Seo local

Skill fusengine/agents/plugins/seo/skills/seo-local

Redefining development through cognitive automation and collaborative agent systems.

Install

npx -y skills add fusengine/agents --skill seo-local

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

22 stars22 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when optimizing local SEO. Covers Google Business Profile, NAP consistency, citations, reviews acquisition, Local Pack ranking, location pages, LocalBusiness schema.

SKILL.md

3.4 KB, as published. Nobody here has run it

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 generic LocalBusiness — better category matching.
geo (GeoCoordinates): disambiguates the entity; coordinates must match the GBP pin and Apple Maps.
areaServed as GeoCircle (geoMidpoint + geoRadius): drives "near me" matching for LLMs.
sameAs array (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)