boltTLDR
Most B2B sites let AI agents extract content, but pricing pages consistently fail—driving agents to third-party sources instead—because of opacity, poor machine-readability, or access friction.
Search Engine Land reports on a study analyzing how AI agents navigate B2B websites, revealing that pricing pages are the critical breaking point. The research found that agents successfully retrieve pricing from first-party sites only 79% of the time and cite them in 84% of cases, compared to 93%+ success rates for integrations and security info. When agents can't reliably extract pricing, they reconstruct it from editorial content, review directories like G2 and Capterra, and low-trust aggregators—often mixing outdated or incomplete information. The three root causes are opacity (hidden or vague pricing), machine-readability failures (prices trapped in JavaScript, calculators, or PDFs), and access friction (blocking or rate-limiting bot traffic), with the author providing concrete fixes including plain-text price disclosure, schema.org markup, and allowing AI crawlers in robots.txt.