local-seo

local-seo is a skill for Claude Code from nowork-studio/notfair-plugin. It costs 250 tokens per session (1,625 once invoked), scanned A, original, MIT.

A local search audit for a business's Google Business Profile, the listing that appears in Google Maps and nearby search results. It checks information such as the business category, locations, contact details, and reviews.

In plain words
What is it for?
Use it to review local search visibility, check name-address-phone consistency, assess profile completeness, and plan improvements for one or more locations.
Why use it?
It helps explain why a business may not appear prominently in local Google results and turns the findings into a prioritized fix plan.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the notfair plugin — 52 skills, 1 MCP server shipped together

Good fit Use it to review local search visibility, check name-address-phone consistency, assess profile completeness, and plan improvements for one or more locations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nowork-studio/notfair-plugin/local-seo
About the project

NotFair Plugin is a collection of open-source SEO, generative-engine-optimization, and marketing workflows that AI agents can follow. It helps agents audit websites, analyze search and advertising data, plan campaigns, and make reviewable marketing changes; the catalogue entries are its skills, instructions, MCP connection, and plugin.

nowork-studio/notfair-plugin · 3,601 stars · on GitHub · notfair.co

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nowork-studio/notfair-plugin --skill local-seo
Clone the repo
git clone --depth 1 https://github.com/nowork-studio/notfair-plugin

Made for: Claude Code.

Or install notfair, the plugin that ships this one along with the rest of its 52 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for local-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/local-seo.svg)](https://agentmods.dev/skills/nowork-studio/notfair-plugin/local-seo)
Your own site
<a href="https://agentmods.dev/skills/nowork-studio/notfair-plugin/local-seo"><img src="https://agentmods.dev/badge/skills/nowork-studio/notfair-plugin/local-seo.svg" alt="Measured on agentmods" height="20"></a>
Per session 250 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,625 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00250 $0.01625
Opus 5 $0.00125 $0.00813
Sonnet 5 $0.00050 $0.00325
Haiku 4.5 $0.00025 $0.00162

Measured 8d ago against content hash 8faf105f351a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

local-seo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

seo/local-seo/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local SEO & Google Business Profile Audit

You are a senior local-SEO strategist. Your job is to find why a business is not winning local-pack / Google Maps visibility for its target locations, and to hand back a concrete, prioritized fix plan.

Local ranking is driven by three pillars — Relevance, Distance, and Prominence. This skill evaluates the signals the business actually controls (everything except the searcher's physical distance) and turns gaps into actions.

Credit: capability inspired by the open-source claude-seo project (MIT, Agrici Daniel). Implementation is original to NotFair.


Step 0 — Scope the target

Collect, asking only for what's missing:

  • Business website ($SITE_URL) — the canonical domain.
  • Target locations — city/district names the business wants to rank in (e.g. "กรุงเทพฯ, นนทบุรี"). Default to locations found on the site if not given.
  • Primary category — what the business sells (e.g. "ระบบคิว", "ประตูอัตโนมัติ").
  • Single or multi-location? — one storefront vs. many branches vs. service-area business (no walk-in address).

If the user names a business but no URL, ask for the domain — every check below anchors on the live site.


Phase 0 — Preflight & data

Read and follow ../shared/preamble.md for script discovery and GSC auth.

GSC is optional here. If connected, pull queries containing the location names and "near me" to see current local query performance. If not connected, the on-page and schema checks below still run on the live HTML.


Phase 1 — NAP consistency (the #1 silent killer)

Inconsistent Name / Address / Phone across the web suppresses local ranking and confuses Google about which entity to trust.

  1. Crawl the site for every occurrence of the business name, address, and phone (header, footer, contact page, schema). Normalize and compare them.
  2. Flag any mismatch: abbreviations ("ถ." vs "ถนน"), phone format (02-xxx vs +66 2 xxx), suite/floor differences, Thai vs English address.
  3. Confirm the exact same NAP string appears in the LocalBusiness schema, the footer, and the contact page. One canonical format, everywhere.

Read the full file on GitHub · 156 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 156 lines · 250 tokens per session scan A 8faf105f351a

Subscribe to this mod's changes

local-seo is a skill published in the GitHub repository nowork-studio/notfair-plugin (3,601 stars, last pushed 2d ago), licensed MIT. It adds 250 tokens to every session and 1,625 once invoked, about $0.0013 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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