TL;DR — On 3 September 2026 Whitespark published a study of 1.4+ million local listings across 17 industries. Listings whose Google Business Profile name contained an exact- or partial-match keyword sat in Google’s top 3 local pack about 2× to 5× as often as listings with no keyword in the name, depending on industry. For home services, the rates were 4.57% (exact), 4.71% (partial), and 2.21% (none). That is correlation. It is not permission to paste extra words onto the listing. Google’s name rule is the real-world name. Do not mix this with the 25 Aug category study, the 1 Sep Q2 Maps-actions post, or the 2 Sep Tell Maps US rollout.
What Whitespark measured on 3 September 2026
Miriam Ellis wrote the study for Whitespark. The cut is 1.4+ million listings and 17 industries. They scored the business title field on the Google Business Profile — the name you see on Maps — against three buckets:
| Bucket | Example they give (appliance repair) |
|---|---|
| Exact-match keyword | Affordable Appliance Repair |
| Partial-match keyword | Kelly’s Appliance Center |
| Zero keywords | DG tech |
They then measured how often each bucket appeared in the top 3 of the local pack.
This is not a Google Search ranking incident. Google’s ranking status history still tops out at the August 2026 spam update (started 18 Aug, ended 21 Aug). Search Central documentation RSS still newest-items at 31 Aug 2026 (European Search Dataset Licensing). Name is a Business Profile field.
Do not treat this post as a patch for:
- 3 Jul 2026 public reviews vanishing
- 9 Jul 2026 dashboard “You have no reviews yet”
- 24 Aug 2026 reviews missing after reinstatement
- 25 Aug 2026 specific vs generic category (1.8 million profiles)
- 2 Sep 2026 Tell Maps US hours-from-a-sign suggestions
- 1 Sep 2026 Q2 Maps calls vs direction requests
Those are separate failure modes. This one is: the listing is live, and the name either matches the door or it has been stuffed.
Home services: any keyword in the name, about 2× the top-3 rate
VTL’s field-ops readers are trades and service businesses. The home-services row is the one to keep:
| Industry | Exact-match | Partial-match | Zero-match |
|---|---|---|---|
| Home services | 4.57% | 4.71% | 2.21% |
Having any trade word in the name roughly doubles the top-3 rate versus none. Exact and partial are essentially tied in this vertical. You do not need the full phrase “appliance repair” to show the correlation — “appliance” was enough in their example.
How common is each pattern in home services (listing counts, not rates):
| Industry | Exact | Partial | Zero |
|---|---|---|---|
| Home services | 20,977 | 132,392 | 263,056 |
Most home-services titles in the cut have no keyword. Partial-match outnumbers exact-match. Exact-match is the rarest. Ellis’s read: most titles are unoptimized, and that is where the ranking correlation shows up. It is still not a stuffing instruction.
The rest of the table (so you do not copy home services onto every trade)
Rates are % of listings in that name-bucket that hit top 3, not “% of the pack.”
| Industry | Exact | Partial | Zero | What Ellis flags |
|---|---|---|---|---|
| Beauty and personal care | 15.59% | 3.69% | 2.50% | Exact ~6× zero; partial barely helps |
| Legal | 7.53% | 7.37% | 2.51% | Any keyword ~3× zero |
| Medical and health | 9.63% | 4.96% | 2.86% | Clean gradient |
| Retail | 15.11% | 6.59% | 3.05% | Exact ~5× zero |
| Sports and fitness | 9.62% | 6.39% | 1.95% | Any keyword multiplies several times |
| Travel & tourism | 29.54% | 8.68% | 6.05% | Largest lift in the dataset (~5×) |
| Real estate | 3.92% | 3.71% | 2.31% | Weakest name effect |
| Automotive | 3.30% | 3.95% | 1.95% | Partial beats exact |
If you sell houses, do not expect the home-services 2×. If you run a salon, exact-match is the row that moved; partial almost did not.
Keyword at the start of the name
Whitespark also checked position. Titles that start with the keyword correlated with more top-3 rankings in 15 of 16 industries with enough data.
Their example: “Plumbing by Andy” vs “Andy’s Plumbing.” More businesses in the dataset use the natural “Andy’s Plumbing” pattern. The correlation favors the awkward order. That is a branding decision, not a Google setting. A DBA that reads like a spam string on the door will still look like spam to customers — and to Google’s name policy.
Google’s name rule is the sign, not the query
The ranking correlation is why people stuff. Google’s written rule is why stuffing gets the listing removed.
Google’s Business Profile name guideline:
Your name should reflect your business’s real-world name, as used consistently on your storefront, website, stationery, and as known to customers.
And:
Including unnecessary information in your business name isn’t permitted, and could result in the suspension of your Business Profile.
Their own example is Shelly’s Coffee — not “Shelly’s Coffee 24 Hour Downtown San Francisco.” Hours, category, and address belong in their own fields.
Ellis is explicit on the same point: you do not have to spam Google to sit in the correlated bucket. Legal rebrand or a DBA, then match the sign. A competitor (or a customer) can report a stuffed name. Google can strip the extra words. You lose the listing you were trying to juice.
The 2026 Local Search Ranking Factors survey (Whitespark; 47 practitioners scoring 187 factors) still ranks keywords in the GBP business title as the third local-pack factor, after primary category and proximity. Category work is already on this blog from the 25 Aug 1.8 million-profile cut. Do that first. Do not skip category and proximity and paste “Best Plumber Dallas” onto the name.
AI search: they did not measure it
The study title mentions AI search. The body is honest: Ellis does not have AI ranking data that ties an optimized GBP title to AI prominence. What she will stand on: Google Business Profiles remain the richest local dataset on the web, and Gemini trains on them. “Keywords are dead” is an informational-SEO slogan. It is not a measured GBP-title finding in this paper.
Do not quote this post as “keywords in the name rank you in ChatGPT.” That number is not in the study.
Operator checklist (20 minutes, one listing)
Do this on a live, unsuspended profile. If reviews vanished after reinstatement, stop and diagnose that gap first.
- Screenshot the Maps name, the storefront / van sign, and the website header.
- Diff. If the GBP name has city, “24/7,” extra services, or a slogan that is not on the sign or stationery, remove the extras. That is compliance, not a ranking loss you choose later.
- If you want a trade word in the name, change the legal brand or file a DBA, reprint the sign, then edit the listing once. One name change. Wait.
- Do not bulk-edit name + address + category + phone in the same hour.
- Do not burst-request reviews to “make the new name mean something.” Review velocity is a drip after completed jobs — see GMB automation for service businesses and WhatsApp vs email review requests.
- Category is a different post. If the primary is still generic Contractor, fix that using specific vs generic before you touch the name.
This is not a custom software Build. If Map Pack leads, CRM capture, and review replies are still manual, start with a Blueprint — a 5–7 day diagnostic. The productized review loop is Reputation Management from $180/mo.
Limitations
- Whitespark reports correlation, not a ranking guarantee. Owners with keyword names also tend to work the rest of local SEO.
- Top-3 rates look small in some rows (home services 4.57% vs 2.21%) because the denominator is every listing in the bucket, not every pack. The lift is still roughly 2× in that vertical.
- They did not publish per-market competition or review-count controls in the tables above.
- No AI citation matrix for the name field. Do not invent one.
- Real estate is a weak-effect industry in this cut. Do not copy travel’s 29.54% onto a realty listing.
- Name cleanup does not restore missing historical reviews after a suspension.
- Alternatives: leave a stuffed name and wait for a report; paste the city into the title (guideline miss); ignore category and proximity. The honest first move is match the sign, then category, then a review drip.
FAQ
Should I add “plumber” to my Google Business Profile name if the shop sign does not say it?
No. Google’s name guideline is the real-world name on the storefront, website, and stationery. Unnecessary words in the name can suspend the listing. If you want a keyword in the name, change the legal brand or file a DBA, then match the sign.
Do keywords in the GBP name guarantee Map Pack rank?
No. In home services, exact-match names sat in the top 3 4.57% of the time, partial-match 4.71%, zero-match 2.21%. Real estate showed only a modest lift. Category and proximity still sit above name in Whitespark’s ranking-factors survey.
Does this replace the 25 August category study?
No. That study was specific vs generic primary category on 1.8 million profiles. This one is the name field on 1.4+ million listings. Do not bulk-edit name and category in the same hour.
Sources
- Study: How Keywords in Business Names Currently Impact Google Local Pack Rank and AI Search — Whitespark, Miriam Ellis, 3 Sep 2026
- Guidelines for representing your business on Google — Google Business Profile Help (name = real-world name; extra words can suspend)
- 2026 Local Search Ranking Factors — Whitespark, Darren Shaw (keywords in GBP title ranked 3rd for local pack)
- Specific GBP Category Beats Generic: What 1.8 Million Profiles Show
- The Google Business Profile Algorithm in 2026
- Google Review & GMB Automation — VijayaTech Labs, pricing checked 4 Sep 2026