This submission uses insights from research at the ARC Centre of Excellence for Automated Decision-Making and Society and considers questions raised in the Australian Competition and Consumer Commission's Digital platform services inquiry issues paper. The submission specifically addresses the following questions:

• What are the most effective methods of sharing click-and-query data? How could the privacy and security risks associated with the sharing of click-and-query data be mitigated? 
• To what extent do consumer-facing LLM-based chatbots compete with general search services at present?
• How has generative AI been integrated into search engine services so far? In terms of their utility and effectiveness in finding information for consumers, how do they compare with general search services?
• Will the integration of generative AI into search engine services lead to new or additional monetisation strategies in general search services beyond an advertising-based model?
• How easily can digital platform services integrate with generative AI and expand into providing general search? Would such expansion have any impact on competition among general search services?
• How do consumers evaluate the quality of general search services?