Mining Keywords and Search Intent — ChatGPT
AI is excellent at expanding a seed topic into keyword clusters and classifying search intent (informational, commercial, transactional, navigational).
The prompt
I run a site about [topic]. Generate 5 keyword clusters around it. For each cluster give: a pillar keyword, 5 supporting long-tail keywords, the dominant search intent (informational/commercial/transactional), and the content format that best matches that intent (guide, comparison, tool page, etc.). Return as a table.
What to replace
Swap these placeholders for your own details before running the prompt:
[topic]your own value
Pro tip: Always validate AI keyword ideas against real volume/difficulty data — AI knows language patterns, not your niche's live search volumes.
How to use this prompt
- Copy the prompt using the button above.
- Replace [topic] with your own details — the more specific you are, the better the output.
- Paste it into ChatGPT and run it.
- If the answer feels generic, add constraints: audience, length, tone, and what to avoid. That single change fixes most weak output.
Learn the technique
Mining Keywords and Search Intent
Module 1 — AI-Powered Keyword Research · AI SEO & Search Visibility
Related prompts
Mining Keywords and Search Intent — Perplexity
AI is excellent at expanding a seed topic into keyword clusters and classifying search intent (informational, commercial, transactional, navigational).
ClaudeCompetitor Content Gap Analysis
Paste a competitor's page structure (headings, topics covered) alongside yours and ask AI to find gaps — subtopics they cover that you don't, questions they answer, and angles they missed that you can own..
ChatGPTTitles, Metas & Headings That Rank
Generate title tag and meta description variants that include the target keyword naturally, fit character limits, and give a reason to click.
PerplexityGetting Cited by ChatGPT & Perplexity — Perplexity
AI answer engines favor content that is clearly structured, directly answers questions, cites data, and demonstrates first-hand expertise.
ClaudeGetting Cited by ChatGPT & Perplexity — Claude
AI answer engines favor content that is clearly structured, directly answers questions, cites data, and demonstrates first-hand expertise.
PerplexityCompetitor Positioning Snapshot
Competitive research with citations. Use this before a positioning workshop, a pricing review, or writing comparison copy — the table format makes it easy to spot where a rival is genuinely stronger versus where they are just louder. Always run it on a search-grounded model like Perplexity so every claim carries a source and a date you can verify.
Related across the site
AI SEO & Search Visibility
Use AI to do keyword research, optimize content for search, and get your brand cited by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews.
n8n and AI: Build Your First Real Automation
A practical walkthrough of wiring an AI model into an n8n workflow — the node structure, the prompt that makes it reliable, and three automations worth building first.
Tokenizer
A tokenizer is the component that splits text into tokens before a model processes it. Different model families use different tokenizers, which is why the same text can have different token counts on GPT versus Claude.
Getting Cited by ChatGPT & Perplexity — Claude
AI answer engines favor content that is clearly structured, directly answers questions, cites data, and demonstrates first-hand expertise.
Getting Cited by ChatGPT & Perplexity — Perplexity
AI answer engines favor content that is clearly structured, directly answers questions, cites data, and demonstrates first-hand expertise.
Mining Keywords and Search Intent — Perplexity
AI is excellent at expanding a seed topic into keyword clusters and classifying search intent (informational, commercial, transactional, navigational).