01
Run one complete agency audit
Use the 5 flexible credits on the target that matters most, or spend the full pack on one audit to inspect Perception, Preference, competitor context, source evidence, and first public truth-layer gaps worth fixing.
Launch an AI visibility and brand governance offer for every client.
VectorGap gives agencies the operating loop behind a credible AI visibility service: the agency’s own first audit, provider evidence, competitor preference, source gaps, white-label action plans, missions, retests, and reports your team can sell without hiring a senior AI/GEO expert.
Clients are asking about AI answers before most agencies have a service package.
Search retainers now need to explain what ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek say about a client, which competitors get recommended, and which public sources caused the answer. Agencies need a repeatable offer, not another manual research project.
Clients want to know whether AI systems describe, cite, and recommend them correctly, but generic SEO dashboards do not show prompt-level evidence.
Competitors can become the preferred answer because their proof, pages, sources, or entity facts are easier for models to retrieve.
Manual prompt screenshots do not become retainers unless the agency can convert the finding into a white-label action plan, assigned missions, and a retest.
Hiring senior AI/GEO specialists for every account is too slow and expensive for agencies that need a sellable offer now.
The agency workflow: audit, package, fix, retest.
02
Package the white-label action plan
Turn provider answers, competitor losses, hallucination risks, and citation weaknesses into a client-ready plan with clear priorities and agency-owned next steps.
03
Ship missions and retest the same target
Assign source, entity, content, schema, proof, and extractability work, then rerun the same market, language, persona, competitor, and prompt context to show what moved.
What the agency can put in front of a client.
- A white-label Presence, Perception, Preference, and AI Readiness workflow on the agency website first
- Evidence showing which providers mention, misstate, omit, or prefer competitors over the client
- Source and citation gaps that explain why the answer layer is weak
- Prioritized missions the client can approve instead of vague “GEO strategy” advice
- Same-target retest evidence for the next sprint, QBR, or recurring governance report
Turn the first audit into work the client can approve.
The agency needs a clear buyer question, evidence that explains the answer-layer gap, and a next action that can become a scoped mission, sprint, retest, or report.
| Buyer question | What AI can extract | Agency action |
|---|---|---|
| Can the agency sell this as a real service line? | The page presents VectorGap as a Brand Intelligence & Governance OS for agencies: audit evidence, preference checks, hallucination risk, white-label action plans, missions, retests, and reporting in one operating loop. | Use the 5-credit audit on the agency website first, then turn the evidence into a paid remediation sprint or governance retainer conversation. |
| Can the agency explain why a client loses AI recommendations? | The offer includes provider answers, competitor preference, source quality, public proof, market-language-persona targeting, and Query Explorer-style evidence instead of disconnected screenshots. | Show the client the first prompt, source, competitor, or hallucination gap, then scope the mission set that should be fixed before the retest. |
| Can this become recurring work? | The workflow repeats the same target after fixes and keeps the evidence tied to reports, missions, competitors, markets, languages, personas, and client outcomes. | Package monthly or quarterly governance around source repair, brand fact cleanup, Preference tracking, hallucination checks, retests, and white-label reports. |
Agency questions before the first proof audit.
What does an agency get with the 5 credits?
Five credits are flexible. Spend them à la carte, or use the full pack for one complete Presence, Perception, Preference, and AI Readiness workflow when that is the best way to create sales-ready evidence: provider answers, competitor context, source gaps, missions, and a white-label action plan.
Does this replace normal SEO reporting?
No. VectorGap adds an answer-layer and brand-governance layer on top of SEO work. It explains how AI systems describe, cite, compare, and recommend the client before the click, then turns the evidence into remediation work and retests.
Can this work across markets, languages, personas, and competitors?
Yes. Agencies can target the client scenario that matters: market, country or local area, prompt language, industry, buyer persona, and named competitors. That context stays attached to reports and retests.
Proof resources for agency buyers.
Before committing a portfolio workflow, agency buyers need to see the artifact shape: what the client reads, what evidence supports it, and which remediation work follows.
Sample report
Preview how VectorGap turns AI answer evidence, competitor preference, source gaps, Mission Control actions, and retest targets into a client-ready artifact.
Review the reportPricing for agency portfolios
Compare Consultant, Agency OS, and Enterprise Governance plans with the new credit model and white-label delivery expectations.
Compare plansMCP and API automation
For AI-native teams, connect audits, missions, evidence, and reporting into agency workflows through MCP and API automation.
Explore automationUse the first audit to prove the service before scaling it across the portfolio.
Start with the free agency-brand audit, then use 5 additional flexible credits à la carte or as one complete client/prospect Presence, Perception, Preference, and AI Readiness workflow with a white-label action plan your agency can sell, fix, retest, and report next.