Google is running a small experiment in US search results: adding "Strongest match" and "Strong match" badges to certain sponsored ads. Google Ads Liaison Ginny Marvin confirmed the test on June 23. The labels are visible to users browsing search results. They're not visible to the advertisers whose ads earn them.
There's no reporting column. No new metric. No way to filter by which campaigns or ad groups are generating labeled impressions. Google built a quality signal into the user experience and left the advertiser side completely dark.
What the labels actually are
This is not a new match type. "Strongest match" and "Strong match" are UI badges — visual indicators added to sponsored listings that signal Google's confidence that a particular ad is highly relevant to the query that triggered it.
The underlying signals are the same three Quality Score components that have existed for years: expected click-through rate, ad relevance, and landing page experience. The test adds no new inputs. It takes existing assessments Google was already making internally and surfaces them for the searcher.
Two things follow from that. First, the labels are query-specific, not keyword-specific. The same ad group can earn a "Strongest match" label on one query and nothing on another, depending on how well the full package — copy, landing page, expected behavior — aligns with that specific intent.
Second, the labels don't touch the auction. Your bids, Quality Score, and ad rank work exactly as before. This is purely about what the user sees, not how Google selects or orders ads behind the scenes.
The problem with zero reporting
The honest take: Google tested a consumer-facing change without building any tools for the advertiser side.
A "Strongest match" badge next to your ad probably lifts CTR. Seller ratings, review stars, site links — any visual signal that differentiates an ad in a crowded SERP shifts click behavior. There's reasonable evidence that relevance indicators shown to users move click rates even when users aren't consciously reading them.
But you can't measure that effect. You can't segment impression share by whether your ads earned labels. You can't see which ad groups are close to earning them versus far off. The inputs that drive labels are tunable. The output is invisible.
Google has described this as an early-stage experiment and hasn't committed to making labels permanent or adding any reporting. The pattern is familiar: features that benefit users get tested and validated before advertiser measurement tools follow — if they follow at all.
What actually drives the labels
Since you can't see the output, the inputs are your only lever.
Ad relevance is the most direct component. Tight ad groups with closely themed keywords, copy that mirrors the query, headlines that answer what the searcher is asking — that's what earns points here. Broad match campaigns where Performance Max controls creative have a harder time achieving this because query-to-copy alignment varies widely by design.
Landing page experience matters more than most accounts acknowledge. A page that loads slowly, buries the relevant product below the fold, or doesn't deliver what the ad promised drags this component down — and it's one of the hardest Quality Score factors to improve quickly, because you're fixing actual pages, not account settings.
Expected CTR is the component you have the least direct control over, but RSA ad strength is a reasonable proxy for your position here. An ad with "Excellent" strength, a pinned headline in position one, and relevant extensions active is better positioned than one flagged "Poor" with three generic headlines filling the rotation.
What to do with a signal you can't track
Run the account work that earns high Quality Scores regardless of labels.
Every ad group should have a tight keyword theme and copy that reflects it. If you're running Standard Shopping or PMax with AI-generated assets, the feed is the anchor — product titles, descriptions, and attributes are what Google pulls from when generating copy for placements across AI Mode and conversational search.
Pull a Quality Score report sorted by spend. Flag everything below 6. The components column shows exactly where the problem is: ad relevance issues mean your copy is too broad, landing page issues mean you're sending traffic to the wrong destination, expected CTR issues mean your ad format isn't meeting the bar Google expects for that query type.
The labels don't change the economics today. But they signal where Google is heading: making relevance visible in the SERP as a user-facing differentiator, not just using it quietly in the auction. Accounts with high average Quality Scores will be better positioned when — or if — this rolls out at scale.
If you want a clear view of where your Quality Score problems sit across a full account right now, the free audit at Gromerce surfaces ad group and keyword-level issues in a few minutes.
The label you earn is the one you were already set up to earn.
Sources: Search Engine Land, Search Engine Journal, SERoundtable, Google Ads Liaison Ginny Marvin, June 2026
