Reliable AI results that are useful in the enterprise depend on high-quality context, not model strength alone. LLMs need a robust context layer to tackle longer runs and increasingly complex work. 

This report takes a closer look at how context impacts the quality of results across enterprise AI tools. We discovered Glean’s results are preferred almost 2× as often as ChatGPT’s and 1.6× as often as Claude’s.

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Discover why context is foundational to enabling long-term value for AI 

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• Why indexing and high-quality context makes a difference in AI results
• Why Glean’s results were preferred almost 2× as often as ChatGPT’s and 1.6× as often as Claude’s
• The evaluation process, methodology, and results regarding model correctness and completeness