Many local business owners believe the fastest way to rank in Google Maps is to put the keyword in the business name. "Smith Plumbing" becomes "Smith Plumbing - 24/7 Emergency Plumber Denver." It often worked, which is why so many people did it. In November 2019, Google confirmed a change that made that trick less necessary, and made the map pack harder to predict.
Google called it the November 2019 Local Search Update. It said it had started using neural matching, an AI system for matching concepts rather than exact words, to generate local results. Local SEOs had been seeing big swings for weeks before Google said anything.
Let me explain what businesses saw, exactly what Google confirmed, what neural matching does in plain words, how it fits with relevance, distance and prominence, and what it means for keyword-stuffed business names. You can see where this update sits in the bigger picture on our Google algorithm updates timeline.
The November 2019 local search update at a glance
| Item | Detail |
|---|---|
| Started | Early November 2019 |
| Confirmed | Early December 2019, by Google SearchLiaison on Twitter |
| Official name | Nov. 2019 Local Search Update |
| Type | Local ranking change using neural matching |
| Confirmed by Google? | Yes |
| Scope | Global, "covering countries and languages worldwide" |
| Action required | None, according to Google |
| Who was affected | Businesses in the local pack and Google Maps results, especially for broad category searches |
What local businesses saw in November 2019
Through November, local SEOs reported unusually large ranking changes in the local pack and Google Maps. Wordtracker reported that webmasters noticed "unusually large ranking fluctuations" early in the month, and Search Engine Land said "many" in the local SEO community had seen ranking changes over the previous month.
Some people tried to explain the pattern before Google spoke. Search Engine Roundtable, for example, ran a story headlined "A Google Local Bedlam Update Theory: Position One Stable, The Others Shuffle?" That theory, that the top spot stayed steady while positions two and three moved around, was never confirmed, but the "Bedlam" label shows how chaotic things felt.
The common experiences reported at the time looked like this:
- Businesses appearing in the local pack for searches that did not contain their name or exact category.
- Listings that had relied on keywords in their business name losing some of their advantage.
- Rankings shifting more than usual from day to day while the change rolled out.
- Different results for queries that used synonyms, such as different words for the same service.
Google's confirmation, in its own words
Google confirmed the update through its Search Liaison account, run by Danny Sullivan. As Search Engine Land reported, Google said it was:
“making use of neural matching as part of the process of generating local search results.”
— Google SearchLiaison, as reported by Search Engine Land, Google confirms Nov. 2019 local search update
It added that "this was a global launch covering countries and languages worldwide." Wordtracker summarized several follow-up points from Sullivan:
- Fully rolled out: the bigger changes should have settled, though smaller updates continue as usual.
- No action needed: businesses did not have to make changes, and Google pointed to its existing local ranking guidelines.
- Not a spam update: it was not aimed at spam, though it might help with it.
- Not BERT: there was "no change to BERT," even though BERT had rolled out for organic search around the same time.
- Unusual openness: Wordtracker noted it was the first time Google had given such specific feedback about a local search change, and Sullivan said Google would try to do more of this.
That last point is worth noting. Most local updates before this, including Possum and Hawk, were never confirmed. Local SEOs had to work everything out from ranking data.
Neural matching in local search, explained simply
Google's ranking systems guide describes neural matching as "an AI system that Google uses to understand representations of concepts in queries and pages and match them to one another."
Sullivan used a simpler phrase. Wordtracker quoted him calling it an "AI method to better connect words to concepts. Super synonyms, in a way." Search Engine Land quoted him describing it as "a super synonym system."
Here is what that means for a local business. Before neural matching, Google relied heavily on the words in your listing: your name, your category, your description, and your website. If someone searched "place to fix my cracked phone screen," Google needed those words, or close variants, somewhere in your data. With neural matching, Google can understand that "cracked phone screen" and "phone repair shop" are about the same thing, even if your listing never uses the word "cracked."
Search Engine Land explained that neural matching helps Google understand when a query has local intent, even if the business name or description is not in the query. Google had started using neural matching in regular search in 2018, when Sullivan said it affected about 30% of queries. November 2019 brought it to local results.
For more on how it works across Google Search, see our post on neural matching and how Google connects concepts.
How neural matching changed relevance, but not distance or prominence
Google's local ranking help page has listed the same three factors for years:
“Relevance is how well a Business Profile matches what someone is searching for.”
— Google Business Profile Help, Tips to improve your local ranking on Google
The page also says that "Distance refers to how far each business is from the customer who's searching" and that "Prominence means how well-known a business is," based partly on links and reviews.
The November 2019 update changed how Google judges relevance. As Search Engine Land put it, Google's understanding of relevance now included neural matching. Distance and prominence were not part of the announcement. Here is how I would summarize the effect:
| Factor | Before November 2019 | After November 2019 |
|---|---|---|
| Relevance | Heavily based on matching words in name, category, description and website | Also based on matching concepts; exact words matter less |
| Distance | How far the business is from the searcher or searched location | Not changed by this update (proximity got its own shake-up in the 2021 Vicinity update) |
| Prominence | Reviews, links, offline fame, web presence | Not changed by this update |
One consequence follows from that. If relevance is judged more on meaning, more businesses become relevant for a given search. When more businesses are relevant, distance and prominence decide more of the final order. That is one reason the map pack felt shuffled: Google was suddenly considering a wider group of candidates. I treat this as a reasoned explanation, not something Google spelled out.
What it meant for keyword-stuffed business names
Keyword-stuffed names have been against Google's rules for a long time. Its guidelines for representing your business say: "Including unnecessary information in your business name isn't permitted." Their example shows "TD Bank, America's Most Convenient Bank" as not acceptable and "TD Bank" as acceptable.
The problem was that stuffed names often ranked well, so the rule was widely ignored. Sullivan addressed this directly. Wordtracker quoted him saying neural matching could help by:
“generally maybe helping businesses not feel pressure they have to shove every keyword into their name.”
— Danny Sullivan (Google), as quoted by Wordtracker, Google confirms November local search update
Be careful with how you read that. Sullivan said "maybe," and Google did not say stuffed names would be demoted. Wordtracker also noted that the article had no data on whether keyword names lost or gained rankings. What the update did was make it less necessary to stuff your name, because Google could now understand what you do from other signals.
Here is a hypothetical example. Two locksmiths are the same distance from a searcher:
- Business A is listed as "Rapid Locksmith Emergency 24 Hour Lockout Service." Its website has a single thin page.
- Business B is listed as "Harper & Sons." Its primary category is Locksmith, its services list includes lockouts, rekeying and safe opening, and its website has a page for each service with real details. It has 140 reviews, many mentioning late-night lockouts.
Before neural matching, Business A's name gave it a strong word match for "emergency lockout." After, Google can understand that Business B handles emergency lockouts from its category, services, website and reviews. Business B no longer needs the keyword in its name to compete. And Business A is still breaking the guidelines, which leaves it open to an edit or suspension if a competitor reports it.
What to do with your Business Profile now
The November 2019 update is old, but neural matching is still part of how Google understands local searches. Here is how I would set up a profile with that in mind:
- Use your real business name. Remove taglines, cities and service keywords that are not on your signage and legal paperwork.
- Choose the most accurate primary category, then add secondary categories only for services you really offer.
- Fill in services and products in plain language customers use, including common synonyms.
- Write a clear description of what you do and who you serve. No keyword lists.
- Build a page on your website for each main service, with real detail: what it involves, typical costs or timelines, areas served and photos.
- Ask for reviews that describe the job. A review that says "they fixed our boiler on a Sunday" tells Google more than "great service."
- Track by service, not just your top keyword. Monitor a range of searches, including synonyms, from several points in your service area.
Our guides on choosing the right Business Profile categories and adding and optimizing services go through steps 2 and 3 in detail. If you are just starting out, the free lesson on Google Business Profile covers the basics.
Where this update sits among other local changes
Local search has gone through several big shifts, and this one sits in the middle:
- 2016, Possum: nearby same-category businesses often filtered out.
- 2017, Hawk: that proximity filter tightened, so fewer nearby businesses were hidden.
- November 2019: neural matching changes how relevance is judged.
- November to December 2021, Vicinity: proximity weighted more heavily, hurting businesses that ranked far from their address.
You can read about the later one in our post on the Vicinity update and proximity in local rankings. For a broader view of how all of this affects small firms, see how Google algorithm updates affect local businesses. In the wider 2018 to 2019 context, organic search was also seeing confirmed core updates, starting with the April 2018 core update.
Questions local businesses ask about the November 2019 update
When did the November 2019 local search update happen?
Google said it began in early November 2019 and confirmed it on a Monday in early December, after weeks of reports from local SEOs. Google said it was a global launch across countries and languages, and that the bigger changes had settled by the time it was confirmed.
What is neural matching in local search?
It is an AI system Google uses to understand the concepts in a query and in a business's information, and match them even when the exact words differ. Danny Sullivan called it a kind of super synonym system. In local search, it helps Google work out what a business does beyond the literal words in its name.
Do I need to change anything because of this update?
Google said businesses did not need to make changes and pointed to its existing local ranking advice. In practice, that means accurate categories, a complete profile, clear service descriptions on your website, and reviews, rather than any special tweak.
Should I remove keywords from my business name?
If they are not part of your real-world business name, yes. Google's guidelines say unnecessary information in a business name is not permitted. Danny Sullivan also said neural matching might help businesses not feel pressure to shove every keyword into their name.
Is this the same as the BERT update?
No. BERT rolled out around the same time for organic search, but Google said this local update used neural matching and that there was no change to BERT involved.
Getting your listing ready for concept-based local search
The big lesson from November 2019 is that Google no longer needs your keywords crammed into your name to understand what you do. It needs clear, consistent signals: the right category, real services, a useful website and reviews that describe your work. Businesses that give Google those signals do not have to chase every tweak in the local algorithm.
If your map pack rankings have been bouncing around and you want a clear plan, our team can audit your profile and local pages. See our local SEO services or ask us for a free quote.
Google updates around the same time
Before this update:
- Google BERT Update (2019): How Language Understanding Changed Search (Oct 2019)
- Google's September 2019 Core Update Explained (Sep 2019)
After this update:
- Google's January 2020 Core Update Explained (Jan 2020)
- Featured Snippet Deduplication (2020): Why Snippet Pages Lost Their Second Listing (Jan 2020)
Or browse every Google update on one timeline, newest first.
Sources for this November 2019 local search update article
- Search Engine Land: Google confirms Nov. 2019 local search update
- Wordtracker: Google confirms November local search update
- Milestone Internet: Google November 2019 update, neural matching and travel filters
- Google Business Profile Help: Tips to improve your local ranking on Google
- Google Business Profile Help: Guidelines for representing your business on Google
- Google Search Central: A guide to Google Search ranking systems
- Search Engine Roundtable: November 27, 2019 page linking 'A Google Local Bedlam Update Theory'
