If you look at search behavior around AI Mode, one pattern dominates the entire landscape: people are actively trying to figure out how to control it.
Users struggle to find and understand how to enter and exit. The interface lacks clear cues, making it hard to know when AI Mode is active and how to return to traditional search.
What People Really Want to Know About AI Mode
Keyword intent patterns from 10,000+ searches
Layer 1: UX Confusion Zone
Disable / Remove / Turn OffLayer 2: The Onboarding Gap
Understand & ActivateLayer 3: The Skeptical Shopper
Compare & EvaluateSwitching between conversational answers and regular search is confusing. Some users get lost in the AI interface, with no clear paths back to familiar search results.
Follow-up prompt suggestions and conversational elements can feel unfamiliar or distracting to users accustomed to keyword-based search. This can lead to uncertainty about when the AI is doing work and how to control it.
The single highest-volume query related to searches in Google containing AI Mode, “how to turn off AI Mode on Google,” gets about 1,200 monthly searches in the U.S. (All data here is from ahrefs.com).
Across all its variations (“remove,” “disable,” “get rid of,” “turn off”), troubleshooting queries make up the majority of AI Mode searches.
On the surface, this looks like rejection. The data doesn’t show that people hate AI. It shows that they’re uncertain about how it works and how or whether they ever activated it.
Layer 1: The Control Crisis
Dominant intent: Disable / Remove / Turn Off
This group is by far the largest. Queries like:
• how to turn off ai mode on google : 1200
• how to remove ai mode from google : 800
• how to get rid of ai mode on google : 700
• how to disable ai mode on google : 600
• how do i turn off ai mode : 450
• how to turn off ai mode : 450
…and dozens of similar variations
Together, these make up the clear majority of all AI Mode–related searches.
But the reasoning isn’t “I dislike AI.” It’s more often:
“Why is my phone doing something I didn’t ask it to do?”
“Why am I seeing these flashing AI Mode buttons?”
“Why is this mode showing up in my settings?”
So they turn to Google, not because the feature is bad, but because the state of the feature isn’t visible.
Layer 2: The Onboarding Gap
Dominant intent: Understand & Activate
The second-largest group (also sizable) includes queries like:
• what is ai mode : 1000
• what is google ai mode : 500
• what is ai mode in google : 300
These are trying to learn what the mode is and what value it provides.
This is a classic onboarding problem. A user sees a label in settings, a notification, or a camera toggle, but doesn’t understand:
• What it actually does
• When they should use it
• Why it matters
This is where product adoption breaks. If the interface doesn’t explain the feature’s benefits, the user won’t explore it.
The reality is simple: Users are curious, but the product hasn’t met them halfway.
Layer 3: The Skeptical Shopper
Dominant intent: Compare & Evaluate
These users search for:
• how to use google ai mode : 100
• how to rank in ai mode / google ai mode : 90–70
• is ai mode safe
• what is pure mode in poly ai (not Google-specific, but signals a mindset)
The phrasing indicates evaluation, not fear. They’re weighing:
“Is this worth turning on?”
“Is AI Mode better than normal mode?”
“Does this affect performance?”
These users treat AI as a trade-off. They don’t assume that AI is always the upgrade. They want to know what they gain, and what they give up.
This is the smallest layer, but it’s also where high-intent adoption happens.
The Real Takeaway: Adoption Requires Control
If users repeatedly search for how to “turn off” a feature, the answer isn’t to bury the settings. It’s to surface them.
Users calm down when:
• They know what the feature does
• They know when it activates
• They know how to turn it off
• They believe they’re in control
The irony is powerful, and supported by the data: The best way to keep users in AI Mode is to make it completely obvious how to toggle to and from it.
Clarity reduces anxiety.
Control builds trust.
Trust drives usage.
When users feel in control, the “panic” queries drop, and the learning-oriented queries rise.
Explore the complete interactive visualization above to see how each keyword clusters into these intent patterns and what this reveals about how users understand, or misunderstand, AI Mode.
