Local SEO is the discipline that wins two separate surfaces at once: the Google local pack (the map and three business listings near the top of results) and the suburb-level organic rankings below it, for any query where a buyer is looking for something near them.
Across UC's 146-article Australian corpus audit, only 9% of audited sites carried LocalBusiness schema and just 59% of local-targeted pages named even one suburb, the structural signals Google's local algorithm and AI engines both lean on are missing on most pages.
Type "buyers agent Camberwell" into Google and you see the split. The top section is the map pack: three businesses, star ratings, distance, a click-to-call button. Below that are standard organic results, service pages, articles, directories. Both surfaces use different signals and can be won independently, but the businesses that dominate a local market tend to win both. That is what Local SEO is built to do.
Google's own guidance on local ranking names three factors: relevance (how well your profile and pages match the query), distance (how close you are to the searcher), and prominence (how well-known and trusted Google considers you). The practical translation is a complete and active Google Business Profile, consistent citations across directories, review volume and recency, and suburb-specific pages on your website. Prominence in particular is shaped by reviews: BrightLocal's 2026 Local Consumer Review Survey found 68% of consumers will only use a business with four or more stars, up from 55% the year before, and 97% read reviews for local businesses. That data point explains why a competitors's review count is often the first thing to check when diagnosing a weak map-pack position.
The scale in Australia is the argument for prioritising this: Red Search's local SEO research puts 46% of all Google searches at having local intent, with 93% of Australians searching online for local brands.
There is a third surface now: AI Overviews and ChatGPT answers to geographic queries. Ask ChatGPT "best buyers agent in Hawthorn" and you get a shortlist, not a page of links. The signals that win those citations overlap with Local SEO, entity clarity, structured data, consistent suburb mentions across the web, but it needs deliberate attention on top of the GBP and organic work. That layer sits inside AI Search Optimisation.
For buyers agents specifically, the SEO for Australian buyers agents playbook walks the full execution: GBP setup as a service-area business, suburb page structure, schema markup, and the AI-citation layer. The underlying mechanics of the map pack itself are explained in Google Business Profile. Our SEO & AI Visibility service runs both surfaces together.