We presented a generalised AHP technique to accommodate the proposed method of the extended AHP proposed by Suttipong et al. (2022) to prioritise and position the OTOP product for the elderly consumer market. This research presented the generalised formula for developing the extended methodology proposed by Suttipong et al. (2022) that can consider the different information of a selected group of information called latent factors. We generalise and use the matrix form and account for the consumer preferences collected from a different group of elderly consumers classified by the latent factor. This paper presented the generalised form of the extended AHP in which the stratum weights were aggregated and computed at the overall preferences of the OTOP product group. The accounting of the stratum can be used to improve planning and analyse consumer preferences. This generalised form helps the project planner apply the AHP extending across different sectors attributed to different latent factors such as consumer gender, age group, health condition and occupations.