40+ ChatGPT Prompts for SEO Keyword Research (Copy-Paste Ready)

TL;DR: ChatGPT can’t tell you search volume, difficulty, or what ranks today, so it isn’t a keyword tool. What it does better than any keyword tool is the part before the data: angles, audience pain points, clustering a 300-term list, long-tail variations. The 43 prompts below are organised by task, and every one of them assumes you validate the output in Semrush, Ahrefs or Search Console before you write anything.

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I’ve tested well over 500 SEO and AI tools over 15 years. Most of them promise to replace existing workflows. Most of them don’t.

ChatGPT is one of the few that earned a place, and not for the reason it gets sold on. Its difficulty scores are guesses and any SEO telling you otherwise is selling something. What it does do is take a seed keyword and produce 50 angles, audience segments and pain points in under 30 seconds, which is the one part of keyword research that no database can do for you because the database only knows what people have already typed.

The prompts below came out of answering the same question from my community for two years. The video walks the same ground if you would rather watch it.

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Why Use ChatGPT for SEO Keyword Research?

Traditional keyword tools are good at one thing: showing you data on keywords people already search for. They pull from existing databases, show search volume, and estimate difficulty based on backlink profiles.

What they can’t do is think creatively about your topic.

Take a B2B product in restaurant supply chains. Semrush hands you “restaurant supply chain software,” “food distribution management,” and a dozen near-identical terms. All high competition, most with volume too low to measure on a new domain. That’s not a keyword list, it’s the same keyword list every competitor in the category already exported.

Run the same seed through the audience pain point prompt (#9 below) and you get a different kind of output: spoilage tracking across multiple locations, compliance reporting for health inspectors, supplier invoice reconciliation. Those are problems, not keywords, which is exactly why no keyword database surfaced them. Prompt 10 turns them into queries. The tool tells you what is already searched; this tells you what the buyer is actually stuck on.

This is what ChatGPT adds to keyword research. The data validation still happens in Semrush and GSC. But the ideation layer, the one that most SEOs skip because it’s slow, gets compressed from hours to minutes.

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ChatGPT Limitations You Need to Know First

Before you run 40 prompts and build a content calendar around the results, understand what ChatGPT can’t do.

No live search data. ChatGPT’s training data has a cutoff date. It doesn’t know what people searched for last week or last month. Trending topics, seasonal shifts, and new product categories may be missing or outdated.

Search volume estimates are unreliable. When you ask ChatGPT to estimate search volume, treat those numbers as rough indicators, not facts. They’re based on patterns in training data, not actual search API data. Always cross-reference with Google Keyword Planner, Semrush, or Ahrefs.

Text only. ChatGPT can’t crawl competitor websites, analyze SERP layouts, or pull backlink data. It works only with the text you give it.

No authority or ranking data. Keyword difficulty scores from ChatGPT are guesses. A keyword might look easy to rank for based on ChatGPT’s reasoning but be dominated by powerful domains in practice. Use a real keyword tool for this.

The 40+ ChatGPT Prompts for SEO Keyword Research

I have organized these prompts into 13 categories. Work through them in order, or jump to the category that matches your current need.

For every prompt, replace the [bracket] placeholders with your actual keyword or topic. I use “web hosting” as the example throughout, the same keyword I used in my video walkthrough.

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Category 1: Idea Generation and Expansion

These five prompts are your starting point. Use them when you have a seed keyword and need to expand it into a research-ready list.

Prompt 1: Generate Keyword Ideas from Your Topic

The prompt:

Generate keyword ideas based on [keyword]

What it does: This is the most basic use of ChatGPT for keyword research, but it works. Feed it a seed keyword and it returns a broad list of related terms you can feed into your keyword tool for data analysis.

Example: “Generate keyword ideas based on web hosting” returns terms like “best web hosting for beginners,” “cheap web hosting plans,” “web hosting comparison,” and “managed WordPress hosting.” Many of these will have real search volume. Use this as your first pass before opening Semrush or Ahrefs.

Pro tip: Run this prompt multiple times. ChatGPT generates slightly different results each time, which means you can run it 3-4 times and merge the outputs for a larger initial pool.

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Prompt 2: Generate Sub-Topics for Your Main Keyword

The prompt:

Generate list of sub-topics related to [keyword]

What it does: Instead of keyword variations, this prompt generates topic areas within your niche. This is your topic cluster mapping tool.

Example: For “web hosting” it returns sub-topics like shared hosting, VPS hosting, cloud hosting, WordPress hosting, email hosting, reseller hosting, and managed hosting. Each of these becomes a potential pillar or cluster article.

When to use this: Early in the planning stage when you’re building out your site architecture or content calendar. Run this before you do individual keyword research, so you know which topic clusters to target.

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Prompt 3: Find Technical Terms in Your Industry

The prompt:

Generate list of technical terms related to [keyword]

What it does: Every industry has specialized vocabulary that regular keyword tools often miss. This prompt surfaces those terms.

Example: For “web hosting,” ChatGPT returns terms like DNS propagation, IOPS, bandwidth throttling, server uptime SLA, SFTP access, cPanel, WHM, Nginx, LiteSpeed, and PHP version management. These become technical SEO content opportunities and vocabulary to include in existing articles for topical depth.

Why this matters for SEO: Technical terms signal expertise to Google and help you rank for lower-competition, higher-intent queries that specialists use when searching.

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Prompt 4: Find Alternative Terms for Your Keyword

The prompt:

Generate list of alternative terms for [keyword]

What it does: Finds synonyms and alternative phrasings, not just related terms. Useful for capturing searchers who use different words for the same concept.

Example: For “web hosting,” alternatives include “website hosting,” “site hosting,” “web server,” “hosting provider,” “hosting service,” and “website server.” Each of these represents a slightly different search intent worth investigating.

Note: This is different from Prompt 1. Ask for “keyword ideas” and you get topically related terms. Ask for “alternative terms” and you get different words for the same concept. Both have different SEO value.

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Prompt 5: Generate Popular Questions on Your Topic

The prompt:

Generate list of popular questions on [keyword]

What it does: Returns question-format queries your target audience is likely asking. These are natural long-tail keywords and are excellent for FAQ sections, People Also Ask targeting, and AI Overviews optimization.

Example: For “web hosting,” questions include “what is the difference between shared and VPS hosting,” “how much does web hosting cost per year,” “can I host multiple websites on one account,” and “what is the best web hosting for WordPress beginners.”

Bonus use: Every question is also a potential article or FAQ section. Run this prompt with 5-6 different seed keywords and you’ll have a full editorial calendar’s worth of topic ideas.

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Category 2: Audience and Intent Research

These prompts go beyond keyword lists. They help you understand who is searching and why, which is the layer most SEOs skip and the one that separates good content from great content.

Prompt 6: Identify Target Audience Segments with Use Cases

The prompt:

Guess various and different target audience for [keyword] topic with their usecase

What it does: Maps your keyword to specific audience segments with their distinct needs. This is where keyword research meets buyer persona work.

Example: For “web hosting,” ChatGPT identifies segments like: beginners launching their first blog (need simplicity and cheap price), small business owners (need reliability and support), developers (need SSH access and staging environments), agencies (need reseller accounts and client management), and ecommerce stores (need speed and SSL). Each segment has different keyword modifiers.

How to use the output: Take each audience segment and run Prompt 1 again, but specify the audience: “Generate keyword ideas based on web hosting for ecommerce stores.” You’ll get a completely different and more targeted list.

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Prompt 7: Suggest Related Keywords

The prompt:

Suggest related keywords to [keyword]

What it does: Generates semantically related terms, similar to Prompt 1 but with different results due to the different phrasing. Worth running both and comparing outputs.

Practical tip: Compare the output of Prompt 1 (“generate keyword ideas”) and Prompt 7 (“suggest related keywords”) side by side. ChatGPT does return different results for these two prompts. Combining both outputs gives you a broader seed list before you open your keyword research tool.

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Prompt 8: Generate LSI Keywords

The prompt:

Generate LSI keywords related to [keyword]

What it does: Latent Semantic Indexing (LSI) keywords are conceptually related terms that search engines use to understand the full context of a page. Including them in your content helps you rank for a range of related queries, not just your primary keyword.

Example: For “web hosting,” LSI keywords include domain registration, web server, site performance, uptime monitoring, content delivery network, SSL certificate, database management, and site backup.

Why this matters: An article about web hosting that also naturally includes CDN, SSL, uptime, and domain registration will likely outrank one that only uses the exact phrase “web hosting” repeatedly. This is about topical depth, not keyword stuffing.

Check out the Google Search Console keyword research guide to see how LSI fits into a broader strategy, using queries you already rank for rather than terms a model guessed.

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Prompt 9: Find Audience Pain Points

The prompt:

Suggest main problems faced on [keyword] topic

What it does: Returns the frustrations, fears, and challenges your target audience faces. These pain points are content gold.

Example: For “web hosting,” problems include: slow loading speeds causing high bounce rates, hidden renewal prices that triple after the first year, poor customer support response times, difficulty migrating existing sites, downtime during traffic spikes, and confusing control panel interfaces.

The keyword connection: Each pain point is a keyword seed. “Web hosting hidden fees,” “web hosting migration help,” “web hosting slow speed fix” are all real search queries driven by real frustrations. People search for solutions to their problems.

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Prompt 10: Convert Pain Points into Keywords

The prompt:

Convert the below listed problems into keyword ideas under topic [keyword]:

[paste your list of problems from Prompt 9 here]

What it does: This is a chained prompt, meaning you use the output of Prompt 9 as input for Prompt 10. ChatGPT takes your pain point list and turns each one into actionable keyword ideas.

This combination is powerful. Prompt 9 identifies what frustrates your audience. Prompt 10 turns those frustrations into the exact phrases people type into Google. No standard keyword tool generates this kind of intent-based keyword mapping.

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Category 3: Entity and Semantic Research

These prompts widen coverage around the keyword instead of repeating it, which is what topical authority actually measures.

Prompt 11: Suggest Entities Related to Your Keyword

The prompt:

Suggest entities related to [keyword]

What it does: Entities are the “things” (people, places, organizations, concepts) that are conceptually linked to your topic. Google uses entity relationships to understand content depth and topical authority.

Example: For “web hosting,” entities include: Cloudflare, cPanel, Apache, Nginx, AWS, Google Cloud, DigitalOcean, WordPress.org, ICANN, Namecheap, and GoDaddy. Covering these entities naturally in your content signals to Google that your article is genuinely comprehensive.

SEO application: When writing a pillar article on web hosting, mentioning and briefly explaining relevant entities (even if just to compare them or put them in context) increases topical authority more than repeating your primary keyword multiple times.

For more on topical authority and how entities work in practice, see my guide on how AI search engines work and what it means for your SEO.

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Prompt 12: Convert Singular Keywords to Plural (or Vice Versa)

The prompt:

Convert the below list of keywords from singular to plural keywords:

[paste your keyword list here]

What it does: Some searchers use singular form (“web host”), others use plural (“web hosts”). This prompt converts an entire list at once, saving you from manual editing.

When this matters: Keyword tools sometimes show separate data for singular and plural versions of the same term. Running your final list through this prompt before uploading to your tracking tool ensures you cover both variants.

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Prompt 13: Generate Keywords in Another Language

The prompt:

Generate list of [language] keywords on [keyword]

What it does: Generates keyword ideas in your target language. Useful for international SEO or content localization strategies.

Example: “Generate list of Spanish keywords on web hosting” returns Spanish-language terms targeting the same audience. Combined with Google Keyword Planner’s country filtering, this gives you a fast starting point for non-English markets.

Limitation: Verify these with a native speaker or a localized tool. ChatGPT generally performs well on major languages but can produce awkward phrasing in niche contexts.

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Category 4: Intent Filtering and Long-Tail Research

Prompt 14: Filter Keywords by Intent and Type

The prompt:

Generate list of [related / LSI / long-tail] keywords with [commercial / informational / transactional / navigational] intent about [keyword]

What it does: This is one of the most useful prompts in this guide because it lets you specify exactly what you want. You choose both the keyword type and the search intent.

Example combinations:

• “Generate list of long-tail keywords with commercial intent about web hosting” gives you buyer-focused terms for people close to purchasing.
• “Generate list of informational keywords with informational intent about web hosting” gives you how-to and educational content angles.
• “Generate list of related keywords with transactional intent about web hosting” targets people ready to buy.

Use this prompt for content strategy planning. Different pages target different intents. Use this to build out each intent layer of your site separately.

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Prompt 15: Generate Long-Tail Keyword Variations

The prompt:

Generate list of long-tail keywords about [keyword]

What it does: Long-tail keywords are typically 4+ word phrases with lower search volume but higher purchase intent and lower competition. If you’re on a new or low-authority domain, long-tail keywords are your fastest path to first-page rankings.

Example: For “web hosting,” long-tail results include “best web hosting for small business websites 2026,” “how to choose a web hosting provider for beginners,” “web hosting plans with free domain registration,” and “affordable managed WordPress hosting for bloggers.”

I covered long-tail keyword strategy in depth in my guide on how to find high-intent profitable long-tail keywords. Read that alongside this prompt for a complete approach.

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Prompt 16: Generate Local SEO Keywords

The prompt:

Generate list of [related / LSI / long-tail] keywords to [keyword] for target city [city name]

What it does: Generates geographically targeted keyword variations for local SEO campaigns.

Example: “Generate list of related keywords to web hosting for target city Mumbai” returns terms like “web hosting services Mumbai,” “Mumbai website hosting providers,” and “best web hosting company in Mumbai.”

Important: Local keyword volumes are often much lower than national terms. Always validate with Google Keyword Planner before building a local content strategy.

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Category 5: List Management and Cleanup

These prompts handle the administrative tasks of keyword research: cleaning lists, categorizing, and clustering. Tasks that take hours manually take seconds with ChatGPT.

Prompt 17: Remove Irrelevant Keywords from a List

The prompt:

Remove any keywords that are not related to [keyword] and provide list with valid keywords:

[paste your keyword list here]

What it does: When you pull a large keyword list from Semrush or Ahrefs, it often contains off-topic terms. This prompt cleans the list automatically.

Practical use: Export 200-500 keywords from your keyword tool, paste them into ChatGPT with this prompt, and get back a cleaned list relevant to your specific topic. This saves 30-60 minutes of manual review.

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Prompt 18: Categorize Keywords by Search Intent

The prompt:

Categorize the below keywords into categories (commercial, informational, transactional or navigational) based on their intent:

[paste your keyword list here]

What it does: Organizes a raw keyword list by search intent. This is essential for planning your content architecture because different intent types require different content formats and CTAs.

Output format: Ask ChatGPT to return results in a table (add “Return results in a table with columns: Keyword, Intent” to the prompt) and you get a clean reference you can copy directly into your content calendar.

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Prompt 19: Keyword Clustering

The prompt:

Keyword cluster the below provided list of keywords into relevant groups:

[paste your keyword list here]

What it does: Groups semantically similar keywords together so you can identify which terms to target on a single page versus which need separate articles.

Example: For a web hosting keyword list, ChatGPT might cluster these together: “shared hosting,” “shared web hosting,” “shared hosting plans,” and “cheapest shared hosting.” Those four keywords belong on one page. “VPS hosting” and its variations belong on a separate page.

This saves significant time compared to manual clustering. For a more powerful clustering approach using a dedicated tool, see my guide on Semrush Keyword Clusters and Keyword Manager.

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Category 6: Content and Research Extraction

Prompt 20: Extract Keywords from a Wikipedia Page

The prompt:

Extract the keywords used in this Wikipedia page on [keyword] and its URL [url]

What it does: Wikipedia articles are written by experts and cover a topic comprehensively. The vocabulary and terms used on a Wikipedia page are essentially a free topical authority map for your niche.

Example: Paste the URL for the Wikipedia article on web hosting and ask ChatGPT to extract the key terms. You’ll get a list of the topic’s core vocabulary, which you can use to ensure your own content covers the full semantic landscape.

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Prompt 21: Estimate Search Volume (Use with Caution)

The prompt:

Generate list of keywords with their estimated search volume for [keyword] topic

What it does: Returns keywords with rough volume estimates based on ChatGPT’s training data. Treat these as directional indicators only.

Important caveat: These numbers aren’t reliable. ChatGPT isn’t a keyword database. Use this prompt only to identify which terms are worth researching in a real keyword tool, not to make publishing decisions. Always cross-reference with Semrush, Ahrefs, or Google Keyword Planner.

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Prompt 22: Generate FAQ Questions

The prompt:

Generate FAQ questions on the topic [keyword]

What it does: Produces a list of frequently asked questions your content should answer. Each question is a potential FAQ schema opportunity and a People Also Ask (PAA) ranking target.

SEO application: Add a structured FAQ section to your article using these questions. Implement FAQ schema markup and you increase your chances of appearing in PAA boxes and AI Overviews.

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Prompt 23: Extract Keywords from Existing Content

The prompt:

Analyze the following text and extract target keywords from text on topic [keyword]:

[paste your article or competitor article here]

What it does: Useful for auditing your own content or analyzing competitor articles. Paste in any text and ChatGPT identifies the keyword themes being targeted.

Use for competitor analysis: Paste in a competitor’s top-ranking article and use this prompt to see which keywords and topics they’re covering. Compare against your own content to find gaps.

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Category 7: Localization and Multilingual Research

Prompt 24: Translate a Keyword List

The prompt:

Translate the following keywords from English to [target language]:

[paste your keyword list here]

What it does: Batch-translates your keyword list into another language. Useful when expanding content to international markets.

Limitation: Direct translation doesn’t always capture natural search behavior. A translated term might not be what local users actually type. Always validate with a native speaker and local keyword data.

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Prompt 25: Sentiment Analysis on Keywords

The prompt:

Perform sentiment analysis on below list of keywords and provide output in a table:

[paste your keyword list here]

What it does: Classifies keywords as positive, negative, or neutral in sentiment. Useful for understanding the emotional context of the queries you’re targeting.

Practical application: Negative sentiment keywords (“web hosting problems,” “web hosting scams,” “worst web hosting providers”) indicate frustrated searchers. These can be high-conversion opportunities if you address the frustration honestly, which is exactly the brand voice I use.

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Category 8: Competitive Analysis

Prompt 26: Map Top Competitors

The prompt:

Curate a table of top competitors for [keyword] and their URLs

What it does: Returns a list of websites likely competing for your target keyword. Use this as a starting point for competitor research in Semrush or Ahrefs.

Limitation: ChatGPT’s training data has a cutoff. The competitive landscape may have shifted. Use this output as a starting list and verify current rankings in a real SERP analysis tool.

For a proper competitor analysis workflow, my guide on Semrush Organic Research for competitor keyword stealing covers this in depth.

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Prompt 27: Extract Focus Keywords from URLs

The prompt:

Extract focus keywords from the below list of webpage URLs and return results in table:

[paste list of URLs here]

What it does: Analyzes a list of competitor URLs and identifies the likely target keyword for each page.

How to use this: Export the top-ranking pages from a competitor domain in Semrush, paste the URL list into ChatGPT with this prompt, and get a quick map of what each page is targeting. Faster than manually opening each page.

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Prompt 28: Find Relevant Communities and Publishers

The prompt:

Suggest popular blogs, forums and websites related to [keyword]

What it does: Identifies where your target audience gathers online. Useful for link building outreach, content distribution, and understanding the publishing landscape.

SEO application: These communities are also great sources for understanding the language your audience uses, which directly informs how you write your keyword-targeted content.

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Category 9: Commercial and Audience Targeting

Prompt 29: Generate Buyer-Intent Keywords

The prompt:

Generate keywords for the topic [keyword] containing words [best, top, review, alternative]

What it does: Generates commercial intent keywords using the modifier words that signal purchase intent. “Best,” “top,” “review,” and “alternative” are the four most common buyer-intent modifiers in SEO.

Example: For web hosting with the modifier “best,” you get: “best web hosting for small business,” “best cheap web hosting plans,” “best WordPress web hosting,” and “best web hosting for beginners.” These are the terms people use when they’re ready to choose a product.

For an example of this content type done properly, check my Morningscore review, which targets exactly this kind of buyer-intent query.

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Prompt 30: Audience-Specific Keyword Generation

The prompt:

Generate list of keywords for [keyword] for [audience] users

What it does: Generates keyword variations tailored to a specific audience segment you identified in Prompt 6.

Example: “Generate list of keywords for web hosting for ecommerce users” returns very different results than “Generate list of keywords for web hosting for bloggers.” Both are the same core topic but with completely different user needs and keyword modifiers.

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Category 10: Demographics and Search Intent

Prompt 31: Demographic Analysis of Searchers

The prompt:

My keyword is [keyword] can you please use creativity and guess various demographics with facts of searchers who search for it?

What it does: Builds a demographic profile of who searches for your keyword. Useful for both content strategy and understanding which long-tail modifiers will resonate with different segments.

Example: For “web hosting,” demographic segments include college students building their first portfolio, freelancers setting up client websites, small business owners migrating from Squarespace, and developers testing side projects. Each of these segments uses different search language and has different objections.

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Prompt 32: Search Intent Prediction

The prompt:

My keyword is [keyword], can you try to guess search intent?

What it does: Analyzes a specific keyword and predicts the most likely user intent behind it.

When to use: When you’re unsure whether a keyword is informational or commercial, this gives you a quick second opinion. Always verify by actually looking at the SERP for that keyword, since intent is ultimately determined by what Google already ranks there.

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Category 11: Structure and Synonyms

Prompt 33: Generate Keyword Synonyms

The prompt:

Can you provide list of synonyms based on [keyword]

What it does: Returns alternative words that mean the same thing as your keyword. Useful for avoiding unnatural keyword repetition in your content while still covering the semantic field.

Example: Synonyms for “web hosting” include “website hosting,” “web server,” “hosting service,” “website server,” and “online hosting.” Using these naturally throughout your content signals breadth of coverage to search engines.

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Prompt 34: Estimate CPC Values

The prompt:

Generate list of keywords with CPC value for [keyword] topic

What it does: Returns keywords with estimated cost-per-click values. High CPC keywords indicate commercial value, which is a useful proxy for content ROI even if you aren’t running paid ads.

Use this for prioritization: A keyword with estimated CPC of $8 is likely more commercially valuable than one with $0.50. Even as an organic content creator, targeting high-CPC keywords means you’re capturing the audience that advertisers pay most to reach.

Reminder: These CPC estimates aren’t reliable for budget planning. Use Google Keyword Planner or Semrush for actual CPC data before making any paid media decisions.

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Prompt 35: Generate Content Outline with H2/H3 Structure

The prompt:

Generate list of outline with H2 and H3 headings for keyword [keyword]

What it does: Creates a full article outline structured around your target keyword. The headings often function as long-tail keyword opportunities on their own.

Bonus value: The H3 headings generated here can become secondary target keywords. Searchers often use question-form queries that match exactly what well-structured subheadings look like.

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Category 12: Trending and Context Research

Prompt 36: Historical Context for Your Topic

The prompt:

Provide historical perspective for [keyword] topic

What it does: Gives you background on how your topic evolved over time. Useful for writing authoritative content that covers the full context, not just the current state.

Content application: A brief historical section in a pillar article signals depth and expertise. It also helps you cover entities and concepts that would only appear in a comprehensive resource.

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Prompt 37: Find Trending Keyword Ideas

The prompt:

Suggest trending keyword ideas for [keyword] topic

What it does: Attempts to identify emerging topics and trends within your niche. Because ChatGPT has a training cutoff, these are limited to trends that existed before that date.

How to supplement this: Use Google Trends and the Semrush Keyword Magic Tool to validate and find newer trends that ChatGPT can’t see.

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Prompt 38: Find Must-Include Words for On-Page Optimization

The prompt:

Suggest list of must include words when optimizing your blog post for [keyword] topic

What it does: Returns words and phrases that should appear in any comprehensive article on your topic. Think of it as a manual version of a content gap analysis.

Practical use: After writing your first draft, run this prompt and check your article against the output. If you’re missing key terms, add them naturally. This is a quick way to improve semantic coverage without a tool like Surfer SEO.

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Category 13: Advanced Filtering and Bulk Generation

Prompt 39: Remove Keywords Containing Specific Words

The prompt:

Remove keywords from following list which contain [word1] and [word2], show only valid keywords:

[paste your keyword list here]

What it does: Filters a keyword list by removing any terms that contain specific words you want to exclude.

Example use: You’re targeting “web hosting” but your keyword list has been contaminated with “free web hosting” and “web hosting discount” terms that don’t match your commercial tier. Run this prompt to strip those out: “Remove keywords from following list which contain ‘free’ and ‘discount’.”

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Prompt 40: Bulk Keyword Generation with Custom Parameters

The prompt:

Generate [count] [long tail / related / LSI] keywords for [keyword]

What it does: Generates a specific number of keywords of a specific type. Useful when you need a controlled output size.

Example: “Generate 50 long tail keywords for web hosting” gives you a predictable number of long-tail variations to review. Adjust the count and type based on your need.

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Three More Advanced Prompts Worth Using

Prompt 41: Keyword Gap Analysis via Competitor Comparison

The prompt:

I write about [keyword]. My competitors cover these topics: [list competitor topics or article titles]. What topics am I likely missing that I should cover to compete with them?

What it does: Uses competitor coverage to identify gaps in your own content strategy. Feed in competitor article titles or topic areas and ChatGPT will identify angles they cover that you don’t.

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Prompt 42: SERP Feature Targeting

The prompt:

For the keyword [keyword], suggest what type of content structure (list, how-to, definition, comparison table, FAQ) would most likely win a featured snippet or appear in AI Overviews?

What it does: Predicts the content format most likely to earn rich SERP features for your target keyword. While not always accurate, this is a useful thinking prompt for content planning.

For a deeper dive on how AI search features work and how to optimize for them, see my guide on how AI search engines work for SEO.

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Prompt 43: Seasonal Keyword Identification

The prompt:

What seasonal trends or time-sensitive search patterns exist for [keyword] topics? When do search volumes typically peak?

What it does: Identifies seasonal patterns for your keyword, useful for planning content calendar timing.

Important: Verify seasonal patterns with Google Trends before making publishing decisions. ChatGPT’s seasonal data may be outdated.

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How to Build a Complete ChatGPT Keyword Research Workflow

Running individual prompts is useful. Building a workflow is better.

Here’s the workflow I recommend, using these 43 prompts in sequence:

Stage 1: Discovery (30 minutes)

1. Run Prompt 1 (keyword ideas) and Prompt 2 (sub-topics) to map your niche
2. Run Prompt 6 (audience segments) to understand who you’re writing for
3. Run Prompt 9 (pain points) and Prompt 10 (convert to keywords) to build intent-based keywords

Stage 2: Expansion (20 minutes) 4. Run Prompt 3 (technical terms) and Prompt 8 (LSI keywords) to deepen your semantic coverage 5. Run Prompt 15 (long-tail keywords) and Prompt 29 (buyer intent keywords) to build your content tiers 6. Run Prompt 22 (FAQ questions) for featured snippet opportunities

Stage 3: Organization (15 minutes) 7. Combine all outputs into one master list 8. Run Prompt 18 (intent categorization) to sort by intent 9. Run Prompt 19 (keyword clustering) to group related terms

Stage 4: Validation (variable) 10. Import your clustered list into Semrush or Ahrefs 11. Filter by search volume (keep 50+/month for most niches), keyword difficulty (KD below 40 for newer domains), and search intent match 12. Cross-reference with Google Search Console to see what you already rank for

For that final validation step, my Google Search Console keyword research guide walks through exactly how to use GSC to prioritize your list.

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ChatGPT vs Dedicated SEO Tools: What Each Does Better

A question I get constantly: “Can I replace Semrush with ChatGPT?”

No. Here’s why, and here is why both are worth using.

The right approach is to use both. ChatGPT handles the creative and organizational tasks that slow down keyword research. Semrush and Ahrefs handle the data validation that ChatGPT can’t do.

For a full comparison of keyword research tools, my Semrush Keyword Overview guide and Semdash review cover the data side of keyword research.

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Can ChatGPT Do Keyword Research Without Other Tools?

Technically, yes. Practically, no.

You can generate keyword ideas, organize them, understand intent, and build a content strategy entirely inside ChatGPT. The output will be directionally useful.

But without search volume data, you can’t prioritize. You might spend three months writing 20 articles targeting keywords that nobody searches for. That’s a waste of time that proper keyword tool validation would have prevented in 20 minutes.

Use ChatGPT for the creative layer. Use a keyword tool for the data layer. The two complement each other perfectly.

For a free option to start the data validation side, my free SEO keyword research template gives you a structured process that works alongside both ChatGPT and any keyword tool.

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Frequently Asked Questions

Can ChatGPT replace dedicated keyword research tools?

No. ChatGPT can’t provide accurate search volume data, keyword difficulty scores, or live SERP analysis. It’s excellent for generating keyword ideas, organizing lists, and identifying audience pain points, but the data validation side requires a dedicated tool like Semrush, Ahrefs, or Google Keyword Planner. The most effective workflow uses both.

Are ChatGPT keyword research results accurate?

ChatGPT’s keyword ideas are directionally useful but not data-accurate. The terms it suggests are real SEO concepts, but whether they have meaningful search volume in your niche requires validation. Treat all ChatGPT keyword output as a brainstorm that needs fact-checking before you build a content strategy around it.

What is the best ChatGPT prompt for keyword research?

The most underused and highest-impact prompt is Prompt 9 combined with Prompt 10: identify audience pain points and then convert them to keyword ideas. Most keyword tools show you what people search for. This two-prompt combination shows you why they’re searching, which leads to higher-converting content.

Does ChatGPT have access to live search data?

No. ChatGPT doesn’t have access to live search data. It can’t see current search volumes, trending queries, or real-time SERP layouts. Its knowledge is based on training data with a cutoff date. For live keyword data, use Google Keyword Planner, Google Trends, or a dedicated SEO platform.

How do I use keyword clustering with ChatGPT?

Export your keyword list from your SEO tool, paste it into ChatGPT, and use Prompt 19: “Keyword cluster the below provided list of keywords into relevant groups.” ChatGPT will group semantically similar terms together, showing you which keywords belong on the same page versus which need separate content. Always review and adjust the clusters manually before finalizing your content plan.

How do I get better results from ChatGPT keyword prompts?

The most important technique is specificity. Instead of “generate keywords for web hosting,” try “generate 30 long-tail keywords with commercial intent for managed WordPress hosting targeted at small business owners.” The more context and constraints you add, the more targeted and useful the output. Also chain prompts: use the output of one prompt as the input for the next to build a progressive workflow.

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