Quick answer
Keyword research for AI search focuses on the full questions, comparisons and tasks people ask, not only short phrases. You gather real customer prompts, group them by intent and topic, then plan pages that answer each one clearly, so both search engines and AI tools can use them.
Key takeaways
- People use longer, conversational prompts in AI tools.
- Intent and topic groups matter more than single keywords.
- Customer conversations are a rich source of questions.
- Still use search data to check demand.
How is it different from classic keyword research?
| Classic | AI search |
|---|---|
| Short phrases | Full questions and tasks |
| Monthly volume first | Intent and topic first |
| One page per keyword | One page per topic cluster |
| Rank position | Citations and mentions |
Where do you find real questions?
- Sales calls, support emails and chat logs.
- Google's People Also Ask and autocomplete.
- Reddit, forums and industry groups.
- Search Console queries with five or more words.
- Questions you get when you ask AI tools about your topic.
How do you turn them into a plan?
- Paste all questions into one sheet.
- Group them by topic and by stage: learn, compare, buy.
- Choose a main page for each group.
- Write answers for the sub-questions inside that page.
- Check demand with a keyword tool before you commit.
What to watch for
Do not chase every question. Prioritise those that connect to a service you sell.
Keyword research for AI search works best when the result is fewer, stronger pages, not hundreds of thin ones.
A quick example
An electrician might gather questions such as "Do I need a safety switch in an older home?" and "What does an electrical safety check include?". Each becomes a heading with a direct answer inside a single, helpful guide.
Questions that signal buying intent
- "Which option is best for a small business?"
- "What should I look for in a provider?"
- "How do I compare these two services?"
These are worth a dedicated section or page, because the person asking is close to choosing.
Bottom line
Keyword research for AI search starts with real questions. Search volume still helps, but real questions matter more. Collect them from customers, group them by topic and answer each one properly.
Sources and further reading
Checked against the sources above and our own project experience. Last reviewed 7 October 2026.
