How do LPs use search results during fund due diligence?
LPs use diligence search as a corroboration tool, checking whether the data-room narrative matches the public record: validating management quality, surfacing undisclosed litigation or regulatory history, and testing strategy and track-record consistency. That check now runs through AI engines like ChatGPT and Perplexity as well as Google.
LPs use search during diligence as a corroboration tool: it tells them whether the story in the data room matches the public record. The point is not to discover the manager from scratch; it is to pressure-test the narrative the GP has already presented.
Three things an LP is checking
- Management quality and stability
- Whether the team is as strong, experienced, and stable as the pitch claims, and whether third-party accounts of the principals line up with the data room.
- Undisclosed litigation or regulatory history
- Litigation, enforcement actions, or regulatory history the GP did not volunteer, the kind of gap that becomes a question in the next call.
- Strategy and track-record consistency
- Whether the firm’s stated strategy and track record line up with how independent third parties describe them, or whether the public account contradicts the deck.

The diligence query now runs in two channels
The newer wrinkle is that this no longer happens only in Google. Diligence teams now also ask ChatGPT or Perplexity to summarize a manager, and they treat gaps or contradictions in that summary as flags worth raising. The same three checks, management, undisclosed history, narrative consistency, are now run across both the Google channel and the AI-engine channel.
We monitor both layers for fund clients with IMPACT™ and AIQ, so a GP walks into diligence already knowing what an LP’s search will return and where the narrative needs reinforcing.
Last reviewed: 20/05/2026