domain in useful, accurate and credible forms.

Let AI help interview your experts.

Let it structure their thinking.

Let it convert technical discussions into readable articles.

Let it turn one serious insight into several useful formats.

Let it help maintain publishing consistency.

But attach names to ideas.

Check the facts.

Add original judgement.

Use real examples.

Publish things worth citing.

Because the emerging contest is not merely for clicks.

It is for reference.

The businesses that spent the last twenty years asking, “How do we rank on Google?” may need to spend the next decade asking a different question:

“How do we become one of the sources from which intelligent systems understand our industry?”

The companies that answer that question early may discover that the most valuable salesperson on the internet is not on their payroll.

It is the AI conversation happening immediately before the customer decides whom to call.

BlueX explores opportunities at the intersection of enterprise, capital, technology and changing markets.