Google Ads’ recently launched AI Max is showing a surprising pattern: instead of respecting exact match or phrase match boundaries, the system appears to expand them, effectively turning them into broad matches.
That’s the conclusion of a new post by Mike Ryan, who analyzed one million AI Max impressions and found that the AI system “broad-matchifies” precise keyword types, sometimes matching them to competitor brand terms.
His findings suggest a significant shift in how advertisers should understand “keywordless” AI-driven Google Ads campaigns. But what does this really mean for performance, strategy, and brand protection?
Lets understand their statements, and the wider implications for advertisers who rely on keyword precision.
What Did the Study Reveal About AI Max’s Keyword Behavior?
The core finding from Mike Ryan’s analysis is clear: AI Max significantly broadens both exact match and phrase match keywords.
This happens because AI Max uses Google’s “keywordless” search term expansion technology, which is designed to find new relevant queries even if they don’t align strictly with the advertiser’s defined match types.
Ryan summarized it simply: AI Max “effectively ‘broad-matchifies’ exact match and phrase match keywords.”
His dataset of one million impressions allowed him to identify where Google Ads deviates from traditional matching rules.
Even advertisers who intentionally rely on narrow match types for brand control saw AI Max showing ads on terms that were related but often not intended, including competitor brand terms.
This behavior contradicts how many advertisers expect exact matches to operate, especially those protecting proprietary brand terms.
Why Is AI Max Expanding Exact and Phrase Match?
Ryan proposed a compelling hypothesis: Advertisers often use exact matches for their own brand terms, for instance, “[BrandName] shoes.”
AI Max interprets this as: Aha! Here’s a related search that’s broadly similar!
But that “related” term might actually be a competitor’s brand.
This suggests AI Max’s keyword expansion logic doesn’t fully distinguish between “brand category” and “brand identity.” Instead, it groups brand terms under broader intent categories such as:
- Athletic shoe brands
- Sportswear companies
- Shoes in a certain price tier
Therefore, exact match brand bidding becomes a launchpad for competitive keyword expansion.
This is a huge shift because historically, advertisers used exact matches largely to avoid competitive bidding unless intentionally chosen.
How Did the Data Confirm the Broadening Effect?
Ryan shared a chart illustrating match type impacts under AI Max. Though the image speaks for itself, his explanation clarifies the concept:
- The broad match remains unchanged because it is already fully expanded.
- Exact match and phrase match both become broader, meaning they behave less like their traditional definitions.
- Campaigns heavily reliant on exact matches see the strongest volume increases, aligning with Google’s own public statements.
This is consistent with Google’s official explanation, which Ryan quoted:
“Search term matching expands on existing keywords with broad match and keywordless technology to find more relevant and high-performing search queries.”
In other words, Google explicitly tells advertisers AI Max will expand terms. What Ryan’s study does is reveal the degree and impact of that expansion.
How Widespread Is the Expansion? What Range Did the Study Identify?
The study didn’t just reveal that expansion happens, it quantified it. Ryan examined typical ranges across campaigns and found:
- Exact match expansions account for 27% to 89% of AI Max impressions.
- Most campaigns average near 80% expansion.
- The variance depends heavily on two factors:
- keyword match strategy
- keyword search volume
This means advertisers with heavy exact match strategies especially low-volume or brand-heavy terms are more likely to see large expansions.
Put simply: If you rely on exact matches, AI Max will go hunting for more impressions.
Does This Behave Differently for Advertisers Using Mostly Broad Match?
Interestingly, broad match doesn’t change at all. According to Ryan:
“Broad match isn’t affected at all, because it’s already broad.”
He adds that in campaigns dominated by broad match, AI Max has fewer new impressions to discover, because broad match already captures most search intent variations.
So AI Max’s most dramatic shifts occur only when advertisers restrict themselves to exact or phrase match. In those scenarios, AI Max sees an opportunity to expand, reinterpret, and seek additional volume.
This aligns with Google’s marketing message: advertisers who rely heavily on exact match will see the biggest spike in traffic under AI Max.
Why Does AI Max Often Bid on Competitor Terms?
The study also sheds light on a phenomenon advertisers have increasingly noticed: AI Max showing ads on competitor brand searches.
This happens because:
- Advertisers define exact match for their brand
- AI Max identifies “related” queries
- Competitor brands are often semantically related
- AI Max expands to them, unless blocked
Ryan notes: This helps explain “the commonly observed phenomenon of AI Max bidding against competitor terms.”
This raises strategic concerns:
- Brand cannibalization
- Wasted budget on competitive categories
- Loss of control over brand bidding
Advertisers who once relied on exact match for precision may now need to implement stronger negative keyword strategies or reconsider AI Max altogether.
What Is Google’s Official Position on This Behavior?
Google has been transparent about AI Max using “keywordless technology,” but the full implications weren’t widely understood until studies like this one surfaced.
Google’s phrasing states:
“Search term matching expands on existing keywords with broad match and keywordless technology to find more relevant and high-performing search queries.”
To Google, expansion is a feature, not a side effect.
To advertisers, however, this can feel like a loss of control, especially for brand-sensitive accounts.
Is This the Future of Keyword Targeting in Google Ads?
AI Max represents a broader industry shift from manual keyword control toward AI SEO and AI-determined intent models. Google continues pushing systems like Performance Max, Demand Gen, and now AI Max, all of which reduce manual control in favor of machine-driven optimization.
This raises key questions:
- Are exact and phrase match becoming symbolic rather than literal?
- Will AI-based models eventually replace manual keyword match types?
- Are advertisers prepared for an era where intent replaces precision?
- Can brand safety coexist with AI-driven expansion?
Advertisers who value control may find AI Max controversial. Those optimizing for volume may welcome its expansion capabilities.
Key Takeaways
- AI Max expands exact and phrase match keywords, making them behave like broad match.
- Advertisers often end up bidding on competitor terms because AI Max interprets brand queries as broadly related.
- Exact match expansions account for 27% to 89% of AI Max impressions, with an average near 80%.
- Broad match remains unchanged, as it is already fully expanded and offers no new opportunity for AI Max to explore.
- Google confirms this behavior, stating AI Max uses “keywordless technology” to widen search term matching for more impressions.
Dipti Arora
AuthorDipti Arora is a Senior Content Writer with over seven years of experience creating impactful content across Digital Marketing, SEO, technology, and business domains. She has a strong background in managing news verticals and delivering editorial excellence. Dipti has contributed to leading publications such as The Times of India and CEO News, where her research-driven storytelling and ability to simplify complex subjects have consistently stood out. She is passionate about crafting content that informs, engages, and drives meaningful results.