---
title: "Build a local keyword page plan from Google autosuggest"
description: "Inventory every treatment and brand you offer, pair each with your city and nearby suburbs, then mine Google autosuggest and the People also ask box for each query. Sort the results into treatment, brand, problem, price and comparison buckets to produce a page plan covering the searches patients actually type."
url: "https://seo-mcp.io/t/build-a-local-keyword-page-plan-from-google-autosuggest"
---

# Build a local keyword page plan from Google autosuggest

Inventory every treatment and brand you offer, pair each with your city and nearby suburbs, then mine Google autosuggest and the People also ask box for each query. Sort the results into treatment, brand, problem, price and comparison buckets to produce a page plan covering the searches patients actually type.

## Prerequisites

- A list of the treatments and brands the business offers
- A target city and 3 to 5 surrounding suburbs or neighbourhoods
- A spreadsheet or document to record queries

## Steps

1. **Inventory every treatment and brand** — Write down each treatment the business offers and each brand product it carries, one per row, before looking at any keyword tool.
   Check: The list contains one row per treatment and one row per brand name.
2. **Add the city and surrounding suburbs** — Pair the location terms with each row: the main city plus the 3 to 5 neighbourhoods or suburbs the business draws patients from.
   Check: Each treatment row has a matching entry for the city and for every one of the recorded suburbs.
3. **Mine Google autosuggest per query** *(general best practice)* — Type each treatment plus city, each brand plus city, each symptom, each price phrase and each comparison into Google and record what the search box suggests while typing.
   Check: The sheet holds the recorded autosuggest completions for every seed query typed.
4. **Record People also ask questions** *(general best practice)* — For each seed query, expand the People also ask box on the results page and copy the questions shown against the matching row.
   Check: Each seed query has at least one captured People also ask question in the sheet.
5. **Sort queries into the five buckets** — Group the collected queries as treatment plus city, brand, problem or symptom, price, and comparison, and assign one planned URL per group.
   Check: The page plan lists at least one planned URL for each of the five buckets on the top treatments.
6. **Check for existing pages before publishing** *(general best practice)* — Run a site-restricted search and a Search Console query filter for each planned term to confirm no existing URL already competes for it.
   Check: A site: search for the term returns no existing URL targeting the same query, or the plan merges the new intent into that URL.

## Source

@bowtiedbills on 2026-10-18: https://x.com/BowTiedBills/status/2111687969559961897

Canonical: https://seo-mcp.io/t/build-a-local-keyword-page-plan-from-google-autosuggest