Package AI visibility evidence into services clients can approve.

These playbooks turn VectorGap audits into sellable agency motions: diagnostics, fix sprints, recurring retests, executive reviews, and competitor displacement campaigns. Playbooks only become buyer value when each service motion is backed by report evidence, pricing proof, and recurring delivery capacity.

Inspect playbook report proof Review proof before payment

Perception shows what AI answers currently say: how systems describe, trust, price, and recommend the brand.
Preference shows which brand AI chooses when the client is compared with named competitors, and which proof gap made the choice easier.
The Generative Brand Index summarizes Presence, Perception, Preference, AI Readiness, missing evidence, and confidence in one executive 0-100 view.
Presence and AI Readiness explain whether the brand appears for buyer problems and whether current market proof can be retrieved, cited, and defended; missions, retests, and exports turn the gap into agency work.

standard providers

LLM prompts

Preference prompts

0-100

Generative Brand Index

Entry offer

Baseline diagnostic

Start with one brand, market, language, persona, and competitor set so the client sees the exact answer gap.

Delivery offer

Fix sprint

Turn proof, source, schema, entity, and extractability gaps into scoped remediation work.

Retention offer

Retest report

Repeat the same target and package movement, unresolved gaps, and next scope into a client-ready report.

Six agency playbooks for recurring AI visibility revenue

Each playbook starts with evidence, turns gaps into client-approved work, and ends with retestable reporting.

7-day GEO fix sprint

Audit the highest-intent prompts, fix extractability and proof gaps, then retest the most important provider/category targets.

Monthly AI visibility retainer

Review prompts, competitors, providers, markets, remediation progress, and comparable retests every month with client-ready exports.

Quarterly Preference report

Show which brands AI chooses across categories and what the client should strengthen before the next quarter.

Competitor displacement campaign

Find the competitor that AI keeps choosing, identify why, and build comparison-safe public proof to counter it.

Local-market AI visibility audit

Segment by country, language, and persona so each priority market has its own evidence and fix plan.

Executive AI visibility briefing

Summarize the business risk, evidence, competitor pressure, and next actions in a format leaders can approve.

Playbook → report proof → Agency OS

Playbooks only become buyer value when each service motion is backed by report evidence, pricing proof, and recurring delivery capacity. Route readers from the service idea into the report artifact, then into proof-before-payment pricing before Agency OS becomes the operating plan.

Inspect playbook report proof

Show how a baseline diagnostic, fix sprint, retest retainer, and executive briefing become a client-ready report with evidence, Mission Control actions, and the next approved scope.

Open page

Reduce payment risk

Pricing proof-before-payment lets the agency compare the service playbook against the GBI, report shape, credits, seats, and recurring audit workflow before it buys.

Open page

Buy the operating capacity

Agency OS turns playbooks into portfolio audits, remediation missions, same-target retests, exports, and client-ready reports across client brands.

Open page

Which evidence does AI need before it can reuse the page?

This table turns the page into a structured extraction target: the buyer question, the evidence an AI system can read, and the action an agency can sell or execute next.

Buyer question	What AI can extract	Agency action
Which offer should the agency sell first?	The playbook starts with a baseline diagnostic: prompt evidence, competitor context, source gaps, and first remediation backlog.	Sell the baseline before promising ongoing work so the client can approve a concrete fix path.
Which work becomes the fix sprint?	Weak answers usually point to proof blocks, FAQ/schema cleanup, entity facts, source repair, or comparison-safe pages.	Scope the sprint around the few public assets most likely to change the next answer.
How does the retainer stay defensible?	Comparable retests show whether the same provider, market, persona, and competitor target changed after remediation.	Use the monthly or quarterly report to show movement, unresolved risks, and the next approved scope.

Questions agencies ask before turning AI visibility into client work

Which AI visibility playbook should an agency start with?

Start with the baseline diagnostic unless the client already has a known source, schema, or competitor-preference gap. The baseline gives the evidence needed to choose the right sprint.

How do playbooks support recurring revenue?

They create a repeatable delivery rhythm: diagnose, ship proof/source/entity fixes, retest the same target, report movement, and recommend the next scope.