In short
Keyword research by buying intent means prioritising searches by how close the searcher is to making a purchase, not just by search volume. Transactional and commercial investigation searches usually convert best. Start with your services and customer problems, expand with tools and real customer language, then group keywords by intent and page.
Many SEO strategies fail because they chase the wrong searches. A page can attract thousands of visitors and generate no business if those visitors were never looking to buy. Keyword research by buying intent fixes this by prioritising the searches most likely to turn into revenue.
Understand the four types of intent
| Intent | What the searcher wants | Example | Commercial value |
|---|---|---|---|
| Informational | To learn something | "what is lead scoring" | Low to medium, builds awareness |
| Navigational | To find a specific site | "hubspot login" | Low unless it is your brand |
| Commercial investigation | To compare options | "best CRM for small business" | High |
| Transactional | To act now | "B2B lead generation agency" | Highest |
A healthy strategy covers all four, but commercial and transactional terms deserve priority on your service pages.
Step 1: Start from your business, not a tool
List your services, the problems you solve and the outcomes customers want. Then write down how a customer would describe their need in their own words. Sales calls, support emails and reviews are excellent sources of real customer language.
Step 2: Expand with data
Use keyword tools to find variations, related terms and questions. Look at:
- Google's autocomplete and related searches
- The "People also ask" questions in search results
- Search terms reports in Google Ads, which show what people actually typed
- Search Console queries you already get impressions for
- Questions people ask in forums and communities
Step 3: Add modifiers that signal intent
Certain words are strong signals of buying intent:
- Service modifiers: agency, company, services, consultant
- Comparison modifiers: best, top, vs, alternative, review
- Action modifiers: hire, buy, quote, near me
- Qualifier modifiers: for small business, for B2B, for a specific industry
Step 4: Check what currently ranks
Search each priority keyword and look at the results. If they are all guides, the intent is informational and a service page will struggle. If they are all agency pages, a blog post will struggle. Match the format searchers expect.
Step 5: Group keywords by page
Rather than creating one page per keyword, group closely related keywords that share the same intent and assign each group to one page. This avoids pages competing with each other and builds stronger topical relevance.
Step 6: Prioritise
Score each group on three factors: commercial intent, realistic ranking difficulty and relevance to your most profitable services. Work on high-intent, achievable, profitable groups first.
Include conversational questions
AI assistants receive longer, more specific questions than traditional search engines. Add the full questions your buyers ask to your research, and answer them directly on your pages. This supports both SEO and generative engine optimisation.
Common mistakes
- Choosing keywords by volume alone
- Ignoring the search results format
- Targeting the same keyword on several pages
- Forgetting long-tail, specific searches that convert well
- Never revisiting research as the market changes
Done well, intent-led keyword research becomes the backbone of your content plan and your paid search campaigns. It is one of the first things we do in our SEO and AI Search Visibility work.
Frequently asked questions
What are the four types of search intent?
Informational (learning), navigational (finding a specific site), commercial investigation (comparing options) and transactional (ready to act). Commercial and transactional searches typically convert best.
Should I target high-volume keywords?
Only if they match buying intent and you can realistically compete. Lower-volume, specific keywords often bring fewer but far more qualified visitors.
How is keyword research changing with AI search?
People ask AI assistants longer, conversational questions. Research should now include the full questions buyers ask, not only short keyword phrases.