Google AI Mode vs ChatGPT vs Perplexity: how they differ

Details change frequently; this reflects the products as of October 2026.

For broad research where you want to open and compare many sources, AI Mode benefits from Google's index and shows many links. For a quick answer with sources you can verify immediately, Perplexity's numbered citations are the most transparent. For turning research into something, such as a comparison table from several vendors' pricing pages or an analysis of your own data, ChatGPT is the most capable. Accuracy depends more on the sources retrieved than on the product; check citations for anything important.

Each product retrieves from a different index or search provider, applies its own ranking of sources, and uses a different model to write the answer. ChatGPT also personalises with memory and instructions. Run the same recommendation question in all three and the shortlist of brands often differs. That is normal, and it is why visibility has to be measured per engine.

For AI Mode, classic SEO matters most: pages need to be indexed and to answer the specific sub-questions Google fans a query into. For ChatGPT, allow OAI-SearchBot, make positioning explicit on your pages, and earn mentions on the review and comparison sources it retrieves. For Perplexity, allow PerplexityBot and keep pages current and specific; its citations make visibility directly measurable.

Use one prompt set across all three, run each prompt several times per engine, and record mentions, citations, and accuracy separately by engine. Report the rates side by side rather than averaging them, because buyers who use one engine do not see the others. SerionFlow's sampled visibility checks cover these engines; our free AI recommendation checker gives a single-prompt snapshot. SerionFlow is the wrong tool for comparing engines at scale; its checks are sampled for planning, and a tracker suits ongoing measurement.