Evidence trail
Prompt → source → report
Trust comes from preserving provider answers, source context, target market, persona, competitor set, and report output together.
Trust starts with evidence the agency can inspect, export, and explain.
VectorGap is built for agency teams that need client-ready AI visibility evidence, careful claims, exportable reports, and a reproducible audit workflow. Trust means private workspace evidence stays private while public proof, methodology, pricing proof, and client-ready reports reduce purchase risk.
- Audit evidence stays tied to prompt, provider, answer, source, market, persona, and competitor context.
- Reports and exports help agencies own the client conversation.
- API and MCP workflows support advanced agency reporting and automation.
- Provider variability is documented instead of hidden.
7
standard providers
98
LLM prompts
40
Preference prompts
0-100
Generative Brand Index
Agency control
Workspace-safe exports
Teams can keep client evidence separated while exporting summaries, CSV evidence, Markdown notes, and PDF-backed reports.
Reproducibility
Comparable retests
Provider variance is expected, so the trustworthy workflow repeats the same target context after remediation.
Built for agency workspaces and client reporting
Agencies need to separate client records, export evidence, and explain methodology. VectorGap keeps audit context and report outputs structured so teams can manage client portfolios without losing the evidence trail.
Workspace context
Brands, competitors, markets, personas, audit presets, knowledge facts, and reports stay attached to the correct workspace context.
Report ownership
Agencies can use exported reports and summaries to explain AI visibility findings in client conversations.
Sensitive examples
Public examples use anonymized brand, competitor, and prompt labels. Private workspace results should be handled as client data.
Trust should reduce purchase risk before checkout
The buyer needs to see exactly what they can inspect, export, and show a client before choosing Agency OS. The trust page now routes them through proof, report format, pricing proof, and purchase capacity without exposing private workspace details.
Buyer-safe proof path
Public proof explains the workflow while private workspace evidence stays private.
Open pageReport format before payment
The sample report and pricing proof-before-payment page show the executive output, evidence chain, Mission Control actions, and retest plan.
Open pageAgency OS purchase path
After the buyer trusts the proof path, Agency OS provides the portfolio audit, remediation mission, retest, export, and client-ready report capacity.
Open pageAI answers change, so the workflow must be repeatable
VectorGap does not pretend AI outputs are static. It preserves target context and uses retests to compare movement across the same providers, markets, personas, and competitors.
Provider caveats
Different providers can disagree. That disagreement is useful evidence when diagnosing source coverage and entity clarity.
Retest discipline
Progress reports should compare the same audit targets after remediation work, not random new prompts.
Exportable evidence
CSV, Markdown, PDF, API, and MCP paths help agencies move evidence into reports, dashboards, and operating workflows.
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 |
|---|---|---|
| Can the agency explain the result? | Prompt, provider, answer excerpt, source context, market, persona, competitor, and score evidence remain attached. | Use the evidence trail to brief the client without exposing private workspace mechanics. |
| Can reports be exported safely? | Client-ready summaries and exports separate public examples from private brand workspace data. | Export only the report structure and approved evidence needed for the buyer conversation. |
| Can progress be retested? | The same provider, market, language, persona, competitor, and prompt context can be repeated after remediation. | Use comparable retests instead of one-off screenshots when reporting movement. |
Questions agencies ask before turning AI visibility into client work
How does VectorGap handle private client evidence?
Private workspace evidence should stay inside the client workspace and approved exports. Public pages use anonymized examples and explain the workflow rather than publishing private audit data.
Why does provider variability not break trust?
Different AI providers answer differently. VectorGap keeps the provider and target context attached so agencies can inspect variance, repeat the same target, and explain movement without pretending AI answers are static.