Executive layer
Risk + next action
The report starts with the business risk, competitor pressure, and the few remediation actions the client can approve.
Report AI visibility in a way clients can understand and approve.
VectorGap turns prompt evidence, provider variance, competitor preference, source gaps, missions, and retests into client-ready reporting assets. Reporting only creates buyer value when the report proves the evidence, reduces payment risk, and supports recurring delivery capacity.
- 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.
7
standard providers
98
LLM prompts
40
Preference prompts
0-100
Generative Brand Index
Evidence layer
Answer excerpts
Prompt, provider, answer, source, competitor, market, and score context stay attached so the finding is inspectable.
Closeout layer
Mission → retest
Completed work and comparable retests turn the next report into proof of movement, not a static dashboard screenshot.
What a strong report includes
The report should prove the gap, explain the cause, show the action, and define the retest.
Executive summary
Clear business risk, competitor pressure, and next actions the client can approve.
Evidence appendix
Prompt, provider, answer, source, competitor, market, persona, and score context.
Mission plan
Prioritized remediation actions, owners, target surfaces, and comparable retest targets.
Report proof → pricing proof → Agency OS
Reporting only creates buyer value when the report proves the evidence, reduces payment risk, and supports recurring delivery capacity. The buyer should inspect the client-ready report first, review pricing proof-before-payment, then buy Agency OS capacity to keep evidence, missions, retests, and reports moving across clients.
Inspect client-ready report proof
Show how executive risk, answer excerpts, source gaps, competitor pressure, missions, retest movement, and next actions appear in a client-ready output.
Open pageReview proof before payment
Use pricing proof-before-payment to connect reporting value to Generative Brand Index, Preference proof, Mission Control actions, and comparable retest evidence.
Open pageBuy reporting capacity
Agency OS gives the team recurring capacity to inspect evidence, produce reports, run retests, maintain remediation queues, and report movement across a portfolio.
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 |
|---|---|---|
| What should the client understand first? | A concise executive summary that connects AI-answer risk, competitor pressure, and recommended remediation. | Lead with the decision and next action before showing detailed evidence. |
| What evidence supports the claim? | Provider answer excerpts, prompt categories, source gaps, competitor context, and target market/persona details. | Use evidence excerpts as the appendix, not raw JSON or internal payloads. |
| How does the report create next scope? | Missions, completed fixes, comparable retest targets, unresolved gaps, and expected next metrics. | Close with approved remediation work, retest timing, and the next client-ready report. |
Questions agencies ask before turning AI visibility into client work
What makes an AI visibility report client-ready?
It explains the business risk first, then shows answer excerpts, source gaps, competitor context, remediation missions, and the retest plan in language a client can approve.
Should agencies include raw prompt payloads in reports?
No. Use client-safe answer excerpts and evidence summaries. Keep raw payloads and internal debugging details out of client-facing reports unless the client explicitly needs them.