B2A: the new frontier of business where companies need to be understood by artificial intelligence

The B2B market has always required companies to know how to talk to buyers. Now a new interlocutor has emerged in this conversation: artificial intelligence. And he doesn’t function like a human.

This movement has a name.

It’s called B2A — Business to AI.

And it’s already changing how Brazilian businesses sell, are found and are chosen — even if most companies haven’t realized it yet.

What is B2A and why it matters now

The concept starts from a real change in the corporate purchasing journey.

If before the buyer searched on Google, read articles, compared websites and then contacted a seller, today a growing portion of this process is carried out by artificial intelligence agents.

These agents research suppliers, compare solutions, analyze digital reputation and recommend paths based on objective criteria.

The human decision maker still exists.

But he arrives at the meeting with a briefing from an AI.

This completely changes the logic of how a company needs to position itself.

In the traditional B2B model, the company needed to convince one person.

In the B2A model, it needs to be understood by an algorithm before reaching the human.

And this difference is much greater than it seems.

The numbers that show urgency

The data available for 2026 reinforces that this change is not a distant trend.

Gartner projections indicate that by the end of 2026, four in ten business applications will have AI agents dedicated to specific functions — compared to less than 5% in the previous year.

By 2028, at least 15% of work decisions will originate from Agentic AI systems — agents capable of planning and executing tasks autonomously. In 2024, this index was practically zero.

In Brazil, 67% of companies already consider artificial intelligence a strategic priority, with a focus on optimizing operations, reducing costs and generating new sources of revenue.

The market is no longer debating whether to adopt AI.

It’s discussing how.

And in this context, the company that has not structured its digital presence to be read by AI systems is at a real disadvantage — even if it has an excellent product.

The Brazilian paradox

Brazil occupies a contradictory position in this scenario.

On the one hand, the country is among the global leaders in the adoption of artificial intelligence and automation.

On the other hand, most companies still operate with legacy systems, fragmented processes and an inconsistent digital presence.

In practice, this creates an invisible problem:

the company exists, it has a product, it has a team — but the AI cannot interpret it clearly.

Confusing websites, outdated information and generic content make it difficult not only for the human user to experience it, but also for automated systems to read it.

And a company that AI doesn’t understand is a company that AI doesn’t recommend.

The result tends to create a new market division.

On the one hand, companies that see artificial intelligence as a business strategy and invest in governance, organized data and a structured digital presence.

On the other, organizations that continue to treat AI only as a one-off tool, without reviewing processes, culture or digital positioning.

This mismatch tends to become one of the main factors of competitive differentiation in the coming years — especially in the B2B market, where the decision cycle is naturally longer and more complex.

What changes in practice for B2B companies

Three points concentrate the most immediate impact for those operating in the Brazilian corporate market:

Data organization and positioning clarity

AI needs to find clear, structured information.

Objective value proposition, well-defined use cases, explicit differentiators.

Without this, the AI ​​system ignores or underestimates the company when compared to competitors who present the same information in a more readable way.

It’s not about having the best product.

It’s about being as understandable as possible to those doing the screening.

Digital reputation as a strategic asset

Reviews, mentions, delivery history and consistency of online presence feed the algorithms that recommend suppliers.

Research by B2B Stack with 19 thousand reviews from corporate software users showed that, in 2026, reputation stopped being a side effect of the product and became a strategic choice.

Companies with a solid, well-documented reputation have a real advantage over technically equivalent competitors.

Machine-readable content

It’s not enough to have a digital presence.

It is necessary to have a presence interpretable by AI.

This means clear structure, straightforward language, verifiable data, and consistency across channels.

Content that confuses a human confuses an algorithm much more.

The turnaround that few companies have seen yet

There is one thing that sums up the moment well.

Sebrae has already identified this movement directly: very soon, it may not just be the customer searching on the internet — it could be the customer’s virtual assistant analyzing alternatives and deciding which brand makes the most sense.

The corporate buyer will no longer browse through dozens of tabs comparing suppliers.

He will delegate this step to the AI.

And the AI ​​will recommend whoever it can understand best.

This redefines the role of B2B marketing.

The competition is no longer just for human attention.

Now it is also through algorithmic interpretation.

And for that, generic content, vague positioning and disorganized data are real obstacles.

What to do now

The starting point is more accessible than it seems.

It does not require large technological investments.

It requires a review of how the company presents what it does.

Some practical paths:

• Review the website with the eyes of someone looking for AI: is the central information clear and direct?
• Structure the value proposition, differentiators and use cases well — no jargon, no ambiguity
• Take care of your digital reputation actively, not reactively: reviews, mentions and history matter more and more
• Produce consistent, verifiable content focused on answering real questions from your market
• Integrate marketing and sales around shared data — AI does not separate these areas when evaluating a company

In B2A, there is no invisible second place.

Either the company appears in the AI’s recommendation — or it simply doesn’t appear.

For Brazilian businesses operating in the B2B market, adapting their digital presence to this new context could be the difference between growing or falling behind in the coming years.

The technology is already in the field.

The question now is: is your company prepared to be read by them?