Build an Evidence Library Before You Build an AI Content Engine

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A marketing team asks an assistant to write a service page. The assistant finds three internal documents with different prices, an old presentation with a retired credential, and an impressive customer result whose publication permission nobody can locate.

The resulting paragraph may read well. The failure happened before writing began: the organization supplied content without an agreed evidence boundary. More sophisticated generation does not settle which claim is current, approved, or appropriate for public use.

Disclosure: I am the founder and CEO of INSIDEA, an Elite HubSpot Partner. This article reflects practical experience and independent research. It is not sponsored by HubSpot or any other company mentioned.

I would build a marketing evidence library before expanding an AI content program. This means a maintained relationship between claims, sources, owners, permitted uses, and review dates. It is a proposed editorial control, not...

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