Search engine giant Google states that they have released an update that affects how local search results will be generated.
In a process that began early in November, Google is now implementing neural matching to local search results, which enables them to better understand the general meaning behind searches and match them to the local businesses that are the most relevant. This is the case even if the keywords in the search itself aren’t specifically included in the name and description of the business.
Below is a post from the official Twitter account of Google Search Liaison regarding the update:
“In early November, we began making use of neural matching as part of the process of generating local search results. Neural matching allows us to better understand how words are related to concepts. Neural matching is an AI-based system Google began using in 2018 primarily to understand how words are related to concepts. It’s like a super-synonym system. Synonyms are words that are closely related to other words.”
What that means, essentially, is that there are some listings for businesses that may now be surfaced for searches that they normally wouldn’t have appeared for prior to Google launching this specific update.
Google further states that even though the update itself has officially launched, the local search results that are currently being displayed the way they currently are now are in no way finalized. They say that these results will end up changing as time goes on.
Google has yet to go into more detail in regards to what extent local search results will actually be impacted by this new update; however, they did confirm that the update that was recently launched was a global one that affects all countries and languages.
Frequently Asked Questions
1. What is Google’s neural matching for local search?
Neural matching is an AI-based system that helps Google understand relationships between words, concepts, and search intent. For local searches, it can help Google identify businesses that are relevant even when a user’s exact search terms are not included in the business name or description.
2. How does neural matching affect local search results?
Neural matching can help Google connect a searcher’s query with relevant local businesses based on meaning rather than relying only on exact keyword matches. This can result in businesses appearing for searches they may not have previously appeared for.
3. Does a business need to use the exact keywords customers search for?
Not necessarily. Google’s ability to understand search intent means businesses can potentially appear for related queries even when the exact wording is not present in their business name or description. However, accurate and relevant business information remains important.
4. Why does Google use AI in local search?
AI can help Google better understand what users mean when they search. Instead of matching only individual words, systems such as neural matching can identify relationships between words and concepts to provide more relevant results.
5. Can Google’s local search results change over time?
Yes. Google’s search systems are continuously updated and refined. Local results can change as Google processes new information, evaluates relevance, and adjusts how it interprets searches and business data.
6. Does neural matching apply to all local searches?
Neural matching was introduced as part of Google’s local search process and the update discussed in the article was described as global, affecting countries and languages. However, the way results are generated can vary depending on the query and other local search factors.
7. How can businesses improve their local search visibility?
Businesses should maintain accurate information across their online presence, create useful and relevant website content, optimize their Google Business Profile, earn legitimate reviews, and ensure that their services and locations are clearly communicated.
8. Does exact keyword matching still matter for local SEO?
Keywords remain useful for helping search engines and customers understand what a business offers. However, local SEO should focus on relevance, helpful information, search intent, and overall business prominence rather than simply repeating exact keywords.
9. Can a business rank for searches that do not contain its business name?
Yes. Local search results are designed to connect users with relevant businesses, not only businesses whose names exactly match the search query. Google can use information about a business and its services to determine relevance for related searches.
10. Should businesses change their SEO strategy because of neural matching?
Businesses should focus on creating accurate, useful, customer-focused content rather than trying to optimize exclusively for individual keyword variations. A strong local SEO strategy should communicate services clearly while considering the different ways customers may search for those services.
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