Claim
Keyword position reporting is measuring a construct that is dissolving. Google has crossed into genuine context-aware personalization: the same query returns different results for two people in the same neighborhood at the same moment. There is no longer a single stable position to rank for.
Mechanism
Google uses two decades of behavioral data to serve personalized results. Personalization currently lives inside Gemini and will expand to AI Mode, then AI Overviews, then all search surfaces. A keyword-position metric reports a statistical aggregate of an increasingly fragmented distribution. As personalization deepens, that aggregate becomes less representative of any individual user's experience. The construct being measured, position for a given query, is losing its referent.
Conditions
Holds when: Google continues expanding context-aware personalization across more surfaces. The trajectory is confirmed; the pace is not publicly disclosed.
Fails when: personalization rollout stalls, or Google introduces position-reporting tools that account for personalization variance.
Evidence
Schwartz argues Google has already crossed the threshold:
There is no longer a single stable answer to rank for.
Personalization is active in Gemini-powered surfaces and tracking for expansion to AI Mode and AI Overviews. A dashboard showing "position 4 for [query]" is reporting one user's experience, not a market-level fact.
Signals
- Position-tracking tools return inconsistent results across runs for the same query from the same IP
- Keyword position metrics show low correlation with actual traffic from corresponding queries
- Clients in the same target market report different search result orders for identical queries
Counter-evidence
Google has not formally confirmed position personalization as a broad policy for non-logged-in users. Some practitioners argue personalization applies primarily within logged-in sessions, leaving anonymous searches more stable. Personalization depth varies by query type.
Cross-references
- [[ins_aeo-citation-rotation-makes-snapshots-worthless]] — Solis's prior card on citation counts rotating week-to-week: point-in-time snapshots are noise
- [[ins_rebaseline-quarterly-not-pin-to-snapshot]] — on avoiding static snapshots in fast-moving AI contexts
- [[ins_aeo-three-layer-presence-readiness-impact]] — Solis's three-layer AEO measurement framework as a more durable alternative