Context
Use this when a local business wants to appear in AI assistant recommendations for location-based queries. AI assistants (ChatGPT, Perplexity, Gemini, Copilot) increasingly answer local queries like "best camping near Eindhoven" or "restaurant with terrace in Amsterdam." These AI systems extract information differently from traditional search: they prefer structured data, comprehensive entity descriptions, FAQ-style content, and authority signals (reviews, credentials, mentions from trusted sources). This skill bridges local SEO with GEO to make the business AI-citable for local queries.
Procedure
- Define target local queries: list 10-20 queries real users would ask AI assistants about this type of business in this area (e.g., "camping Brabant", "vakantiepark met zwembad Limburg", "camping near Eindhoven").
- Baseline test: query ChatGPT, Perplexity, Gemini, and Copilot with each target query and record whether the business is cited, in what position, and what context.
- Audit the business website for AI extractability: structured data completeness, About page entity density, FAQ content, service descriptions, and authority signals visible on-page.
- Audit AI crawler access: check robots.txt for GPTBot, PerplexityBot, ClaudeBot, Googlebot. Ensure AI crawlers are not blocked.
- Design structured data enhancements: complete LocalBusiness JSON-LD with all properties AI assistants use for entity extraction (name, address, geo, description, amenities, reviews, FAQ, events).
- Create FAQ content strategy: write FAQ pages that directly answer the target local queries in natural language, structured with FAQPage schema.
- Optimize the About page for entity extraction: include comprehensive business description, founding story, credentials, awards, memberships, and service area definition.
- Build authority signal plan: accumulate reviews, local press mentions, directory citations, and association memberships that AI systems cross-reference for trust.
- Plan multi-language GEO: for businesses serving multiple language markets, ensure AI-relevant content exists in each language.
- Set re-testing schedule: monthly re-query AI assistants to track citation progress.
Output Format
# Local Business GEO Strategy: [Business Name]
## Target Query List
| # | Query | Language | Intent | Volume Est. | AI Platform Priority |
|---|-------|----------|--------|------------|---------------------|
| 1 | "[type] near [city]" | NL | Discovery | High | ChatGPT, Perplexity |
| 2 | "best [type] [region]" | NL | Comparison | Medium | Gemini, Perplexity |
| 3 | "[type] mit [feature] [region]" | DE | Feature-specific | Medium | ChatGPT |
## AI Citation Baseline (tested [date])
| Query | ChatGPT | Perplexity | Gemini | Copilot | Notes |
|-------|---------|-----------|--------|---------|-------|
| "[query 1]" | Not cited | Cited #3 | Not cited | Not cited | Competitor X cited instead |
| "[query 2]" | Cited #2 | Cited #1 | Cited #4 | Not cited | Good position on Perplexity |
## AI Crawler Access
| Crawler | User-Agent | robots.txt Status | Action |
|---------|-----------|------------------|--------|
| GPTBot | GPTBot | Allowed/Blocked/Not specified | [action] |
| PerplexityBot | PerplexityBot | Allowed/Blocked/Not specified | [action] |
| ClaudeBot | ClaudeBot | Allowed/Blocked/Not specified | [action] |
| Googlebot | Googlebot | Allowed | — |
## Website AI Extractability Audit
| Signal | Status | Detail | Action |
|--------|--------|--------|--------|
| LocalBusiness JSON-LD | present/missing | [@type, completeness] | [action] |
| About page entity density | strong/weak | [word count, entity coverage] | [action] |
| FAQ content | present/missing | [questions count, schema] | [action] |
| Service descriptions | detailed/thin | [coverage of offerings] | [action] |
| Review data on-page | present/missing | [aggregate rating visible?] | [action] |
| Authority signals | strong/weak | [awards, memberships, credentials] | [action] |
| AI crawler access | allowed/blocked | [specific crawlers] | [action] |
## Structured Data Enhancement
```json
{
"@context": "https://schema.org",
"@type": "[BusinessType]",
"name": "[name]",
"description": "[comprehensive 200-word description for AI extraction]",
"address": { ... },
"geo": { "@type": "GeoCoordinates", "latitude": "", "longitude": "" },
"areaServed": [ { "@type": "AdministrativeArea", "name": "[region]" } ],
"amenityFeature": [ ... ],
"aggregateRating": { ... },
"review": [ ... ],
"hasCredential": [ ... ],
"memberOf": [ ... ]
}
FAQ Content Strategy
| Question | Language | Target Query | Page | Schema | |----------|----------|-------------|------|--------| | "What makes [business] special for [audience]?" | NL | "[type] [region]" | /veelgestelde-vragen | FAQPage | | "How do I get to [business] from [city]?" | NL | "[type] near [city]" | /veelgestelde-vragen | FAQPage | | "What facilities does [business] offer?" | EN | "[type] with [feature]" | /en/faq | FAQPage |
Authority Signal Plan
| Signal Type | Current Status | Target | Action | Timeline | |------------|---------------|--------|--------|----------| | Google Reviews | [N] reviews, [avg] | [target] | Review generation strategy | Ongoing | | Directory citations | [N] directories | [target] | Submit to [list] | 30 days | | Local press mentions | [N] articles | [target] | Press outreach to [list] | 60 days | | Association memberships | [list] | [add list] | Apply for [list] | 30 days | | Awards/certifications | [list] | [target] | Apply for [list] | 90 days |
Re-Testing Schedule
| Date | Queries to Test | Platforms | Expected Progress | |------|----------------|-----------|------------------| | [month 1] | All 10 | All 4 | Baseline established | | [month 2] | All 10 | All 4 | Schema + FAQ live, early signals | | [month 3] | All 10 | All 4 | Citations improving on 3+ queries |
## QA Rubric (scored)
- Baseline accuracy (0-5): AI citation audit includes actual test results from multiple AI platforms with dates.
- Query relevance (0-5): target queries match real user intent for this business type and location.
- Extractability assessment (0-5): website audit covers all signals AI assistants use for local entity extraction.
- Authority authenticity (0-5): recommended authority signals are genuine and achievable, not fabricated.
## Examples (good/bad)
- Good: "Tested 'camping near Eindhoven' across 4 AI platforms on Feb 15, 2026. Perplexity cites Wetland.nl at position #3 with accurate description. ChatGPT does not cite — likely because About page has only 80 words and no Campground JSON-LD. Gemini cites a competitor (Camping De Peel) who has 156 Google reviews vs. Wetland's 94. Action plan: (1) Add Campground JSON-LD with full amenityFeature list, (2) expand About page to 500+ words with entity-rich description, (3) create Dutch FAQ page with 15 questions targeting 'camping Brabant' queries, (4) implement FAQPage schema. Re-test in 30 days."
- Bad: "Optimize for AI search. Add structured data. Write more content." (no baseline test, no specific queries, no platform results, no extractability audit, no timeline)
## Variants
- Baseline variant: first-time audit establishing current AI citation status and identifying gaps.
- Enhancement variant: business already has some AI citations — focus on improving position and expanding to more queries/platforms.
- Competitive variant: focused on queries where competitors are cited but the business is not — closing the AI citation gap.
- Multi-language variant: targeting AI citations in multiple languages for cross-border businesses.