The State of AI Citations
This methodology defines a combined view of two descriptive RankEcho data sources: citation observations from completed audit runs and fix-to-proof outcomes from re-tested prompts. Audit runs can differ in prompt panels, engine configurations, sample depth, dates, and repeat domains, so any rates shown in a completed aggregate are product observations rather than a representative industry benchmark.
No combined aggregate is available for this view. Citation figures are shown with at least 20 completed audit runs and 5 runs per industry row; outcome figures also require 25 measured prompts and 10 reportable wins. These are display rules for avoiding very small aggregates. Meeting them does not make unlike audit runs comparable, deduplicate domains, establish representativeness, or demonstrate statistical sufficiency.
What a completed aggregate records
- The average recorded brand citation rate across completed audit runs, with the run count beside it.
- A per-industry table — citation rate and off-site share — for industries past the display minimum; the rows remain descriptive because the underlying audit designs can differ.
- Fix-to-proof movement: reportable wins, the win rate over measured prompts, median days from shipping a fix to the first observed citation, and the distribution across neutral time-to-first-citation bands.
Cite this methodology: RankEcho, "State of AI Citations: methodology and display rules (no combined aggregate currently available)," Nexus Decision Systems LLC, 2026-11-01. https://rankecho.io/state-of-ai-citations
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Aggregate counts, rates, and medians only. This page never publishes domains, prompts, or customer-level results. Cross-audit rates are descriptive, and proof movement is an observed before-and-after change rather than a guarantee or causal claim.