Stop Trying To Be the Customer’s Search Engine

Sales in an era where information, comparisons and AI advice are available in seconds

By Keith Kooh, Founder of EVOLVAugust 2026

For years, salespeople were taught that product knowledge creates authority. Know more features. Memorise more facts. Answer every objection quickly. Become the person with the information.

That advice was built for a world in which information was scarce.

Today, a potential client can compare prices, specifications, reviews, alternatives, risks and financing options before speaking to a salesperson. They can ask an AI tool to summarise the market, shortlist providers, identify weaknesses in a proposal and generate questions for the meeting. What once required several appointments can now begin with a few clicks.

The old information advantage is disappearing.

But this does not mean salespeople are becoming irrelevant. It means the role of the salesperson is changing—from delivering information to helping customers interpret it, verify it and make a decision they can stand behind.

The modern customer is often not under-informed. They are over-informed and under-assured.

The AI-era sales paradox

Recent buyer research reveals what appears to be a contradiction.

Gartner found that 67% of B2B buyers preferred a sales-representative-free experience and 70% preferred a fully digital, self-service experience. Yet 69% also preferred to validate AI-generated insights with a salesperson.

Buyers in the same study used an average of seven information sources, while 45% used generative AI during a recent purchase. Gartner’s 2026 buyer research captures the tension clearly.

Customers do not necessarily want a salesperson involved at every stage. They want control over the early research. However, when the decision becomes complex, risky or difficult to justify, many still want a capable human being.

This is not a contradiction. It is a change in timing and purpose.

Buyers no longer need us to recite what they can already find. They need us when the information is conflicting, the trade-offs are unclear, the consequences matter or several people must agree.

Information abundance does not create decision clarity

Artificial intelligence is making research and comparison faster.

The OECD notes that AI-enabled search, recommendation and conversational systems can reduce search and verification costs, expand the range of options considered and intensify competition on price and quality.

It also warns that ranking bias and opaque recommendations can steer consumers towards particular suppliers. OECD analysis of AI and market competition therefore points to both greater convenience and new uncertainty.

More information can help a buyer. It can also create five forms of friction:

Comparison without context. Two products may look similar on a comparison table while differing significantly in suitability, implementation risk or long-term cost.

Confidence without accuracy. AI can present a flawed answer fluently. In Gartner’s research, 51% of buyers believed they were more likely to encounter misleading information from generative AI, while 49% said the same about a salesperson. Trust is not automatically granted to either side.

Choice without priority. A customer may understand ten possible options but still be unclear about which criteria should matter most.

Internal disagreement. The person attending the sales meeting may not be the only decision-maker. Gartner reported that 74% of B2B buying teams experienced unhealthy conflict, while teams that reached consensus were 2.5 times more likely to report a high-quality deal.

Gartner’s research on buying-group conflict shows that many deals are lost inside the customer’s organisation, not to a competitor.

Knowledge without courage. A buyer may know which option is sensible and still hesitate because the decision carries financial, professional or emotional risk.

This is why more product information does not automatically move a sale forward.

A situation almost every salesperson recognises

The customer listens, asks sensible questions and appears interested. Then the conversation slows.

“I have already compared a few options.”

“Your price is higher.”

“Send me the details. I will think about it.”

The traditional reaction is to explain more, defend the price, add features, offer a discount or create urgency.

In an information-rich market, that reaction often makes the salesperson sound less useful. The customer already has information. Adding more may simply increase the noise.

The hesitation could mean many things.

The customer may not understand the total cost. They may need approval from a spouse, manager or business partner. They may distrust one assumption in the proposal. They may fear making a decision they will later regret. They may even prefer the offer but lack a safe way to justify it.

If the salesperson assumes the problem is price, the conversation becomes a price negotiation. If the real problem is trust, timing, internal approval or perceived risk, the discount solves the wrong problem.

The most important skill is no longer answering faster. It is diagnosing more accurately.

What a valuable salesperson does now

In the AI era, a strong salesperson adds four forms of value.

Context, not more content

The salesperson explains what the available information means in the customer’s specific situation.

A mortgage calculation, insurance comparison, vehicle price or software proposal becomes useful only when connected to the buyer’s priorities, constraints and consequences.

Validation, not automatic persuasion

A credible salesperson is willing to confirm when the customer’s research is correct, identify where it may be incomplete and explain the assumptions behind a recommendation.

The aim is not to win every argument. It is to make the decision more reliable.

Clarity, not pressure

Pressure may create movement, but not necessarily a good decision.

Clarity helps the customer understand what is holding them back and what the next honest step should be.

Confidence, not manufactured urgency

In higher-stakes purchases, the customer is often buying confidence as much as the product.

They want to know that the important risks have been considered, the process is legitimate and someone will remain accountable after the transaction.

A practical response: use 3C before answering

At EVOLV, I use a simple 3C discipline: Clue, Curiosity and Clarity.

Clue: Notice what actually happened, without immediately labelling it. What words changed? Where did the energy drop? Which number, condition or stakeholder caused the customer to pause?

Curiosity: Consider more than one possible explanation. Is the customer protecting cash flow, status, certainty, flexibility, internal credibility or the right to take more time?

Clarity: Ask a neutral question that helps the customer reveal the real decision friction.

For example, instead of responding immediately to “Your price is higher”, a salesperson might ask:

“When you compare the options, what still needs to become clearer for you to decide fairly?”

The same approach works across sectors.

In property, the clue may be that enthusiasm disappears when the total financial commitment is discussed. The clarity question might be:

“You seemed comfortable with the property itself, but the decision slowed when we discussed the ownership figures. Which part needs a closer look?”

In insurance, the customer may say the premium is expensive. Rather than defending the plan, ask:

“Is the concern the monthly commitment, the value of the protection or whether this should be a priority now?”

In car sales, the customer may like the vehicle but pause at the trade-in or financing figures. Ask:

“Which part of the total ownership commitment feels least clear?”

For a product or service provider, the customer may request a quotation but avoid scheduling a follow-up. Ask:

“When management reviews this, what concern is most likely to stop it from moving forward?”

These questions do not guarantee a sale. They do something more important: they replace assumption with diagnosis.

A reasonable five-year forecast: 2026 to 2031

Forecasting AI precisely is impossible. The following is a directional view based on current adoption, buyer behaviour, labour-market research and regulatory trends.

2026–2027: AI becomes standard sales infrastructure

AI will become less of a special tool and more of a normal part of prospect research, lead scoring, proposal drafting, follow-up, forecasting and coaching.

Salesforce’s 2026 survey of 4,050 sales professionals found that 87% of sales organisations already used some form of AI. Fifty-four per cent of sellers had used AI agents, and almost nine in ten expected to use them by 2027.

Respondents expected agents to cut research time by 34% and email drafting time by 36%. Salesforce’s State of Sales findings are vendor-sponsored, but the direction is consistent with broader market evidence.

The immediate impact will be the automation of low-value preparation and administration.

Salespeople who use the time saved to improve customer conversations will gain an advantage. Those who merely generate more generic outreach will add to the noise.

2028–2029: AI begins negotiating with AI

Buyer-side agents will increasingly collect requirements, compare offers and prepare shortlists. Seller-side agents will qualify leads, assemble proposals and recommend next actions.

Gartner forecasts that AI agents could outnumber human sellers ten to one by 2028, while fewer than 40% of sellers may feel those agents have improved productivity.

Gartner’s AI-agent forecast is a useful warning: adding technology without redesigning data, workflows and behaviour may scale activity rather than value.

Basic qualification and comparison will become increasingly machine-to-machine. Human intervention will move later in the journey, towards exceptions, ambiguity, negotiation, reassurance and accountability.

2030–2031: the market polarises

At one end will be low-complexity, price-transparent purchases completed largely through self-service.

At the other will be complex, regulated, emotional or high-consequence decisions where capable human involvement becomes more valuable.

Gartner predicts that by 2030, 75% of B2B buyers will prefer sales experiences that prioritise human interaction over AI, particularly at important decision points.

Its 2030 forecast suggests that the likely future is not human versus machine. It is a hybrid model in which machines handle speed and scale while humans handle judgment, trust and difficult decisions.

Sales roles are therefore unlikely to disappear evenly.

General information-broker roles will come under pressure. Specialist roles involving diagnosis, negotiation, consensus-building, regulation, implementation and relationship ownership should remain more resilient.

Across the wider economy, the World Economic Forum estimates that AI and information-processing technologies could create 11 million roles and displace nine million by 2030. AI literacy, analytical thinking, creative thinking, resilience and social influence are all expected to rise in importance.

The Future of Jobs Report 2025 supports a picture of role redesign rather than a simple story of mass replacement.

What this means in Singapore

Singapore is likely to experience this shift quickly.

IMDA reported that SME AI adoption rose from 4.2% to 14.5% in one year, while adoption among non-SMEs reached 62.5%. The Singapore Digital Economy Report 2025 indicates that AI capability is spreading beyond technology companies.

At the same time, trust will become more valuable.

Singapore recorded S$913.1 million in scam losses in 2025, and the Police noted that most scam transfers were performed by victims themselves after manipulation. The Singapore Police Force’s 2025 brief shows why customers are becoming more cautious about identity, claims and digital persuasion.

The implications differ by industry, but the direction is similar.

Property: Listing access, transaction records, price trends and financial calculations will continue to become easier to obtain.

The Council for Estate Agencies notes that AI is already helping salespersons answer enquiries and produce marketing materials, freeing more time for trusted relationships. Its consumer research found that clients still want stronger needs understanding, professional advice, negotiation and compliance checks.

CEA’s 2025 industry update describes exactly where human value is moving.

Insurance and financial advisory: Comparison and education will become easier, while suitability, responsible advice, explanation of trade-offs and long-term accountability remain central. AI may assist the process, but regulated advice and consequential decisions will continue to demand strong governance and human judgment.

Automotive: Specifications, market prices, financing and ownership costs will become increasingly transparent.

Salespeople will add value through the physical experience, fair trade-in discussion, total-cost interpretation, timing and confidence in the transaction. As AI-generated content and reviews increase, verifiable reputation will matter more.

Products and services: Buyers will generate more sophisticated requests and compare proposals faster.

The salesperson’s value will move from presenting features to understanding the business problem, surfacing hidden stakeholders, reducing implementation risk and helping the buying group reach agreement.

What sales leaders should do now

First, make basic information easy to access. Hiding prices, specifications or standard answers merely to force a sales conversation will increasingly frustrate buyers.

Second, use AI to remove administrative work, not to manufacture artificial intimacy. Automated research, summaries, CRM updates and proposal preparation can create capacity. Mass-produced “personalised” messages can quickly destroy trust.

Third, train salespeople to diagnose. Product training remains necessary, but it should no longer dominate development. Teams need to practise listening for clues, testing assumptions, asking neutral questions, handling stakeholder disagreement and creating clear next decisions.

Fourth, measure the quality of movement, not only the quantity of activity. Calls made, messages sent and proposals produced are easy for AI to increase.

Better measures include whether the real decision criteria were identified, whether the right stakeholders were involved, whether risk was clarified and whether both parties agreed on a meaningful next step.

Finally, build visible trust. Clear processes, responsible claims, transparent assumptions, credible proof and consistent follow-through will become competitive assets in a market flooded with generated content.

The future salesperson is not a better search engine

AI will know more facts than any individual salesperson. It will compare options faster and generate competent explanations at almost no cost.

Trying to compete with that by talking more, presenting more slides or memorising more product details is the wrong contest.

The enduring human advantage lies elsewhere: noticing what has not been said, understanding what the customer is trying to protect, challenging an assumption without creating defensiveness, helping several people agree and taking responsibility when the decision matters.

In the next five years, average salespeople may become easier to replace.

Valuable salespeople may become harder to find.

The salesperson who knows the most will no longer automatically be the most useful.

The salesperson who helps the customer think better, decide better and move forward with confidence will be.