Baseline
AI-answer risk found
The first report shows recommendation gaps, source gaps, competitor pressure, and the fix backlog the client can approve.
Turn AI answer gaps into a monthly evidence retainer.
VectorGap gives agencies the service ladder behind recurring AI brand diagnostics: one-time baseline, 30-day remediation sprint, monthly retest and report, quarterly competitor refresh, and annual AI visibility strategy review. The retainer economics should be proven before checkout with report proof, pricing proof, and the Agency OS operating path.
- Start with a one-time baseline that proves where AI answers omit, misclassify, or under-cite the client.
- Sell a 30-day remediation sprint around source repair, proof blocks, schema/entity cleanup, and extractability fixes.
- Retest the same providers, markets, personas, competitors, and prompt categories every month.
- Use quarterly competitor refreshes to show which brands AI now prefers and what the client should fix next.
5
retainer stages
7
standard providers
1
repeatable client report
Retainer work
Gap → sprint → retest
Each month connects shipped proof, schema, entity, and source work to the same-target retest that proves movement.
Renewal proof
Report → next scope
The client sees answer excerpts, provider variance, competitor movement, completed missions, and the next action plan.
How do agencies package GEO into retainers?
The retainer should not be sold as a passive dashboard. It should be sold as a recurring evidence loop: diagnose the AI-answer gap, ship the proof and extractability work, retest the same target, then report the next approved scope.
One-time baseline
Run the localized AI-answer audit for one brand, market, language, persona, and competitor set. Deliver the current risk, answer excerpts, source gaps, and first remediation backlog.
30-day remediation sprint
Fix the highest-leverage proof blocks, FAQs, schema, entity facts, citation sources, and comparison-safe claims that the baseline exposed.
Monthly retest/report
Repeat the same provider, market, language, persona, competitor, and prompt targets so progress is comparable and the client can see what changed.
What should be included in a monthly AI visibility report?
A monthly report needs enough evidence for a client services conversation: what changed in AI answers, which competitors still win, what sources were cited, what missions shipped, and what work should be approved next.
Answer movement
Provider-level excerpts showing where the client is mentioned, omitted, misclassified, cited, or compared differently after remediation.
Competitor movement
A short quarterly refresh showing which competitors AI prefers and which proof gaps explain the preference.
Mission evidence
Completed and next-step missions tied to source repair, entity cleanup, schema, proof blocks, and extractability improvements.
How do retests prove remediation value?
Retests are credible only when the target stays comparable. VectorGap keeps the same brand, market, language, persona, competitors, providers, and prompt categories attached to the work so agencies can explain movement without inventing attribution claims.
Before state
Capture the weak answer, missing source, competitor implication, and approved mission before the sprint starts.
After state
Rerun the same target and compare recommendation rate, evidence strength, source quality, hallucination reduction, and provider consistency.
Next scope
Use unresolved gaps to recommend the next sprint, monthly cleanup, or quarterly competitor preference report.
Retainer ladder → proof → Agency OS
A retainer page should not jump straight from service ladder to checkout. It should prove the recurring economics: inspect the client-ready report, review pricing proof-before-payment, then move high-intent agencies into Agency OS for portfolio audits, remediation missions, same-target retests, exports, and recurring client reports.
Prove the deliverable
Show the buyer how baseline evidence, competitor pressure, completed missions, retest movement, and next scope appear in a client-ready report.
Open pageReduce payment risk
Use pricing proof-before-payment to connect the recurring retainer promise to Generative Brand Index, Preference evidence, Mission Control actions, and the retest plan.
Open pageBuy operating capacity
Agency OS gives the team the recurring audit, remediation, retest, export, and reporting capacity behind the retainer ladder.
Open pageWhich 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 |
|---|---|---|
| How does GEO become recurring client work? | The page lays out a retainer loop: baseline diagnostic, 30-day remediation sprint, monthly same-target retest, quarterly competitor refresh, and client-ready report. | Sell GEO as a delivery cadence with shipped proof/source/entity work and repeated evidence, not as a passive dashboard. |
| What should the monthly report prove? | Answer excerpts, citation/source gaps, competitor movement, completed missions, retest targets, and next scope are all part of the reporting evidence. | Use the report to connect completed remediation to visible answer movement and the next approved scope. |
| What keeps the retest comparable? | Provider, market, language, persona, competitor set, and prompt categories stay attached to the audit target. | Avoid random screenshots; rerun the same target and explain movement through evidence strength, source quality, and recommendation changes. |
Questions agencies ask before turning AI visibility into client work
How do agencies package GEO into retainers?
Package it as baseline, remediation sprint, monthly retest/report, quarterly competitor refresh, and annual AI visibility strategy review. The buyer is paying for evidence, shipped fixes, and comparable retests — not a passive dashboard.
What should be included in a monthly AI visibility report?
Include answer excerpts, source/citation gaps, competitor movement, completed missions, retest targets, and the next recommended scope. Keep every claim tied to provider and prompt evidence.
How do retests prove remediation value?
Retests compare the same provider, market, language, persona, competitor, and prompt context after the agency ships fixes. That makes movement explainable without promising direct revenue attribution.