Platform guides

How to search Google reviews by name or keyword

13 August 2026 · JustReview

Yes, Google lets you search reviews by keyword, and the box is easier to find than most people expect: open the business in Google Maps, go to the Reviews tab, and click the magnifying glass. Type “delivery” and the list narrows to public reviews on that profile whose text contains the word, with keyword chips underneath for terms that come up often. What no guide mentions is how much of a review history that box structurally cannot reach. We measured ours on 13 August 2026: across 383,733 Google reviews stored for 2,897 businesses, 124,204 of them carry no text at all.

Using the box Google gives you

On desktop, search the business in Maps, open its profile, scroll to the reviews section and look for the search field with a magnifying glass above the list. On mobile it is the magnifying glass in the top-right corner of the Reviews tab. Type a term, press enter, and the feed filters in real time. Below the field Google shows chips such as “parking”, “staff” or “price”, built automatically from the words that recur most across that profile’s reviews. Those chips are the fastest way in when you do not yet know what you are looking for.

Three limits are worth knowing before you rely on it. It searches one profile at a time, so comparing what customers say about two locations means two separate searches. It searches public reviews only, which is fine for research but means you are reading your business the way a stranger does. And it matches text, which sounds obvious until you see how many reviews have none.

The share that no search can return

A review with a star rating and an empty comment field is invisible to every keyword search ever written, including Google’s. It is not a bug in the tool. There is simply nothing to match.

We ran the count across every Google review in our production database on 13 August 2026. The result is the number we have not seen anyone else publish:

Nearly a third of the whole set is unsearchable. But the interesting part is the order of that table, which is why it is sorted by silence rather than by rating. The blind spot is not spread evenly. It sits precisely in the middle of the scale, where more than half of three-star and four-star reviews arrive with no explanation attached.

That is the opposite of what most owners assume. One-star reviewers are the most likely group to write something: only 20.4% of them leave the box empty, because a person angry enough to rate you one star is usually angry enough to say why. The lukewarm customer, the one who thought it was fine but not great, taps four stars and closes the app. So the feedback you would most want to read - the near-miss, the thing that stopped it being a five - is the feedback least likely to exist as text.

Keyword search cannot help you there, and no tool can fix it after the fact. The only fix is upstream, at the moment you ask for the review.

Even the reviews that do have text are short

Of the 259,529 Google reviews in our data that do carry a comment, the average length is 199 characters, roughly two sentences. And 64,038 of them, 24.7%, are under 60 characters: “Great service”, “Fast delivery”, “Polecam”. A keyword search will happily match those, and then you have matched a phrase rather than a reason. Between the silent third and the one-line quarter, well under half of a typical Google review history contains enough text to be worth searching in the first place.

Searching by name is the weakest of the three

“Find review by name” is a common query, and it usually goes badly. Google shows whatever display name sits on the reviewer’s account, which is frequently a first name alone, an initial, or a placeholder. In our 383,733 Google reviews, the single most frequent author string is the literal placeholder “A Google User”, 180 times. After it come plain first names: Daniel 46 times, Adam 45, Michael 44, Alex 38, Anna 35. On a profile of any size, a name search hands you a set of candidates rather than the review you meant.

Two narrower handles work better. Filter by star rating first, since you almost always remember whether the review was good or bad. Then narrow by date, because you usually remember roughly when it landed. Rating plus a month beats a name on any busy profile.

How big is the haystack you are searching

Scrolling is a fine strategy for a profile with forty reviews and a hopeless one above a few hundred. Here is how the 383,733 reviews distribute across the 2,897 accounts that hold them:

Forty-seven accounts, 1.6% of the total, hold 38% of all the Google reviews we store. The largest single one holds 29,145 - and 14,652 of those, 50.3%, have no text. For that business, half the archive is permanently outside the reach of any keyword search, and the other half is too large to read.

Google’s search stops where Google stops

The other boundary is the platform itself. 805 of the accounts that hold Google reviews also hold reviews from somewhere else, and for that group Google is the minority source: 137,042 reviews on Google against 352,652 from marketplaces, booking sites and industry directories. Searching Maps tells you what people said in one of the places they said it, and for those businesses it is not even the biggest place. If you are still on a single source, the reviews you already have scattered elsewhere are worth finding before you optimise how you search one of them.

Searching your own archive instead

This is the case for pulling reviews into one place you control. In JustReview, All Reviews is a single searchable table of everything we have imported for the account, and the search field matches across the author, the review text and the source name at once, so one query covers Google, Facebook, a marketplace and a booking site together rather than one profile at a time.

Around it sit the filters that do the work a text search cannot. Source, language, star rating, date range or a custom period, visibility, and a “With text only” checkbox that strips out the silent third in one click so you are searching what is actually searchable. A separate toggle shows reviews collected above your plan limit, which are stored but not displayed. Everything you find stays linked to its original review, so a match is one click from the source, and the same table is where you decide what appears in a Google reviews widget on your site. The language filter carries through to what visitors see, so a German page can show German reviews.

Two honest limits. The search is a substring match across the loaded set, not a semantic engine, so it finds “deliver” inside “delivery” but will not group “shipping” with it - use a shorter stem when a search comes back thin. And it can only search what has been imported, which for most sources means from the day you connected them onward; if you need the reasoning behind that, how far back review history goes covers which platforms hand over everything and which hand over a window.

The short version

Google’s own review search works, it is on the Maps profile behind the magnifying glass, and it is the right tool for reading one profile from the outside. It is the wrong tool for auditing your own feedback, because 32.4% of Google reviews have no text for it to match, that share climbs above half at three and four stars, and it never leaves Google.

Pulling everything into one table fixes all three at once. The free plan carries up to 100 reviews with no card, which is enough to see whether the search and the filters do what you need - create an account and connect a source, and the rest is on the pricing page.