It seems you're interested in the different ways people search for local businesses and information online. Here's a breakdown of the main types of local searches, incorporating the concepts of contextual, inferred, and intent-based search:
1. Direct Searches:
- What they are: The user knows the specific business name and is looking for it directly (e.g., "McDonald's on Elm Street").
- Context: The user's location is important to find the nearest branch.
- Inference: The search engine infers the user wants directions, hours, or contact information.
- Intent: Primarily navigational (finding a specific location).
2. Discovery Searches:
- What they are: The user is looking for a type of product or service in a specific area (e.g., "best coffee shops in Seattle").
- Context: Location is key, along with factors like time of day (for "open now" searches).
- Inference: The search engine infers the user wants reviews, menus, or photos.
- Intent: Commercial investigation (researching options) or transactional (planning to visit).
3. "Near Me" Searches:
- What they are: The user is looking for something nearby, often on their mobile device (e.g., "gas stations near me").
- Context: The user's current location is the most crucial factor.
- Inference: The search engine infers the user needs immediate service or has an urgent need.
- Intent: Often transactional (needing a product or service right now).
4. Product/Service + Location Searches:
- What they are: The user combines a specific need with a location (e.g., "plumbers in Brooklyn").
- Context: The specified location is crucial.
- Inference: The search engine infers the user needs contact information, service details, or pricing.
- Intent: Commercial investigation (comparing options) or transactional (hiring a service).
5. Question-Based Searches:
- What they are: The user asks a question related to a local area or business (e.g., "what time does the library open?").
- Context: The location of the library is essential.
- Inference: The search engine infers the user wants specific information like hours, address, or services.
- Intent: Informational (seeking specific details).
6. Non-Transactional Local Searches:
- What they are: The user seeks information about a local place or attraction (e.g., "things to do in Denver").
- Context: The specified location is the main focus.
- Inference: The search engine infers the user wants recommendations, reviews, or details about activities.
- Intent: Informational (planning a trip or exploring options).
How Search Engines Use These Concepts:
Search engines use a combination of these concepts to provide the most relevant local results:
- They use context like your location and time to narrow down the options.
- They use inference to understand what you implicitly need beyond your keywords.
- They use intent to prioritize results that best match your goal, whether it's to find a specific business, explore options, or get quick information.
By understanding these types of local searches, businesses can optimize their online presence to be more visible to potential customers at the moments that matter most.