Optimizing Android App for SEO While Integrating AWS Amplify for Cloud Functions
Quick question that's been bugging me - I'm trying to configure I'm maintaining legacy code that Building an application that utilizes AWS Amplify for backend services, I’m also trying to ensure that our Android app is SEO-optimized. While I know the traditional SEO aspects for web applications, I'm unclear on how they translate to mobile apps. One approach I considered was using deep linking to enhance discoverability. For example, I implemented the following code snippet to set up deep links: ```kotlin val navController = findNavController(R.id.nav_host_fragment) navController.handleDeepLink(intent) ``` However, I’m unsure if this alone would improve our SEO metrics. Additionally, I’ve read about integrating structured data, but I’m not sure how that fits within an Android context. I attempted to add schema markup, but I'm struggling to see how it can be effectively incorporated into Android's native components. Currently, I’m leveraging AWS Lambda functions to serve dynamic content, but I’m worried this might affect performance, especially regarding loading speed which is crucial for SEO. I’ve tried caching responses in the app using Retrofit with OkHttp’s caching capabilities: ```kotlin val cacheSize = (5 * 1024 * 1024).toLong() // 5 MB val cache = Cache(context.cacheDir, cacheSize) val client = OkHttpClient.Builder().cache(cache).build() ``` While this helps a bit, the app still feels sluggish. I also wonder if optimizing the images delivered through S3 could impact load times positively. I read that lazy loading images can help, so I implemented Glide for image loading: ```kotlin Glide.with(this) .load(imageUrl) .into(imageView) ``` Is there a way to further enhance the SEO of my Android app while ensuring it performs optimally with AWS? Any best practices that you recommend or tools that could help analyze the SEO performance of a mobile app would be greatly appreciated! Cheers for any assistance! I recently upgraded to Kotlin LTS. Could this be a known issue?