Key takeaway: Buyer vs research isn’t binary. It’s a judgment call about how close a searcher is to choosing a provider, and it’s the input that decides what article #2’s keyword map actually builds: buyer keywords point to service pages, research keywords usually point to blog posts, and getting the split wrong sends a ready-to-hire visitor to a blog post and a curious visitor into a hard sell.
Most keyword-intent advice comes from e-commerce and SaaS, and it shows. Terms like “demo,” “checkout,” “pricing tier,” and “free trial” don’t map cleanly onto a plumber, a dentist, or an emergency locksmith, and the four-stage funnel that framework leans on tends to assume a longer buying journey than most local searches actually have. Someone searching “emergency electrician Dhaka” isn’t in a multi-week evaluation cycle. They’re close to calling someone within the hour.
The Two Questions I Actually Ask
Question 1: Is the searcher ready to choose a provider? Usually obvious from the phrasing. “Hire an electrician,” “AC repair cost Dhaka,” “emergency locksmith near me” assume the searcher already knows they need a service. “How does a circuit breaker work,” “why do lights flicker,” “DIY vs professional wiring” assume the opposite.
Question 2: If not, how close are they to needing one anyway? This is where a local business’s version of this framework diverges from the generic model, and it’s the part worth paying attention to. Someone searching “why do lights flicker” might be five minutes from deciding to call an electrician once they realize it’s not a simple fix. That’s a research keyword with buying distance close behind it.
| Keyword | Bucket | Buying distance |
|---|---|---|
| emergency electrician Dhaka | Buyer | Immediate |
| pest control price | Buyer | Near |
| how much does an electrician cost | Buyer-adjacent | Near |
| why do lights flicker | Research | Medium |
| how does a circuit breaker work | Research | Farther |
Buying distance, not just the buyer/research label, is what should actually shape a page.
What Signals Matter
Buyer signals: cost, price, hire, book, quote, availability, “near me,” urgency words (“emergency,” “same day,” “24 hour”), and a service paired with a location, like “AC repair Dhaka” or “roof repair Sydney.”
Research signals: how, why, what, DIY, comparison phrasing (“vs,” “or”), and evaluation questions like “is it worth it” or “do I need a professional for this.”
Neither list is a guarantee on its own. “Electrician cost” reads like buyer intent, but someone could be searching it purely out of curiosity with no plan to hire anyone this month. The words are a starting hypothesis. The SERP is where you confirm it.
How I Validate Intent From the SERP
You don’t need a paid keyword tool for this, and for a lot of local businesses, a paid tool isn’t in the budget anyway. Search the keyword and check four things.
Ranking page types. Service pages and local business listings lean buyer. Guides, blog posts, and forum threads lean research.
Local pack and commercial results. If Google is surfacing the map pack and business listings for a keyword, that’s a strong local-buyer signal on its own, independent of the words in the query.
Ads. Paid ads showing above the organic results is a useful commercial-intent signal, since advertisers are betting the click is worth paying for. It isn’t proof that every searcher clicking that ad is ready to buy today, just that enough of them are to make the ad profitable. Treat it as one signal among several, not a verdict.
People Also Ask. The PAA box shows what uncertainty surrounds a query. Questions shaped like “is it worth calling a professional” or “how much should this cost” suggest the searcher is closer to a decision than questions shaped like “how does this work.” PAA doesn’t classify intent by itself, but it’s a useful read on how much the searcher still has left to figure out.
Three Queries, Three Reads
“Emergency electrician Dhaka” — the results lean heavily on service pages, the local pack, and business listings, with ads present. Buyer, immediate.
“Why do lights flicker” — the results lean toward educational guides and forum-style explanations, no local pack, no ads. Research, farther from a decision.
“How much does an electrician cost” — a mixed page, pricing guides sitting alongside service pages and some local listings. Buyer-adjacent: informational in shape, commercial underneath.
That third read is the one worth sitting with, because it’s where a keyword can look informational and still be close to buying.
How I’d Sort a Real Local Client’s Keywords
Take the Dhaka electrician from the keyword-mapping walkthrough. A few keywords from that list, sorted with the SERP checked rather than guessed:
| Keyword | Bucket | Why |
|---|---|---|
| emergency electrician Dhaka | Buyer | Urgency, service, location, local pack dominant |
| electrician cost | Buyer-adjacent | Pricing intent, but SERP shows a mix of guides and service pages |
| how much does an electrician cost | Buyer-adjacent | Reads like research, SERP confirms mixed commercial/informational intent |
| why do lights flicker | Research | Diagnostic question, no service or hire language, SERP is guide-dominant |
| is it safe to fix a socket myself | Research, close buying distance | Evaluation question that often ends in “so I should call someone” |
| ceiling fan installation cost | Buyer | Specific service plus price, SERP is service-page dominant |
Where Each Bucket Goes
Buyer keywords belong on service pages, feeding the hero section, headings, and pricing sections from the keyword map in the previous article. Research keywords usually belong in informational content such as blog posts or guides, though some, particularly the buyer-adjacent ones, work better as a pricing FAQ or a dedicated section on the relevant service page rather than a standalone post. The ones with close buying distance, like “is it safe to fix a socket myself,” should end with a clear, low-pressure link to the relevant service page rather than a hard sell.
Getting this backwards creates two familiar problems. A blog post targeting a buyer keyword loses a visitor who was ready to call, because they land on an explainer instead of a phone number and a quote form. A service page targeting a research keyword feels like a hard sell to someone still trying to understand their problem, and they bounce before reading past the first paragraph.
My Recommendation
Don’t sort a local keyword list by importing a SaaS funnel model wholesale. Ask two questions of every keyword: is the searcher ready to choose a provider, and if not, how close are they to needing one anyway. Confirm the split by actually reading the SERP, the local pack, the ads, and the PAA box, rather than judging from the words alone. Buyer keywords go on service pages. Research keywords usually go on blog posts, with the close-buying-distance ones ending in a path back to the relevant service. This is the sorting logic that feeds into the keyword map from the previous article.
Related reading: How to Build a Keyword Map for a Local Service Business, Near Me Keywords vs Location Keywords, Local SEO Keyword Research and Search Volume
About the author: Arif Rahman is a Dhaka-based freelance SEO strategist working with local and service-based businesses across Bangladesh, Australia, and the UAE. He sorts keyword lists the same way he sorts his inbox: fast, by what actually needs a response now versus what can wait.