Get Found

Paid that pays back, measured to revenue.

Targeted Google, Meta, and PMax campaigns built around revenue attribution — not impressions, not 'engagement,' not whatever the platform wants you to optimize for.

Last 30 days
$184,302
Attributed revenue · +28%
all channels
Google Search$78.4k
Meta$52.1k
Performance Max$28.6k
Direct / Organic$16.2k
AI referral$9.0k

Intent-first targeting

Campaigns built around the prompts and queries customers actually use right before they buy. Not 'awareness.'

Revenue attribution

Every dollar tied back to the bookings, orders, and transactions it produced. The number you actually report on.

Cross-channel orchestration

Search, social, PMax, and AI-referral working together — not five vendors fighting for credit on the same conversion.

How it works

1

Audit current spend

We pull last 90 days across every channel and find the leaks. Most operators recover 15-25% of their budget in the first month.

2

Restructure & launch

Rebuild campaigns around revenue intent, set up unified attribution, and turn off what isn't paying back.

3

Optimize weekly

Continuous tuning informed by your unified analytics dashboard. Not a monthly PowerPoint — a living dashboard.

Stop paying for impressions.

Paid Search & Social is fully managed inside the Revenue Engine. Same team that runs your site runs your media — so attribution actually works.

Free audit worksheet

The AI Citation Audit Worksheet.

The 25-prompt framework we use to score how often a brand gets recommended by ChatGPT, Claude, Gemini, and Perplexity — plus the structured-data fixes that move the score the fastest.

  • 25 prompts to test, by intent (research, compare, recommend)
  • Scoring rubric: visibility, accuracy, sentiment
  • The 7 schema gaps that block AI citations

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