What does this skill do, and when should you use it?
This is the maps-intelligence skill within the claude-seo repository, focused on how local businesses appear across Google Maps, Bing Places, Apple Maps, and OpenStreetMap. It performs maps presence audits, geo-grid rank scans, Google Business Profile audits, cross-platform review analysis, competitor radius mapping, NAP verification, and LocalBusiness JSON-LD generation. Capability is divided into free Tier 0, DataForSEO Tier 1, and Tier 2 with Google Maps API coverage. It fits local SEO workflows that need map and listing diagnostics, but advanced ranking and review analysis require external APIs.
Detects the available capability tier; uses Overpass, Geoapify, and Nominatim for competitor discovery, POI search, and geocoding; uses DataForSEO for geo-grid ranking, GBP profile audits, and review intelligence; verifies name, address, and phone consistency across Google, Bing, Apple, and OSM; maps competitors within a radius and calculates competitive density when Tier 1 data is available; generates LocalBusiness JSON-LD from collected data; and writes MAPS-ANALYSIS-{domain}.md with a health score, tier explanation, heatmap, GBP audit, review analysis, competitor landscape, platform status, schema recommendation, prioritized actions, cost report, and limitations.
- A local SEO consultant needs to check whether a business has consistent name, address, and phone details across major map platforms.
- A local business wants to measure how Google Maps rankings vary across its service area using a DataForSEO geo-grid scan.
- An operator needs to review GBP completeness, review velocity, rating distribution, and owner response coverage.
- An SEO or development team needs to generate LocalBusiness JSON-LD from collected business information.
How do you install this skill?
- Core data functions depend on DataForSEO, Google, Bing, Apple, Tripadvisor, Trustpilot, Overpass, Geoapify, and Nominatim; mainland-China connectivity or missing credentials may degrade or prevent operation.
- Only geo-grid scans have an explicit cost-confirmation gate; other quota-consuming, third-party-accessing, or credential-using actions should add confirmation and data-flow disclosure before execution.
- This static review did not verify map API parameters, shared references, report generation, or Tier 0/1/2 detection logic; outputs require human review.
- Fake-review signals, ranking-risk rules, and competitive-density calculations are heuristic and may produce false positives; they should not be treated as definitive business or platform-enforcement findings.
- Network access
- Local filesystem
- MCP Server
DataForSEO MCP for Tier 1 capabilitiesGoogle Maps API for Tier 2 capabilitiesOverpass APIGeoapifyNominatim
Install the full Claude SEO collection using the repository README. In Claude Code, run /plugin marketplace add AgriciDaniel/claude-seo, then /plugin install claude-seo@agricidaniel-claude-seo; or run git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git followed by bash claude-seo/install.sh. This skill is located at skills/seo-maps/SKILL.md.
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git "$tmp"
mkdir -p ~/.claude/skills
cp -R "$tmp/skills/seo-maps" ~/.claude/skills/
rm -rf "$tmp"Generated from the source repository and skill path; it copies only this skill's folder. If the author's install steps above differ, follow those first. To scope it to one project, replace ~/.claude/skills with that project's .claude/skills.
How do you use this skill?
In Claude Code, use /seo maps <url> for a full maps presence audit; /seo maps grid <keyword> <location> for geo-grid ranking; /seo maps reviews <business> <location> for review intelligence; /seo maps competitors <keyword> <location> for competitor mapping; /seo maps nap <business-name> for NAP verification; /seo maps schema <business-name> for LocalBusiness JSON-LD; and /seo maps gbp <business> <location> for a GBP audit. The detected tier must be reported at the start of analysis. Before every geo-grid scan, the workflow must show an estimated cost and request confirmation.
What are this skill's strengths and limitations?
- Covers concrete map-platform tasks including presence, geo-grid ranking, GBP, reviews, competitors, NAP, and local structured data.
- Provides a free Tier 0 using Overpass, Geoapify, and Nominatim, with optional DataForSEO and Google Maps API enrichment.
- Clearly separates map-platform analysis from the website-level local SEO checks assigned to seo-local.
- Reports prioritized actions, limitations, and Tier 1 DataForSEO costs to make the evidence boundary explicit.
- Geo-grid ranking, live GBP auditing, and review intelligence require DataForSEO; broader Tier 2 coverage also requires Google Maps API.
- Tier 0 is limited to static checks, free-API discovery, and guidance rather than complete live ranking and review data.
- Geo-grid scans consume DataForSEO credits and require confirmation before execution.
- Google Maps terms restrict storage in Tier 2: only place_id may be stored, while latitude and longitude may be cached for up to 30 days.
- The supplied material does not show test coverage specific to this individual skill.
How does this skill compare with similar options?
Side by side with related skills; every score comes from the same FSRS standard.
| Skill | FS score | Stars | Last updated | License |
|---|---|---|---|---|
| Maps Intelligence for Local SEO this page | 54 · Use with care | ★ 19k | 23d ago | MIT |
| Local SEO Analyzer | 52 · Use with care | ★ 19k | 23d ago | MIT |
| Page Play Builder: Scaled SEO Page Builder | 54 · Use with care | ★ 3k | 13d ago | Apache-2.0 |
| Claude SEO Site Analysis | 46 · Use with care | ★ 19k | 23d ago | MIT |
| FLOW Evidence-Led SEO | 47 · Use with care | ★ 19k | 23d ago | MIT |
Compared with the repository's seo-local skill, this skill analyzes a business on map platforms through APIs, including maps, GBP, and review data; seo-local analyzes local SEO signals on the website through HTML fetching. Compared with an external-data-free workflow, Tier 0 is lighter but provides less live ranking and review intelligence.
How did FollowSkills review this skill?
The skill documents capability tiers, mandatory cost display and confirmation before geo-grid scans, Google ToS restrictions on place_id and caching, error handling, and a prohibition on self-serving review markup; no red-line risk is evident. Points are deducted because data flows for external APIs, WebFetch, environment credentials, and network requests are not itemized, and explicit per-operation confirmation, least-privilege controls, and rollback are largely absent outside geo-grid scans.
The evidence shows fairly complete commands, tiered workflows, cost prompts, and handling for several abnormal cases, with repository-level CI and test materials. Points are deducted because this review did not execute the skill and no maps-specific reproducibility tests are supplied; Tier 2 detection/output coverage is incomplete, and referenced files or MCP availability could still break key paths. Static calibration caps this dimension at 10.
The evidence shows a clear local-business maps audience, semantic trigger phrases, argument hint, tiered capabilities, and a boundary with seo-local. Points are deducted because input contracts, fallback output behavior, and non-fit ranges remain incomplete; enhanced core functions depend on DataForSEO, Google, Bing, and other overseas services, with no Chinese-language or mainland-China reachability evidence.
The evidence shows metadata, versioning, MIT licensing, quick reference material, progressive tier disclosure, referenced resources, an output contract, delegation guidance, and an error table; repository README, license, security policy, and CI add governance context. Points are deducted because the skill lacks its own changelog, stable parameter specification, explicit maintenance owner/update path, and independent examples or FAQ; author metadata exists, but publisher provenance is not verified by FollowSkills.
The evidence shows broad coverage of geo-grid ranking, GBP, reviews, competitors, NAP, and JSON-LD, with a defined report structure, prioritized actions, and limitations disclosure. Points are deducted because results depend on multiple unverified external APIs and shared reference files; Tier 0 leaves many fields static or undetectable, and there is no skill-specific execution evidence for correctness, completeness, or marginal benefit over manual or alternative tools. Static calibration caps this dimension at 7.
The evidence includes the SoLV formula, source categories, algorithm reference paths, Google ToS constraints, and explicit error states; the repository also supplies general CI, test-count claims, and security-test material. Points are deducted because there are no maps-specific tests, real maps output samples, or independent corroboration, and key claims rely on referenced materials not included here or lack direct source attribution. Static calibration caps this dimension at 5.
Open a dimension to read why it scored that way
Evidence confidence：Low — Mostly static review, author material or a limited demo; useful for discovery, not high-risk decisions.
See the full review method →