Jack AM Austin · 2026-09-24
LinkedIn Outreach Without Fake Personalisation
Replace scraped personal details and forced rapport with honest relevance, useful next steps, human accountability and clear permission to decline.

A system finds that someone ran a marathon, asks why, receives a personal account about a parent with cancer and then replies with a question about qualified leads.
The first line was personalised. The conversation was not human.
Fake personalisation uses a true detail as camouflage for an unrelated commercial sequence. The detail may come from careful research or an AI tool. The problem is the pretence that attention to a profile equals care about the person.
Choose relevance over manufactured intimacy
Relevance connects the reason for contact to the recipient’s professional situation. Manufactured intimacy mentions a dog, holiday, university or family story because the system expects warmth to lower resistance.
A useful test is simple. Remove the personal detail. If the reason for contacting this person disappears, the message may be relevant. If the pitch remains unchanged, the detail was decoration.
Use four honest parts
First, state the professional signal that made the person relevant. Use a role, active project, public business problem or explicit request rather than a personal breadcrumb.
Second, name the problem or opportunity you believe may apply. Keep it narrow enough to be corrected.
Third, offer a useful next step that can stand on its own. A diagnostic, example, tool or concise explanation gives the recipient a reason to engage before a call.
Fourth, leave a real exit. The message should allow a quick no or silence without pressure, guilt or a sequence pretending the person owes a response.
Give AI the preparation work
AI can collect public professional signals, sort a list against clear criteria, flag missing information and prepare a draft for review.
The human remains responsible for why the person is being contacted, whether the inference is fair, what claim is made and what happens after a sensitive reply.
An automated system should never respond to grief, illness, family or another vulnerable disclosure as if it were a qualification event. That is a judgment boundary, not a tone setting.
Personalise the offer through fit
The strongest personalisation often happens before the sentence is written. A tight audience, one relevant problem and a resource built for that situation reduce the need for elaborate profile references.
The message becomes specific because the offer fits. The recipient can understand why they received it without being shown how much of their profile was scraped.
Audit the transition
Read every message sequence at the point where rapport turns into business. Abrupt transitions reveal the hidden script.
If the person answers the opening sincerely, the next message must respond to what they actually said. When the commercial question would feel absurd after that reply, the system needs a human decision or a stop condition.
Use the plain version when it is truer
A direct professional message can feel less clever and more respectful. State the reason, the relevant idea and the useful next step.
Ask about the dog only when you intend to finish the conversation about the dog. Ask about the business when the business is the reason you wrote.