Solis: Google report on AI Mode Usage in the US
- 26. Mai
- 1 Min. Lesezeit
Key Takeaways:
Google published a report regarding AI Mode usage based on Google Trends keyword data
The average AI Mode query is 3x the length of a traditional Search query. Keyword research now needs to be complemented with prompt, task, constraint and scenario research.
Follow-up queries in AI Mode have increased by more than 40% on average per month in the U.S. Aleyda states: Brand visibility can't be analyzed only at the first prompt anymore: a brand might be mentioned, dropped, compared, misrepresented or never cited across the journey.
Currently, more than 1 in 6 queries are non-text
Follow-up store queries include "near me", "in stock", "replacement parts", "car dealerships with financing". AI systems need to understand location, inventory, services and constraints to satisfy these.
Aleydas take:
Don't confuse Google's usage narrative with independent performance data. There's a behavioral shift and Google has every incentive to frame it favorably for its own ecosystem.
For SEOs and marketers, the practical next step isn't to replace SEO fundamentals. It's to expand how we research, optimize and measure:
From keywords to prompts, tasks and constraints
From rankings to presence, citations and representation accuracy
From single queries to follow-up journeys
From content-only optimization to entity, product, local and feed-level readiness
From observed traffic to a more nuanced view of visibility and influence
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