A Google Ads negative keyword strategy is a structured approach to excluding irrelevant search terms from triggering your ads, preventing wasted spend and improving campaign efficiency across Search, Shopping, Performance Max, and AI Max campaigns. In 2026, negative keyword strategy has fundamentally shifted. Google's rollout of campaign-level negative keywords, combined with the rapid expansion of AI Max and Performance Max campaigns, means the old playbook of shared negative keyword lists and monthly search term reviews no longer cuts it. This guide covers the new campaign-level negative keyword feature, provides 400+ industry-specific negatives for ecommerce, lead gen, SaaS, and local businesses, and explains exactly how to handle negatives in AI-driven campaigns where traditional control breaks down.
If you are running Google Ads in 2026 and not actively managing negative keywords at every level, you are almost certainly bleeding budget on irrelevant clicks. The question is how much, and how to stop it.
For years, Google Ads gave advertisers two primary options for negative keywords: account-level negatives and shared negative keyword lists applied across campaigns. Both had real limitations.
Account-level negatives were blunt instruments. They blocked terms everywhere, which made them useful only for the most universally irrelevant queries (think "free," "jobs," or "porn"). Shared negative keyword lists offered more flexibility but came with their own problems. Lists had a hard cap of 5,000 terms each, and the maximum number of lists per account was limited. More critically, shared lists were applied at the campaign level with no granularity within campaigns themselves. If you wanted different negative strategies for different ad groups, you had to manage ad group-level negatives manually, one at a time.
The result was a messy patchwork of negatives scattered across accounts with no clear hierarchy or logic. Most advertisers ended up with outdated lists, conflicting negatives, or gaps that let irrelevant traffic slip through for months.
Campaign-level negative keywords in 2026 give advertisers direct, native control over exclusions at the campaign level without relying on shared lists. This sounds incremental, but the practical impact is significant.
You can now build negative keyword strategies that are truly campaign-specific. An ecommerce brand running both branded Search and non-branded Shopping campaigns can apply entirely different exclusion logic to each without maintaining separate shared lists. A SaaS company can block "free trial" from its enterprise campaign while keeping it active in its self-serve acquisition campaign, all within a clean, visible structure.
The key improvements include easier visibility into which negatives apply where, reduced risk of conflicting negatives across shared lists, simpler management when scaling to dozens of campaigns, and better alignment between campaign intent and negative keyword coverage. This is especially important as accounts grow more complex with Performance Max campaigns running alongside standard Search and Shopping.
Here is where things get complicated. Campaign-level negatives work cleanly in standard Search and Shopping campaigns. But AI Max and Performance Max campaigns operate under different rules. Google's AI-driven campaigns use broad signal-based targeting, and the way negatives interact with that targeting is not always transparent.
In Performance Max, Google introduced the ability to add account-level negatives that apply to PMax campaigns, but the coverage is incomplete. In AI Max campaigns, URL expansion and automatically created assets can trigger your ads for queries you never intended to target, and negatives may not fully prevent this. We will cover this in detail later in the article.
The core tension in 2026 is this: Google keeps pushing advertisers toward AI-driven campaign types that reduce manual control, while negative keywords remain one of the most important manual levers for protecting budget. The advertisers who win are the ones who maintain aggressive negative keyword hygiene despite Google's push toward automation.
Effective negative keyword strategy in 2026 operates on three tiers, each serving a distinct purpose.
Account-level negatives block universally irrelevant terms across every campaign. These are your baseline exclusions: terms related to jobs, careers, free resources, adult content, DIY, and competitor names you never want to appear for. Every account should have a foundational list of 50 to 100 account-level negatives before a single dollar is spent.
Campaign-level negatives handle intent-specific exclusions. A brand campaign should block generic product terms. A high-intent Search campaign should block informational queries. A Shopping campaign should block service-related queries. This is where the new campaign-level feature shines, letting you tailor exclusions to each campaign's purpose without list management overhead.
Ad group-level negatives provide the finest control, primarily used for sculpting traffic between ad groups. If you have separate ad groups for "enterprise CRM" and "small business CRM," you use ad group negatives to ensure each query hits the right ad group and landing page.
Most accounts under-invest in campaign-level negatives and ignore ad group-level negatives entirely. This is where the majority of wasted spend hides.
Do not wait for search term data to start building negatives. Before launching any campaign, you should have negatives in place based on your industry, business model, and campaign intent.
Start with the universal negatives that apply to nearly every advertiser: free, cheap, jobs, careers, salary, internship, DIY, tutorial, how to make, reddit, quora, youtube, torrent, download, sample, template, and course. Then layer in industry-specific negatives (covered in the next section). Finally, add intent-based negatives specific to each campaign. A bottom-of-funnel lead gen campaign should exclude "what is," "definition," "vs," "review," and other informational modifiers.
This pre-launch foundation prevents the common mistake of burning through budget during the first two weeks while you wait for enough search term data to react.
Building your initial list is step one. Ongoing maintenance is where most advertisers fall apart.
In 2026, you should be reviewing search term reports at minimum weekly for high-spend campaigns and bi-weekly for lower-spend campaigns. Look for irrelevant queries that are consuming clicks, queries with high impressions but zero conversions, and queries that indicate wrong intent (informational when you want transactional, B2C when you are targeting B2B).
Pay special attention to close variants. Google's broad match and phrase match have expanded significantly over the past few years, meaning your ads will match to queries that are thematically related but commercially irrelevant. A SaaS company bidding on "project management software" might find their ads showing for "project management certification" or "project management job description." These require ongoing negative keyword additions.
This level of ongoing management is exactly where most agencies and freelancers drop the ball. A typical agency reviews search terms once or twice a month at best, and many freelancers check even less frequently. This is one reason groas outperforms traditional management approaches. groas AI agents analyze search term data continuously, 24/7, identifying and adding negatives in near-real time rather than waiting for a scheduled review. Your dedicated human account manager oversees the strategic direction of these exclusions, ensuring that automation does not accidentally block valuable traffic.
The following lists provide starting points. Every business will need to customize based on their specific products, services, and target audience.
Ecommerce accounts waste enormous budget on queries from people who have no intent to purchase. Your negative keyword list should cover several categories.
Freebie and discount seekers: free, free shipping only, coupon, coupon code, discount code, promo code, clearance, liquidation, closeout, sample, giveaway, freebie, rebate, cashback, cheapest, dirt cheap, budget, used, refurbished, secondhand, second hand, pre-owned, thrift, garage sale, yard sale, craigslist, facebook marketplace, offerup.
DIY and non-purchase intent: DIY, homemade, how to make, how to build, recipe, pattern, template, printable, tutorial, instructions, plans, blueprint, craft, handmade.
Research and comparison (for bottom-funnel campaigns): vs, versus, comparison, compare, review, reviews, rating, ratings, best, top 10, alternatives, alternative to, reddit, quora, forum, blog.
Job and career related: jobs, career, careers, hiring, salary, salaries, internship, intern, employment, employer, work from home, remote job, glassdoor, indeed, linkedin.
Irrelevant product modifiers: wholesale (unless you sell wholesale), bulk (unless relevant), rental, rent, lease, borrow, loan, repair, fix, broken, replacement part, manual, specs, specification, datasheet.
Wrong audience: kids, children, toddler, baby, pet, dog, cat (unless you sell these categories), miniature, toy, costume, cosplay, fake, imitation, knockoff, replica.
For ecommerce accounts running Shopping campaigns, these negatives are especially critical because Shopping ads match to product feed data rather than keywords, giving you less control over which queries trigger your ads.
Lead gen campaigns live and die by lead quality. The wrong click does not just waste ad spend; it wastes sales team time and distorts your conversion tracking data.
Non-buyer intent: free, free consultation (if you charge for consultations), volunteer, donate, donation, charity, nonprofit, pro bono, scholarship.
Job seekers: jobs, careers, hiring, salary, internship, glassdoor, indeed, linkedin, resume, CV, cover letter, interview questions, work from home.
Students and researchers: assignment, homework, thesis, dissertation, research paper, case study (use carefully), academic, university, college, course, certification, exam, test, quiz, study guide, textbook, PDF, download.
Wrong service intent: DIY, how to, tutorial, template, calculator, generator, free tool, software (if you are a service company), app, plugin.
Competitors you cannot serve: Add competitor brand names if clicks on those terms do not convert profitably. This is account-specific but often overlooked.
Geographic exclusions: Add city and state names for locations you do not serve. If you are a local service business, this is critical for preventing clicks from outside your service area.
SaaS and B2B advertisers face a unique challenge: many of their target keywords overlap with queries from students, job seekers, and people looking for free tools.
Students and learners: course, class, training, certification, tutorial, learn, learning, degree, masters, MBA, bootcamp, udemy, coursera, edx, textbook, study, exam, quiz.
Job seekers: jobs, career, salary, hiring, interview, resume, linkedin, glassdoor, job description, remote work, freelance, contractor.
Free tool seekers (for paid SaaS): free, open source, free alternative, free version, freemium, trial (if you do not offer trials), crack, cracked, pirated, torrent, github (unless relevant).
Wrong buyer type: personal, individual, family, home, small (if enterprise-only), startup (if enterprise-only), student discount, education discount.
Informational modifiers (for bottom-funnel campaigns): what is, definition, meaning, wiki, wikipedia, explained, overview, introduction, beginner, basics, 101, guide (use carefully).
Local businesses waste the highest percentage of their budget on irrelevant clicks because their service terms often overlap with broad consumer queries.
DIY and self-service: DIY, how to, tutorial, instructions, tools, supplies, parts, materials, rental (unless you rent equipment), kit.
Job seekers: jobs, hiring, career, salary, apprenticeship, license, licensing, certification, training, school.
Wrong location (add your specific exclusions): Names of cities, states, and countries you do not serve. This is the single highest-impact negative keyword category for local businesses.
Non-customer intent: complaints, lawsuit, scam, BBB, reviews (for campaigns focused on conversions, not reputation), yelp, google maps, near me free, pro bono.
Commercial irrelevance: wholesale, commercial (if residential only), residential (if commercial only), industrial, franchise, buy a business, start a business.
AI Max and Performance Max campaigns are designed to maximize reach by expanding beyond the signals you provide. This is their strength and their vulnerability. Without aggressive negative keyword management, these campaigns will spend on queries that are thematically adjacent to your business but commercially worthless.
Performance Max campaigns are particularly prone to budget leakage because they serve ads across Search, Shopping, Display, YouTube, Gmail, and Discovery simultaneously. The search queries PMax matches to are often broader than what you would target in a standard Search campaign.
In 2026, the primary method for adding negatives to Performance Max is through account-level negative keywords. Google also allows you to request brand exclusions for PMax campaigns, preventing your ads from showing on branded queries you do not want.
However, there are significant limitations. You cannot add campaign-level or ad group-level negatives to PMax directly in the way you can with Search campaigns. Account-level negatives apply, but they are blunt. You also have limited visibility into which search terms actually triggered your PMax ads, making it harder to identify what needs to be blocked.
The practical approach is to maintain a robust account-level negative list, regularly check the PMax search terms insights report (which provides partial data), and supplement with brand exclusions. For accounts spending significant budget on PMax, this is a time-intensive process that requires consistent attention.
This is another area where groas provides a meaningful advantage. groas AI agents monitor PMax search term insights continuously, flagging emerging irrelevant queries and adding account-level negatives proactively. Your dedicated account manager reviews these additions during bi-weekly strategy calls, ensuring the automated exclusions align with your business goals and do not inadvertently restrict valuable traffic.
AI Max campaigns introduce another layer of complexity. When URL expansion is enabled, Google can send traffic to pages on your website that you did not specify in your campaign. This means your ads can match to queries related to content on those pages, even if those queries have nothing to do with your actual advertising goals.
The conflict arises when your negative keywords block terms that AI Max is actively trying to target through URL expansion. In some cases, Google's AI may override or ignore negatives when it believes the expanded URL is relevant. This creates a frustrating situation where you add a negative keyword, see it in your account, but still find your ads appearing for that term.
The solution is to disable URL expansion for campaigns where tight query control is essential, maintain aggressive account-level negatives as a backstop, and monitor search term data closely for signs that AI Max is circumventing your exclusions.
Understanding who is actually controlling your Google Ads in 2026 is essential context for making these decisions.
Manual search term review is still valuable, but it does not scale. An account with 20 campaigns generating thousands of search queries per week cannot be effectively managed through weekly spreadsheet exports. The human eye catches patterns that algorithms miss, but algorithms catch volume that humans cannot process.
The best approach combines both: automated identification of high-volume irrelevant terms supplemented by human review for strategic decisions. Should you block "enterprise" from your SMB campaign, or should you create a separate enterprise campaign? That is a strategic call, not an automation decision.
Google Ads scripts can automate basic negative keyword management by scanning search term reports for queries with high spend and zero conversions, then adding them as negatives automatically. Several third-party tools offer similar functionality with more sophisticated logic.
However, automation without oversight is dangerous. Overly aggressive scripts can block converting queries that happen to have a bad week. They can add negatives that conflict with other campaigns. They can miss context that a human would immediately recognize.
Self-serve tools like Optmyzr and Adalysis provide negative keyword suggestions, but the burden of implementation, review, and strategic judgment still falls on you. You are still doing the work. The tool just surfaces the data faster.
groas approaches negative keyword management as part of a fully managed Google Ads service, not as a feature you configure yourself. When you onboard with groas, your dedicated account manager audits your entire account, including every existing negative keyword list, identifying gaps, conflicts, and outdated exclusions.
From there, groas AI agents take over daily negative keyword management. They analyze search term data across all campaign types, including the limited data available from PMax and AI Max, and add negatives continuously based on performance signals. This is not a weekly batch process. It happens around the clock.
What makes this different from a script or a self-serve tool is the human layer. Your dedicated account manager reviews the strategic implications of negative keyword changes during bi-weekly calls. Should a borderline term be blocked or should you adjust bids instead? Should an entire category of queries be excluded, or should you build a new campaign to capture that intent? These are the decisions that require human judgment, and they are the decisions that separate good accounts from great ones.
The result is negative keyword management that is both more thorough and more strategically sound than what any agency, freelancer, or tool can deliver. AI handles the volume and speed. A real person handles the strategy. You do zero work.
In 2026, negative keyword strategy is one of the few remaining levers where disciplined advertisers can create meaningful separation from competitors. While most advertisers set up basic negatives at launch and forget about them, the accounts that win are the ones maintaining aggressive, continuously updated exclusion lists across every campaign type.
The challenge is that doing this well requires both scale (processing thousands of search terms daily) and strategic judgment (knowing which terms to block and which to redirect). Most agencies do not have the bandwidth. Freelancers definitely do not. Self-serve tools give you the data but leave all the work to you.
groas solves this by combining AI agents that manage negative keywords around the clock with a dedicated human account manager who ensures every exclusion decision serves your broader business goals. No other approach delivers this combination of coverage, speed, and strategic oversight.
If your negative keyword lists have not been updated in the last two weeks, you are leaving money on the table. If they have never been properly audited, the waste is almost certainly significant. groas provides a full hands-on audit within 24 hours of onboarding, including a complete review of your negative keyword strategy, so you know exactly where the gaps are and how to fix them.
Negative keywords are terms you add to your Google Ads campaigns to prevent your ads from showing when someone searches for those terms. They are one of the most effective ways to eliminate wasted spend by blocking irrelevant clicks from people who are unlikely to convert.
There is no universal number, but most well-managed accounts have at least 50 to 100 account-level negatives as a baseline, plus additional campaign-level and ad group-level negatives tailored to each campaign's intent. Ecommerce accounts often need 200 or more negatives across all levels. The right number depends on your industry, campaign structure, and how broadly you are targeting.
Account-level negatives block terms across every campaign in your account. Campaign-level negatives apply only to a specific campaign, allowing you to tailor exclusions to each campaign's intent. Ad group-level negatives provide the finest control, letting you sculpt traffic between ad groups within a single campaign. In 2026, the new campaign-level negative keyword feature makes it significantly easier to manage exclusions without relying on shared lists.
Yes, but with limitations. In 2026, you can apply account-level negative keywords that affect Performance Max campaigns, and you can request brand exclusions. However, you cannot add campaign-level or ad group-level negatives to PMax directly. Visibility into PMax search terms is also limited compared to standard Search campaigns. groas addresses this by having AI agents continuously monitor PMax search term insights and proactively add account-level negatives, with a dedicated human account manager reviewing every strategic decision.
For high-spend campaigns, review search term reports at least weekly. For lower-spend campaigns, bi-weekly reviews are the minimum. The reality is that most agencies and freelancers only review search terms once or twice a month, which allows weeks of wasted spend to accumulate. groas AI agents analyze search term data 24/7 and add negatives continuously, eliminating the gap between when an irrelevant query appears and when it gets blocked.
Negative keywords apply to AI Max campaigns, but there is a known conflict with URL expansion. When URL expansion is enabled, Google's AI can match your ads to queries related to pages on your website that you did not specify in your campaign. In some cases, negatives may not fully prevent these expanded matches. The recommended approach is to disable URL expansion for campaigns where tight query control matters and maintain aggressive account-level negatives as a backstop.
Overly aggressive negative keyword lists can restrict your reach and block queries that would have converted. This is why automated negative keyword scripts without human oversight can be counterproductive. The ideal approach combines AI-driven identification of irrelevant terms with human strategic judgment to avoid over-exclusion. groas delivers exactly this: AI agents handle the volume and speed of negative keyword additions, while your dedicated human account manager ensures no valuable traffic is accidentally blocked.
Universal negatives that apply to nearly every advertiser include: free, jobs, careers, salary, internship, DIY, tutorial, how to make, reddit, quora, youtube, torrent, download, sample, template, and course. Beyond these, every business needs industry-specific and campaign-specific negatives based on their products, services, and target audience.
