Agency economics

Turn AI visibility work into offers clients understand and approve.

VectorGap helps agencies create billable diagnostics, remediation sprints, recurring monitoring, and reporting packages by showing the evidence behind AI visibility gaps and the work needed to improve them.

Open playbooks

What the buyer can verify

Sell a diagnostic when the client asks what AI says about them.
Sell a fix sprint when the report identifies proof or extractability gaps.
Sell recurring monitoring when the client needs progress and competitor updates.
Sell quarterly preference reports when leadership needs recommendation-risk evidence.

€445

founding cohort

1+

client payback scenario

4

offer types

Safe ROI framing

Use economics, not exaggerated attribution claims

VectorGap does not need to claim direct revenue attribution to be useful. The stronger agency case is that it creates evidence clients can buy, work they can approve, and reports that support renewals.

Billable diagnostic

Package the first audit as a paid or strategic entry point that reveals competitor preference gaps and the first remediation backlog.

Fix sprint

Use proof gaps, source issues, hallucinations, and extractability blockers to scope a finite implementation sprint.

Recurring retainer

Rerun targets, compare providers, track competitors, update missions, and export progress reports every month.

Example pricing logic

A practical payback scenario for agencies

If one client engagement covers the software cost, the rest of the portfolio work becomes margin expansion. Exact pricing depends on your agency offer, client size, delivery capacity, and local market.

Diagnostic offer

Sell a focused AI visibility baseline that includes prompt evidence, source gaps, competitor preference, and the first fix plan.

Implementation offer

Turn approved missions into content, schema, entity, proof, and source-strengthening work.

Reporting offer

Retest and report movement so clients understand why ongoing AI visibility work deserves budget.