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Google’s AI Overviews Reshape SEO, Prompting New Strategies for Digital Visibility

Google’s rollout of generative AI Overviews is transforming search engine optimisation (SEO), compelling businesses to adapt strategies to maintain online visibility.

By Timmy

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The AI-powered feature delivers concise summaries at the top of search results, often resolving user queries without requiring clicks to external websites. This shift towards “zero-click searches” could reduce organic traffic, particularly for informational content like guides or listicles. A study by digital marketing firm Firebrand estimates a potential 20-50% traffic drop for some B2C websites.

The technology excels at addressing complex, conversational queries – such as “top hiking trails in Singapore with difficulty ratings and public transport access” – driving a shift towards long-tail, question-based keywords. Google’s emphasis on Expertise, Experience, Authoritativeness, and Trustworthiness (E-E-A-T) prioritises high-quality, people-first content for inclusion in AI Overviews, offering visibility for credible sources.

However, not all websites benefit equally. Up to 80% of sources cited in AI Overviews may not rank organically, indicating traditional SEO rankings are no longer the sole path to prominence.

To adapt, experts recommend optimising for conversational queries, using structured data like Schema Markup to enhance discoverability, and ensuring robust technical SEO, such as fast-loading, crawlable websites. Comprehensive, evergreen content – such as in-depth guides or thought leadership pieces – is critical to securing a place in AI-driven results.

Businesses are also diversifying traffic sources, turning to paid ads, social media, and email marketing to offset potential losses. AI Overviews’ semantic search capabilities can boost engagement for brands demonstrating topical authority, particularly in competitive markets like the Asia-Pacific.

As Google refines its AI capabilities, the SEO landscape will likely evolve further. Businesses must balance leveraging AI tools for efficiency – such as drafting metadata – with human oversight to maintain authenticity and avoid penalties for low-value content.

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