Context
A 2026 study validates an engine-free GEO measurement protocol and re-tests influential 2023-era content interventions against ten modern engine families. Under its paired, volume-controlled harness, quotation addition, statistics addition and cite-sources do not increase citation on the evaluated modern engines.
What changed
Instead of assuming historical GEO effect sizes remain current, the study directly re-measures three early causal anchors on newer engine families and reports a near-zero modern anchor vector. It also separates query-agnostic content-quality scoring from query-conditioned citation prediction.
Why it matters
The result is evidence that GEO intervention effects should be versioned and periodically replicated rather than treated as permanent optimization rules. It also supports keeping content quality, query relevance and observed citation outcomes as distinct measurement layers.
Visibility OS interpretation
Visibility OS interprets this as a measurement result about intervention decay and query conditioning, not proof that quotations, statistics or citations never matter. The findings are bounded to the study design and evaluated engine families and do not establish production ranking factors.
What remains uncertain
Do the same intervention effects remain near zero under live-search retrieval rather than controlled candidate sets? How quickly do GEO effects decay after model or retrieval-stack changes? Which interventions affect retrieval admission versus downstream citation allocation?
Evidence claims
Under the paired, volume-controlled experiments reported in Scoring Without the Engine, quotation addition, statistics addition and cite-sources increased citation on none of the ten evaluated modern generative-engine families.
Related historical records
Research benchmarks citation-ranking models across ten LLM engines under controlled retrieval
That record builds on this event.