The functional difference
AI Overviews are a SERP feature: the AI summary appears at the top of a normal Google results page, and the user can scroll past to see traditional ranked results. AI Mode is a separate experience: the user enters a conversational interface where there is no traditional SERP, only the generated answer plus citation cards, and they can ask follow-up questions within the same session.
Operationally this changes how users research. In AI Overviews the user reads the summary then often scrolls to verify; in AI Mode the user has a multi-turn conversation, refines their question, and frequently never visits a traditional ranked page at all.
What this means for SEO
In AI Mode, the unit of competition is no longer a ranked URL on a single query — it's being cited across the cluster of related queries a buyer asks within a session. Sites that win in AI Mode have deep topical clusters where the same brand gets cited across multiple turns of the conversation, not just on the seed query.
Click-through rates from AI Mode citations are materially lower than from traditional top-3 organic — typically 1–4% versus 15–35%. The compensating value is brand exposure: cited brands tend to see 20–60% year-over-year brand search lift even when the citation doesn't drive an immediate click.
How to optimise for AI Mode specifically
Five practitioner moves that reliably move AI Mode citation rate: build deep topical clusters (8–20 interlinked pages per topic), front-load definitional answers in the first 1–2 sentences of every page, deploy Article + Person + Organization schema with sameAs entity links, strengthen brand entity signals (Wikidata, schema, third-party citations), and track citation rate via systematic prompt testing instead of traditional rank tracking.
Most of these are extensions of good SEO practice rather than parallel work. The exception is citation-rate tracking, which requires running fixed buyer-intent prompt sets weekly through AI Mode and recording which sources get cited — a workflow that replaces traditional rank tracking as the leading indicator of AI search performance.