A transportation management system supplier can have an excellent product, strong customer references, a capable sales organization, and an established position in the market. Yet a prospective customer searching for a solution may never encounter that supplier. Not because the company lacks the necessary capabilities, but because an AI-generated comparison has already presented a different set of alternatives.
This matters to companies selling logistics and supply chain technology. For years, suppliers have used search optimization, industry research, webinars, customer stories, and digital marketing to reach buyers. Those investments still matter. But AI-generated responses may now shape a buyer’s understanding of the market before that person visits a supplier website or contacts sales.
New research from Semrush, published October 21, illustrates the change in Google’s search results. Semrush tracked 400 U.S. desktop commercial keywords in banking, ecommerce, and software from September 2025 through August 2026. Google’s AI Overviews appeared for 88% of these keywords at the end of the study, up from 45.75%. Review searches reached nearly 90% coverage, while ‘best product for a particular use’ searches reached 96.12%. Weighted by estimated search volume, coverage was approximately 97% within the sample.
The study measured whether Google displayed AI Overviews, not whether other AI assistants recommended particular suppliers. It did not examine logistics technology specifically or measure clicks or conversions. Even with those limits, it offers a useful signal: AI-generated summaries are becoming a prominent part of commercial software discovery.
For suppliers of transportation management systems, warehouse management systems, supply chain planning software, visibility platforms, automation, robotics, and related technologies, the implications deserve attention.
The First Shortlist May Be Created Before You Know the Buyer Exists
Consider a distribution executive evaluating warehouse management software. The first question might concern the best WMS platforms for automated distribution centers, robotics integration, or complex omnichannel fulfillment. Google’s AI Overviews may summarize relevant options within search results; separately, AI assistants can generate their own supplier comparisons. Both can influence which names a buyer investigates, but the Semrush study measured only Google’s Overviews.
That changes the first stage of the sales process. Instead of examining a collection of websites and assembling a market landscape independently, the buyer may begin with a landscape that AI has already organized. Suppliers included in that initial comparison have an opportunity to be considered. Those omitted may face a more difficult path to consideration.
Smaller suppliers are not necessarily disadvantaged. A specialist may appear when its capabilities closely match the buyer’s requirements, without the marketing budget of a major software company. That opportunity depends on accurate, accessible information.
The distinction is important because logistics technology markets are not interchangeable collections of software products. A TMS focused on complex international transportation operates in a different environment from one designed for domestic freight procurement. Warehouse management solutions vary substantially in their ability to support robotics, labor optimization, high-volume fulfillment, and multitenant operations. Planning, visibility, and orchestration platforms may share similar marketing language while addressing very different operational decisions.
If an AI system cannot recognize those differences, a supplier’s technical differentiation may disappear within a generalized market description.
Supplier Positioning Has Become a Data Quality Problem
Much of the discussion about AI visibility focuses on search rankings, keyword strategies, and website optimization. Those considerations matter, but they do not fully address the problem facing enterprise technology suppliers.
The deeper issue is whether the information describing your company is accurate, sufficiently detailed, consistent across sources, and useful for evaluating your technology against real operational requirements.
A supplier describing its platform as an intelligent, end-to-end logistics solution provides relatively little information about what the system actually does. Does it optimize transportation decisions, execute warehouse workflows, coordinate autonomous equipment, manage exceptions, or connect planning decisions to physical execution? Which systems does it integrate with? Where does it perform particularly well, and what operational constraints must be considered?
Those are the distinctions enterprise buyers need to understand, and they are the distinctions AI systems must be able to retrieve and interpret.
In that sense, AI visibility is becoming a problem of technical precision and market positioning rather than simply producing more marketing content. A company may publish extensively and still fail to explain clearly which customers it serves, which problems it solves, and why its capabilities differ from competing approaches.
Suppliers should begin by examining the questions their prospective customers ask, comparing the answers generated by AI systems with their intended positioning, and identifying where the available information is incomplete or misleading. The objective is not to manipulate an algorithm. It is to make the company’s value proposition understandable and supported by evidence.
Where ARC Advisory Group Can Help
Independent market intelligence can help suppliers understand how their capabilities fit within a complex competitive landscape.
At ARC Advisory Group, we examine supply chain technology markets, supplier capabilities, adoption patterns, and changing buyer requirements. That work can help suppliers replace broad claims with a more precise market position.
Our MarketMap research provides one example. Across categories including transportation management, warehouse management, supply chain planning, autonomous exception management, and decision intelligence, ARC examines supplier capabilities and strategic direction within a structured market framework. These assessments are designed to help technology buyers understand their alternatives while providing suppliers with insight into the markets in which they compete. MarketMap positioning is based on independent research, not purchased placement.
ARC’s broader advisory work can help suppliers identify competitive opportunities, test buyer perceptions through voice-of-the-customer research, and assess market entry, product direction, and growth options.
Effective communication starts with an accurate view of the market. Product capabilities, customer profiles, buyer priorities, and competitive boundaries should inform the descriptions suppliers use on websites, in technical materials, and in customer discussions.
ARC does not determine how Google or another AI platform characterizes a supplier. What rigorous market intelligence can do is help suppliers develop a more defensible and consistent explanation of where their technology fits and why it matters.
Where Logistics Viewpoints Can Help
Logistics Viewpoints provides a complementary channel for market education, executive perspectives, and engagement with professionals evaluating logistics technology and operating strategies. Our coverage concentrates on transportation, warehousing, automation, fulfillment, visibility, logistics software, and the technologies connecting these functions.
Suppliers can contribute more than product announcements. A substantive discussion of warehouse automation, for example, should examine facility requirements, WMS integration, labor constraints, throughput economics, deployment complexity, and measurable results. That helps buyers understand the technology, not merely recognize a vendor name.
LV offers sponsored webinars, podcasts, executive discussions, and supplier spotlight programs for that kind of market education. When grounded in operating evidence, these formats can support informed buyer conversations and create material that remains useful beyond the initial event.
Independent editorial coverage remains distinct from commercial sponsorship. Advertising relationships do not determine editorial conclusions or ARC research assessments, and commercial programs should be clearly identified. That distinction matters because credibility is central to the value of industry information, particularly when buyers and AI systems are attempting to distinguish meaningful technical evidence from promotional claims.
Detailed articles, technical discussions, interviews, and presentations can make technology-market information accessible to buyers and potentially to AI systems. Publication, however, does not guarantee citation or inclusion in an AI-generated answer.
Connecting Market Intelligence, Visibility, and Sales Opportunities
ARC can help clarify a supplier’s market position and the evidence behind its value proposition. LV can provide industry-facing programs that explain operational problems, demonstrate relevant capabilities, and engage prospective buyers.
Consider a company introducing an AI-enabled transportation orchestration platform. ARC’s research can help clarify where the offering belongs relative to TMS, transportation visibility, autonomous exception management, and decision intelligence. That distinction affects the supplier’s positioning, the competitors it encounters, and the questions prospective customers will ask.
LV programs could then examine the operating problem: how transportation exceptions are identified, which decisions can be automated, how systems interact with carriers, and where human intervention remains necessary. A webinar or executive interview can turn those questions into a useful discussion and reusable sales-education material.
The results should be measured with commercial discipline. Traditional metrics such as qualified inquiries, webinar participation, content engagement, and sales opportunities remain important. Suppliers should also begin assessing how accurately AI systems represent their products, which competitors appear in relevant comparisons, and whether their market positioning is becoming clearer across digital channels.
Visibility is valuable, but visibility that does not lead to understanding or qualified engagement has limited commercial value.
The Supplier’s Next Competitive Challenge
Google’s growing use of AI Overviews in commercial searches is one visible part of a broader shift in how buyers find suppliers and interpret markets. Other AI assistants may also influence discovery, although their behavior was not measured in the Semrush study.
Supply chain technology purchases will continue to require rigorous assessment. Buyers still need demonstrations, reference checks, integration analysis, implementation planning, and financial justification. No credible AI-generated summary can replace that work. But the information encountered before those formal evaluations begin may increasingly influence which suppliers receive the opportunity to participate.
For technology companies, this makes market understanding and communication more closely connected than ever. Competitive differentiation must be technically meaningful, supported by evidence, and explained consistently across the channels buyers use to research the market.
ARC’s market research and LV’s industry engagement programs address related but distinct needs: credible competitive understanding and substantive communication with prospective buyers.
The question for suppliers is no longer simply whether a prospective customer can find your company online. It is whether, when that customer asks AI which suppliers deserve consideration, your company is part of the answer, and whether the explanation is accurate enough to earn the next conversation.
If you are a supply chain technology supplier considering how AI is changing your visibility, competitive positioning, or market engagement strategy, I would welcome a discussion about where ARC and LV can help.
Jim Frazer
Vice President, Supply Chain Services
ARC Advisory Group
jfrazer@arcweb.com
The post AI Is Changing How Supply Chain Technology Buyers Find Suppliers. Are You Part of the Answer? appeared first on Logistics Viewpoints.