The Negative Keyword Audit Every Eye Care Practice Should Run Quarterly
Negative keyword lists are not a one-time setup. In an ophthalmology account running cataract, premium IOL, and refractive campaigns side by side, query drift is constant. Brand names change, trending searches emerge, and Google’s match-type behavior expands quietly in the background. A quarterly audit is the difference between a tight, profitable account and one that quietly bleeds 10-20% of spend on queries no one would knowingly bid on. This piece walks through why the audit matters, what healthy hygiene looks like, the red flags that signal neglect, and the process that surfaces real waste.
Why Quarterly Cadence Matters
Negative keyword lists rot. Every quarter, new irrelevant queries start matching your keywords, queries that were not possible six months ago because product names changed, trending searches emerged, or Google expanded broad match behavior. The pace of change in cataract and refractive PPC is faster than most practices realize. New premium IOL launches, evolving consumer terminology around “laser cataract surgery” versus “femtosecond,” and seasonal spikes in vision-loss searches all reshape the query landscape between quarters.
A quarterly audit is maintenance, not optional. Treating it as optional is treating budget waste as optional. Accounts that skip the audit accumulate matched queries that drain spend without producing consults, and the drag compounds because Smart Bidding learns from those low-quality conversion signals. Quarterly cadence is the minimum responsible interval for any account spending more than a few thousand dollars per month, and monthly cadence is appropriate for accounts running broad match or AI Max at scale.
What the Audit Actually Surfaces
The audit surfaces queries that have received clicks or impressions but should not have. The categories repeat across eye care accounts. Misspellings of competitor brands sit alongside completely unrelated conditions, like a “cataract” campaign matching pet cataract surgery searches. Job-search queries (“cataract surgeon jobs near me”) consume budget with zero conversion potential. Informational queries pull traffic that should land on a blog post, not a high-cost paid landing page.
Each surfaced query becomes a negative at exact, phrase, or campaign level depending on pattern. A one-off oddity gets exact match treatment. A family of queries sharing a stem (anything containing “veterinary” or “DIY”) gets phrase match. Account-wide exclusions like job titles, DIY tutorials, and unrelated medical conditions belong on a shared account-level negative list that propagates across every campaign. The discipline is in matching the negative type to the pattern, not in adding the most negatives possible.
For cataract and premium IOL accounts, watch for queries about insurance coverage of premium upgrades (Medicare-only intent) and generic lens-type information (“what is monofocal lens”). Both pull spend without producing consults. Pattern types fall into recognizable buckets. Job-search patterns (“ophthalmologist jobs,” “cataract surgeon careers”) belong on phrase match. DIY patterns (“dry eye home remedies,” “natural cataract treatment”) need phrase-match negatives on the household stems. Wrong-condition patterns like “cosmetic eye surgery” matching refractive campaigns require exact-match negatives because the term is legitimate elsewhere. The decision logic is simple, if the irrelevant query family shares a stem with valid queries, use exact match, otherwise use phrase.
What Healthy Hygiene Looks Like
On a $10K+/month eye care account, healthy hygiene produces measurable signals every quarter. Expect 10-30 new negatives added per audit cycle. Irrelevant-query spend should sit under 5% of total ad spend, and the trend should hold flat or decline quarter-over-quarter as the negative list matures. AI Max or broad-match-heavy accounts generate two to three times more negative opportunities per quarter than keyword-tight accounts, simply because the matching surface is wider.
Beyond raw counts, the qualitative pattern matters. A maturing account sees the same families of irrelevant queries decline over time, while genuinely new categories emerge each quarter. If quarter five shows the same job-seeker queries as quarter one, the negative list was not actually applied (or used the wrong match type). Cataract-specific negative families recur predictably. Veterinary terms (“dog cataract surgery,” “cat cataract removal cost”) appear in nearly every general cataract account because the matching engine treats “cataract surgery” as the dominant signal regardless of species qualifier. Pediatric cataract queries also surface and rarely match adult practice intent. Under AI Max, expect 40-60 new negatives per quarter in the first two cycles, then a tapering curve as the matching engine learns the bounds.
For a deeper look at the supporting routine, our weekly search term report process pairs naturally with this quarterly audit, and the 15-minute Google Ads audit includes negative-list freshness as a core check.
Red Flags That Signal Neglect
Five signals indicate a negative keyword list is not being maintained. First, negative list unchanged in 90 or more days. Second, the same irrelevant queries still matching after being negated last quarter, which almost always means the wrong match type was used. Third, no shared negative list across campaigns, forcing duplicate maintenance and creating inconsistency between cataract, LASIK, and dry eye campaigns that should all exclude job seekers and veterinary queries.
Fourth, account-level and campaign-level negatives duplicated without structure, a pattern that suggests no one is tracking which negatives belong where. Fifth, generic negatives pasted from templates without relevance review, which can accidentally exclude valuable queries (a generic healthcare negative list might exclude “free,” blocking legitimate “free LASIK consultation” searches that convert well).
Sixth, the negative list never exported as backup, meaning a single accidental deletion or account migration wipes years of accumulated hygiene work with no recovery path. A quarterly export to CSV stored outside the ad platform is a five-minute habit that prevents catastrophic loss. Seventh, negatives that block premium IOL brand variants accidentally, the most expensive failure mode in a cataract account. An overly aggressive phrase-match negative on “lens” or partial-match negative on a near-spelling can suppress impressions for “Panoptix lens” or “Vivity lens reviews,” queries with the highest commercial intent in the entire premium IOL funnel. Any one of these flags alone is recoverable. Two or more in combination usually means the agency has not touched the negative keyword surface in months and is treating it as set-and-forget. For multi-million-dollar cataract and refractive accounts, that posture costs real money. A quick review of agency red flags often confirms the broader pattern.
How to Run the Audit
The mechanics are straightforward. Pull a 90-day search-term report filtered to zero-conversion queries with $50 or more in spend. Sort by spend descending. Walk the list query by query and categorize each into one of three buckets: clear negative, keyword opportunity, or acceptable-but-low-performing. The first category gets added as a negative immediately at the appropriate match type.
The second category, keyword opportunity, is the often-overlooked side benefit of negative audits. Some queries surface as zero-conversion because they are not in any active ad group, even though they should be. Adding them as keywords with their own ad and landing page often converts queries that previously produced impressions but no clicks. The third category, acceptable-but-low-performing, gets monitored but not negated.
Maintain a shared account-level negative list for portfolio-wide exclusions (job titles, DIY queries, veterinary terms, unrelated conditions). Use campaign-level negatives for procedure-specific exclusions (cataract excludes “LASIK,” LASIK excludes “cataract”). Document every change in a shared sheet so the next audit starts from a known baseline. Google Ads bulk operations handle the upload, but categorization happens in Excel or Sheets where a pivot table groups queries by stem and surfaces patterns line-by-line review misses. Pivot the export by the first two words of the query, sort by spend, and the worst offenders cluster visibly. Workflow ownership should be explicit. The account manager drafts and proposes the negative list, the account lead approves before upload, and a third reviewer signs off on any negative touching brand or premium-IOL terminology.
Specialty Vision’s Take on the Audit Discipline
Our view is that negative keyword hygiene is the most unsexy and most undervalued task in PPC management. Agencies that treat the audit as a quarterly ritual typically save clients 10-20% on wasted spend annually. Agencies that skip it are bleeding budget in a way that shows up in your search-term report every week, even if it never makes it into the QBR slide. For cataract and refractive practices specifically, our experience is that aggressive partial-match negatives accidentally suppress premium IOL brand queries more often than any other failure pattern we see. Quarterly review must double-check that “Panoptix,” “Vivity,” “LAL” (Light Adjustable Lens), “Symfony,” and “Clareon” still serve impressions and have not been collateral damage from a well-intentioned negative on “lens” or “implant.” We recommend running this audit yourself once before deciding whether your agency is actually doing it. For the broader framework, see our 2026 PPC audit playbook and our closing guide for next steps.
Should negatives be set at exact, phrase, or campaign level?
Depends on pattern. Specific irrelevant queries to exact match negative. Query families with a common stem to phrase match negative. Account-wide exclusions (competitor brand spelled correctly, job-seekers, DIY queries) to shared account-level negative list. Wrong match type is why the same negatives keep resurfacing – most commonly, exact negatives used where phrase or broad would have captured the family.
Do negative keywords hurt AI Max performance?
No – AI Max expands query matching but respects negatives. Under AI Max, negative lists become more important, not less, because keywordless matching surfaces queries you did not anticipate. Tight negatives are the primary control mechanism. Google has stated AI Max honors negatives including at campaign and account level (Google Ads Help, 2026).