To determine which image should be displayed for the Google Maps search feature, we should consider a number of factors. Firstly, we need to look at the relevance of the image to the search query. For example, if someone is searching for a specific restaurant, the image should be of that restaurant, rather than a generic image of the city or neighborhood. Secondly, we should consider the quality of the image. It should be clear and visually appealing, with good lighting and composition. Thirdly, we should look at the popularity of the image. This can be measured by the number of views, likes, or shares it has received. Images that are more popular are likely to be more relevant and visually appealing to users. Finally, we should consider the location of the image. It should be geotagged so that it is clear where the image was taken in relation to the search query. To evaluate these factors, we could use a combination of qualitative and quantitative metrics. For example, we could conduct user surveys and A/B testing to determine which images are most relevant and visually appealing to users. We could also analyze engagement metrics such as views, likes, and shares to see which images are most popular. Overall, the goal of our strategy would be to provide users with the most relevant, visually appealing, and popular images for their search queries, in order to enhance the user experience and increase engagement with the Google Maps search feature.