fusengine/seo-local
plugins/seo/skills/seo-local/SKILL.md
Use when optimizing local SEO. Covers Google Business Profile, NAP consistency, citations, reviews acquisition, Local Pack ranking, location pages, LocalBusiness schema.
$ install --global
skillsauthnpx skillsauth add fusengine/agents seo-localInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- seo-local
- description:
- Use when optimizing local SEO. Covers Google Business Profile, NAP consistency, citations, reviews acquisition, Local Pack ranking, location pages, LocalBusiness schema.
- user-invocable:
- false
- related-skills:
- seo, seo-schema, seo-content
Local SEO
Workflow
- Audit Google Business Profile (categories, hours, photos, posts, services)
- Check NAP consistency across web (citations: Yelp, Bing, Apple Maps, industry directories)
- Analyze reviews (volume, recency, response rate, sentiment)
- Map ranking in Local Pack for target keywords + geo
- Optimize location pages (one per service area, LocalBusiness schema)
NAP Consistency
Must be character-for-character identical on the site, GBP, and every directory:
[Business Name]
[Street Number] [Street], [Suite]
[City], [Region] [Postal Code]
[+CC Phone]
- Abbreviations must match too:
Route≠Rte,Suite≠Ste. One variation fractures the entity.
GBP as an Entity Signal (2026)
- GBP is no longer just a local directory — AI engines cross-reference it as an entity anchor. ~42% of local AI citations originate from listings.
- A complete profile = ~2.7x more likely to rank in the Local Pack. Fill categories, hours, photos, posts, services.
- Service areas = named cities / postal codes only (max ~20). Country- or state-wide service areas are no longer allowed (Google change, June 2025).
Quality Gates
- Warning at 30+ location pages
- Hard stop at 50+ location pages (manual audit required)
- Each location page must have unique content (not template fill-in)
LocalBusiness Schema (GEO-priority)
AI engines (ChatGPT, Perplexity, Gemini) parse LocalBusiness JSON-LD to answer "best [service] near me". Precise geo + areaServed = better entity resolution in local AI Overviews.
{
"@context": "https://schema.org",
"@type": "[SpecificType]",
"name": "[Business Name]",
"address": { "@type": "PostalAddress", "streetAddress": "[Street]",
"addressLocality": "[City]", "addressRegion": "[Region]",
"postalCode": "[Postal Code]", "addressCountry": "[CC]" },
"geo": { "@type": "GeoCoordinates", "latitude": "[lat]", "longitude": "[lng]" },
"areaServed": { "@type": "GeoCircle",
"geoMidpoint": { "@type": "GeoCoordinates", "latitude": "[lat]", "longitude": "[lng]" },
"geoRadius": "[meters]" },
"sameAs": ["[GBP URL]", "[directory URL]", "[social URL]"],
"openingHoursSpecification": [{ "@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday"], "opens": "[HH:MM]", "closes": "[HH:MM]" }],
"aggregateRating": { "@type": "AggregateRating",
"ratingValue": "[x.x]", "reviewCount": "[n]" }
}
@type: use the specific subtype (Plumber,Dentist,Restaurant…), not genericLocalBusiness— better category matching.geo(GeoCoordinates): disambiguates the entity; coordinates must match the GBP pin and Apple Maps.areaServedasGeoCircle(geoMidpoint + geoRadius): drives "near me" matching for LLMs.sameAsarray (GBP + directories + socials): confirms existence across authoritative sources.- LLMs do cite local businesses when schema + GBP + reviews are solid.
References
seo-schema— LocalBusiness JSON-LD (templates/json-ld/localbusiness.json)seo-entity— declare the business entity via sameAs (Wikidata, GBP)skills/seo/10-local-seo/(gbp, nap-citations, reviews, local-pack, landing-pages, local-backlinks)
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