"Over the past year, Google has significantly accelerated its investment in artificial intelligence and machine learning across its products and platforms. While most marketers are familiar with ChatGPT, Google has been advancing its own AI capabilities in parallel, including the relaunch of Bard as Gemini and the steady rollout of AI-assisted features across Google Play. For app marketers and ASO specialists, these developments are not abstract. They represent a fundamental shift in how apps are understood, categorized, and surfaced to users."
"The Google Natural Language provides valuable insight into how Google interprets app metadata, including entities, sentiment, and category relevance. Optimizing for category confidence and entity relevance can improve keyword coverage and resilience during algorithm updates. ASO teams that align metadata with user intent and natural language patterns are better positioned for long-term discovery performance. Using tools like the Google Natural Language helps future-proof ASO strategies as automation and AI-driven ranking signals continue to expand."
Google has accelerated investment in artificial intelligence and machine learning across its products and platforms, advancing capabilities like Bard/Gemini and AI-assisted features in Google Play. Google Play is shifting from keyword matching to semantic understanding of apps, their functionality, and the problems they solve. If Google increasingly generates, interprets, and evaluates app metadata, ASO teams risk losing control and differentiation. The Google Natural Language API can reveal how Google interprets app metadata, including entities, sentiment, and category relevance. Optimizing metadata for category confidence, entity relevance, and user intent improves keyword coverage, resilience to algorithm updates, and long-term discovery performance.
Read at Neil Patel
Unable to calculate read time
Collection
[
|
...
]