01
Client URL
Start from the client website and capture the market, language, persona, competitors, and public proof AI systems should understand.
Launch an AI visibility and brand governance offer for every client in your portfolio.
VectorGap gives agencies white-label ChatGPT/Gemini audits, Preference proof, hallucination risk checks, and mission-based action plans without hiring senior AI or GEO experts.
Get audit + 5 client creditsSee the agency workflow
Free agency audit first. 5 additional credits for one client or prospect audit.
One client audit becomes the agency’s AI visibility offer.
Inspect the free agency-brand audit first, then use the 5 additional credits to expose one client or prospect’s competitor preference, risky AI claims, source gaps, and white-label action plan.
01
Audit
Visibility + preference proof
02
Plan
White-label action plan
03
Govern
Missions → retest proof
7 providers: ChatGPT · Claude · Gemini · Perplexity · Grok · Mistral · DeepSeek|98 Perception prompts|40 Preference prompts|Prompt evidence → mission → retest → report
Conversion loop
From a client URL to a report your agency can sell.
The product story is not another dashboard. It is a fast, inspectable path from brand context to seven-provider evidence, Generative Brand Index, Mission Control, retest, and a client-ready report.
02
Brand Knowledge anchors facts
Verified brand truth makes hallucinations, missing claims, stale offers, and competitor confusion visible before the audit runs.
03
7-provider audit tests perception and preference
Run Perception and Preference across ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek with the same target context.
04
Generative Brand Index summarizes evidence and confidence
Give executives one target-aware score while keeping the provider answers, source trail, and confidence underneath.
05
Mission Control turns gaps into work
Convert answer losses, weak citations, extractability blockers, and competitor wins into missions the agency can scope, ship, retest, and report.
A first report should prove the gap, explain why it exists, and show the work your agency can sell next.
VectorGap turns the first scan into a client-ready evidence package: seven-provider answers, competitor preference gaps, source and citation issues, Brand Knowledge correctness checks, prioritized missions, and a retest plan.
7 AI providers: ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek
98 Perception prompts and 40 Preference prompts
Market, language, persona, industry, and competitor targeting
Prompt-level answer evidence with sources and missing-proof context
Hallucination and correctness checks from Brand Knowledge
Prioritized remediation missions and a client-ready report
See the exact AI answer behind every score.
VectorGap keeps the query, provider, answer, competitor, citation, hallucination, and missing-proof context visible. Clients see why they lost, not just that they lost.
01Start with the exact buyer contextInspect the free agency-brand audit first, then use the 5-credit pack to test one client or prospect against a real market, language, persona, prompt intent, and competitor set.
02Compare memory with market proofShow the client what AI remembers, what current web evidence can prove, where the gap appears, and which competitor, hallucination, source, or readiness issue should be fixed before the next report.
03Turn the gap into missions and retestsConvert findings into missions, assign the work, and retest the same target so the agency can show before/after movement in an executive report.
From AI memory vs market proof to a sellable agency service line.
VectorGap connects precise buyer targeting, AI memory, market proof, Presence, Perception, Preference, AI Readiness, missions, and retests in one operating system agencies can package for every client account.
01
Brand Knowledge
Verified facts make hallucinations, missing proof, stale pricing, weak claims, and competitor confusion visible inside every audit.
02
Perception
Audit answer coverage, sentiment, accuracy, citations, hallucinations, and provider variance across targeted prompts.
03
Preference
Compare the client against competitors across decision categories, providers, markets, languages, and personas.
04
Presence
Test whether AI names the brand when buyers describe the problem, category, or shortlist without using the brand name.
05
AI Readiness
Check extractability, schema, entity clarity, llms.txt, source blocks, FAQ patterns, freshness, and citation readiness.
06
Web Evidence
Compare what AI remembers with the market proof current web sources can retrieve, cite, and defend.
07
Query Explorer
Open prompt rows, provider answers, source context, status, and scoring evidence before reporting to clients.
08
Remediation Center
Rank proof, source, entity, schema, and page fixes by urgency, action speed, ROI potential, and retest value.
09
Mission Control
Turn gaps into objectives with target surfaces, evidence links, expected metrics, owners, and retest criteria.
10
Reports
Export client-ready reports and white-label action plans that preserve provider, prompt, source, mission, and retest evidence.
11
MCP/API
Pull audit evidence, trigger workflows, and connect advanced agency operations to the same governed evidence trail.
Three ways agencies turn AI visibility evidence into paid client work.
Use VectorGap to package audits, competitor comparisons, remediation missions, and retest reports across acquisition, retention, and expansion accounts.
Win new work with preference proof
Show a prospect where AI prefers a competitor, which prompts caused the loss, and which proof or source gaps your agency can fix first.
Expand retainers with targeted audits
Segment Perception and Preference by country, language, persona, industry, and competitor set so each market has its own plan.
Report progress with retest evidence
Turn missions into recurring delivery: ship proof, content, source, and extractability fixes, rerun the same targets, and show movement clients can approve.
Plans for agencies turning AI visibility into a governed service line.
Credits let your agency run client audits, pre-sales audits, same-scope retests, and ongoing AI brand diagnostics. Start with one 5-credit audit, then scale the operating system across the portfolio.
Consultant
$499/mo · 50 credits
- • For solo consultants and small agencies proving the offer
- • Presence, Perception, Preference, and AI Readiness diagnostics
- • Standard client-ready reports
Recommended
Agency OS
$1,999/mo · 250 credits
- • Recommended plan for agencies with 15 to 50 clients
- • White-label reports, missions, task tracking, and 10 Brand Brains
- • MCP automation for AI-native agency operations
Enterprise Governance
From $3,999/mo · custom credits
- • For high-volume agencies and brand-risk teams
- • API access, dedicated support, and custom governance workflows
- • Active hallucination shield and brand-risk escalation paths
See what changed in VectorGap before you add it to client work.
The public changelog shows the latest onboarding, AI visibility, prompt inspection, competitor comparison, segmentation, and reporting improvements available to agencies.
Frequently Asked Questions
A AI memory and market proof helps agencies audit how AI systems describe, cite, compare, and recommend client brands, then turn that evidence into white-label action plans, missions, retests, and portfolio reporting. VectorGap is built so an agency can launch an AI visibility and brand governance offer without hiring a senior AI or GEO specialist.
Start with the prompts buyers actually use in each target market and language, then track three layers across ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek: brand mentions, supporting citations, and recommendation rate. That shows whether a client is merely present, actually trusted, or commercially preferred in local AI answers.
A strong first client audit should cover Presence, Perception, Preference, and AI Readiness by target market, citation-gap analysis, competitor benchmarks, buyer-persona answer differences, extractability blockers on key pages, and the gap between what AI remembers and what current market proof can prove. The goal is a white-label action plan the client can approve, not another dashboard.
Most teams start with the 5-credit client audit, ship the highest-leverage proof and readiness fixes, then run monthly or quarterly retests against the same market, language, persona, provider, and competitor context.
Track all three: mentions show presence, citations show evidence quality, and recommendations show commercial impact. Recommendation rate usually maps closest to pipeline outcomes.
No. GEO complements traditional SEO by extending visibility work into AI-generated answers. Blue-link rankings still drive traffic, but GEO ensures your brand is also cited and recommended when users get answers directly from AI assistants.
Get the agency audit first, then prove one client workflow.
Use the 5-credit pack for one complete buyer-context audit, generate a white-label action plan, and give the client a plain-English explanation of why AI memory differs from market proof, plus the fixes your agency can sell, ship, and retest.
The agency audit is free. The 5 additional credits stay flexible; used as a full pack, they cover one complete Presence, Perception, Preference, AI Readiness, missions, and white-label action-plan workflow.