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AI trends in B2B ecommerce search 2026
B2B organizations are advancing their AI adoption by integrating a range of AI-powered systems and processes. This eBook, pulled from the pages of Algolia’s 2026 B2B Ecommerce Site Search Report shows that the wide variety of AI technologies is having a positive impact on the B2B experience while addressing the particular needs of B2B players operating in markets around the world.
With longer sales cycles and more complex buying motivations, B2B organizations operate within a distinct ecosystem that is being reshaped by emerging AI-powered tools and capabilities.
Based on the results of the Algolia 2026 B2B Report, players across key markets are focused on building relationships, demonstrating long-term value, and showing return on investment (ROI) that is transforming the future of B2B.
The sector remains buoyant, with online revenue representing a meaningful share of total income—between 26% and 50% for many businesses—while digital capabilities increasingly influence both sales enablement and operational efficiency.
As AI becomes integrated into our daily lives, it is increasingly viewed as a baseline feature of the B2B ecosystem. Typically favored for search and discovery solutions, AI is now a must-have capability that helps businesses boost conversions and power innovative customer- and employee-facing solutions.
Unsurprisingly, a significant majority of respondents (83%) report they are more likely to prioritize AI capabilities when building and implementing search and discovery solutions.
Alongside search and discovery, AI is also helping businesses build strong differentiators. B2B organizations are prioritizing AI to increase productivity among customer-facing teams and are actively exploring innovative gen AI use cases. AI investment is a decisive driver of competitive B2B strategy. It powers the tailored capabilities B2B players need and fuels the high-impact customer and employee experiences that set market leaders apart.
Data clearly demonstrates how the focus on AI technology has shifted. Going beyond search and discovery implementations, respondents are looking for solutions that address very specific business challenges that are both process-oriented and customer-facing.
B2B companies are taking a more thoughtful and considered approach to AI implementation. They are paying more attention to improving the customer experience at critical touchpoints along the B2B ecommerce sales funnel and back-end processes.
As B2B organizations accelerate their digital transformation, they’re also scaling their AI adoption. Many have moved past early experimentation, with enterprise-wide implementation rising from 13% to 20% over the past year.
Since 2024, 71% of respondents report that their digital transformation efforts have accelerated. As a consequence, it comes as no surprise that investments are now leveling off as B2B organizations look ahead to the future.
Among large-revenue companies in particular, advanced technologies are being implemented across a range of use cases and maturity levels. For example:
Given the size of prior investments, many B2B organizations are taking a more conservative approach to new search and discovery spending in the year ahead. Instead of simply expanding them, the sustained importance of existing online channels is shifting focus toward strengthening and optimizing current capabilities.
AI’s ability to analyze vast amounts of data and provide the insights and tools to shape the customer experience is unmatched. While B2B revenue continues to rely heavily on offline, person-to-person channels, longer sales cycles, special terms, and larger orders, B2B organizations understand the importance of AI-powered search and discovery to drive growth, generate market differentiation, and improve the customer journey. Companies also understand that their online channels are a parallel resource that they must nurture to support marketing and sales goals and presence in an often tight and competitive market.
While 24% of respondents still cite online security as a key concern, most offline sales continue to rely on traditional channels and time-tested approaches that are deeply rooted in the B2B ecosystem.
Rather than disrupting tradition, businesses are enhancing and supporting these channels with search and discovery tools and AI-powered solutions designed to benefit both clients and employees.
Consequently, adoption is increasing, and AI capabilities are becoming a more common and integral part of B2B. Professionals in the sector view the technology as positively driving brand funnel conversions, especially among large revenue organizations.
Nearly half of respondents (46%) indicated that AI capabilities significantly influence their choice of search and discovery solutions, particularly those that enhance and shape the user experience and journey, underscoring broad confidence in the technology’s value.
While AI capabilities continue to be favored for search and discovery solutions, there is evidence that offering a wider array of AI-powered features is increasingly part of must-have capabilities that can help businesses build strong differentiators. In the past year, a significant 83% of respondents have been much more likely to select AI and gen AI for building and implementing search and discovery solutions.
AI adoption in B2B ecommerce is on the rise, with 71% of businesses leveraging the technology: this is up from 67% in 2025. Meanwhile, the share of organizations only somewhat familiar with AI has dropped from 13% to 10% over the same period.
As awareness and acceptance of gen AI capabilities increase, AI adoption evolves, becoming more sophisticated and embedded in a wider range of critical processes. This is evident in the data, which shows systemic adoption rising from 13% to 20% over the past year.
When asked to anticipate adoption stages two years from now, active, systemic, and transformational AI processes are predicted to see a significant increase across the B2B ecosystem.
AI remains a key component of long-term strategy for 95% of respondents, holding steady from last year. At the same time, AI investment plans have become more considered and deliberate moving forward.
Though the number of respondents who haven’t invested in AI or have no plans to invest in the next two years has gone down from 19% to 13%, a quarter of respondents still have no plans to invest in the technology during the same period.
The share of businesses that have already invested in AI and intend to expand their investments remains significant, increasing from 42% to 45%. Additionally, the proportion of organizations planning to begin their AI journey within the next one to two years has risen from 14% in 2025 to 17% in 2026.
With adoption increasing and AI capabilities becoming more common, nearly half of respondents (46%) indicate that AI capabilities significantly influence their selection of search and discovery solutions.
Additionally, 68% agree that the advantages of AI-enabled search technologies outweigh potential risks, underscoring broad confidence in the technology’s value.
B2B organizations are actively piloting or exploring gen AI across a range of use cases, with inventory management (37%), data analysis for advanced insights (40%), and chat-based search experiences (42%) being the most relevant.
Close to 69% of B2B ecommerce leaders expect generative AI to influence their organizational plans within the coming year. Intellectual property and copyright top the list of concerns, with 75% of respondents somewhat worried about AI’s effects on these issues.
Preparing the workforce for advanced AI or other emerging technologies is primarily being done through internal upskilling programs and eLearning, according to the data. Over a third of B2B businesses (36%) are using internal upskilling programs, while another 36% are using eLearning platforms such as Coursera and LinkedIn Learning.
Other digital experiences, in addition to online security, that respondents identified as needing improvement at higher levels than last year include:
Optimizing inventory management is understood as a major opportunity for B2B growth. Customers continue to face hurdles in tracking product availability, forecasting demand, and seamlessly aligning online and in-store data. As a consequence, these areas are perfectly positioned to deliver smarter solutions that can deliver a clear competitive edge.
Digital experiences identified as needing improvement, but at levels that went down when compared to the 2025 B2B Report, include:
Though these decreases are nominal, ranging from 2% to 4%, they suggest subtle yet important shifts in approach.
The more mature strategies adopted by B2B organizations focus on enhancing and protecting the user experience while optimizing key back-end processes—benefiting both teams and customers and driving stronger bottom-line results.
With increasing competition and evolving buyer behavior, businesses are leveraging data-driven marketing, automation, and personalized content to reach decision-makers more effectively.
Alongside supply chain optimization, better business process automation, and enhanced data management, digital marketing tools help organizations strengthen visibility and improve the sales funnel for customers and employees alike.
By adopting more advanced AI and gen AI digital marketing and analytics tools, B2B companies can accelerate engagement, expand their market reach, and achieve sustainable growth in a highly dynamic and competitive ecosystem.
The key steps B2B organizations are taking to integrate AI are shifting from AI exploration and setup to supporting the implementation of AI solutions, such as developing AI integration roadmaps (42%) and investing in workforce upskilling (40%).
The areas where B2B businesses are leveraging AI most significantly have also changed from previous years. There is increased focus toward automating orders, streamlining operations and reducing costs, and personalization. For 34% of B2B retailers, road mapping remains a top AI integration step.
B2B organizations are accelerating AI adoption, with a growing number of respondents using AI to automate order processing—up from 23% in 2025. However, 33% cited high implementation costs and 29% pointed to uncertain ROI as major barriers to adoption.
Numerous B2B companies are increasingly automating or extensively embedding AI across their back-end operations, with eProcurement emerging as the most widely adopted digital solution.
Although many B2B organizations had plans for multiple digital transformation initiatives over the past year, the majority concentrated on those directly advancing their digitization efforts —such as upgrading IT infrastructure (86%), implementing digital skills training and workforce upskilling (79%), and strengthening cybersecurity measures (71%).
When it comes time to implement a gen AI-powered solution, B2B tools like Algolia AI offer a range of intelligent capabilities. Popular gen AI use cases that harness the power of our search and discovery capabilities and tools include:
While inventory management, market insights, and trend identification remain relevant uses for AI-powered solutions like Algolia AI Search, the data suggests there are now even more impactful opportunities for AI within the sector.
Growth-oriented B2B players are looking to AI-powered segmentation, planning, search, and personalization tools to open new avenues for smart capabilities. Areas that respondents identify as the most impactful uses for AI applications include:
B2B businesses often take an approach that involves testing solutions across one or two departments before implementing workflows systemwide. For close to 70% of respondents, gen AI will impact their organization’s roadmap over the next 12 months.
The use of AI in improving product data quality has fallen from 25% to 16% in this year’s report. The use of AI in supply chain optimization and inventory management has similarly fallen from 21% to 9% over the same period. This suggests that the initial roll-outs did not match the hype—as the next point illustrates, there is a strong need for the efficiencies AI delivers.
Enhancing search has remained consistent over the past year at 21%. The findings also suggest that B2B organizations feel AI can help them solve a wider range of challenges than in the previous year These challenges include:
IP, compliance, and copyright concerns are also issues of concern for a significant number of B2B businesses. As a result, it is not surprising that businesses rely on legal teams to ensure tools are in line with compliance standards.
Concerns about AI-generated content leading to potential IP or copyright issues:
B2B businesses have been busy implementing solutions that have been the planning stages the last two years. For example, 38% of respondents had plans to enhance cybersecurity measures. By 2026, 71% had actually implemented effective solutions into business methodology.
In all these instances, existing plans have been brought to life, with AI now effectively integrated into business workflows and processes. This marks a significant shift from a testing and planning mindset to one focused on implementation and execution.
Looking ahead, we’re seeing notable increases in initiatives aimed at enhancing cybersecurity measures, developing mobile apps for B2B ordering and customer engagement, and upgrading existing systems. These activities were planned or initiated within the past year.
Cybersecurity and a focus on mobile apps were top contenders for digital transformation initiatives. While adopting AI and ML technologies remained within the top five in this year’s report, their relative importance declined from 41% to 37%.
As B2B ecommerce organizations prepare for 2026, priorities are changing. Respondents are looking for solutions that address very specific business challenges and generate bottom-line results. The data reflects a more thoughtful and considered approach to AI implementation. The data also suggests that ecommerce B2B businesses are paying more attention to improving the customer experience at critical touchpoints along the B2B ecommerce sales funnel.
As businesses expand globally, they recognize the importance of tailoring messaging, branding, and customer experiences to regional languages, cultures, and business practices.
AI-powered solutions will be a critical part of the new B2B toolbox as companies move forward. The localization of content and sales strategies sits alongside personalization and data insights to drive human connections and sales.
Building trust, enhancing engagement, and increasing conversion rates by aligning with local clients is not just a marketing tactic. It is also a strategic necessity for sustainable global B2B growth. B2B organizations recognize that generative AI is transforming core elements of the sales, marketing, and customer support ecosystem in ways that are impacting both customers and employees. From AI-driven search and back-end operations to advanced analytics, generative AI is quickly becoming a foundational capability for modern B2B ecommerce platforms.
As personalization deepens and operational intelligence improves, AI will continue to play a central role in helping B2B organizations expand into new markets, strengthen customer relationships, and drive sustained revenue growth.
The B2C Site Search Trends Report takes a detailed look at the critical issues driving search and discovery for retail and ecommerce businesses in key North America, Europe, and APAC countries.
Based on data assembled from an equal number of IT and business decision makers, respondents included CIO, CTO, and CDO officers responsible for driving search and discovery in ecommerce businesses with revenues ranging from $100 million to $5 billion.
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