本文へ移動
cccskills
無料GitHub で公開

seo-maps

Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".

インストール方法を見る

含まれるファイル(1)

  • SKILL.md11.8 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Maps Intelligence (March 2026)

Maps platform analysis for local businesses. Works with external APIs to assess how a business appears on Google Maps, Bing Places, Apple Maps, and OpenStreetMap.

Boundary with seo-local: This skill analyzes the business on maps PLATFORMS (via APIs). seo-local analyzes local SEO signals on the WEBSITE (via HTML fetch). Do not duplicate seo-local on-page analysis. Recommend /seo local <url> for website-level checks.


Quick Reference

CommandWhat it doesTier
/seo maps <url>Full maps presence audit (auto-selects tier)0+
/seo maps grid <keyword> <location>Geo-grid rank scan (7x7, 1 keyword default)1+
/seo maps reviews <business> <location>Cross-platform review intelligence1+
/seo maps competitors <keyword> <location>Competitor radius mapping0+
/seo maps nap <business-name>Cross-platform NAP verification0+
/seo maps schema <business-name>Generate LocalBusiness JSON-LD from data0+
/seo maps gbp <business> <location>GBP completeness audit1+

Three-Tier Capability Detection

Before any analysis, detect the available capability tier:

Tier 0 (Free)

Detection: DataForSEO MCP tools NOT available and Apify MCP tools NOT available. Capabilities: Overpass API competitor discovery, Geoapify POI search, Nominatim geocoding, static GBP checklist, schema generation, cross-platform NAP guidance. Load: references/maps-free-apis.md

Tier 0.5 (Apify)

Detection: DataForSEO MCP tools NOT available, but Apify MCP tools ARE available (any tool whose name includes apify). Capabilities: Everything in Tier 0 PLUS live Google Maps business data, real review data with dates and text, and Yelp/TripAdvisor cross-platform presence verification. Actors used:

  • apify/google-maps-scraper — business name, address, phone, rating, review count, hours, categories, coordinates
  • apify/google-maps-reviews-scraper — review text, rating, date, author (enables velocity and sentiment analysis)
  • apify/yelp-scraper — Yelp listing NAP and reviews for cross-platform NAP verification

Limitations vs Tier 1: No geo-grid rank tracking (requires DataForSEO Maps SERP API per coordinate). No GBP completeness score. Tier 0.5 covers competitor mapping, review intelligence, and NAP verification but not position tracking.

💡 Apify not connected — running at Tier 0 (free APIs only). Connect the Apify MCP connector to unlock live Google Maps data, review velocity analysis, and cross-platform NAP verification without a DataForSEO subscription.

Tier 1 (DataForSEO)

Detection: business_data_business_listings_search MCP tool IS available. Capabilities: Everything in Tier 0 PLUS geo-grid rank tracking, live GBP profile audit, review intelligence (velocity, sentiment, distribution), GBP post activity, Q&A data, Tripadvisor/Trustpilot reviews. Load: references/maps-api-endpoints.md

Tier 2 (DataForSEO + Google Maps Platform)

Detection: Tier 1 available AND Google Maps API key in environment. Capabilities: Everything in Tier 1 PLUS Google Places details, real-time business status, AI-powered place summaries, photo analysis. Note: Google ToS restricts storage to place_id only. Lat/lng cached 30 days max.

Always communicate the detected tier to the user at the start of analysis.


Geo-Grid Rank Tracking (Tier 1+)

Simulates Google Maps searches from multiple GPS coordinates to show ranking variation across a geographic area. Requires DataForSEO.

Load: references/maps-geo-grid.md for algorithm, SoLV formula, heatmap format. Load: references/maps-api-endpoints.md for Maps SERP endpoint details.

Workflow

  1. Geocode business address to get center lat/lng
  2. Generate grid points (default: 7x7, 5km radius) using Haversine offset formula
  3. Display cost estimate and ask for confirmation before proceeding
  4. Fire DataForSEO Maps SERP API calls with location_coordinate per grid point
  5. Find target business rank at each point
  6. Calculate SoLV: (top_3_count / total_points) * 100
  7. Render ASCII heatmap in output

Cost Warning (REQUIRED)

Before every geo-grid scan, display:

Geo-Grid Scan: [keyword] at [location]
Grid: 7x7 (49 points) | Keywords: [N] | Est. cost: $[amount]
DataForSEO credits will be consumed. Proceed?

GBP Profile Audit (Tier 1 preferred, Tier 0 manual)

Audits the 25 fields that affect Google Business Profile quality and ranking.

Load: references/maps-gbp-checklist.md for full checklist and scoring.

Tier 1 Workflow

  1. Fetch business profile via DataForSEO My Business Info API (keyword or CID)
  2. Map API response fields to 25-field checklist
  3. Score each field: Present + Optimized = 2pts, Present = 1pt, Missing = 0pts
  4. Apply industry-specific weight multipliers
  5. Normalize to 0-100 scale

Tier 0 Workflow

  1. Fetch the business website via WebFetch
  2. Extract any visible GBP signals (Maps embed, place references, review widgets)
  3. Apply static checklist based on detectable signals
  4. Mark undetectable fields as "Unknown (requires DataForSEO for live data)"

Review Intelligence (Tier 1+)

Cross-platform review analysis: velocity, sentiment, rating distribution, fake detection.

Reference: references/local-seo-signals.md for benchmarks (shared with seo-local).

Workflow

  1. Fetch Google reviews via DataForSEO Reviews API (sort by newest)
  2. Calculate review velocity: reviews per month over last 6 months
  3. Check 18-day rule (Sterling Sky): any 3-week gap = ranking risk
  4. Analyze rating distribution: healthy = bell curve skewed to 5-star
  5. Calculate owner response rate: responses / total reviews
  6. Fetch Tripadvisor and Trustpilot reviews (if available)
  7. Cross-platform comparison table

Fake Review Detection Signals

Flag reviews matching 2+ of these patterns:

  • Uniform timing (multiple reviews same day/hour)
  • Reviewer accounts with limited history or single review
  • Geographic inconsistencies (reviewer location vs business location)
  • Exclusively 5-star velocity spike (vs historical baseline)
  • Identical or near-identical text across reviews
  • Sudden volume spike without corresponding marketing activity

Competitor Radius Mapping (Tier 0+)

Identify and analyze competitors within a defined radius.

Tier 0 (Overpass API)

Load: references/maps-free-apis.md for query templates.

  1. Geocode business address
  2. Query Overpass API for businesses with same OSM tag within radius
  3. Parse results: name, address, phone, website, distance from center
  4. Sort by distance, present as competitor landscape table

Tier 1 (DataForSEO)

  1. Use Maps SERP API with business keyword + location
  2. Extract top 20 competitors with full profile data
  3. Compare: rating, review count, categories, photos, attributes
  4. Calculate competitive density score: competitors per km^2

Cross-Platform NAP Verification (Tier 0+)

Check business listing consistency across Google, Bing Places, Apple, and OSM.

Workflow

  1. Search for business name on each platform:
    • Google: infer from GBP data or Maps SERP result
    • Bing: WebFetch https://www.bing.com/maps?q=BUSINESS+NAME+LOCATION
    • Apple: manual check (no public API -- recommend Apple Business Connect at businessconnect.apple.com)
    • OSM: Overpass or Nominatim search
  2. Extract NAP (Name, Address, Phone) from each source
  3. Compare for consistency: exact match, partial match, missing, or conflicting
  4. Flag discrepancies as Critical (name mismatch), High (address mismatch), Medium (phone mismatch)
  5. Recommend claiming unclaimed profiles

Schema Generation (Tier 0+)

Generate LocalBusiness JSON-LD markup from collected data.

Reference: references/local-schema-types.md for industry subtypes (shared with seo-local).

Workflow

  1. Determine most specific schema subtype for the industry
  2. Populate required properties: @type, name, address, image
  3. Add recommended properties: telephone, url, geo, openingHoursSpecification, priceRange
  4. Add strategic properties for multi-location: branchOf, areaServed, sameAs
  5. Add aggregateRating if review data available
  6. Output valid JSON-LD block ready for implementation

Do NOT generate self-serving review markup -- Google ignores LocalBusiness review markup from the business itself. Only mark up third-party reviews visible on the page.


Reference Files

Load on-demand as needed (do NOT load all at startup):

  • references/maps-api-endpoints.md: DataForSEO endpoint details, params, costs
  • references/maps-free-apis.md: Overpass, Geoapify, Nominatim query templates
  • references/maps-geo-grid.md: Grid algorithm, SoLV formula, heatmap rendering
  • references/maps-gbp-checklist.md: 25-field GBP audit with industry weights
  • references/local-seo-signals.md: Ranking factors, review benchmarks (shared)
  • references/local-schema-types.md: LocalBusiness subtypes by industry (shared)

Output

Generate MAPS-ANALYSIS-{domain}.md with:

  1. Maps Health Score: XX/100 with dimension breakdown table
  2. Capability tier detected (Tier 0 or Tier 1) with explanation of what's available
  3. Geo-grid heatmap (Tier 1): ASCII grid with SoLV percentage and average rank
  4. GBP profile audit: field-by-field scoring with industry-specific weights
  5. Review intelligence: velocity chart, rating distribution, response rate, cross-platform comparison
  6. Competitor landscape: count in radius, top 5 by rating/reviews, competitive density
  7. Cross-platform presence: Google/Bing/Apple/OSM listing status
  8. Schema recommendation: generated LocalBusiness JSON-LD (if missing or incomplete)
  9. Top 10 prioritized actions (Critical > High > Medium > Low)
  10. Cost report: DataForSEO credits consumed during analysis (Tier 1 only)
  11. Limitations disclaimer: what could not be assessed at current tier

Cross-Skill Delegation

  • Website on-page local signals: recommend /seo local <url>
  • Full AI search visibility: recommend /seo geo <url>
  • Schema validation and fixes: recommend /seo schema <url>
  • Live SERP and keyword data: recommend /seo dataforseo [command]

Error Handling

ScenarioAction
DataForSEO MCP not availableDrop to Tier 0. Inform user: "DataForSEO not detected. Running free-tier analysis. For geo-grid tracking and review intelligence, install the DataForSEO extension."
Business not found in Maps SERPTry My Business Info with keyword. If still not found, report "Business not found in Google Maps for this location."
Geocoding fails (Nominatim)Ask user to provide coordinates or a more specific address.
API rate limit hitReport the limit. Suggest waiting or using standard (queued) method instead of live.
No reviews foundReport zero review state. Recommend review generation strategy with 18-day cadence target.
Multi-location detectedAsk user which location to analyze, or offer batch mode with per-location cost estimate.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Design rigorous A/B tests with hypotheses, variants, metrics, and sample size calculations.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Format CVs for academic positions with publications, grants, and teaching

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Conduct a comprehensive accessibility audit against WCAG guidelines with severity ratings and remediation steps.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Create accessibility testing plans covering assistive technologies and WCAG criteria.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

When the user wants to generate, iterate, or scale ad creative — headlines, descriptions, primary text, or full ad variations — for any paid advertising platform. Also use when the user mentions 'ad copy variations,' 'ad creative,' 'generate headlines,' 'RSA headlines,' 'bulk ad copy,' 'ad iterations,' 'creative testing,' 'ad performance optimization,' 'write me some ads,' 'Facebook ad copy,' 'Google ad headlines,' 'LinkedIn ad text,' or 'I need more ad variations.' Use this whenever someone needs to produce ad copy at scale or iterate on existing ads. For campaign strategy and targeting, see ads. For landing page copy, see copywriting.

日本語の概要は準備中です。原文の説明を表示しています。

Infrasity-Labs/dev-gtm-claude-skills1362026年6月29日 更新

Infrasity-Labs のスキルをすべて見る

このスキルの問題を報告する