For a long time, manufacturers could afford to treat growth as a series of separate functions.

Marketing drove awareness. Sales handled relationships. Technical teams answered product questions. Operations focused on delivery. Quality ensured standards were met.

That separation is getting harder to sustain.

Today’s buyers are doing more of the work before a supplier ever gets a real chance to shape the conversation. McKinsey reports that B2B decision-makers now use an average of 10 interaction channels during the buying journey, and 42% use more than 11. 6sense found that 95% of buyers ultimately choose a vendor already on their Day One short list.

That means many manufacturers are still trying to sustain momentum in the sales process when the buyer’s real evaluation of relevance, trust, and fit has already been underway for some time.

So what is this, really? A marketing issue, or more of a leadership issue?

Manufacturers have spent years improving efficiency inside separate functions. That still matters. The greater pressure now is effectiveness across the full buyer experience, helping buyers understand, verify, and move forward with confidence.

In industrial markets, buyers are rarely looking for messaging alone. They are looking for confidence. They want to understand what a company actually makes, where it has real expertise, what standards it meets, how clearly it communicates, how quickly it responds, and whether the experience of engaging the company feels credible from the start.

They move between websites, spec sheets, technical documentation, distributor touch points, sales conversations, and peer validation long before they are ready to commit. McKinsey’s B2B research reinforces the point: As buyers move across more touch points, the quality and continuity of the experience matter more.

Where growth starts to slip

Manufacturers lose momentum when they lack visibility. They lose even more when visibility is disconnected from technical clarity, when interest is disconnected from follow-up, when distributor and direct channels tell different stories, and when the hand-off from discovery to human engagement feels like a reset instead of progress. Those gaps create friction at exactly the point where buyers are already trying to reduce risk.

This is one reason why more activity isn’t the same as progress. A manufacturer can become more efficient in isolated parts of the system and still become less effective in the market if the experience between those parts feels disconnected.

That friction is more expensive than many leadership teams still think. Forrester reported in December 2024 that 86% of B2B purchases stall during the buying process, and 81% of buyers express dissatisfaction with the provider they ultimately choose.

Quality signals shape buyer confidence

Quality shouldn’t be treated only as an internal operating discipline. It’s part of how the market reads trust. Buyers may not always use that language in early interactions, but they’re looking for the signals behind it: consistency, documentation, standards, traceability, process discipline, responsiveness, and proof that what’s being promised can actually be delivered.

In practical terms, quality shows up before the first order whenever a manufacturer makes it easier for buyers to verify competence instead of infer it. That can mean clearer technical documentation, visible certifications and standards, tighter response discipline, better traceability of claims, and stronger consistency between direct and channel communications. In a market where buyers are narrowing risk before formal selling begins, those signals matter.

That dynamic in the buying decision is taking shape earlier than many manufacturers assume and is showing up clearly in the data. In 6sense’s 2025 buyer research, nearly 80% of seller conversations are initiated by buyers, and the vendor contacted first wins about 8 out of 10 deals. Buyers aren’t blank slates when they finally reach out. They’re narrowing risk, validating assumptions, and looking for reasons to move forward with a company they’re already leaning toward.

This is one reason the old habit of treating growth as a marketing challenge with a sales hand-off on the back end is becoming less effective. A manufacturer can have decent marketing and still underperform if the larger commercial system isn’t connected. The website might attract interest, but the technical content may be vague. The sales team might respond quickly, but without context. The distributor network may have reach, but not consistency.

The company may have strong quality practices, but weak outward proof of them. On paper, each function may look competent. In the market, the experience still feels fragmented.

The pressure to change goes up with AI

A lot of the current discussion still treats AI as a stand-alone tool or a narrow question of search visibility. That frame is too small for manufacturers. AI is beginning to influence how prospects discover suppliers, how sales teams prepare, how service knowledge is accessed, how technical documentation surfaces, and how quickly information moves inside the business. In that environment, weak coordination becomes easier to expose and harder to hide.

Deloitte’s 2025 manufacturing outlook reports that 55% of surveyed industrial product manufacturers are already using generative AI tools in their operations, and more than 40% plan to increase investment in AI and machine learning during the next three years. The same report, citing 2024 Manufacturing Leadership Council research, says 78% of manufacturers report that their AI initiatives are part of a broader digital transformation strategy.

That’s real movement. It’s not the whole story.

The harder question is whether the underlying system is ready. If data quality is weak, documentation discipline is uneven, process ownership is blurry, or standards and validation are inconsistently managed, AI doesn’t solve the underlying problem. It exposes it faster. That puts even more weight on the systems that support consistency, traceability, validation, and trust.

For instance, AI-driven search exposes cracks that were already there. A buyer prompts a question and gets outdated technical documents, conflicting specs, vague capability language, or weak proof from standards or certifications.

Sometimes the problem is obvious. Often it isn’t. That’s where the risk gets potentially bigger, because bad, incomplete, or outdated information can be taken as credible and used in ways that create confusion, poor decisions, quality issues, compliance exposure, or loss of trust.

AI doesn’t create that weakness. It exposes it faster and at greater scale. There’s a second layer to it as well: If AI adoption is moving faster than governance, employees might start using outside tools without clear rules about sensitive and confidential information, validation, or accountability.

So the greater issue isn’t just search visibility. It’s whether the company’s documentation and governance are strong enough to hold up under that kind of pressure.

That’s why this moment calls for a broad organizational response led by executive leadership.

What manufacturers should do next

First, take a more honest look at where buyer confidence is being lost

Manufacturers should map the path from first discovery to first meaningful conversation and examine where the experience becomes harder to trust. That means looking beyond campaign metrics and asking more practical questions:
• Can buyers quickly understand what the company makes and where it has real expertise?
• Are standards, certifications, proof points, and application knowledge easy to find?
• Are technical documents current, clear, and easy to navigate?
• Does the hand-off from website to sales to technical support feel connected, or does the buyer have to start over each time?  

Second, tighten the signals that shape buyer confidence

For many manufacturers, that means improving the quality of what the market can actually see: clearer capability pages, stronger technical documentation, easier access to standards and certifications, faster response discipline, and better alignment between direct sales teams, channel partners, and technical experts. In practical terms, manufacturers should make it easier for buyers to verify competence instead of infer it. In industrial markets, hesitation tends to grow when information is vague, inconsistent, or difficult to validate. 

Third, take a more-inclusive, 360-degree view of the buyer experience

Commercial, technical, quality, and operational teams are often still working in parallel when they need to reinforce one another. A useful starting point is a cross-functional review of the buyer journey, the supporting documentation, the most common points of friction, and the places where internal teams send mixed signals. The goal isn’t to create another layer of meetings. It’s to see the experience more completely, identify where momentum is slipping, assign clear ownership, and fix the points where the experience breaks down. 

Fourth, treat AI investment as an organizational readiness issue, not just a technology decision

The smartest move is to focus less on adding tools right away and more on building real readiness throughout data and technology, governance, people and skills, and company culture. Before manufacturers ask where AI can accelerate growth, they should ask:
• Are the data accurate, usable, and accessible?
• Is the tech stack connected enough to supply the right information?
• Are governance, documentation, and process ownership clear?
• Do teams have the skills and confidence to use AI responsibly and effectively?
• Is the culture ready to support change instead of resist it?

AI can improve discoverability, responsiveness, and decision support, but only when the business has done the harder work of making its systems, knowledge, and people ready for it.

What growth now requires

Manufacturing growth now depends on more than marketing, because the buyer’s judgment now depends on more than promotion. It depends on what the market can find, what can be verified, how smoothly the experience advances, how clearly expertise is communicated, and how much confidence the company creates before formal selling is underway.

That raises the standard for what growth now requires. More efficient activity inside separate functions is no longer enough. Manufacturers need to become more effective across the full buyer experience, helping prospects understand faster, trust sooner, and move forward with less friction, starting with discovery and ending with decision.

This work touches multiple functions, but accountability can’t be diffused across all of them. Executive leadership must set the direction, align the system, and make sure the change actually happens.

The companies that move first on that shift will be in a stronger position to build momentum while competitors are still trying to catch up.