Local keyword research is simpler than the tool vendors want you to believe. Search behavior for local services is highly predictable — you just need to enumerate it systematically. Here's a 20-minute process.
Minute 0–5: The seed list
Write down every service you offer in the words a customer would use — not industry jargon. Customers search "fix leaking tap", not "residential plumbing maintenance". Ask: what would someone type at 9pm with water on their kitchen floor?
Minute 5–10: The modifiers
Local intent shows up as modifiers around those seeds. Combine each service with:
- •Geography: city, suburb, neighborhood, "near me"
- •Urgency: emergency, same day, 24 hour, weekend
- •Qualifiers: cost, price, cheap, best, licensed
- •Property type: apartment, commercial, mobile home
Minute 10–15: Steal from the SERP
Type your main service + city into Google and harvest what it gives you: autocomplete suggestions, the "People also ask" box, and the "related searches" at the bottom. These are literal records of what people in your market search. Each PAA question is a blog post; each related search is a page candidate.
Minute 15–20: Map keywords to pages
The step everyone skips: every keyword cluster gets exactly one target page. Commercial intent ("drain cleaning denver cost") maps to service or area pages. Informational intent ("why does my drain smell") maps to blog posts that link to those pages. If two keywords mean the same thing, they share a page — competing with yourself helps no one.
That's it. The output — services, areas, and a keyword-to-page map — is precisely what you feed into the LocalSiteAI wizard, and the AI drafts every page on the list.
Put this into practice in minutes
LocalSiteAI generates the whole structure — service pages, area pages, and blog posts — from a short wizard.
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