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.
Supporting evidence
From enterprise search to enterprise context: what AI agents actually need
Original excerpt
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.
Share insightCheck this claim