AI Max for Search Campaigns expands query matching using contextual intent models that go significantly beyond traditional broad match.
Without structured negative keyword management, AI Max serves ads on queries that were never part of your targeting intent.
Why AI Max Requires Different Negative Management
Traditional broad match expanded within recognizable semantic territory.
AI Max uses contextual signals — user intent, session context, behavioral patterns — to match queries your keywords would never have triggered.
The first month of Search Terms data after enabling AI Max typically contains queries that require immediate negative exclusions.
The Four Exclusion Categories
Competitor brands (account-level exact match):
Add competitor brand names, product names, and common variations.
Without this, AI Max matches your ads to users explicitly searching for a competitor.
Job intent:
Careers, jobs, salary, "how to become," job description, hiring.
High impression volume, zero commercial value.
Educational intent:
"What is," "definition of," "history of," "how does X work."
Unless you specifically target awareness, these queries generate traffic that does not convert.
Free intent:
Free, open source, no cost, free trial (if your product is paid), DIY.
Intent does not match paid product.
Building a Shared Negative List
Create a dedicated shared negative keyword list in Google Ads > Tools > Shared Library > Negative keyword lists.
Name it clearly (e.g., "AI Max Exclusions").
Apply it to all AI Max-enabled campaigns.
Update monthly based on Search Terms data. AI Max query expansion patterns shift over time — one-time setup is not sufficient.
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