Negative Keyword List AI Prompts for PPC Specialists
Every dollar spent on an irrelevant click is a dollar stolen from your campaign’s potential. Negative keywords are the mechanism that prevents this theft — they tell your PPC platform which searches should never trigger your ad. But most campaigns treat negative keywords as an afterthought: a list assembled hastily at campaign launch and rarely revisited. This approach leaves significant budget exposed to waste.
Building truly comprehensive negative keyword lists requires understanding not just your product, but the entire landscape of related searches that might look relevant but are not. This is a creative and analytical challenge, not just a data challenge. And it is exactly the kind of challenge where AI can amplify what a skilled PPC specialist can accomplish.
AI Unpacker provides prompts designed to help PPC specialists build comprehensive negative keyword lists systematically, identify waste patterns in existing campaigns, and maintain lists that evolve with search behavior and business changes.
TL;DR
- Effective negative keyword lists can reduce wasted spend by 15-30% in mature campaigns.
- Negative keyword research requires thinking from the searcher’s perspective, not just the marketer’s.
- AI can generate comprehensive lists of irrelevant search themes faster than manual brainstorming.
- Campaign structure determines how negative keywords should be applied (campaign-level vs. ad group-level).
- Negative keyword lists should be reviewed monthly, not just at campaign launch.
- Query mining from search terms reports is the most data-driven approach to negative keyword discovery.
- Broad match modifiers require more aggressive negative keyword strategies than phrase or exact match.
Introduction
Negative keywords are the defensive half of PPC strategy. While your targeting keywords capture intent, your negative keywords protect budget by filtering searches that might look promising but are actually time-wasted. A search for “free project management software” might seem relevant to your project management tool — until you realize that every click will bounce because you do not offer a free tier.
The challenge is that the space of irrelevant searches is vast and constantly expanding. New products, seasonal events, cultural references, and linguistic variations all generate searches that your keywords might inadvertently capture. No PPC specialist can manually enumerate all of these irrelevant search patterns. But AI can help you think through them systematically, applying structured reasoning to generate lists that would take hours to build manually.
This guide provides prompts for four core negative keyword challenges: building initial lists from scratch, auditing existing campaigns for waste, expanding lists with search theme analysis, and maintaining lists over time.
1. Building Initial Negative Keyword Lists
Starting a new campaign with a comprehensive negative keyword list prevents waste from day one. The alternative — launching clean and adding negatives as problems emerge — means accepting some damage during the learning period. Building the right list upfront requires systematic thinking about who your product is not for.
The Five Dimensions of Irrelevant Search
When you think about who should not click your ad, five dimensions emerge: price (people looking for free or cheaper alternatives), skill level (people looking for amateur vs. professional solutions), intent (people researching vs. ready to buy), format (people looking for information vs. software), and geography (people in regions you do not serve). Each dimension generates its own set of negative keyword patterns.
Prompt for E-commerce Negative Keyword List
Build a comprehensive negative keyword list for a PPC campaign selling premium running shoes.
Product context:
- Average selling price: $130
- Target customer: Serious runners (marathon training, competitive racing)
- Brand positioning: High performance, durability-focused
- Geographic targeting: United States only
Campaign structure:
- Brand campaign (protect brand terms)
- Non-brand campaign (compete on running shoe category)
- Product-type campaigns (trail running, road racing, daily training)
Tasks:
1. Generate negative keyword themes by category:
Category: Price-based negatives
- Searchers looking for free, cheap, discount, sale, coupon
- Searchers looking for budget alternatives under $50
- Searchers looking for kids' shoes (if you do not sell children's)
Category: Intent-based negatives
- Searchers looking for running shoe information, reviews, comparisons (not ready to buy)
- Searchers looking for DIY running shoe repair guides
- Searchers looking for homemade or custom running shoe making
Category: Skill/Use-case negatives
- Searchers looking for casual walking shoes (not running)
- Searchers looking for fashion sneakers (not performance)
- Searchers looking for wide-width only (if not in inventory)
Category: Format-based negatives
- Searchers looking for running shoe stores near me (local intent, if no local offering)
- Searchers looking for running shoe apps (if no app)
- Searchers looking for running shoe blogs, news, podcasts
Category: Brand comparison negatives
- Competitor brand names (if running separate competitor campaigns)
- Generic competitor phrases ("like Nike but cheaper")
2. For each negative keyword:
- Suggest match type (broad, phrase, exact)
- Note whether it should be applied at campaign or ad group level
- Flag any keywords that might be too aggressive (might block relevant traffic)
3. Structure the final list for import:
- Format as CSV with columns: Keyword, Match Type, Campaign, Ad Group, Status
- Group by category for easy management
- Include suggested priority ordering (apply highest-impact negatives first)
Total negative keyword count target: 200+ terms across all categories.Prompt for B2B SaaS Negative Keyword List
B2B SaaS campaigns face a particular negative keyword challenge: generic terms like “project management software” attract both enterprise buyers and small teams, and the two audiences have very different conversion paths. Negative keywords help you filter to your actual buyer while still capturing relevant search volume.
Build a negative keyword list for a B2B SaaS project management platform.
Product context:
- Target customer: Mid-market companies (50-500 employees)
- Typical deal size: $10,000-$50,000 annually
- Sales cycle: 30-60 days
- Target roles: Project managers, operations leads, department heads
- Product tier: Professional and Enterprise (no free tier, no solo/individual plan)
Campaign structure:
- Single non-brand campaign targeting project management software keywords
- Ad groups by primary feature: Gantt charts, task management, resource management, time tracking
Tasks:
1. Identify negative keyword themes:
Theme 1: Free tier / no-budget negatives
- Searchers looking for free project management tools
- Searchers looking for freemium products
- Searchers looking for open-source alternatives
Theme 2: Individual/solo negatives
- Searchers looking for personal task management
- Searchers looking for tools for freelancers with no team
- Searchers looking for solo project management
Theme 3: Enterprise overkill negatives
- Searchers looking for Fortune 500 enterprise solutions
- Searchers looking for custom/internal tools development
- Searchers looking for government or compliance-heavy verticals you do not serve
Theme 4: Competitor brand protection
- Negative keywords for your direct competitors (if not running competitor campaigns)
- Indirect competitors in adjacent categories
Theme 5: Non-converting intent
- Searchers looking for project management templates only
- Searchers looking for project management certification
- Searchers looking for project management jobs
2. Analyze overlap risks:
- "Free project management software" -- is this a negative or a positive? (Your position: exclude because no free tier)
- "Project management for small business" -- should you appear here? (Your position: exclude because target is mid-market)
3. Build the negative keyword list with match type recommendations:
- Broad match modifiers can be overly aggressive in B2B; prefer phrase and exact for precision
- Consider campaign-level versus ad group-level application
4. Document edge cases:
- Terms where you are uncertain whether to exclude
- Terms to revisit once you have conversion data
Include at least 150 negative keyword terms.2. Auditing Existing Campaigns
If you have an existing campaign that was not built with a comprehensive negative keyword list, you are likely bleeding budget on irrelevant clicks right now. The fastest way to identify this waste is to mine your search terms report for patterns of irrelevant searches that have already occurred.
Prompt for Search Terms Report Analysis
Analyze the following search terms report data to identify negative keyword opportunities.
Campaign: Non-Brand - Project Management Software
Date range: Last 30 days
Data columns: Search Term, Impressions, Clicks, Cost, Conversions, Avg. CPC, Conversion Rate
Search terms flagged for analysis (top 50 by spend):
1. "free project management software" -- 2,400 clicks, $4,800 cost, 0 conversions
2. "project management templates" -- 1,800 clicks, $3,200 cost, 0 conversions
3. "best project management apps" -- 1,600 clicks, $2,800 cost, 3 conversions, CPA $933
4. "project management for students" -- 1,200 clicks, $2,100 cost, 0 conversions
5. "how to manage projects" -- 1,100 clicks, $1,900 cost, 1 conversion, CPA $1,900
6. "project management certification" -- 980 clicks, $1,750 cost, 0 conversions
7. "monday.com alternatives" -- 950 clicks, $1,700 cost, 2 conversions, CPA $850
8. "asana vs trello" -- 900 clicks, $1,600 cost, 0 conversions
9. "project management for contractors" -- 850 clicks, $1,500 cost, 1 conversion, CPA $1,500
10. "notion project management" -- 820 clicks, $1,450 cost, 0 conversions
[TABLE CONTINUES WITH 40 MORE SEARCH TERMS]
Analysis tasks:
1. Segment search terms by negative keyword category:
- Zero-conversion high-cost terms (immediate negatives)
- Low-conversion high-cost terms (evaluate)
- Relevant terms that should not be negatives
2. Calculate projected annual savings from applying negative keywords to zero-conversion terms:
- If "free project management software" continues at this rate for 12 months, what is the annual waste?
3. Identify term patterns (not just individual terms):
- "How to [X]" pattern -- informational, not purchase intent
- "[Competitor] vs" pattern -- comparison shopping, may not convert
- "[Type] project management" pattern -- wrong audience segment
4. Recommend match types for each suggested negative:
- Should a broad match negative catch too much?
- Is phrase or exact more appropriate for this category?
5. Flag search terms that might warrant positive keywords instead of negatives:
- Terms with conversions that should be isolated in their own ad group
Output format:
- Immediate negative keywords (apply today): 15-20 terms
- Evaluate negatives (apply after 30 more days of data): 10-15 terms
- Positive keyword opportunities (create new ad groups): 3-5 terms
- Projected budget recovery from immediate negatives: $X annually3. Expanding Lists with Search Theme Analysis
Beyond analyzing your own data, you can proactively expand negative keyword lists by thinking through the broader themes of irrelevant searches in your category. This proactive approach prevents waste before it appears in your search terms report.
Prompt for Competitive Negative Keyword Mining
Generate a comprehensive negative keyword list based on competitive and adjacent product analysis.
Our product: Enterprise CRM software (B2B, $500+ monthly subscription)
Our target: Sales teams at companies with 50-500 employees
Task: Generate negative keywords based on:
1. Free/cheap competitor alternatives:
- Generate 20+ negative keywords around free CRM, cheap CRM, free alternatives
- Include variant match types for "crm free", "free crm software", "cheap crm"
2. Personal/individual use cases:
- CRM for individuals, personal CRM, CRM for freelancers
- CRM for small business (if you target mid-market and up)
3. Non-profit/educational discounts:
- Non-profit CRM, charity CRM, educational institution CRM
- "CRM for schools" / "CRM for churches"
4. Do-it-yourself / developer alternatives:
- Build your own CRM, custom CRM development
- Open-source CRM alternatives
5. Adjacent categories that might match broad CRM keywords:
- Contact management (simpler than CRM)
- Email marketing (often confused with CRM)
- Help desk / support ticketing
- Marketing automation (overlap with CRM but different buyers)
6. Competitor brand protection:
- "like Salesforce", "Salesforce alternative", "instead of HubSpot"
- Note: these should be tested carefully -- some may be legitimate research queries
For each category:
- Provide negative keyword + suggested match type
- Note any overlap risks (keywords that might block legitimate queries)
- Indicate priority (high/medium/low)
Include a section on match type strategy for this specific category:
- Why phrase match might be better than exact for competitor negatives
- When broad match modifiers are appropriate4. Maintaining Negative Keyword Lists
Negative keyword lists are not one-time projects — they are living assets that require ongoing maintenance. Search behavior changes, new products enter the market, and seasonal queries create temporary relevance that should be filtered. The teams that get the most from negative keywords are those that treat list management as a recurring process.
Prompt for Monthly Negative Keyword Review
Design a monthly negative keyword review process for a mid-size PPC account.
Account context:
- 15 active campaigns
- 500+ active keywords
- 3,000+ negative keywords
- Monthly spend: $150,000
- Team: 1 PPC specialist, shared with other accounts
Process design:
1. Data gathering (automate where possible):
- Search terms report from last 30 days
- Campaign performance by negative keyword (any negatives causing unexpected performance drops?)
- New search terms that converted (should any be added as positives?)
- Zero-impression negatives (are any negatives too restrictive?)
2. Review priorities for this month:
- Focus on campaigns with highest spend or lowest ROAS
- Identify seasonal or event-driven irrelevant queries from the last 30 days
- Check for new competitor brands to add as negatives
- Review any new product launches or company changes that affect targeting
3. Time allocation framework:
- 30 minutes: Data extraction and initial analysis
- 45 minutes: Apply new negatives from search terms report
- 20 minutes: Review and cleanup (merge duplicate negatives, remove overly restrictive negatives)
- 15 minutes: Documentation and stakeholder communication
4. Escalation criteria:
- What negative keyword changes require manager approval?
- What changes should trigger a conversation with the client?
- When should you recommend a pause rather than adding negatives?
5. Documentation:
- Create a change log template for negative keyword additions/removals
- Define what goes into monthly reporting on negative keyword impact
Include a one-page process checklist that can be followed without reading the full document.FAQ
How often should negative keyword lists be updated?
At minimum, review monthly. High-spend campaigns or campaigns in rapidly changing categories (e-commerce, seasonal products) should be reviewed weekly. The cost of an outdated negative keyword list is ongoing wasted spend.
Should I use broad match negative keywords?
Broad match negatives can be too aggressive and may block relevant traffic unintentionally. In most cases, phrase match or exact match negatives are more precise and safer. Use broad match negatives only for clearly irrelevant terms where the negative intent is unambiguous.
What is the maximum number of negative keywords per campaign?
Platform limits vary (Google Ads allows thousands per campaign), but practical limits emerge from manageability. Lists over 1,000 negatives become difficult to review and audit. If you are approaching this limit, consider campaign restructuring or using shared negative keyword lists.
Should I add competitor names as negative keywords?
This depends on your strategy. If you run competitor campaigns targeting competitor names, do not add them as negatives. If you do not run competitor campaigns, adding competitor names as negatives can protect against irrelevant clicks from people specifically searching for competitors. Test carefully — some searches for competitor names represent legitimate research behavior.
Conclusion
Negative keywords are not glamorous, but they are where disciplined PPC management pays off. The difference between a campaign with a comprehensive negative keyword strategy and one without can be 20-30% better ROAS.
AI Unpacker gives you the prompts to build those comprehensive lists systematically. But the strategic judgment — which negatives serve your business goals, how aggressively to filter, when to accept rather than block — that judgment comes from you.
Your budget is finite. Make sure every click that costs you money is a click that could have converted.