AI Overviews and chat assistants answer more queries without a click. Which searches still send visits to Indian D2C brands, and where to invest so organic traffic keeps paying in 2026.
Every D2C founder in India has seen the same chart by now: impressions up, clicks flat or down, and a growing share of Google results that answer the question before anyone scrolls. The question in the title gets asked in every founder group and answered with either panic or denial. Neither is useful. This post tries to be specific about which traffic is actually at risk, which is not, and where the next rupee of effort should go.
We build and maintain Shopify storefronts for D2C brands, so what follows is drawn from what we see in analytics and search consoles, not from a survey. Where we do not know, we say so.
The honest answer: yes for some queries, no for others
AI search does reduce clicks, but not evenly. When Google shows an AI Overview or a user asks ChatGPT 'how do I clean silver jewellery at home', the answer is complete on the spot and the click that used to go to a blog post does not happen. That traffic was always low-intent; it was worth having for brand exposure and email capture, but it rarely converted directly. Its decline is real and mostly permanent.
Meanwhile the searches that lead to a purchase still need a page to purchase on. Nobody buys a pendant inside an AI Overview. The assistant can narrow the choice, but it hands the shopper to a product page at the end. That page is either yours or a competitor's, and the assistant's shortlist increasingly decides which.
Which queries are losing clicks
- Definitions and how-tos: 'what is moissanite', 'how to measure ring size at home', 'is 925 silver real'. The answer is short, universal and fully satisfied in the summary.
- Broad informational lists: 'best gifts for Diwali', 'skincare routine for oily skin'. The engine synthesises a generic list from many sources and cites a few; most of the sites that used to rank get nothing.
- Quick comparisons with a factual answer: 'gold vs rose gold durability'. If the answer does not depend on your specific product, it does not need your page.
- Support queries you used to answer in a blog: 'how long does courier take to Guwahati'. Now answered from your own policy page, without a visit, if you wrote it clearly.
If a large share of your organic traffic came from a content team publishing 'ultimate guides' on general topics, expect that number to keep falling, and stop treating it as a growth channel. The effort is better spent on the queries below.
Which queries still send visits
- Brand and brand-plus-product searches: 'PrimeStyle engagement rings', 'Lucira gold rate today'. Nothing intercepts these; the searcher wants you.
- Specific product searches with commercial intent: 'lab grown diamond solitaire ring 1 carat 18k price'. The result is a product page or a Shopping listing, and AI shortlists link to the same pages.
- Local and availability searches: 'silver jewellery store Bandra', 'same day delivery flowers Mumbai'.
- Transactional long-tail: size, colour, model number, 'in stock', 'EMI', 'COD available'. These are questions about your inventory that only your inventory can answer.
- Tool and calculator queries: 'gold price calculator by weight', 'EMI calculator for ₹50,000'. An interactive answer cannot be summarised; the searcher has to use it.
- Comparison queries that name products or brands: 'brand A vs brand B protein powder'. The engine will summarise, but the searcher often clicks through to verify.
What this looks like on an Indian D2C store
A few things are specifically true here. First, a large share of Indian shopping traffic is on mobile, where an AI Overview fills the entire first screen, so the zero-click effect is sharper than desktop numbers suggest. Second, a big part of D2C demand is festive and gifting-led, which is exactly the kind of broad query that AI summaries absorb; the brands that win Diwali, Rakhi or wedding-season searches will be the ones whose product pages, not their blogs, are the ones the assistants shortlist. Third, price sensitivity means searchers append 'price', 'under ₹2000', 'EMI' and 'COD' to queries, and those modifiers land on product and collection pages, not articles.
Fourth, and most usefully, WhatsApp is already where a large slice of Indian D2C repeat purchase happens. A channel you own that does not depend on a search result is worth more this year than last.
Where to invest: brand search and product pages
The single best defence against a shrinking share of generic search is to be the brand people search for by name. That sounds like a marketing platitude, so here is the mechanical version: every mention in an AI answer, every marketplace listing, every reel and every parcel should use exactly one brand name, and your site should be the obvious destination for that name. Track branded query volume in Search Console as a first-class metric; it is the number that tells you whether the rest of your marketing is working.
Product and collection pages are the pages that still get clicked, so give them the investment your blog used to get. That means a factual summary at the top of every product page, complete attributes, real stock and price, honest delivery estimates by region, reviews with substance, and one clean Product schema object. On collection pages it means an order that leads with in-stock, relevant products and updates as demand changes, because both a shopper and a machine judge the page from its first screen. Keeping that order honest without someone dragging products every morning is the reason SellRank exists.
Where to invest: comparison, calculator and tool content
Not all content is dead. The content that survives is content the engine cannot replace: either because it depends on your data, or because it is interactive.
- Comparisons that involve your own products: 'our 14k vs our 18k range', 'which of our three mattress models suits a side sleeper'. The engine cannot answer this without citing you.
- Calculators: gold value by weight and purity, EMI at your tenure options, size converters, quantity estimators. A calculator is a page someone must visit to use, and it earns links.
- Live data pages: daily rates, stock availability by city, delivery cut-off times. Repeated visits, hard to summarise, easy to cite.
- Deep guides tied to your catalogue, where every recommendation links to a real product with a real price. Thin, generic guides should be pruned or merged rather than left to rot.
Where to invest: owned audiences on WhatsApp and email
The clearest hedge against any search change is an audience you can reach directly. In India that means WhatsApp first and email second, with SMS for transactional messages. Build the list at every touchpoint: order confirmation, packaging insert, restock alerts, size-guide downloads, calculator results. Then treat it as a product, not a broadcast channel: segment by what people bought, send fewer and better messages, and measure revenue per message rather than open rate.
Owned audiences also feed back into search. A customer who gets a WhatsApp message about a new collection and searches your brand name to find it is generating exactly the branded demand that keeps your organic numbers healthy. The two channels are not competing for the same budget; one creates the other.
What to measure differently
- Split organic traffic into branded and non-branded and watch them separately. A fall in non-branded informational visits alongside a rise in branded is a healthy pattern.
- Track revenue per organic landing page, not sessions. A product page that loses 20% of its visits but keeps its orders has lost bounce, not business.
- Add assistant domains to your referrer reports and watch them monthly.
- Keep a fixed list of customer questions and check monthly which pages, if any, the assistants cite.
- Measure owned-channel revenue as a share of total, and set a target for it to rise.
AI search is not the end of organic traffic for D2C brands. It is the end of easy organic traffic from generic content. The work that remains is more specific, more tied to your actual catalogue, and, in our view, more durable. At LeelaRam Technologies it is the work we do first on every store we take on, before anyone talks about a redesign.
