How does Five Blocks approach a brand in the middle of an M&A process?
Five Blocks structures M&A reputation work around the deal timeline: a confidential diligence-grade audit pre-announcement, daily AIQ monitoring of both target and acquirer narratives during the deal window, Wikipedia/Wikidata updates prepared for the day of close, and post-close entity integration to unify the combined entity's digital infrastructure.
M&A work runs on a different cadence than standard reputation engagements, because the deal timeline sets the pace for everything. Five Blocks structures each engagement across four phases that track how deal communications actually unfold.
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Pre-announcement: confidential audit
Before anything is public, Five Blocks runs a diligence-grade assessment of the target’s digital footprint. This covers the Wikipedia article state, the Wikidata entity record, the AI narrative profile across major engines, and any contested or legacy content that could surface during the deal window or complicate post-close positioning. The work is scoped and delivered under confidentiality.
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Deal window: daily AIQ monitoring
Once the deal is active, AIQ™ runs daily monitoring on the target, the acquirer, and the emerging combined-entity narrative. AI engines often begin producing combined-entity descriptions before the communications strategy has settled on what those descriptions should say. During this phase, knowing in real time what each engine is saying, and why, is an operational need rather than a nice-to-have.

Five Blocks structures M&A reputation engagements across four deal-aligned phases, from confidential pre-announcement audit through post-close entity integration. -
Day of close: Wikipedia and Wikidata update
Wikipedia and Wikidata edits are prepared in advance so the structural updates land cleanly the day the transaction closes, rather than trickling in over the following weeks, when the public record would still contradict the new corporate reality.
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Post-close: entity integration
After close, work shifts to integrating the entity infrastructure under the new corporate structure and correcting any residual narrative drift across AI engines, so the combined entity is described consistently and as it intends.
Last reviewed: 19/05/2026