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Client URL
Start from the client website and capture the market, language, persona, competitors, and public proof AI systems should understand.
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.
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.
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Audit
Visibility + preference proof
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Plan
White-label action plan
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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
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.
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Start from the client website and capture the market, language, persona, competitors, and public proof AI systems should understand.
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Verified brand truth makes hallucinations, missing claims, stale offers, and competitor confusion visible before the audit runs.
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Run Perception and Preference across ChatGPT, Claude, Gemini, Perplexity, Grok, Mistral, and DeepSeek with the same target context.
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Give executives one target-aware score while keeping the provider answers, source trail, and confidence underneath.
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Convert answer losses, weak citations, extractability blockers, and competitor wins into missions the agency can scope, ship, retest, and report.
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
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 your agency audit, then use 5 flexible creditsInspect the free agency-brand audit first, then spend the 5 credits flexibly or use the full pack for one client/prospect AI Visibility and Preference Audit against a real market, language, persona, and competitor set.
02Generate the white-label action planShow the client why the score moved: which part is stale model perception, which part is missing retrievable proof, which competitors have easier evidence, and which fixes can be approved before the next report.
03Turn the result into a governed retainerConvert findings into missions, assign the work, alert on risky claims, and retest the same target so the agency can prove progress over time.
Sneak view · brand names shownProvider answers summarized · exact prompts hidden
REAL AUDIT DATA
Choose an audited brandinteractive evidence preview
Perception Score
75.60 /100
Positive
·
Outdoor drinkware and coolers
US outdoor drinkware buyer
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98 / 98 AI-answer checks completed
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Brand Knowledge
VectorGap sees this anonymized brand as a premium durability benchmark across coolers, bottles, tumblers, bags, and outdoor lifestyle gear.
Entity, category, proof, and competitor context used before the audit runs.
Preference
The answers usually justify the premium for heavy-use outdoor buyers, but value-sensitive comparisons still pull toward lower-priced alternatives.
Provider-level answers summarized without exposing exact prompts.
Missions
Tighten value proof: clearer durability evidence, warranty framing, and side-by-side cost-per-use arguments for price/value answers.
Concrete next fixes inferred from gaps, not generic SEO tasks.
Answer inspected. Exact prompt hidden.
Answer inspected. Exact prompt hidden.
Answer inspected. Exact prompt hidden.
Perplexity
summary
Answer inspected. Exact prompt hidden.
Answer inspected. Exact prompt hidden.
Answer inspected. Exact prompt hidden.
Answer inspected. Exact prompt hidden.
LayerWhat VectorGap exposes
Source truthVectorGap sees this anonymized brand as a premium durability benchmark across coolers, bottles, tumblers, bags, and outdoor lifestyle gear.
Answer behaviorThe answers usually justify the premium for heavy-use outdoor buyers, but value-sensitive comparisons still pull toward lower-priced alternatives.
Next missionTighten value proof: clearer durability evidence, warranty framing, and side-by-side cost-per-use arguments for price/value answers.
VectorGap connects model perception, retrievable web evidence, competitor preference, hallucination risk, white-label reporting, missions, and retests in one operating system agencies can package for every client account.
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Verified facts make hallucinations, missing proof, stale pricing, weak claims, and competitor confusion visible inside every audit.
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Audit answer coverage, sentiment, accuracy, citations, hallucinations, and provider variance across targeted prompts.
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Compare the client against competitors across decision categories, providers, markets, languages, and personas.
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Inspect search results, reviews, directories, third-party pages, forums, and comparison surfaces shaping AI answers.
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Check extractability, schema, entity clarity, llms.txt, source blocks, FAQ patterns, and citation readiness.
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Test whether Google-facing pages, entity facts, structured content, and crawlable proof are ready for AI Overviews and answer extraction.
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Open prompt rows, provider answers, source context, status, and scoring evidence before reporting to clients.
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Rank proof, source, entity, schema, and page fixes by urgency, action speed, ROI potential, and retest value.
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Turn gaps into objectives with target surfaces, evidence links, expected metrics, owners, and retest criteria.
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Export client-ready reports and white-label action plans that preserve provider, prompt, source, mission, and retest evidence.
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Pull audit evidence, trigger workflows, and connect advanced agency operations to the same governed evidence trail.
Use VectorGap to package audits, competitor comparisons, remediation missions, and retest reports across acquisition, retention, and expansion accounts.
Show a prospect where AI prefers a competitor, which prompts caused the loss, and which proof or source gaps your agency can fix first.
Segment Perception and Preference by country, language, persona, industry, and competitor set so each market has its own plan.
Turn missions into recurring delivery: ship proof, content, source, and extractability fixes, rerun the same targets, and show movement clients can approve.
Credits let your agency run client audits, pre-sales audits, retests, and ongoing brand-risk monitoring. Start with one 5-credit audit, then scale the operating system across the portfolio.
The public changelog shows the latest onboarding, AI visibility, prompt inspection, competitor comparison, segmentation, and reporting improvements available to agencies.
A Brand Intelligence and Governance OS 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 category and comparison prompts by target market, citation-gap analysis, competitor benchmarks, buyer-persona answer differences, Google AI Readiness, extractability blockers on key pages, and the gap between what AI answers say and what current web evidence 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.
Use the 5-credit pack for one complete AI Visibility and Preference Audit, generate a white-label action plan, and give the client a plain-English explanation of why AI answers differ from the current business reality, plus the fixes your agency can sell, ship, and retest.
Get audit + 5 client creditsSee a client-ready report
The agency audit is free. The 5 additional credits stay flexible; used as a full pack, they cover one complete visibility, preference, risk, missions, and white-label action-plan workflow.