Google’s experimental generative AI search feature within Google Maps seems to be reaching more users. Announced in February, this tool aims to change how people find interesting places by providing personalized recommendations based on a vast database of information. However, early reviews suggest that the feature may still need some polishing.
According to Google, generative AI leverages large language models (LLMs) to understand natural language queries and analyze Google Maps’ massive repository of businesses, photos, reviews, and ratings contributed by the community. This, in theory, allows for tailored results far beyond the capabilities of standard keyword searches. For example, you could ask for “places with a vintage vibe in San Francisco” or “steakhouses for dinner in Monterey,” the results will include follow-up questions and even consider factors like weather.
However, based on early reviews, this is far from the truth. The initial rollout has drawn mixed reactions. Artem Russakovskii, founder of Android Police, expressed disappointment, citing failure to perform simple tasks like planning for a day. Others have also echoed this sentiment on social media, noting that the AI component doesn’t seem fundamentally better than traditional Google Maps or general Google searches. Concerns about AI generating inaccurate or non-existent places have also surfaced.
Speed appears to be a notable weakness, with users like Johanna Romero of Phone Arena reporting slow processing times for recommendations. Some users find the generative AI search results to be limited, potentially missing out on well-reviewed spots compared to a standard Google Maps search.
The potential and Google’s stance
The promise of personalized discovery powered by AI remains exciting. However, given its experimental nature, it is bound to have some of the issues users are experiencing. As more users gain access, their feedback will be crucial to refining its capabilities.
If you’re curious about the future of search within Google Maps, this generative AI experiment is worth exploring. Keep in mind that the feature might be inconsistent in its current form. By providing feedback, you can contribute to shaping the way people discover new places through Google Maps. But before jumping into generative AI search on Google Maps, take note of the following:
Generative AI: This technology can creatively generate text and answers, but results may occasionally be inaccurate or misleading.
Experimental feature: Google is transparent about this being under development. Patience and providing constructive feedback will be key for users who want to see it improve.
Traditional Google Maps: For reliable navigation and well-established search tools, you can always rely on Google Maps’ standard features.
Besides generative AI, Google is also rolling out Android’s system share sheet and Gemini direction prompts to Maps users.
