They can look identical from the typing box. What happens after you hit enter is a different operation entirely.
Short answer
No. A search engine retrieves and ranks content that already exists somewhere; a generative AI tool creates new content that did not exist in that form before your question, by predicting what should come next rather than looking anything up. Canada’s Canadian Centre for Cyber Security draws exactly this line in its own guidance.
The federal government’s own cyber-security guidance is precise about this distinction. It defines the category directly: “Generative AI is a type of AI that generates new content by modelling features from large datasets that were fed into the model”, and it contrasts that directly with the older category: “While traditional AI systems can recognize patterns or classify existing content, generative AI can create unique content in many forms, including text, image, audio or software code”. A search engine sits closer to that older category — it classifies and ranks pages that already exist and hands you a list of them. A generative tool assembles an answer word by word that may never have existed as a written sentence anywhere before you asked.
A search result comes with a built-in check: you can click through and read the source page yourself. A generated answer doesn’t carry that same built-in trail, which is exactly why the Cyber Centre’s guidance goes on to warn that AI outputs can be incorrect, can be biased, and may not account for factors a person would catch — and it tells users plainly: “You should always be aware of and validate your sources to verify whether the content being presented is accurate”. That instruction only makes sense if the tool is doing something other than handing you a link to a source someone else wrote.
In practice, plenty of tools now combine both operations — retrieving real, current pages first, then generating a written summary of what they found, an approach sometimes called retrieval-augmented generation. That hybrid is genuinely closer to search, because the output is at least anchored to specific, checkable pages. A tool with no retrieval step is generating purely from what it learned during training, with no live source to check at all. See how machine learning, AI and deep learning actually differ, and for the marketing side of this question, Treadstone’s AI Growth & Marketing hub covers how customers are increasingly finding businesses through AI answers rather than a list of search results.
If people are asking an AI tool instead of searching, the mechanics of how it answers matter to your visibility.
