Slides from my talk at the WAN-IFRA Bangalore AI Forum, where I talk about the impact of Google's AI Overview on search and what we can expect from generative AI search engines in the near future.
own ‘Gemini’ Large Language Model • ‘Multi-step reasoning capabilities’ • But... not 100% accurate; ➢ All LLMs ‘hallucinate’ – make things up ➢ It’s because they’re not ‘real’ AI ➢ LLMs are super-advanced word predictors
least 1 cited source link; ➢ Every segment in an AI Overview will have a source link ➢ Average number of cited links: 6 -Sidebar on Desktop, carousel on Mobile ➢ Most cited links are pages ranked on the 1st page
Overviews do not rank on the 1st page of Google’s regular results • AI Overviews cast a broader net than regular Google results https://ziptie.dev/blog/state-of-ai-overviews-5-google- aio-disruptions-found-after-analyzing-500k-queries/
AI Overview sends less traffic to websites; ➢ Users find the answer directly in the AI Overview • The good news..? ➢ Other search engines may pick up some of the loss
used to train Google’s Gemini LLM: User-agent: Googlebot-Extended Disallow: / • Probably a good idea; ➢ Prevents your copyrighted content from being used
linked as a source in an AI Overview: <meta name="robots" content="nosnippet" /> • Probably a bad idea; ➢ Also impacts presentation in all other Google surfaces
Overviews are an evolution; ➢ There will be some traffic loss ➢ Focus on building strong brand signals • AI offers alternative ways to search ; ➢ Marketshares are small… so far ➢ Not yet worth focusing on ➢ But, be ready to pivot