Good writing alone is not enough. A page must pass each stage—access, discovery, retrieval, evidence selection, and answer use.
Research
See what we are investigating, where each study belongs, and how far it has progressed.
Research areas
AI discovery and citation
How pages become discoverable, retrievable, and usable as evidence in AI answers.
1 studiesContent structure and answer accuracy
Whether format and placement change factual accuracy and omission of important conditions.
2 studiesWe compare a conventional product description with a question-and-exception format to see whether factual accuracy and omission of conditions change.
We test whether AI omits conditions more often when exceptions appear at the end of a document rather than beside the relevant claim.
Brand meaning and customer choice
How intended brand meaning carries into AI recommendations and customer decisions.
3 studiesWe propose keeping the campaign intact, changing supporting explanations, and measuring human and AI responses separately.
Do not stop at whether the name appears. Read the reason for the recommendation.
AI recommendations and customer purchases must be measured separately.
Replication and synthesis
Whether an observed result persists across products and repeated studies.
2 studiesWe select one of the first two experiments using criteria fixed in advance and repeat the same procedure with five new products.
We review the results and counterexamples from weeks one to three alongside the status of earlier Lab experiments to define what the evidence supports.
Research questions are organised into four areas. Each item shows its plan, status, schedule, and linked result report.
Experimental findings
Published findings from completed experiments are collected in Reports.