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Maps Intelligence

Free

Optimize local SEO with advanced mapping insights.

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Free · Opens the source repo

What Maps Intelligence does

Maps Intelligence is a skill designed to enhance local SEO strategies by providing comprehensive analysis across various mapping platforms, including Google Maps, Bing Places, Apple Maps, and OpenStreetMap. By leveraging external APIs, this skill allows users to audit their business presence, track geo-grid rankings, and analyze reviews from multiple platforms. It is particularly useful for local businesses looking to improve their visibility and performance in local search results.

The skill operates on a tiered system, offering different capabilities based on the user's access to various data sources. The free tier allows for basic functionalities such as competitor discovery and schema generation, while higher tiers unlock advanced features like geo-grid rank tracking and detailed GBP profile audits. Users can easily initiate audits and analyses through simple commands, making it accessible even for those with minimal technical expertise.

Maps Intelligence is particularly suited for local business owners, SEO professionals, and digital marketers who need to understand their competitive landscape and optimize their online presence. The skill's ability to generate insights from real-time data helps users make informed decisions about their local SEO strategies. Additionally, the integration of review intelligence allows businesses to gauge customer sentiment and improve their service offerings based on feedback across platforms like Google, Tripadvisor, and Trustpilot.

With its clear workflows and tiered capabilities, Maps Intelligence not only simplifies the process of local SEO analysis but also empowers users to take actionable steps towards enhancing their business's online footprint. Whether you're conducting a full maps presence audit or investigating competitor strategies, this skill provides the necessary tools to navigate the complexities of local SEO effectively.

When to use it

Use this skill when you need to assess your business's visibility on maps and track local SEO performance.

When not to use it

This skill is not suitable for website-level SEO analysis; use seo-local for that purpose.

What you can build with it

Full Maps Presence Audit

Run a comprehensive audit of your business's visibility across mapping platforms to identify areas for improvement.

Geo-Grid Rank Tracking

Simulate searches from multiple GPS coordinates to understand ranking variations in your target area.

Competitor Analysis

Map out competitor locations and strategies to refine your own local SEO approach.

How to install Maps Intelligence

View source

1. Install with the skills CLI

npx skills add agricidaniel/claude-seo/seo-maps --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by agricidaniel

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. Capabilities: Overpass API competitor discovery, Geoapify POI search, Nominatim geocoding, static GBP checklist, schema generation, cross-platform NAP guidance. Load: ../seo/references/maps-free-apis.md

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: ../seo/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: ../seo/references/maps-geo-grid.md for algorithm, SoLV formula, heatmap format. Load: ../seo/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: ../seo/references/maps-gbp-checklist.md for full checklist and scoring.

AI & 2026 context (third-party reported): Ask Maps, reported by AP News as a Gemini conversational Maps feature launched 2026-03-12 (iOS/Android, US + India). AI Mode (1B+ MAU, reported from Google I/O 2026 keynote coverage; not confirmed on a Google-owned source) increasingly surfaces 1-2 business local AI interfaces in third-party terminology, and agentic booking/calling for local services (home repair, beauty, pet care) rolls out to all US users summer 2026 (Google can call businesses on the user's behalf). New 2026 GBP API additions: review media URLs, recurring local-post scheduling, review reply-state/moderation, and invitation Place ID. Source: blog.google/products-and-platforms/products/search/search-io-2026/ · developers.google.com/my-business/content/latest-updates

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: ../seo/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: ../seo/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 -- verify/claim Apple business listing presence; treat Apple Business launch/rename claims as TechRadar-sourced until confirmed by Apple primary)
    • 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: ../seo/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):

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

Frequently asked questions about Maps Intelligence

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