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local-seo

Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.

Skill by luxiaolei

IndexedMIT
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/luxiaolei-local-seo

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.

Use cases: security, marketing

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/local-seo

What's inside

Skill name
local-seo
Description
Audit and improve local discovery for physical, service-area, and hybrid businesses using location evidence, reputation, local pages, and business profiles.
License
MIT
Instructions
26 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • SKILL.zh-CN.md

SKILL.md (first lines)

# Local SEO

Use only when the product/business has a genuine local-service or physical-location component.

## Detect business model

Classify as physical location, service-area business, hybrid, or multi-location. This determines which checks are relevant; do not force street-address/map requirements onto legitimate service-area businesses.

## Audit

1. Verify business identity, name/address/phone or service-area facts across visible site content, relevant structured data, and connected business-profile sources.
2. Check primary service/category positioning, hours, contact/directions, local proof, service areas, and location-specific user questions.
3. Review reputation evidence: review volume/recency/themes, owner responses, policy compliance, and whether reviews are represented truthfully on the site.
4. Evaluate location/service pages for genuine local usefulness. Reject doorway pages that merely swap place names while preserving generic content.
5. Check local internal linking, LocalBusiness/Organization schema where truthful, map/directions UX where appropriate, and mobile contact actions.
6. If map-pack or geo-grid data is available from an authorized provider, use it as observed evidence rather than estimating proximity performance.

## Quality and safety

Do not manufacture reviews, use review gating, invent addresses, or create location pages for places the business does not actually serve. Industry-specific privacy/professional rules may constrain review responses and claims.

## Output

Return business model, identity/reputation consistency findings, profile/site gaps, location-page opportunities, local conversion issues, and prioritized experiments with evidence and geographic scope.

From luxiaolei/AutoSpread, MIT.

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Last commit (this folder)
Sep 28, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Cite this page

local-seo skill. Agent Mart. https://agentmart.dev/skills/luxiaolei-local-seo (last updated 2026-10-24)