AI Marketing Execution Systems

What this looks like in practice

Once a month, a 30-minute review session: you confirm the next 30 days of posts, review requests, and outbound. Between sessions, the system handles the cadence. LinkedIn posts drafted from your wins, your jobs in the field, and a backlog of source material we capture once. Google review requests sent on a schedule to past customers, pulled from your job history, with the right delay since their work was completed. Outbound segmentation pulled from your CRM and queued for one-click approval.

Drafts always land in front of you before they go out — for posts, you see the next two weeks at a glance and can kill, edit, or approve in batch. For review requests, you see the customer list and can opt out anyone you do not want to ask. The schedule is real and the system does not skip dates because nobody opened a tab. Tools we typically use: Make or n8n for orchestration, your CMS or scheduling platform (Buffer, Hypefury, or direct posting), Google Business Profile for review-request flows, and your CRM as the customer source.

What the business experiences differently: the marketing that used to sputter for two weeks and stop runs continuously. Review counts climb without anyone running a “review request campaign.” LinkedIn presence accumulates without the owner sitting down on Sunday night.

Where this fits best

Local service businesses with a real customer base and underused marketing channels — typically 100+ past customers, an owner or GM with a public-facing role, and a neglected Google Business Profile. Less useful for businesses with no organic-marketing motion at all; the system surfaces the absence rather than fills it.

What this isn’t

This is not a paid-ads engagement. We do not run Google Ads or Meta Ads campaigns. This is organic execution — content, reviews, owned audience cadence. If you need paid acquisition, the audit will say so and recommend a different partner.