Market-specific
Generate prompts that mention the country, city or region, local buyer, and local language instead of generic global SEO wording.
Create a market-specific prompt pack to test how ChatGPT, Claude, Gemini, and Perplexity describe a brand by country, language, city, buyer persona, and competitor context.
Interactive generator
Configure the brand, market, buyer, and competitors. The prompt pack expands below with no hidden scroll area, so the output is readable enough to use in a client call.
Required fields first, local context second.
Brand
Market and audience
15 prompts across 5 localized AI visibility categories.
Prompt coverage score
48
15 prompts
Market context
Manual testing
Checks whether AI systems understand the brand, category, audience, and local relevance.
Tests whether the brand appears when buyers ask for local or market-specific options.
Shows whether AI can position the brand against named alternatives without hallucinating.
Surfaces how pricing, value, alternatives, and buying objections appear in AI answers.
Forces the assistant to reveal whether it has stable sources or only vague memory.
Why this matters
A brand can appear credible in an English global prompt and still disappear from Belgian, French, German, Dutch, city-level, or buyer-specific recommendations. Localized prompts make that gap visible before the client asks.
Generate prompts that mention the country, city or region, local buyer, and local language instead of generic global SEO wording.
Switch between testing your own brand and producing a client-ready test plan for an agency account.
Use the free prompt pack as the entry point, then run the localized audit when you need multi-model proof and prioritization.
From prompt pack to proof
This page is intentionally useful but incomplete. It helps agencies start the conversation without giving away the full audit workflow.
Enter the brand, website, target market, language, category, persona, city, and competitors.
Generate prompts across discovery, local recommendations, competitor comparisons, commercial intent, and citation checks.
Copy the pack into your manual AI testing workflow or use it as the brief for a client conversation.
Run the localized VectorGap audit when you need repeatable scoring, citations, provider comparison, and fixes.
Manual prompt testing is a good first signal. It is not enough for recurring agency delivery. Localized AI visibility needs repeatable provider coverage, prompt history, competitor evidence, source extraction, and remediation tracking.
Run the localized auditManual prompts show whether there is a problem.
The audit shows which models, markets, citations, and competitor answers caused the problem.
The remediation workflow turns weak answers into public pages, source improvements, schema, and source improvements.
It is a market-specific question designed to test how an AI assistant describes, recommends, compares, and cites a brand for a buyer in a specific country, city, language, and category.
No. The generator creates a useful manual test plan. A VectorGap localized audit runs prompts across AI providers, captures outputs and citations, benchmarks competitors, scores gaps, and turns findings into remediation work.
AI answers can change by market, language, and buyer intent. A brand may look visible in English but disappear in French, German, Dutch, or city-level recommendation prompts.
Yes. It produces a client-ready test plan without exposing proprietary audit mechanics. Use it to show why localized AI visibility requires repeatable evidence instead of one-off ChatGPT screenshots.