Measurable reliability advantage of strong context
In Glean’s evaluation, human graders selected answers grounded in its context layer as correct 1.9× more often than those built on ChatGPT’s company knowledge for complex enterprise queries—demonstrating that strong context improves answer reliability, reduces noise, and enables trustworthy agentic workflows.
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From enterprise search to enterprise context: what AI agents actually need
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The difference is measurable: in Glean’s evaluation write-up, Not all enterprise context is created equal , human graders who expressed a preference chose answers grounded in Glean’s context layer as correct 1.9× as often as those built on ChatGPT’s company knowledge for complex enterprise queries. Weak context makes agents work harder and trust less; strong context lets them retrieve precisely, pass less noise, and produce answers people can rely on.
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