AI slop
Low-effort AI-generated content and outreach: template mail with a first-name merge, generic flattery, obviously machine-written notes. LinkedIn now lets users flag it with a dedicated report option.
Review writing for factual accuracy, a clear point, and relevance to the recipient. A researched reference can help, but only when it supports a useful reason to contact. LinkedIn's AI-slop feedback option concerns perceived content quality; it does not certify whether a model wrote the text.
In practice
Replace a generic congratulation with one verified observation from the recipient's work, then check that the proposed offer follows from it.
What to check
A specific reference can still be wrong or irrelevant. Review facts, tone, and the reason to contact; superficial personalization is not evidence of quality.
Use it in LinkedBoost
- get_knowledge
Read saved notes about the workspace, a person, or a company.
- update_lead_messages
Revise an enrolled person's unsent copy without changing everyone's sequence.
Source reference
Related terms
- Personalization
- Making a message specific to its recipient. In 2026 the word covers two opposite things: merge-variable insertion (template personalization) and research-based writing (actual personalization).
- Value proposition
- The one-sentence answer to 'why should this specific person care, now?': the claim your outreach makes, which the rest of the message exists to make credible.