Both ChatGPT and Perplexity AI operate as Large Language Models (LLMs), utilising sophisticated algorithms to generate human-like text based on prompts, but their approaches to information sourcing and presentation differ significantly, impacting business visibility.
- ChatGPT (GPT-4 Turbo now features): Excels at creative content generation – blog posts, social media copy, ad scripts – but relies heavily on its training data, which has a knowledge cut-off. Its ‘Browse with Bing’ function improves current information access.
- Perplexity AI (now features ‘Focus’ modes): Functions as an ‘answer engine’, directly citing sources for its responses. This is crucial for establishing credibility and avoiding misinformation, particularly important for Australian Consumer Law compliance.
- SEO Integration: Both platforms now offer limited API access for integration with SEO tools, allowing for keyword research and content optimisation suggestions.
As of early 2026, Google’s algorithms increasingly favour content demonstrating Expertise, Authoritativeness, and Trustworthiness (E-A-T). Perplexity’s source citations directly address E-A-T, potentially offering a visibility advantage. Current systems include Google’s ‘Helpful Content’ updates, penalising AI-generated content lacking genuine value or original insights. Australian businesses must also consider the ACCC’s guidelines on misleading or deceptive conduct when utilising AI-generated marketing materials. Optimising for local search terms and ensuring content resonates with the Australian market remains paramount.
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