Study: What Types of Keywords Trigger Google AI Overviews

Methodology

The test was run using Google Search in incognito mode to eliminate personalisation bias. Queries were deliberately chosen to span multiple search intents and formats, including:

• Informational (questions, guides, general knowledge)

• Comparisons (versus-style queries)

• Local intent (location-specific searches)

• Transactional (buying-focused keywords)

• Navigational (finding specific sites or brands)

For each query, I recorded whether Google displayed:

• An AI Overview (summary generated by Google’s AI)

• A Featured Snippet (traditional highlighted answer)

• Both

• Neither

Test Queries and Results

Observations

1. Informational queries dominate AI Overview triggers
   Google’s AI Overviews overwhelmingly appeared for informational searches, especially when the question had multiple possible answers, steps, or interpretations.

2. Factual queries don’t always trigger AI Overviews
   When did World War 2 end is a fact-based question with one correct answer, and Google opted not to use AI here, likely because a simple date is enough.

3. Local search is mixed
   For Best cafes in Parramatta for remote work, Google displayed a Featured Snippet instead of AI Overview. It suggests that for certain local-intent queries, Google still relies on traditional local SERP features.

4. Complex, multi-factor queries are more likely to trigger AI
   Topics like Cost and benefits of solar panels in Melbourne or Impact of AI on small business marketing in 2025 combine multiple angles and require summarisation, which appears to be a strong signal for AI Overview.

5. Transactional and navigational queries remain unlikely to trigger AI Overviews
   Early patterns suggest that if a query is purchase-focused (for example buy iPhone 15 Pro Max online) or aimed at finding a specific site (for example Facebook login), AI Overviews are far less common.

Theories Supported by Findings

• Informational Bias: Google is currently positioning AI Overviews primarily for research or learning moments, not shopping or site navigation.

• Ambiguity Factor: The more subjective or multi-layered a question is, the more likely Google is to surface an AI summary.

• Local Search Gap: Local queries often rely on Google Business data and map packs, which may explain why AI Overviews aren’t as frequent there.

• Content Richness Requirement: Queries that lend themselves to richer, multi-source content seem to attract AI summaries.

Why This Matters for SEO

For content creators and SEO professionals, this has major implications:

• Targeting AI Overview queries: Content that directly answers informational questions in depth has a higher chance of being included in these summaries.

• Diversifying formats: Since some AI Overviews also include images, lists, or step-by-step instructions, producing mixed-format content could increase visibility.

• Balancing strategies: While AI Overviews are growing, Featured Snippets and traditional SERP features still matter, especially in local and transactional search.

Conclusion

AI Overviews are not replacing all search results, but they are becoming a consistent feature for queries where there is no single right answer. This experiment supports the view that Google is using AI to bridge the gap between quick factual answers and deeper exploration.

SEO strategies in 2025 should take this into account, optimising for both AI Overview inclusion and traditional SERP dominance.