BrandWell AI detector (formerly Content at Scale)

Two records in the studies index tested the tool as Content at Scale. Weber-Wulff 2023 ran 54 documents through 14 detectors between March 7 and 28, 2023 and placed Content at Scale last: 18 of 54 documents correct, 33% binary accuracy, rank 14 of 14, and 370 of 864 points, 43%, on the logarithmic method (arXiv 2306.15666, Tables 5 and 8, read 9 November 2026). It made 0 false accusations in 18 human documents (Table 9) because it called everything human: all 36 AI documents went undetected, 100.0%, the only tool in the study to miss every one (Table 10). The authors write that "Content at Scale misclassified all of the positive cases; these results in combination with the 100% correct classification of human-written documents indicate that the tool is inherently biased towards human classification and thus completely useless." The free tool at the time took 25 words to 25,000 characters (Table 2).

Walters 2023 tested 16 detectors on 126 undergraduate literature reviews between June 25 and July 12, 2023 and recorded Content at Scale at 71% of documents correct, 13% incorrect and 15% uncertain (DOI 10.1515/opis-2022-0158, Table 4, read 9 November 2026). On the 84 AI papers it was 63% correct and 15% incorrect; it was 74% correct on the 42 GPT-3.5 papers and 52% on the 42 GPT-4 papers; and it called 10% of the 42 human papers AI, the fourth highest false positive rate in the study. Walters writes that "the many false positives for SEO.ai and Content at Scale reflect their general tendency to declare that text is AI rather than human", the opposite tendency from the one Weber-Wulff recorded four months earlier, which is the clearest sign on the index that a detector's behaviour in one spring describes that spring.

The card's rank fields take the lowest study false positive rate, 0% of 18 in Weber-Wulff 2023, and the lowest study miss rate, 15% of 84 AI papers in Walters 2023, with the 100% of 36 from Weber-Wulff quoted beside it. No vendor accuracy figure exists to set against either study, so no claim gap is computed.

Pegoraro 2023, added 9 November 2026 as the third record, ran 20 detection methods on a ChatGPT and human question-and-answer benchmark in March 2023 and records the tool, tested as Content at Scale, at a 38.4% true positive rate on ChatGPT responses and a 79.8% true negative rate on human responses, the second-lowest true negative rate in the sweep (arXiv 2304.01487, Table I, read 9 November 2026); no ranking field takes a value from the printed rates.

BrandWell appears in four rankings, read 9 November 2026 in the data file. AI detectors ranked by independent studies counts its 2 records; false positive rates sorts on the 0% of 18 human documents, a figure that sits beside a 100% miss rate in the same study; false negative rates sorts on the 15% of 84 AI papers from Walters 2023; and languages lists its stated 1. The 10,000 characters per check on the Moxby Mod qualifies the card for maximum input per check.

The card is absent from the robustness ranking, which takes no value from Weber-Wulff 2023's per-class counts, from the free tiers ranking, which needs a monthly figure, and from detectors with an API, which needs documented access. Every detector card on the register shows the same fourteen fields, so the detector that scored 33% in one 2023 study sits beside the detectors that scored 76% on the same 54 documents.