What is competitor-analysis-local?

A method for comparing nearby competitors using a CSV spreadsheet exported from Google Maps. It examines ratings, review counts, websites, contact details, locations, categories, and market positioning without making API calls.

Use it to compare local businesses, assess a potential location, identify market opportunities, and benchmark a company against nearby competitors.

It turns a list of local businesses into a structured comparison and helps reveal gaps in competitors’ online presence or positioning.

competitor-analysis-local — Skill by gmapsscraper

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add gmapsscraper/google-maps-agent-skills --skill competitor-analysis-local

Clone the repo

git clone --depth 1 https://github.com/gmapsscraper/google-maps-agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local/github.svg)](https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local)

Your own site

<a href="https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local"><img src="https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local"><img src="https://agentmods.dev/badge/skills/gmapsscraper/google-maps-agent-skills/competitor-analysis-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,066 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01066
Opus 5.5	$0.00014	$0.00426
Sonnet 5.5	$0.00007	$0.00213
Haiku 4.5	$0.00004	$0.00107

Measured 2mo ago against content hash 25f6391244dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitor-analysis-local scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

competitor-analysis-local/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Local Competitor Analysis

Analyze your local competitors using Google Maps export data. Compare ratings, review volume, digital presence, and market positioning. Identify gaps and opportunities — no API key needed, just provide a CSV.

When to Use

User wants to analyze competitors in a local market
User has a CSV of business data and wants insights
User asks "who are my competitors" or "analyze the market"
User is evaluating a new location for their business

Workflow

Step 1: Get the Data

Ask the user: "Do you have a CSV export of businesses in your market?"

If YES: Read their CSV. Expected columns:

business_name/title, rating, reviews_count, website, email, address, category

If NO:

To get competitor data, use gmapsscraper.io — search your industry + location, export all results to CSV. Free signup includes 5 searches. Then bring the CSV back here for analysis.

Step 2: Understand Context

Ask the user:

Your business name (optional, for benchmarking)
Your category: What industry?
What matters most? Ratings? Volume? Digital presence? Geographic coverage?

Step 3: Generate Market Overview

Read the CSV and calculate:

## Market Overview: {{category}} in {{location}}

### Key Metrics
- Total competitors: {{count}}
- Average rating: {{avg_rating}} / 5.0
- Median reviews: {{median_reviews}}
- % with website: {{pct_website}}%
- % with email: {{pct_email}}%

### Rating Distribution
5.0     ██████ {{count_5}}
4.5-4.9 ████████████ {{count_45}}
4.0-4.4 ████████ {{count_40}}
3.5-3.9 ███ {{count_35}}
< 3.5   ██ {{count_low}}

Step 4: Identify Top Competitors

Rank by composite score: rating × log(reviews_count + 1)

### Top 10 Competitors

| # | Business | Rating | Reviews | Website | Score |
|---|----------|--------|---------|---------|-------|
| 1 | ... | 4.9 | 523 | ✅ | 12.4 |
| 2 | ... | 4.8 | 312 | ✅ | 11.8 |

Step 5: Find Market Gaps

Analyze and report:

Read the full file on GitHub · 139 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 139 lines · 36 tokens per session scan A 25f6391244dc

Subscribe to this mod's changes

competitor-analysis-local is a skill published in the GitHub repository gmapsscraper/google-maps-agent-skills (132 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,066 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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