The question I get most from enterprise teams is whether AI search is just SEO with a new name. It isn't. The overlap exists but it's smaller than the marketing suggests.
Where they diverge
Traditional SEO measures position on a results page. AI search measures inclusion in a generated answer. You can rank first on Google and be absent from ChatGPT's response to the same query. The inverse is also true.
This happens because the systems weight signals differently:
- Google rewards crawlable structure, backlink authority and engagement metrics
- AI models reward semantic clarity, entity consistency and citation-worthiness of the underlying content
What this means for measurement
If you're tracking only rankings and organic traffic, you're missing a growing share of demand. AI answers now appear in 40% of informational queries in Australia. That's traffic that never hits your analytics.
The fix isn't to abandon SEO. It's to measure both. I use share-of-voice tracking across traditional SERPs and AI platforms to get a complete picture of visibility.
The practical takeaway
Start by auditing your top 20 commercial queries across both Google and ChatGPT/Perplexity. Note where you appear in one but not the other. That gap is your opportunity.