The Ensh*ttification of Search (and What We’re Doing About It)
What we’re seeing inside high-spend injury lawyer campaigns right now is starting to feel less like incremental change and more like system-wide breakdown of signal quality inside search.
At a certain point, it stops looking like optimization and starts looking like monetization at any cost.
We’re now at a stage where a meaningful portion of search traffic that used to be somewhat predictable is either:
- Being aggressively reinterpreted by AI systems
- Or completely excluded from campaigns because it’s so irrelevant we’re blocking it outright
In fact, about ¼ of the search terms we’re seeing in some injury campaigns are now being proactively excluded just to maintain basic lead quality. That’s not optimization—that’s defensive filtering.
What’s Changing in Search Behavior
Some of the patterns showing up right now would have been hard to imagine even a year ago.
We’re seeing things like:
- Random number sequences triggering high-intent personal injury ads
- Non-meaningful inputs (not phone numbers, not structured queries) still being interpreted as commercial intent
- Escort-related or unrelated business identifiers being mapped to expensive legal keywords
- Broad AI matching systems forcing relevance where none actually exists
In some cases, Google’s system appears to be treating almost any input as a potential service intent signal, especially in high-value verticals like legal.
That leads to situations where:
A string of random characters can still surface a $150–$300 per click ad
Which is where things start to break down.
Why This Matters for Law Firms
Legal advertising has always been sensitive to inefficiency, but this level of signal distortion creates a different kind of problem.
It’s not just about irrelevant clicks anymore—it’s about:
- AI systems over-interpreting intent
- Expanding eligibility for expensive keywords
- And reducing the reliability of what “qualified traffic” even means
For law firms, that can show up as:
- Higher spend volatility
- Lower confidence in search term accuracy
- More aggressive negative keyword requirements
- And a growing gap between “reported conversions” and actual case quality
When filtering becomes this important, it means the underlying matching logic is no longer stable enough to rely on passively.
The Bigger Pattern
Zoom out, and this fits into a broader trend we’ve been tracking across Google Ads:
- Match types expanding beyond clear semantic relevance
- AI systems prioritizing monetization opportunities over strict query logic
- Increasing overlap between unrelated intent signals
- Less transparency into why ads are being triggered
It’s not just that targeting is getting broader—it’s that interpretation is becoming the targeting layer itself.
And in high-CPC categories, that interpretation tends to skew toward inclusion, not exclusion.
What ADSQUIRE Is Doing
We’re responding to this shift by tightening control where automation is loosening it.
A major focus right now is aggressive negative keyword architecture, especially at the campaign level.
That includes:
- Building and continuously expanding campaign-level negative keyword lists to block irrelevant, ambiguous, or non-intent queries
- Applying shared negative frameworks across injury campaigns to maintain consistency at scale
- Actively reviewing search term data and removing entire clusters of low-quality or nonsensical queries before they impact spend
- Filtering out patterns early—especially where random inputs or unrelated identifiers are triggering legal intent ads
We’re also segmenting performance based on actual intake quality and case outcomes, not just platform-reported conversions, because attribution signals are becoming less reliable on their own.
The goal isn’t to fight every edge case—it’s to maintain signal integrity in an environment where the signal itself is getting noisier.
Bottom Line
Search isn’t just evolving—it’s becoming more aggressively interpretive, and in some cases, less logically grounded than it used to be.
For legal advertisers, that means one thing: you can’t rely on the platform to self-correct for relevance anymore.
At ADSQUIRE, we’re building around that reality—tightening filters, enforcing intent boundaries, and making sure campaigns stay focused on what actually matters:
real people, real intent, real cases.
