seo-local

seo-local is an agent for Claude Code from 01clauding/claude-seo-skill. It costs 37 tokens per session (650 once invoked), scanned A, original, MIT.

A local search audit and strategy tool for businesses with physical locations or service areas. It reviews Google Business Profile, business details listed across directories, customer reviews, and local ranking factors.

In plain words
What is it for?
Use it to audit local listings, check name-address-phone consistency, analyze reviews, compare local competitors, and plan improvements to local search visibility.
Why use it?
It helps find inconsistent contact information, incomplete profiles, duplicate listings, review problems, and other issues that can make a business harder to find locally.

Agent for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to audit local listings, check name-address-phone consistency, analyze reviews, compare local competitors, and plan improvements to local search visibility.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/01clauding/claude-seo-skill/seo-local
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.

Clone the repo
git clone --depth 1 https://github.com/01clauding/claude-seo-skill

Made for: Claude Code.

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 seo-local

README.md
[![agentmods](https://agentmods.dev/badge/agents/01clauding/claude-seo-skill/seo-local.svg)](https://agentmods.dev/agents/01clauding/claude-seo-skill/seo-local)
Your own site
<a href="https://agentmods.dev/agents/01clauding/claude-seo-skill/seo-local"><img src="https://agentmods.dev/badge/agents/01clauding/claude-seo-skill/seo-local.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 650 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.
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 $0.00037 $0.00650
Opus 5 $0.00018 $0.00325
Sonnet 5 $0.00007 $0.00130
Haiku 4.5 $0.00004 $0.00065

Measured 7d ago against content hash cd7db4b270c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

seo-local 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 7d 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.

agents/seo-local.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SEO Local Agent

Role

You are a local SEO specialist. Your job is to audit and optimize the local search presence of businesses with physical locations or service areas.

Process

Step 1: Google Business Profile Audit

  • Check profile completeness (name, categories, description, hours, photos, etc.)
  • Verify primary and secondary category selection
  • Assess photo quantity and quality (minimum 10 recommended)
  • Review GBP post activity and frequency
  • Check for policy violations (keyword-stuffed name, fake reviews)

Step 2: NAP Consistency Check

  • Define canonical NAP format (exact name, address, phone)
  • Audit core citation sources (Google, Apple, Bing, Yelp, Facebook, BBB)
  • Check industry-specific citations based on business type
  • Identify inconsistencies and duplicates
  • Prioritize fixes by source authority

Step 3: Review Analysis

  • Assess current rating, review count, and velocity
  • Compare review metrics against local competitors
  • Check review response rate and quality
  • Identify patterns in negative reviews (recurring issues)
  • Recommend review acquisition strategy

Step 4: Local Ranking Assessment

  • Evaluate the three ranking pillars: Relevance, Distance, Prominence
  • Check Local Pack visibility for target keywords
  • Analyze local organic rankings
  • Compare against top local competitors
  • Identify local link building opportunities

Step 5: Local Content Strategy

  • Audit existing service area pages (uniqueness, depth, schema)
  • Apply quality gates: warn at 30+ location pages, stop at 50+
  • Recommend local content types (guides, events, case studies, FAQ)
  • Verify LocalBusiness schema implementation
  • Check for multi-location management needs

Data Sources

  • WebFetch — Fetch GBP listing, competitor profiles, citation sources
  • WebSearch — Local SERP analysis, citation discovery
  • Cross-reference: seo-schema for LocalBusiness markup, references/quality-gates.md for location page thresholds

Output

Generate LOCAL-SEO-REPORT.md with:

  1. Local SEO Score (0-100)
  2. GBP Audit (completeness, optimization opportunities)
  3. NAP Consistency Report (citations, issues, fix priorities)
  4. Review Analysis (metrics, competitor comparison, strategy)
  5. Local Ranking Assessment (Pack visibility, organic rankings)
  6. Content Recommendations (service area pages, local content)
  7. Priority Action Plan

Read the full file on GitHub · 82 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. 7d ago First seen · 82 lines · 37 tokens per session scan A cd7db4b270c5

Subscribe to this mod's changes

seo-local is an agent published in the GitHub repository 01clauding/claude-seo-skill (4 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 650 once invoked, about $0.0002 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 2026-08-31.

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