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.
Turn AI visibility into client retainers.
See a client-ready reportRun the free guided baseline
Agency Unlimited stays available at €445/mo — 7 Founding Agency seats left.
Built for agencies that need more than a mention tracker. VectorGap shows the prompt, the answer, the competitor, the source gap, the remediation mission, and the retest proof behind every AI visibility conversation.
Prompt-to-proof workflow
AI chooses a competitor. VectorGap shows the missing proof and the fix.
Start with the prompt and answer, inspect the competitor recommendation, identify the source or claim gap, create a remediation mission, then retest the same market, persona, providers, and competitors.
01 / Answer
Competitor ranked first
02 / Gap
Proof missing from sources
03 / Retest
Mission → report movement
7 providers: ChatGPT · Claude · Gemini · Perplexity · Grok · Mistral · DeepSeek|98 LLM Perception prompts|40 AI Preference prompts|Prompt evidence → mission → retest → report
What agencies get in the first audit
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 LLM Perception prompts and 40 AI 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
Prompt-level evidence
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.
How it works
01Load the brand truth AI should knowUse Brand Knowledge to anchor verified facts, detect hallucinations, catch missing claims, and keep each audit tied to the client's real positioning.
02Audit perception and preference by targetRun LLM Perception and AI Preference across the full seven-provider panel, with market, country, language, persona, industry, and competitor context preserved.
03Turn evidence into missions, retests, and reportsUse Web Perception, GEO Optimization, Query Explorer, Remediation Center, and Mission Control to move from answer gaps to approved work and retest proof.
Platform loop
01 / BRAND KNOWLEDGE
The source of truth layer
Verified facts make hallucinations, missing proof, stale pricing, weak claims, and competitor confusion visible inside every audit.
02 / LLM PERCEPTION
How AI describes the client
Audit answer coverage, sentiment, accuracy, citations, hallucinations, and provider variance across targeted prompts.
03 / AI PREFERENCE
Which brand AI would choose
Compare the client against competitors across eight decision categories, seven providers, markets, languages, and personas.
04 / WEB PERCEPTION
The market evidence layer
Inspect search results, reviews, directories, third-party pages, forums, and comparison surfaces shaping AI answers.
05 / GEO OPTIMIZATION
AI-citable page structure
Check extractability, schema, entity clarity, llms.txt, source blocks, FAQ patterns, and citation readiness.
06 / QUERY EXPLORER
The answer behind the score
Open prompt rows, provider answers, source context, status, and scoring evidence before reporting to clients.
07 / REMEDIATION CENTER
Prioritized fix backlog
Rank proof, source, entity, schema, and page fixes by urgency, action speed, ROI potential, and retest value.
08 / MISSION CONTROL
Delivery your team can run
Turn gaps into objectives with target surfaces, evidence links, expected metrics, owners, and retest criteria.
09 / REPORTS + MCP/API
Client-ready proof and automation
Export reports, pull audit evidence, connect advanced workflows, and keep agency operations tied to the evidence trail.
Agency revenue plays
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.
Expand retainers with targeted audits
Segment LLM Perception and AI 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.
Founding cohort
Turn every AI visibility gap into a retainer conversation.
Monitor unlimited brands, inspect AI answers, compare competitors, segment by market and persona, prioritize remediation, retest targets, and generate client-ready reports. Agency Unlimited is €445/mo for the Founding Agency cohort; 7 spots left and 3 plans already claimed.
Product updates
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.
FAQ
Frequently Asked Questions
GEO software for SEO agencies helps account teams measure how client brands appear across AI assistants by market, language, buyer persona, and competitor set, then turn those gaps into page-level fixes, retests, and client-ready reporting. VectorGap is built around localized market intelligence instead of generic global AI monitoring.
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 GEO baseline audit should cover category and comparison prompts by target market, citation-gap analysis, competitor benchmarks, buyer-persona answer differences, extractability blockers on key pages, and a short list of the highest-leverage fixes an SEO agency can ship fast. The goal is not another dashboard, but a clear localized remediation plan you can show to the client.
Most teams start with a baseline audit, then run weekly or bi-weekly checks for high-intent pages, launches, and competitive campaigns.
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.
Make AI visibility the retainer your agency sells next.
Show clients the exact answers, sources, competitors, gaps, actions, and retest proof behind AI visibility. That is easier to sell than a citation counter and far harder for a competitor to fake.
Brand Knowledge, AI audits, competitor preference, web and GEO evidence, remediation missions, retests, and client-ready reports in one agency workspace.