UK B2B buyers use AI for vendor research before talking to sales
Nearly half of UK B2B buyers now rely on generative AI to research vendors and products before engaging with sales teams, shifting the balance away from traditional discovery methods. However, slow response times and integration challenges remain key frustrations for IT decision-makers, signaling that loyalty may be fragile despite seemingly strong renewal rates.
Editor, Lazyfounder

AI reshapes how B2B buyers discover vendors
AI has become the primary source of information for B2B buyers in the UK, according to insights published by TechRadarPro. Nearly half of B2B buyers—45%—now use generative AI tools to research vendors and products before initiating any human contact. This shift places AI ahead of traditional sources like vendor websites, sales representatives, and product experts.
The Managing Director of BT Wholesale highlighted that customers increasingly prioritize providers who simplify integration and focus on delivering measurable business outcomes. Buyers are less interested in additional features and more in solutions that reduce their operational burden.
Persistent pain points in vendor relationships
Despite seemingly strong renewal rates, UK IT decision-makers report ongoing frustrations with vendor relationships. Nearly half cite slow response times as a persistent issue, while 40% flag integration challenges that remain unaddressed. These problems suggest that loyalty may be superficial, with customers likely to switch providers if better alternatives emerge.
The digital skills gap exacerbates these challenges. The skills required for digital roles are evolving 66% faster than in other jobs, according to the UK Government’s 2026 skills assessment. Smaller businesses are disproportionately affected, as they have less access to the training needed to keep pace with these changes.
Why this matters for technology providers
The rise of AI-driven discovery means vendors must adapt their customer engagement strategies. Traditional outreach methods like sales calls or static website content are no longer sufficient. Providers must ensure their solutions are easily discoverable and evaluable through AI tools, a practice increasingly referred to as generative engine optimization (GEO).
Integration challenges and slow response times are not just operational issues—they directly impact customer retention. Vendors who position themselves as strategic advisors, rather than just product sellers, are more likely to retain customers in a competitive market.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
This shift in B2B buying behavior signals a broader transformation in how technology providers must engage with customers. Vendors can no longer rely solely on direct sales or marketing efforts; they must optimize for AI-driven discovery. This requires a focus on structured, accurate, and accessible data that AI tools can surface when buyers research solutions.
For founders and operators, this means rethinking how product information is presented. Instead of burying details in PDFs or behind paywalls, providers should ensure key differentiators—such as integration ease, response times, and business outcomes—are transparent and machine-readable. Companies that excel in GEO will have a competitive edge as AI adoption grows.
The persistent frustrations around response times and integration also highlight an opportunity. Vendors who proactively address these pain points—by offering faster support, clearer documentation, or pre-built integrations—can differentiate themselves in a crowded market. The message is clear: customers want partners who reduce their workload, not add to it.
Related on Lazyfounder
Sources
- TechRadar · 2026-10-23
The loyalty illusion: Why happy customers are shopping around
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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