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Near Me Searches: How Users Search Locally

Lucas Blochberger··Updated 9 June 2026
Definition

Near-me searches are location-based queries where users search for businesses, services or products in their immediate vicinity. 58 percent of consumers use voice search to find local businesses, and near-me searches have grown over 500 percent in recent years.

Key Takeaways

  • Near-me searches combine high purchase intent with spatial proximity; according to international surveys, 76 percent of near-me searchers visit a suitable business within one day.
  • Google recognizes local intent even without the addition 'nearby' or a named location, via GPS, IP address, search history and the content relevance of the search term.
  • Optimization does not target the phrase 'nearby', but overall local relevance: primary category, NAP consistency, profile quality and reviews.
  • Near-me searches are mobile-driven; in Austria, 81.5 percent of internet usage was mobile in June 2024, making fast loading time, click-to-call and mobile UX conversion factors.
  • Google names three local ranking factors: relevance, distance and prominence; since distance cannot be influenced, relevance and prominence determine reach.
  • In Austria, local visibility is almost entirely Google: 81.87 percent market share across all devices and 91.79 percent on mobile devices (May 2026).
  • Success is measured on three levels: profile interactions (calls, directions, website clicks), local rankings via a geo-grid and conversion tracking including click-to-call and route starts.

Near-me searches are among the highest-converting search types. 76 percent lead to a business visit within 24 hours, 28 percent result in a purchase.

How Google processes near-me searches

Google recognizes local intention in three ways: explicit phrasing (dentist near me, restaurant near me), implicit intention (dentist, restaurant, where Google knows these searches are locally meant), and user location data (GPS, WiFi, IP address).

For processing, Google primarily uses GBP data, Maps information, website content, and user signals (clicks, route planning, calls). The location of the searcher is the dominant factor: businesses located closer have a natural advantage.

Optimization for near-me searches

The most effective optimization is a fully completed Google Business Profile with precise address and opening hours. Local keywords in title tags and content, LocalBusiness schema with geo-coordinates, and a mobile-optimized website (the majority of near-me searches are conducted on mobile) complement the strategy.

The German variant: In der Nähe

In the DACH region, users search both with "near me" and "in der Nähe." Google treats both variants identically. For content optimization, natural integration of both variants is recommended.

Voice search and local intention

58 percent of consumers use voice search for local businesses. 76 percent of all voice queries have local intention. In the DACH region, Google Assistant is increasingly being replaced by Gemini. Alexa uses Bing's index. Optimization for voice search overlaps heavily with near-me optimization: natural language answers, FAQ markup, and complete GBP data.

Data & Statistics

76 Prozent der Nutzer, die nach 'near me' suchen, besuchen innerhalb eines Tages ein Unternehmen; lokale mobile Suchanfragen mit Kaufabsicht stiegen über zwei Jahre um 500 Prozent (beide Google als Quelle zugeschrieben)

Backlinko - Local SEO Statistics (zitiert Google), ohne Länderkennzeichnung (2025)

Fast 50 Prozent aller Personen, die mobil eine lokale Suche durchführen, besuchen oder kontaktieren noch am selben Tag ein lokales Unternehmen; am Desktop oder Tablet sind es 34 Prozent

digital-lokal.de (zitiert eine Google-Studie / Think with Google) (2021)

81,5 Prozent der Internetnutzung in Österreich erfolgte im Juni 2024 mobil (App-Nutzung 49,9 Prozent, mobiles Web 31,6 Prozent)

Statista (Studie 442514), Quelle: Österreichische Webanalyse (ÖWA) (2024)

8,58 Millionen Internetnutzer in Österreich bei 95,7 Prozent Penetration und 12,92 Millionen Mobilfunkverbindungen (144,1 Prozent der Bevölkerung), Anfang 2024

DataReportal - Digital 2024: Austria (2024)

Smartphone-Shopping war 2024 in Österreich mit plus 36 Prozent der stärkste E-Commerce-Wachstumstreiber, bei 10,6 Milliarden Euro Gesamtvolumen und rund 6 Millionen Distanzhandel-Käufern

Handelsverband Österreich / KMU Forschung Austria - eCommerce-Studie Österreich 2024 (2024)

Google-Marktanteil in Österreich: 81,87 Prozent über alle Geräte und 91,79 Prozent auf Mobilgeräten (Mai 2026)

StatCounter Global Stats - Search Engine Market Share Austria (2026)

Ein Google-Vertreter soll auf einer Veranstaltung gesagt haben, dass 46 Prozent aller Suchanfragen eine lokale Intention haben (nur aus zweiter Hand über einen Tweet belegt, keine offizielle Google-Primärquelle)

Search Engine Roundtable (Barry Schwartz) (2018)

45 Prozent der Konsumenten nutzen Google als Standardkanal für lokale Suchen, weitere 15 Prozent zuerst Google Maps; soziale Medien sind für 14 Prozent der erste Anlaufpunkt und bei der Gen Z für über ein Viertel (26 Prozent)

BrightLocal - Consumer Search Behavior (US-Daten) (2025)

FAQ

What are near-me searches?
Near-me searches are search queries with explicit or implicit local reference, where the user expects results in their immediate vicinity. Explicit is a search that contains 'nearby' or 'near me'. Implicit is a search for something inherently local like 'pizza' or 'emergency dentist' without a location addition. In both cases, Google delivers location-based results, especially in the Local Pack and in Google Maps.
How does Google recognize the location when I don't even enter 'nearby'?
Google derives local intent from multiple signals: GPS position on mobile devices, approximate localization via IP address on desktop searches, search history and behavior stored in the account. When someone searches for an inherently local term, Google treats the query as if the user had written 'nearby' and displays nearby businesses.
What is the difference between 'hairdresser Vienna' and 'hairdresser nearby'?
'Hairdresser Vienna' is an explicit location search. The user names the location themselves, and Google delivers results for Vienna, regardless of current location. 'Hairdresser nearby' is an explicit near-me search. Here the phrasing signals that results around the current location are expected. Google then uses GPS or IP to display the nearest hairdresser.
Is it enough to write 'nearby' often on my website to become visible?
No. Google derives local intent from location signals and overall relevance, not from the literal occurrence of the phrase. What matters is a precise primary category in the Google Business Profile, consistent NAP data, reviews and a fast mobile website. Mechanically inserting the phrase 'nearby' has little effect.
Why is mobile optimization so important for near-me searches?
Near-me searches occur predominantly on mobile and on the go. In Austria, 81.5 percent of internet usage was via mobile devices in June 2024. Fast loading time, good Core Web Vitals, a visible click-to-call button and clear route guidance therefore determine success or bounce. Those who load slowly on mobile or hide the phone number lose exactly the users with the highest action intent.
How do I measure the success of my near-me optimization?
On three levels. First, profile interactions from the Google Business Profile, i.e. calls, route requests and website clicks. Second, local rankings via a geo-grid that measures visibility across a grid of geographic points, for example across individual Vienna districts. Third, conversion tracking that captures click-to-call, route starts and inquiries as local conversions and thus makes the business contribution visible.
What role does Google play in Austria for local search?
A dominant one. In May 2026, Google had 81.87 percent market share in Austria across all devices and 91.79 percent on mobile devices. Since near-me searches occur predominantly on mobile, local visibility in Austria is decided almost entirely within the Google ecosystem of Search, Local Pack and Maps. Other search engines are a marginal topic for local visibility.

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