Google’s AI Overviews are meant to make search results faster to understand. In Hindi, the feature is showing why local-language AI search needs more than translation: it needs accuracy, context and consistent handling of everyday questions.
Hindi support arrived with visible gaps
Google introduced Hindi support for AI Overviews in India earlier in August. Users in India can also switch between Hindi and English without leaving the search page, which should make the feature more useful in a country with major language diversity.
But early examples showed a feature that can behave unpredictably. A question from Google’s own blog asked, “Cheeni ki jagah chai mai kya daal sakte hai?” The meaning is simple: “What is a substitute for sugar in tea?”
When the same idea was tested with the words reordered as “Chai mai cheeni ke jagah kya daal sakte hai?”, Google did not show an answer. That matters because real search queries are messy. People do not always phrase a question in the same order, especially when mixing everyday speech with search behavior.
Translation mistakes can change the meaning
Some of the most noticeable problems came from literal or awkward translation. When asked in Hindi, “What k ind of food can we eat du ring summer?”, one AI Overview answer included “Chiknai wali cheezien,” which translates to “Sticky things.”
When the same result was viewed in English, Google showed “Oily” as an option. For food advice, “sticky” and “oily” do not mean the same thing. The source article also notes that the suggestion itself was strange either way.
Another example involved YouTube’s ownership. In Hindi, AI Overviews said “Until 16 February 2023, Neal Mohan was Google’s CEO,” which is incorrect. The English text gave the correct version: “As of 16 February 2023, Neal Mohan is Google CEO.”
That is not just a style problem. A small change in wording can reverse the meaning of a sentence. In a search product, that can turn a basic factual answer into misinformation.
Some answers were poorly ordered or inconsistent
Quality issues were not limited to direct translation. When asked, “When is Diwali this year?”, the feature did not immediately provide the expected answer. It first showed a paragraph about last year’s Diwali, then a carousel of links, and only after that gave the answer being requested.
That kind of ordering can make a simple search feel less direct. AI Overviews are supposed to reduce friction, but if the answer is buried below less relevant material, the summary is not doing its job.
There were also inconsistent responses. When asked whether someone can eat food with spices, in both Hindi and English multiple times, AI Overview returned inconsistent answers.
The pattern is important: the issue is not one isolated bad result. The examples point to a system that can shift depending on phrasing, language and source interpretation.
Health and life advice raise higher stakes
The more concerning examples involved topics such as menstruation and pregnancy. In response to a question about when someone should think about having kids after marriage, the first paragraph of the AI Overview said couples should wait for at least two years, in confusing Hindi.
It also said that if someone gets married around the age of 25, they have “three years” without explaining what those three years refer to. According to the source article, this paragraph appeared to come from a slideshow article in Hindi on an Indian news site, which had based the information on various opinions on Quora and other blogs.
For a question about what food to eat when someone is menstruating, some answers suggested “Drinking milk with many things” and lemon for mood swings. These examples show how a summary can amplify weak or unclear source material when the system decides it is suitable for an AI-generated answer.
Context is as important as wording
AI Overviews also missed context in a local search example. When asked about food places in Delhi, it suggested that Bangla Sahib Gurudwara, a place of worship for Sikhs, is open round the clock and that users can get tea and Indian snacks like Samosa and Kachori.
The issue was not simply the mention of food. The source article had said those items were available outside the Gurudwara. By leaving out “outside,” the AI summary changed the practical meaning. It suggested the snacks were in the place of worship, when the important location detail was actually outside it.
That example captures a broader challenge for AI search. Summarization is not just about shortening a page. It also has to preserve the words that carry the meaning.
Google says the system relies on search quality
Google told TechCrunch that AI Overviews appear only when the company has high confidence in output quality. The company said the feature is “rooted in our core search quality systems” and will “only show information that’s backed up by top web results.”
A Google spokesperson also told TechCrunch: “Our tests show that the accuracy rate for AI Overviews is on par with other features like Featured Snippets. When issues arise, they may be the result of our systems misinterpreting web content or reflecting inaccuracies on the web — and we use these examples to improve, as we do with all Search features,”
That explanation points to a real problem with web sources. But Google’s system still decides which queries deserve an AI Overview and which sources should be summarized. Not all users will click through to source sites before trusting what appears in Google Search.
AI Overviews has already faced criticism. Earlier this year, it surfaced answers from Reddit telling a user to add glue to pizza. It also told another user to eat “one small rock per day,” based on an answer sourced from The Onion.
India has more than 830 million internet users, and many use Google for search. If Google wants AI Overviews to work well in local languages, the Hindi version needs stronger language handling, better context and more dependable content accuracy.