Keyword research is the process of finding and analyzing keywords — words or phrases that people use to search online and look for information. It’s a process that’s quite important if you want to rank your content and generate organic traffic.
But if you’ve ever done the keyword research process, you know how tedious and time-consuming it can get. AI solves this!
AI can analyze thousands of keywords in a few seconds, generate comprehensive reports, and help complete your keyword research end-to-end. The trick is to know how to use AI for keyword research.
In this article, I’ll discuss the process of using AI for keyword research, which free and paid tools to use, and the exact AI keyword research prompts I use.
Let’s dive right in.
How to Use AI for Keyword Research
You can use AI for multiple steps of the keyword research process, including generating seed keywords, analyzing keyword data, or even finding what keywords your competitors are ranking for.
Compared to using traditional keyword research tools, using AI gives faster, more comprehensive, and potentially effortless results. Let’s look at all the ways you can use AI to simplify keyword research.
Instantly generate keyword ideas
Every keyword research process starts with a bunch of seed keywords — broad words that are related to your product or business. But brainstorming new seed keywords every time is somewhat difficult.
You can take care of that with AI. Simply describe your business and ask AI to generate a list of keywords to use. Writesonic’s Free Keyword Generator is a great tool for this.
Copy the below prompt, fill in the required details, and click on Generate Keywords.
Prompt: We run a [category] business and want to create SEO-optimized content. We sell [products/services]. Our target audience is [country/age/type]. Generate a list of seed keywords relevant to this audience.
You’ll get a list of keywords that are popular and also relevant to your business.
You can also use ChatGPT for the same. Run the above prompt through ChatGPT, and you’ll get a list of seed keywords you can use later.
The downside of these tools is they don’t give any insights into the keywords i.e. their search volume, keyword difficulty, or user intent — necessary data for further keyword research.
That’s why I’ll be using other AI keyword research tools to get better, more valuable results in the next steps.
Collect keyword data at scale
Once you have a list of seed keywords, the next step is to gather data on them—things like search volume, keyword difficulty, CPC, and user intent. This helps you understand which keywords are actually worth targeting.
AI makes this process effortless. Instead of manually checking each keyword in a research tool, you can use SEO AI agents like Chatsonic to analyze thousands of keywords at once.
Sign up to Chatsonic’s free trial. Copy paste the list of keywords you generated in the first step in the below prompt and run it through Chatsonic.
Prompt: “Analyze these keywords: [list of keywords]. Provide search volume, keyword difficulty, and CPC insights. Highlight the best opportunities for ranking.”

Once you click the Send Arrow, Chatsonic connects with the necessary keyword research tools like Ahrefs and Semrush, runs the listed keywords through the tools, and creates a detailed report with the metrics you asked for.
You can also see how exactly it fetches these metrics (and verify if it’s data-backed) by clicking on the arrows in the Research tab.
💡Pro Tip:
You can refine the AI prompt to include additional metrics like SERP features (e.g., featured snippets, people also ask), seasonality trends, and location-based volume to uncover even more ranking opportunities. For more useful AI prompts, click here.
Filter out keywords that are easy to rank
Now that you have a list of keywords with detailed metrics, the next step is to filter out the ones that are easiest to rank for.
AI simplifies this process by quickly sorting keywords based on difficulty, competition, and search intent. Instead of manually analyzing each keyword, you can use Chatsonic to automatically highlight the ones with the best ranking potential.
Copy and paste your keyword list into the following prompt:
Prompt: “From this list of keywords: [list of keywords], filter out those with low keyword difficulty (KD < 30) and moderate to high search volume. Prioritize keywords with informational or commercial intent.”
Or, if you’ve already used Chatsonic to analyze keywords, paste this prompt in the same conversation (just like you use ChatGPT).
It will instantly return a refined list of keywords that are both relevant and easier to rank for.
Find keywords your competitors rank for
Another smart way to discover high-performing keywords is by analyzing what your competitors are already ranking for. Instead of starting from scratch, you can leverage their keyword strategy to identify opportunities you might have missed.
Use the below prompt and ask Chatsonic to extract this data instantly. Just enter your competitor’s domain into the following prompt:
Prompt: “Perform competitor analysis on [competitor website] and check which keywords they rank for.”

Once you run this, Chatsonic will generate a comprehensive list of competitor keywords along with essential metrics. This helps you:
- Identify high-traffic keywords that bring visitors to your competitor’s site.
- Spot ranking gaps — keywords your competitors rank for but you don’t (yet).
- Find low-competition opportunities where you can outrank them with optimized content.
Generate keyword clusters specific to your domain
Now that you have a refined list of keywords, the next step is to organize them into keyword clusters—groups of related keywords that help structure your content strategy. Instead of targeting individual keywords, clustering allows you to rank for multiple search queries with a single page, improving your SEO performance and topical relevance.
Run the below prompt through Chatsonic, and the AI agent will categorize your keywords into meaningful topic clusters and suggest how to structure your content around them.
Prompt: “From this list of keywords: [list of keywords], generate keyword clusters based on semantic relevance. Group keywords by search intent (informational, commercial, transactional) and suggest content types for each cluster (blog posts, landing pages, product pages, etc.).”
💡Remember:
Don’t over-cluster! If a group has too many unrelated keywords, split it into smaller, more focused clusters.
Identify semantic keywords quickly
Beyond primary keywords, semantic keywords — also known as LSI (Latent Semantic Indexing) keywords — help search engines understand content relevance. These are related terms, synonyms, and contextually relevant phrases that strengthen your SEO strategy.
AI tools can extract semantic keywords instantly. Run this prompt through Chatsonic:
Prompt: “From this list of keywords: [list of keywords], generate semantic keyword variations and LSI terms. Categorize them by relevance and suggest content placement (headings, subheadings, body text, FAQs).”
The AI agent generates a list of secondary and LSI keywords. Seamlessly integrate them into headings, alt text, and meta descriptions for better search visibility.
This helps in two ways:
- Enhances topical authority: Search engines recognize your content as comprehensive.
- Improves ranking opportunities: You target multiple variations of a search query.
Identify new and trending keywords
Identifying high-potential keywords means spotting trends before they become mainstream. AI can help you uncover emerging search queries that competitors haven’t optimized for yet.
Run this prompt through Chatsonic:
Prompt: “Identify trending keywords in [industry/niche] that have shown recent growth but have low competition. Prioritize emerging topics and seasonally relevant queries.”
For further validation, check Google Trends to see if a keyword is consistently growing or just a short-lived spike. Social platforms like X, Reddit, and Quora are also great for finding hidden opportunities before they appear in search tools.
Use this prompt to check social media for new discussions related to your industry:
Prompt: “Analyze recent discussions on Twitter, Reddit, and Quora about [topic]. Extract keywords that are frequently mentioned but not yet widely covered in search results.”
Analyze search intent and build keyword strategies
Understanding search intent is crucial for choosing the right keywords and crafting content that ranks. AI can help analyze whether a keyword is informational, navigational, commercial, or transactional—so you can align your strategy accordingly.
Run this prompt through Chatsonic:
Prompt: “Analyze the search intent of these keywords: [list of keywords]. Categorize them as informational, commercial, transactional, or navigational. Suggest content formats for each.”
Once AI categorizes your keywords, you can build an intent-driven strategy:
- Informational → Blog posts, guides, FAQs
- Commercial → Comparison articles, product roundups
- Transactional → Landing pages, product descriptions
- Navigational → Brand-specific content, site structure optimization
💡Remember
Intent matters more than search volume. A lower-volume keyword with the right intent can drive better conversions than a high-volume, misaligned one.
Conclusion: 8 Ways to Use AI for Keyword Research [+Tools & Prompts]
With search trends changing and AI-based tools making more space in SEO, using AI for keyword research is almost unavoidable now. However, the key is to know how to use it in the right way so you get the best results in minimal time.
AI agents like Chatsonic are built for keyword research and help you make the most out of AI and keyword research tools. Chatsonic is useful for everything keyword research, right from generating seed keywords to analyzing competitor websites.
It’s connected to the necessary tools like Ahrefs and Semrush, making it an all-in-one AI agent not just for keyword research but for the complete SEO process.
The best part? You can try it for free! Accelerate your keyword research process today. Use AI for keyword research.