Search results used to be a list of blue links, and an Indian shopper comparing a pair of running shoes or a kitchen mixer would scan those links, pick one or two, and go to a store. Google's AI Overviews, the generated summaries that now sit above traditional results for many queries, have changed that routine. For e-commerce sites in India, the question is no longer just "how do we rank?" but "what happens to our clicks when the answer appears before the link?" Understanding how AI Overviews affect click-through rates, and which product and content decisions help, is now a practical part of running an online store.

What Google's AI Overviews Actually Do

AI Overviews are short, synthesized answers generated by Google's systems and displayed at the top of some search results pages. They pull information from several web pages and present it as a summary, often with links to the sources behind it. Google has rolled them out gradually, and they do not appear for every query. Informational and comparison-style searches are more likely to trigger one than a simple brand or navigational search.

For e-commerce, the important detail is which kinds of queries trigger these summaries. Questions such as "how to clean a leather bag," "difference between RO and UV water purifiers," or "is a 5-star rated mixer worth it" are common candidates. Queries with a clear transactional intent, like a brand name plus a model number, are generally less affected. This distinction matters because a store's search traffic is rarely made up of one type of query. It is usually a mix of product searches, buying guides, troubleshooting questions, and brand terms, and each behaves differently when a summary is shown.

Google has publicly described AI Overviews as a way to help people get to the information they need faster, and says the summaries link to supporting web content. You can read Google's own explanations on its Search blog, which is the best place to check how the feature is described and how it is evolving, since its behaviour may change over time.

Why Click-Through Rates Can Drop

The basic mechanism is simple. When a summary answers the user's question directly, some users no longer feel the need to click through. A person who searches "how often should I service a water purifier" and reads a clear answer at the top of the page may never open a single website. For sites whose business depends on informational content, that is a direct loss of visits.

Many Indian e-commerce sites have built a large share of their organic traffic on exactly this type of content: buying guides, comparison posts, "best of" lists, and how-to articles that sit alongside product pages. These pages are often the entry point for customers who are still deciding. If an AI Overview answers the question before the reader reaches the page, the store may lose the top of its funnel.

That said, a drop in click-through rate is not the same as a drop in sales. Some visitors who do click after reading a summary arrive with a clearer intent and are closer to purchasing. Others were never going to buy in the first place. What matters is whether the traffic you lose was valuable traffic to begin with, and that is something most stores can measure in their own analytics rather than guess.

Measuring the Impact on Your Own Store

Rather than relying on general industry claims, the most useful step is to examine your own Google Search Console data. Search Console shows impressions, clicks, average position, and click-through rate for queries and pages. Compare periods before and after you notice changes in your rankings or traffic, and separate informational queries from transactional ones.

A practical way to start is to group your top 50 or 100 queries into categories:

• Brand and navigational queries: people searching for your store or a specific product name.
• Product queries: searches with commercial intent, such as "buy wireless earbuds under 3000."
• Informational queries: how-to, comparison, and explanatory searches.
• Troubleshooting and support queries: issues customers are trying to solve after purchase.

Once you have these groups, check where click-through rates have fallen. If the decline is concentrated in informational queries, the issue is probably summary-driven. If it is spread across product queries, the cause may be something else, such as competitor pricing, changes in ad placement, or a technical problem on your site. Attributing the drop to AI Overviews without this check is a common mistake.

It also helps to watch the referral and conversion data in Google Analytics. A smaller volume of informational visitors may still convert at a healthy rate, and that changes how much you should worry about the drop.

Adjusting Content Strategy for AI-Driven Search

Losing some informational clicks does not mean giving up on content. It means being more deliberate about what each page is for. Some practical adjustments are worth considering.

Write for the questions that still need a store

Some questions are answered easily by a summary, while others need specifics that a summary cannot give. A buying guide for "best mixer grinder for Indian cooking" is harder to fully answer in a few lines than "what is a mixer grinder." Focus your effort on content that depends on detail, like model comparisons, compatibility checks, pincode-specific delivery information, EMI options, return policies, and real usage notes drawn from your own support data.

Make your product pages useful on their own

If a shopper does reach your product page after reading a summary, they are looking for confirmation and decision-making information. Clear specifications, honest descriptions of who a product is good for, sizing or capacity tables, warranty terms, and visible customer reviews all help. Pages that load quickly on mobile networks, which many Indian shoppers use, also matter a great deal here.

Structure content so it is easy to cite

AI systems draw on pages that are clearly organised. Headings that match real questions, direct answers near the top of a section, and well-labelled tables make your content easier to extract and attribute. This is the core idea behind what some practitioners call Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). These are useful terms for thinking about the problem, but it is worth being cautious. Neither is a guaranteed method, and there is no reliable way to promise that a page will be selected for an AI Overview. Treat them as ways of thinking about clarity and structure, not as shortcuts.

Build a brand that people search for by name

Queries that include a brand name are less likely to be replaced by a summary than generic informational searches. Investing in brand recognition, through email, social channels, and repeat customers, reduces dependence on the top of the funnel. A returning customer who types your store name into search is a very different traffic source from a first-time visitor reading a generic guide.

Common Misconceptions

A few beliefs are circulating in the marketing world that deserve some scepticism. One is that adding a particular schema tag or formatting trick will reliably get your page featured in AI Overviews. Structured data can help search engines understand your content, but there is no published guarantee that it determines inclusion in summaries. Another misconception is that AI Overviews have made traditional SEO irrelevant. Technical health, crawlability, quality content, and relevance still underpin visibility. A third is that every site will see the same impact. The