• DATA
  • STRATEGY
  • GAP
  • HUMAN

How to map competitor keyword patterns with your AI

Connect the N-Gram Frequency Engine to your AI client, then feed it competitor content to see exactly which phrases they are betting on.

Ask AI about this page

Short answer

How can I find my competitors' keyword patterns using AI?

Your AI uses the N-Gram Frequency Engine to pull exact phrase frequencies from long-form competitor articles. This reveals the specific word clusters and semantic patterns they use to rank. You get a clear map of their SEO focus.

The results you get.

SEO strategy intelligence.

The AI turns raw text into structured keyword data.

DATA

Phrase frequency maps

The AI identifies recurring n-grams from the text. You get a list of the most common multi-word phrases they use.

STRATEGY

Keyword cluster identification

Your agent groups these phrases into logical topics. This shows you the semantic themes driving their organic traffic.

GAP

Content opportunity gaps

By comparing their patterns to your own, the AI highlights topics they own that you haven't touched yet.

HUMAN

Editorial direction

You take the identified patterns and decide which ones are worth targeting in your own content plan.

The workflow

What your AI does when the text arrives.

The AI handles the linguistic analysis so you can focus on the strategy.

  1. Extract phrases

    The AI scans the competitor's long-form articles to find repeating sequences of words.

    extract_ngram_frequencies
  2. Calculate density

    It counts how often specific n-grams appear relative to the total word count.

    extract_ngram_frequencies
  3. Identify clusters

    Your agent organizes the high-frequency phrases into meaningful topical groups.

    extract_ngram_frequencies
  4. Compare patterns

    The AI looks for the delta between these patterns and your existing content library.

    extract_ngram_frequencies

Try it

Copy these to start.

Use these prompts once you have connected the N-Gram Frequency Engine.

Starting points

Replace the bracketed text with your specific URLs or document names.

natural Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9T1etKMahiW8NnGArHZFRlQgidDXjNxOPOUMepVx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — natural capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "n-gram-frequency-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9T1etKMahiW8NnGArHZFRlQgidDXjNxOPOUMepVx/mcp"
    }
  }
}
Copy into chat04
  • Extract the top 20 three-word phrases from this competitor article: [URL]

  • Analyze the phrase frequencies in [Document Name] and tell me their primary SEO topics.

  • Compare the n-gram patterns in [URL] against my current content list to find gaps.

  • Show me the most frequent two-word sequences in this text: [Paste Text]

  • Claude
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  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
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Start here

Connect N-Gram Frequency Engine once, then ask.

One click connects this MCP to your preferred client. Your credentials stay encrypted and the setup is handled on our end.

Connect N-Gram Frequency Engine to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically publish these keywords to my CMS?

    No. The AI only extracts and analyzes the frequency data. You must manually move those insights into your CMS or content planner.

  • 02

    Does the AI rewrite the competitor's content?

    No. It only reads the text to count phrase frequencies. It does not modify or generate new versions of the source material.

  • 03

    Can I use this on live websites?

    Yes, as long as you provide the URL or the text for the AI to process through the engine.

  • 04

    Will the AI tell me which specific keywords have the highest search volume?

    No. This tool identifies what the competitor is actually using in their text, not what the global search volume is for those terms.

  • 05

    Can the AI identify the exact intent behind a phrase?

    The AI can suggest the likely intent based on the patterns it finds, but the final interpretation is up to you.

  • More questions about N-Gram Frequency Engine? The Connector page answers them. See everything the N-Gram Frequency Engine Connector can do

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