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Sales and Marketing in the Age of AI: What Is Actually Changing?

Oct 1
4 min read

AI is no longer an additional tool for sales and marketing teams. It is becoming part of the infrastructure behind how companies find customers, communicate with them and convert interest into business.


The important change is not simply that marketers can create content faster.

The bigger change is that the customer is also using AI.

People increasingly research products, compare companies, ask questions and make decisions through AI assistants before they ever reach a company website or speak to a salesperson.

Salesforce reported in September 2026 that the use of AI-driven or “agentic” search as the first step of a shopping journey had grown 200% year over year. Traffic coming to commerce websites from AI chats also increased significantly faster than overall web traffic.

This changes the traditional marketing funnel.


Search is becoming answers


For many years, digital marketing was built around a simple idea:

Search → Website → Lead → Sales.


That journey is becoming less predictable.

Customers can now ask an AI assistant:

  • “Which accounting company should I use in Georgia or Cyprus?”

  • “What is the best CRM for a 20-person company?”

  • “Compare these three hotels.”


And increasingly, they receive an answer without visiting ten different websites.

Salesforce's 2026 marketing research found that 85% of marketers say AI is reshaping their SEO strategy, while 88% reported already working on optimization for AI-generated answers.

This means SEO is not disappearing, but it is evolving.


Companies now need to think about AEO — Answer Engine Optimization alongside traditional SEO.

The question is becoming:

Not only “Can Google find us?” but also “Can AI understand us, trust our information and recommend us?”

More content does not necessarily mean better marketing


AI has made content production almost unlimited.

A company can create dozens of posts, articles, emails and advertisements in minutes.

That sounds like an advantage, but it is also creating a new problem: everyone can produce more content.


The result is more noise.

Salesforce found that although 75% of marketers surveyed were already using AI, 84% still admitted to running generic campaigns.

That tells us something important.

AI itself is not a competitive advantage anymore.


How you use it is.

The companies that simply use AI to produce more generic content will probably make marketing cheaper, but not necessarily better.

The companies that combine AI with real customer knowledge, strong positioning, good data and human creativity have a much stronger opportunity.


Personalization is becoming the standard

Customers are also becoming less tolerant of generic communication.

They already know that technology exists which allows companies to understand what they are interested in, what they bought before and why they are contacting the company.

According to Salesforce, 83% of marketers say customers increasingly expect two-way conversations with brands, while 69% say their organizations still struggle to respond quickly enough.

This is where AI becomes much more interesting than simply writing posts.


AI can help companies:

  • understand customer behaviour;

  • segment audiences;

  • personalize communication;

  • qualify leads;

  • answer routine questions;

  • recommend products or services;

  • identify the next best action;

  • follow up automatically;

  • analyse sales conversations and pipelines.


The direction is toward one-to-one marketing at scale.

Gartner predicts that by 2028, 60% of brands will use agentic AI to support more personalized one-to-one customer interactions across marketing, sales and support.


Marketing, sales and customer service are starting to merge


Traditionally, companies separated these functions.

Marketing generated the lead.

Sales closed the deal.

Customer service supported the client afterwards.

AI makes those borders much less clear.


A customer may first interact with an AI assistant, continue the conversation through WhatsApp, receive a personalized offer, speak to a salesperson and later return to an automated support system.

From the customer's perspective, this is all one relationship with one company.

That means businesses need connected customer data.

If marketing knows something that sales does not, or sales knows something customer service cannot see, AI cannot create a good customer experience.

This is why one of the biggest challenges of AI adoption is not actually AI. It is data quality and internal integration. Salesforce's research found significant gaps between marketing teams' access to sales, service and commerce data.


Salespeople are not disappearing — but their work is changing

There has been a lot of discussion about whether AI will replace sales teams.

For complex B2B sales, I think the more realistic scenario is different.

AI will increasingly take over the repetitive parts of selling:

  • research,

  • lead qualification,

  • meeting preparation,

  • CRM updates,

  • follow-ups,proposal preparation,

  • pipeline analysis.


The salesperson can spend more time on what technology still struggles to replace:

trust, negotiation, context, relationships and judgment.


McKinsey's 2026 research on B2B sales describes this as a move toward human–AI commercial teams, where AI increases seller capacity while humans remain responsible for relationships and complex decision-making. McKinsey estimates that agentic AI applied to individual sales journeys can free around 10% of seller time.

This may actually make strong salespeople more valuable, not less.


Trust may become the most valuable marketing asset


When everyone can create professional-looking content, photographs, videos, websites and even personalities using AI, customers will increasingly ask a simple question:


Is this real?


Brand reputation, genuine expertise, customer experience and human relationships may become more important precisely because artificial content becomes easier to produce.

Companies will need to prove expertise rather than simply communicate expertise.


This will make:

  • customer reviews,

  • real case studies,

  • founder visibility,

  • professional reputation,

  • community,

  • events,

  • partnerships,

  • and genuine thought leadership


much more important.


The winners will not necessarily be the companies using the most AI


The winners will probably be those who understand where AI creates value and where humans create value.

AI is extremely good at speed, scale, analysis and automation.

Humans remain strong at empathy, relationships, creativity, cultural understanding, negotiation and trust.

The strongest sales and marketing organizations will combine both.

For me, this is the real transformation happening today:

AI is making communication cheaper. At the same time, it is making trust, originality and real human connection more valuable.

And that may ultimately change marketing much more than simply generating content faster.

 
 
 

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