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Semrush Tool

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garrettjsmith
semrush-tool

When the user wants keyword research with search volume, competitive keyword analysis, site audit data, position tracking, or competitor organic analysis. Trigger on "keyword research," "search volume," "keyword difficulty," "what keywords do they rank for," "site audit," "Semrush," or "competitive analysis." Use Semrush for keyword data and competitive intelligence — use Ahrefs for backlink-focused analysis.

Overview

Publishergarrettjsmith
Repositorylocalseoskills
Skill namesemrush-tool
Stars
140
Forks
27
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by garrettjsmith on GitHub. Read the source before you install it.

Installation

Install the Semrush Tool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/garrettjsmith/localseoskills/tree/main/skills/semrush-tool
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git /tmp/localseoskills
mkdir -p .claude/skills
cp -r /tmp/localseoskills/skills/semrush-tool .claude/skills/semrush-tool
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Semrush Tool in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Semrush Tool on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Semrush Tool is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Semrush Tool

Note: LocalSEOData (localseodata-tool) now covers keyword suggestions, search volume, keyword trends, and keyword opportunities. Use LocalSEOData as default. Semrush remains the stronger choice for advanced keyword gap analysis, Keyword Magic Tool, and combined keyword + site audit workflows.

Semrush has an official MCP server. When connected, use it for keyword research, competitive organic analysis, and technical site audits. This is your primary keyword intelligence tool.

When to Use Semrush vs Other Tools

You NeedUse SemrushUse Instead
Keyword search volume for local terms✅ Best for this—
Keyword difficulty scores✅Ahrefs (different scale, both valid)
What keywords a competitor ranks for✅ Best for this—
Keyword gap (you vs competitor)✅ Best for this—
Backlink analysis⚠️ Decent but not bestAhrefs (larger index)
Link intersect / link gap⚠️ Can do itAhrefs (preferred for links)
Technical site audit✅ Good crawlerScreaming Frog (more detailed)
Position tracking by location✅Local Falcon (geogrid is better for local)
Citation management❌BrightLocal, Whitespark
Live SERP snapshot❌SerpAPI
Geogrid rankings❌Local Falcon

Core Workflows

Local Keyword Research

When: User needs to find keywords to target with volume and difficulty data.

What to pull:

  1. Keyword Overview: Volume, KD, CPC, SERP features for target keywords
  2. Keyword Magic Tool: Related keywords from a seed term (e.g., "plumber buffalo" → generates hundreds of variations)
  3. Keyword Gap: Compare user's domain vs 2-3 competitors to find keywords competitors rank for that user doesn't

How to interpret for local:

  • Volume under 100/mo is common for local keywords — that's normal and still valuable
  • KD under 40 for local service keywords is achievable
  • CPC above $5 means high commercial intent — prioritize these
  • Look for keyword clusters: same service, different locations (e.g., "dentist Orchard Park," "dentist Hamburg," "dentist West Seneca")

What to do with the data:

  • Group keywords by service category
  • Map keywords to existing or needed pages
  • Identify gaps where competitors rank but you don't
  • Feed into local-keyword-research skill for full keyword strategy
  • Feed into local-landing-pages skill for page creation

Competitor Organic Analysis

When: User wants to know what keywords competitors rank for or how they compare.

What to pull:

  1. Domain Overview: Total organic keywords, traffic estimate, top keywords
  2. Organic Research: All keywords a competitor ranks for with positions
  3. Keyword Gap: Side-by-side comparison showing where competitor ranks and you don't

What to look for:

  • Keywords where competitor ranks top 10 and you rank 11-20 (quick wins — you're close)
  • Keywords where competitor ranks and you don't rank at all (content gaps)
  • Keywords where you rank higher than competitor (protect these)
  • Competitor's top traffic-driving keywords (understand their strategy)

Technical Site Audit

When: User needs a crawl of their website for technical issues.

What Semrush's audit catches:

  • Broken links (internal and external)
  • Missing/duplicate title tags and meta descriptions
  • Slow pages
  • Redirect chains
  • Missing schema markup
  • Crawlability issues
  • HTTPS issues

For local specifically, check:

  • Location page titles: unique per location?
  • Location page meta descriptions: unique per location?
  • Internal linking to location pages
  • Schema presence on location pages
  • Canonical tags on similar location pages

When to use Screaming Frog instead: If you need custom extraction (NAP data, specific schema fields) or the site has 1000+ location pages, Screaming Frog gives more control.

Position Tracking

When: User wants to track keyword rankings over time at a specific location.

  • Set location to city/ZIP level
  • Track target keywords weekly
  • Compare against competitors in the same tracker

When to use Local Falcon instead: For local businesses, geogrid ranking (Local Falcon) is more meaningful than point-based position tracking (Semrush) because rankings vary by searcher location. Use Semrush position tracking for organic rankings, Local Falcon for map pack rankings.

Key Data Points and What They Mean

MetricWhat It IsWhat It Means for Local SEO
Search VolumeMonthly searchesUnder 100 is normal for local — still valuable if intent is high
Keyword Difficulty (KD)How hard to rank organicallyUnder 40 = achievable for local businesses with good content
CPCCost per click in Google AdsHigh CPC = high commercial intent = priority keyword
Competitive DensityHow many advertisers bid on this keywordHigh density = proven money keyword
SERP FeaturesWhat appears in results (local pack, ads, PAA, etc.)Local pack present = GBP optimization matters for this keyword
TrafficEstimated monthly organic visitsRelative metric — compare competitors to each other

What to Do Next

What You FoundNext ActionSkill
Keywords identified with volume dataMap keywords to pages and build contentlocal-landing-pages
Keyword gaps vs competitorsPrioritize gaps by volume × intent and create pageslocal-keyword-research
Competitor ranking for keywords you're notAnalyze if it's a content gap or authority gaplocal-competitor-analysis
Technical issues from site auditFix critical issues first (broken links, missing titles)local-seo-audit
High-CPC keywords worth running ads forSet up PPC campaignslocal-ppc-ads
Keywords with local pack in SERPOptimize GBP for those keywordsgbp-optimization

Default next step: Keyword data without a page plan is just a spreadsheet. Always map keywords → pages → publish → measure.

Frequently asked questions

What does the Semrush Tool AI skill do?

When the user wants keyword research with search volume, competitive keyword analysis, site audit data, position tracking, or competitor organic analysis. Trigger on "keyword research," "search volume," "keyword difficulty," "what keywords do they rank for," "site audit," "Semrush," or "competitive analysis." Use Semrush for keyword data and competitive intelligence — use Ahrefs for backlink-focused analysis.

Why use Semrush Tool on TypingMind?

Because you install it once and use it with any model. Semrush Tool is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Semrush Tool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/garrettjsmith/localseoskills/tree/main/skills/semrush-tool. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Semrush Tool?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Semrush Tool?

As many as you like. As long as a model supports skills, you can use Semrush Tool with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Semrush Tool AI skill free?

Yes. It is published on GitHub by garrettjsmith under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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