AI Preference pitch rescue
Use when a brand loses recommendation prompts to a better-known competitor. Show which assistant prefers whom, why, and which source improvements can change the answer.
Turn AI Preference gaps into agency revenue.
Preview a GEO report
Monitor AI answers, compare competitors, and create reports that grow recurring GEO revenue.
Built for SEO and GEO agencies managing local, national, and multilingual accounts. See who AI assistants recommend, why competitors win, and which content, citation, and entity fixes can improve visibility.
AI visibility workflow
One account. Every AI visibility signal that matters.
Track recommendations, answer sentiment, share of voice, citation gaps, and competitor mentions by country, language, buyer persona, and prompt intent — then turn the findings into client-ready reports and recurring optimization work.
Prompt set
AI Preference + LLM Perception
Core output
Target Share of Voice
Prioritized fixes
Brand Hub actions
AI Preference|Ultra-targeted LLM Perception|Target Share of Voice|Brand Hub actions
AI visibility preview
See where each account wins, loses, and disappears in AI answers.
VectorGap breaks AI visibility down by market, language, persona, competitor set, and prompt intent, so your team can explain exactly why a brand is losing recommendations and what to fix next.
How it works
01Monitor the AI answers buyers actually seeRun targeted prompts across ChatGPT, Claude, Gemini, Perplexity, Grok, and Mistral to see when a brand is recommended, ignored, misdescribed, or outranked by competitors.
02Segment visibility by market, language, and personaSeparate global averages from the details that drive revenue. Compare AI visibility by country, language, buyer role, prompt intent, and competitor set.
03Turn gaps into reports, fixes, and retainersUse prompt-level evidence, answer excerpts, citation gaps, competitor comparisons, and prioritized fixes to create client-ready GEO reporting and recurring AI visibility work.
Agency workflow
01 / AI PREFERENCE
Which brand AI chooses
Targeted preference audits show whether AI recommends your client or a competitor for a specific buyer, market, and comparison context.
02 / LLM PERCEPTION
Ultra-targeted perception
Query-level testing across major AI models with market, language, persona, competitor set, and prompt intent preserved instead of averaged away.
03 / SHARE OF VOICE + BRAND HUB
Visibility share into actions
Track target-aware Share of Voice, then use Brand Hub graph actions to fix source gaps, entity confusion, proof weakness, and content opportunities.
Agency use cases
Three ways agencies can turn AI visibility into client work.
Use VectorGap to create measurable AI visibility deliverables across acquisition, retention, and expansion accounts.
Localized LLM Perception sprint
Compare perception across countries, languages, buyer personas, and markets, then prioritize content and source updates for the weakest segment.
Share of Voice retainer expansion
Track target-aware Share of Voice monthly and turn Brand Hub graph actions into SEO, digital PR, and GEO production work.
Founding cohort
Build recurring AI visibility revenue across every SEO and GEO account.
Monitor unlimited brands, inspect AI answers, compare competitors, segment by market and persona, and generate client-ready reports for €445/mo.
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 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 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, and Mistral: 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 a service your agency can sell every month.
Monitor where customers appear in AI answers, prove which competitors are winning, identify the fixes that improve visibility, and deliver reports that support recurring GEO revenue.
Monitor AI visibility, compare competitors, inspect prompts and answers, and turn every gap into client-ready reporting.