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Dec. 10, 2025, 1:25 p.m.
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Study Reveals AI Platforms Provide Inaccurate B2B SaaS Pricing and Feature Details in 62% of Queries

Brief news summary

A Kodec AI study revealed that AI platforms provided incorrect pricing or feature information in 62% of buyer queries about B2B software from Series B+ SaaS companies in tech and finance. Analyzing over 200 query cycles, researchers found AI often relied on outdated reseller listings and competitor-generated content instead of official company data, causing a “Rogue Sales Rep” effect. Mistakes included quoting discontinued free tier prices, blending reseller with official data, and misattributing competitor features, leading to significant revenue losses and missed deals. The root cause is the absence of authoritative, machine-readable knowledge graphs, forcing AI to depend on unreliable web sources. As AI increasingly influences procurement, these inaccuracies risk unfairly excluding vendors. Kodec AI offers Search Infrastructure solutions to help enterprises audit and govern AI data through structured, trustworthy information. Founded by experts in vector databases and retrieval systems, Kodec aims to make AI search a reliable revenue channel. More at https://www.kodec.net.

Newark, DE, Dec. 10, 2025 (GLOBE NEWSWIRE) — According to a recent study by Kodec AI, AI platforms provided incorrect pricing or feature details for B2B software products in 62% of simulated buyer inquiries. The analysis encompassed over 200 query cycles involving Series B+ SaaS companies within the technology and financial services industries. Buyers often receive AI-generated pricing derived solely from third-party reseller listings, shaping their initial impressions. The research team evaluated top AI search platforms by using automated engines to replicate typical buyer questions, including pricing checks, feature comparisons, and product capability inquiries. The study revealed that AI platforms frequently overlooked official company sources, favoring outdated third-party content, reseller listings, and competitor-produced “Best Alternatives” articles instead. Termed the "Rogue Sales Rep" Problem, this behavior involves AI models delivering inaccurate information lacking a verified source of truth. The data highlighted three main failure categories: - Revenue Undercutting: AI quoted discontinued “Free Tier” limits, setting buyers’ expectations at zero cost prior to sales team engagement. - Conflated Data: Pricing information was extracted from third-party cloud marketplace reseller listings rather than official pricing pages. - Fabricated Features: Platforms referenced competitor-authored “Best Alternatives” articles, wrongly attributing capabilities to products. “These are revenue leaks, not minor glitches, ” stated a Kodec AI spokesperson.

“When an AI agent misquotes enterprise pricing, companies risk losing deals. ” The study identifies a key technical deficiency: businesses lack machine-readable knowledge graphs that AI systems can recognize as authoritative. In the absence of structured data, AI models resort to scraped web text. This problem grows increasingly critical in an evolving “agentic” web environment, where AI tools perform tasks on behalf of users—such as comparing vendors or starting procurement processes. Here, unverified data can cause vendors to be dismissed outright. To ensure proper visibility, Kodec AI provides Search Infrastructure enabling enterprises to audit their AI presence and implement governed data architectures that AI platforms can reliably source. About Kodec AI Kodec AI is an engineering company developing the future of search infrastructure. Founded by specialists experienced in vector databases and large-scale retrieval systems, Kodec assists brands in transforming AI search into a predictable and controlled revenue stream. Press contacts Kodec AI Website: https://www. kodec. net Ganga Kharka Email: ganga@joinkodec. net Address: 131 Continental Dr, Suite 305 A related video is available here: https://youtube. com/watch?v=bdz2cqCFSIA


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Study Reveals AI Platforms Provide Inaccurate B2B SaaS Pricing and Feature Details in 62% of Queries

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