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Agent skill

Maps Intelligence for Local SEO

by AgriciDaniel in AgriciDaniel/claude-seo

Audits how a local business appears across Google Maps, Bing Places, Apple Maps, and OpenStreetMap, with geo-grid rank tracking.

MITAuto-check passedMarketing & SEO

Install Maps Intelligence for Local SEO

skills CLI
$ npx skills add AgriciDaniel/claude-seo --skill seo-maps -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgriciDaniel/claude-seo seo-maps --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-seo.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-maps .claude/skills/seo-maps && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-maps
GitHub stars
18k
Used in
1 other repo
Token cost
~3.1k tokens
SKILL.md length
1,428 words
Files
2
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

Audits how a local business appears across Google Maps, Bing Places, Apple Maps, and OpenStreetMap, with geo-grid rank tracking.

  • Works in 8 steps: Geocode business address to get center… → Generate grid points (default: 7x7, 5km… → Display cost estimate and ask for… → …
  • Auditing a business's Google Business Profile completeness
  • SKILL.md covers Quick Reference, Three-Tier Capability Detection, Geo-Grid Rank Tracking (Tier 1+) and GBP Profile Audit (Tier 1…, plus 8 more sections
  • Reaches bing.com

What it does

A three-tier capability check runs before any analysis: a free tier using Overpass, Geoapify, and Nominatim for competitor discovery and schema generation, a DataForSEO tier that adds geo-grid rank scanning and live Google Business Profile and review intelligence, and a combined tier that adds Google Places details once a Maps API key is present, each tier communicated up front. A firm boundary is drawn with a separate on-page local-SEO skill: this one analyzes map platforms through their APIs, not local SEO signals on the website itself.

When your agent uses it

  • Auditing a business's Google Business Profile completeness
  • Running a geo-grid rank scan across a service area
  • Checking NAP consistency across Google, Bing, and Apple Maps

Example prompts

  • “Run a geo-grid rank scan for 'plumber' around our service area.”
  • “Audit our Google Business Profile completeness.”
  • “Check NAP consistency for this business across all map platforms.”

Requirements

  • DataForSEO MCP (Tier 1+)
  • Google Maps API key (Tier 2)
  • Compatibility (from SKILL.md): DataForSEO MCP for Tier 1+, Google Maps API for Tier 2

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  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
  8. Save the grid for later comparison and for the seo-cockpit Maps view

What it can do on your machine

Read from SKILL.md and the folder at commit 4b99de2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • bing.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    DataForSEO MCP for Tier 1+, Google Maps API for Tier 2

    From compatibility in the SKILL.md frontmatter.

Context cost

Maps Intelligence for Local SEO loads about 3.1k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 1,428 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~112
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgriciDaniel/claude-seo at commit 4b99de2, republished under its MIT licence (© AgriciDaniel). 1,428 words, ~3,103 tokens.

Download SKILL.mdSave it as .claude/skills/seo-maps/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
seo-maps
description
Maps intelligence for local SEO: geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification, competitor radius mapping, and LocalBusiness schema generation. Three tiers: free (Overpass + Geoapify), DataForSEO, and DataForSEO + Google. Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", or "SoLV".
compatibility
DataForSEO MCP for Tier 1+, Google Maps API for Tier 2
user-invocable
true
argument-hint
[command] [url|keyword|location]
license
MIT
metadata.author
AgriciDaniel
metadata.version
2.4.2
metadata.category
seo

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
  8. Save the grid for later comparison and for the seo-cockpit Maps view: {business-slug}-maps/geo-grid-{keyword-slug}-{YYYY-MM-DD}.json with {"business", "keyword", "location", "date", "size", "radius_km", "solv", "ranks": [[...], ...]}, where ranks is row-major from north-west to south-east and each cell is the business's rank at that point (an integer), or null when it is not in the results
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+ monthly users, stated by Google at I/O 2026) increasingly surfaces 1-2 business local AI interfaces in third-party terminology, and agentic booking/calling for local services (home repair, beauty, pet care) was announced at I/O 2026 for a summer US rollout (Google can call businesses on the user's behalf); confirm current availability before promising it. 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 review gaps: long gaps are a ranking risk (a Sterling Sky 2025 case example dropped after 18 days without reviews; not a fixed threshold)
  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
Show full SKILL.md (570 more words)Show less
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)
  • ../seo/references/local-schema-multilocation.md: Multi-location schema pattern (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 a review generation strategy with a steady cadence (no gaps longer than about 2 to 3 weeks).
Multi-location detectedAsk user which location to analyze, or offer batch mode with per-location cost estimate.

© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/seo-maps of AgriciDaniel/claude-seo.

  • SKILL.md
  • LICENSE.txt

Open the folder on GitHubat commit 4b99de2

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in AgriciDaniel/claude-seo, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Maps Intelligence for Local SEO next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Maps Intelligence for Local SEO compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Maps Intelligence for Local SEO this skillAgriciDaniel/claude-seo18k1 repos~3.1kAutomated safety check: PassMIT
Google Mapscablate/mcp-google-map468—~909Automated safety check: PassMIT
Google Maps Local SEOcablate/mcp-google-map468—~633Automated safety check: PassMIT
Google Maps Travel Planningcablate/mcp-google-map468—~710Automated safety check: PassMIT
Local SEOnowork-studio/notfair-plugin3.9k—~1.6kAutomated safety check: PassMIT
Local SEO Manageralirezarezvani/claude-skills28k—~3.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Maps Intelligence for Local SEO

What does Maps Intelligence for Local SEO do?

Audits how a local business appears across Google Maps, Bing Places, Apple Maps, and OpenStreetMap, with geo-grid rank tracking. A three-tier capability check runs before any analysis: a free tier using Overpass, Geoapify, and Nominatim for competitor discovery and schema generation, a DataForSEO tier that adds geo-grid rank scanning and live Google Business Profile and review intelligence, and a combined tier that adds Google Places details once a Maps API key is present, each tier communicated up front. A firm boundary is drawn with a separate on-page local-SEO skill: this one analyzes map platforms through their APIs, not local SEO signals on the website itself.

When should I use Maps Intelligence for Local SEO?

Maps Intelligence for Local SEO fits situations like: auditing a business's Google Business Profile completeness; running a geo-grid rank scan across a service area; checking NAP consistency across Google, Bing, and Apple Maps.

How do I install Maps Intelligence for Local SEO in Claude Code?

Run `npx skills add AgriciDaniel/claude-seo --skill seo-maps -a claude-code`. Or copy the skill folder (skills/seo-maps in AgriciDaniel/claude-seo) into .claude/skills/seo-maps in your project. Claude Code loads it when a task matches its description.

How do I install Maps Intelligence for Local SEO in Codex?

Run `npx skills add AgriciDaniel/claude-seo --skill seo-maps -a codex`. Or copy the skill folder (skills/seo-maps in AgriciDaniel/claude-seo) into .agents/skills/seo-maps in your project. Codex loads it when a task matches its description.

Can I use Maps Intelligence for Local SEO in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-seo --skill seo-maps -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-maps, .gemini/skills/seo-maps, .github/skills/seo-maps and .opencode/skills/seo-maps in your project.

What does Maps Intelligence for Local SEO need to run?

SKILL.md names no scripts, command-line tools or credentials: Maps Intelligence for Local SEO is instructions for the agent only. Our summary lists: DataForSEO MCP (Tier 1+); Google Maps API key (Tier 2). Compatibility (from SKILL.md): DataForSEO MCP for Tier 1+, Google Maps API for Tier 2.

Does Maps Intelligence for Local SEO access the network?

SKILL.md names 1 domain. In commands or code: bing.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Maps Intelligence for Local SEO safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Maps Intelligence for Local SEO use?

Maps Intelligence for Local SEO is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Maps Intelligence for Local SEO use?

About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Maps Intelligence for Local SEO?

Skills that share tags, products or a category with Maps Intelligence for Local SEO: Google Maps (cablate/mcp-google-map, 468 stars), Google Maps Local SEO (cablate/mcp-google-map, 468 stars), Google Maps Travel Planning (cablate/mcp-google-map, 468 stars) and Local SEO (nowork-studio/notfair-plugin, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Maps Intelligence for Local SEO?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-seo, which has 18,494 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 4, 2026.

Source: AgriciDaniel/claude-seo on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.