Keyword research
Grok keyword research: use X search to find what people ask
Grok’s edge for keyword research is live X data. Here is a six-step process that uses it, and the one step where you must not trust it.
The short answer
Use Grok to find keywords: real questions from X and the web, in people’s own words. Use Search Console or a keyword tool to size them. Never plan a page on a search volume that a chat model gave you without a source.
What Grok is good and bad at
| Good at | Bad at |
|---|---|
| Finding fresh questions on X, often before keyword tools show them | Exact monthly search volumes |
| Showing the words your audience uses | Keyword difficulty scores |
| Grouping questions by intent | Knowing what your site already ranks for |
| Spotting rising topics in your niche | Long-tail queries with very little social discussion |
The six-step process
1. Start with seeds
Write down 5 to 10 seed terms: your product category, the problem you solve, and the words customers use.
2. Mine X for questions
This is where Grok beats most tools. Ask it to search X for real posts:
Search X for posts from the last 30 days about [seed term]. List the 15 questions and complaints that come up most. Quote one short example post with a link for each. Do not invent posts.3. Expand with the web
For each question above, search the web and list the related questions people ask (from forums, Q&A sites and “People also ask” style results). Keep the searcher’s wording.4. Cluster by intent
One page should answer one intent. Ask Grok to group the list so that queries with the same answer share a page. The clustering prompt is in the prompt library.
5. Check the numbers
This step is not optional. For each cluster, check:
- Search Console: do you already get impressions for any of these queries? Those are your fastest wins.
- A keyword tool: real volume and difficulty. Drop clusters with no demand, unless they are close to a sale.
- The results page: search the main query. If the top results are all huge brands, pick a more specific query.
The invented-number trap
Ask any chat model for “monthly search volume” and you may get exact-looking numbers. Without a data source, they are guesses. Ask “where does this number come from?” before you use it.
6. Map clusters to pages
For each cluster you keep, decide: a new page, or an update to a page you already have. Updating a page that already gets impressions is usually faster than starting from zero.
Run it every week with a Grok Bot
Questions on X change every week. A Grok Bot can run steps 2 to 5 on a schedule: scan X on Friday, check the ideas against real data, and add the winners to your content plan. The routine text is in Grok Bot SEO routines.
For the data step, the Bot needs a source. SEOAgent gives it keyword volume and difficulty plus your Search Console data through its CLI. Setup takes about a minute with the Grok Bot SEO setup guide.
Frequently asked questions
Can you use Grok for keyword research?
Yes, for the discovery part. Grok can search X and the web in real time, so it is good at finding the questions and words people use right now. It is not a keyword database, so check volume and difficulty with Search Console or a keyword tool before you plan pages.
Is Grok better than Google Keyword Planner?
They do different jobs. Keyword Planner gives volume ranges from Google’s data. Grok finds new questions and the exact words people use, often before they show up in keyword tools. Use Grok to find ideas and a keyword tool to size them.
Why does X data matter for SEO?
People ask questions on X before they search for them in volume. X also shows the words your audience uses, which helps you write titles that match how they search. And Grok’s own answers draw on X, so topics discussed there can show up in AI answers.
Can a Grok Bot do keyword research every week?
Yes. A Grok Bot can run an X question scan on a schedule, check the results against real keyword data through an SEO tool, and add the winners to your content plan.