How does the Instacart integration with Google's AI Mode fundamentally redefine the online shopping journey, and why should Indian e-commerce brands pay close attention to this specific cart creation flow?

The Instacart integration redefines the shopping journey by moving the initial point of commerce from a retailer's app to Google's search interface. Instead of browsing your store, a user simply states a goal, and AI builds the cart, reducing your app to a tool for checkout and order management. This represents a powerful shift toward intent-driven commerce, where the discovery and selection phases happen entirely within Google’s ecosystem. For Indian brands, this is a critical development because it dismantles the traditional conversion funnel. Key considerations include: Upstream Cart Creation: The user's journey begins with a conversational request in Google's AI Mode, completely bypassing your app's home page and navigation. Loss of Browsing Control: Customer engagement points like category grids, promotional banners, and curated landing pages become irrelevant in this flow. Focus on Fulfillment: The handoff to your app occurs only after the basket is full, meaning your primary function becomes payment processing and delivery logistics. Understanding this model is the first step toward building a strategy that ensures your products are discoverable and selected by the AI. Discover how to prepare your product catalog for this new reality in our full analysis.

What is the core function of Google Connected Apps for e-commerce, and how does it effectively shift the point of product browsing away from a retailer’s own application to Google's AI-powered interface?

The core function of Google Connected Apps for e-commerce is to execute specific tasks, like building a shopping cart, directly within Google's AI Mode or Gemini app. It works by integrating your service's capabilities so the AI can assemble a basket based on a user's natural language request. This shifts browsing away from your platform because the AI handles the product discovery and selection process, presenting the user with a pre-filled cart. This search-as-a-browser model means the user no longer needs to navigate your app's interface for initial shopping. The handoff from Google to your app, as described in Google's Search help page, occurs only for checkout and post-purchase management. For example, VistaPrint returns a checkout link after building the order. This makes your app's role transactional rather than exploratory. Preparing for this change requires a new focus on structured data and API readiness, which we detail further in the complete guide.

What specific steps in the Instacart AI Mode flow demonstrate Google's strategy to handle browsing within its search interface, and what does this "search as a browser" model mean for brand-owned discovery experiences?

The Instacart flow in AI Mode provides clear evidence of Google's strategy to internalize the browsing and selection process, effectively acting as the browser itself. The journey begins with a user stating a goal, not visiting a website, and Google's AI handles the rest before checkout. This is a departure from traditional search, where Google sends traffic to your site for browsing. The specific steps that highlight this model are: A user asks AI Mode for ingredients from a recipe, bypassing the Instacart app's search bar and categories. AI Mode identifies the required items and builds the cart in the background without directing the user to product pages. The user is only sent to the retailer's app to review the pre-filled cart and complete the checkout. This search-as-a-browser model means that your brand-owned discovery experiences, like curated collections and promotional banners, are completely bypassed. Explore the full implications for on-site merchandising and customer engagement in our deep dive.

With 4 of 14 recent e-commerce growth moves involving AI assistants, how does this market data underscore the urgency for Indian brands to prepare for Google's connected app ecosystem before it fully launches in the region?

This market data shows that integrating shopping into AI assistants is not a future concept but a current, accelerating trend among major e-commerce players. The fact that nearly 30% of recent strategic moves tracked by Growth Moves 2026 are in this area signals a clear direction for the industry. This is the warm-up for what Google is building at scale with its connected apps platform. For Indian brands, this underscores the urgency to act now rather than wait for a local launch announcement. Waiting to react means you will be playing catch-up while competitors who prepared early capture the default positions within Google's AI. A proactive strategy involves focusing on: Structuring product catalogs and inventory data for easy consumption by AI. Developing robust APIs that can handle cart creation requests from third-party platforms like Gemini. Building a business case for the technical investment required to become a launch partner. The window of opportunity is now. Learn more about the steps to get your e-commerce platform AI-ready in the full article.

Though shopping apps are not yet live for India, what can we infer from the launch of India-only apps like Urban Company and Zoho about Google’s partnership strategy and the potential technical requirements for local e-commerce integrations?

The existence of six India-only apps, including Urban Company and several Zoho services, indicates Google is actively building a localized ecosystem and is open to partnering with domestic leaders. It shows that Google's strategy is not limited to global giants but extends to companies that solve specific, regional needs. This is a positive signal for Indian e-commerce platforms hoping to integrate. From these integrations, we can infer several key points for future e-commerce partners: API-First Approach: These services are built around discrete, executable tasks, suggesting that a well-documented and robust API is a prerequisite for integration. Solving a Clear Use Case: Each app performs a specific function (booking a service, managing CRM), implying that e-commerce integrations will also need to be task-oriented, like 'build a cart' or 'reorder a past purchase'. Phased Rollout: Google's approach of launching in phases, as stated in its launch post, suggests that early movers with strong technical foundations will likely be chosen as initial partners. This provides a blueprint for how Indian e-commerce brands should prepare. The full report offers more detail on structuring your platform for a successful partnership.

How does the merchant-facing functionality of Shopify's connected app differ from Instacart's consumer-facing cart creation, and what can Indian marketplaces learn from this dual approach for their own platforms?

The distinction between the Shopify and Instacart apps highlights that Google's connected app strategy addresses both consumer and business workflows. Instacart focuses on the consumer task of cart creation, while Shopify provides merchant-facing tools for store management, order processing, and inventory tracking. This dual approach shows Google's intent to become an integral platform for the entire e-commerce operation, not just the front-end shopping experience. Indian marketplaces should see this as an opportunity to integrate both sides of their business. A comprehensive strategy would involve: A consumer-facing app that allows users to build carts via AI Mode, similar to Instacart. A merchant-facing app that empowers sellers to manage listings, track inventory, and process orders directly through a Google interface, mirroring Shopify's functionality. By serving both audiences, Indian marketplaces can create a stickier ecosystem and position themselves as indispensable partners to Google. Learn how to structure this two-pronged integration in the complete analysis.

When considering a future integration, how should an e-commerce platform weigh the benefits of gaining access to Google's AI-driven user intent against the risk of diminishing their own app's role in product discovery and customer engagement?

This is a critical strategic trade-off that every e-commerce leader must evaluate carefully. The primary benefit of integrating is gaining access to high-intent users at the exact moment of need, potentially capturing sales you might otherwise miss. The risk, however, is ceding control over the customer's discovery journey and reducing your app to a simple fulfillment engine. To make an informed decision, you should weigh these factors: Benefit - Access to Intent: Google's AI can translate vague user needs into specific product selections, tapping into a massive user base directly within the search interface. Risk - Brand Dilution: If users primarily interact with Google to build their cart, your ability to upsell, cross-sell, and build brand loyalty through your app's unique experience is severely limited. Benefit - Reduced Friction: The flow from query to a pre-filled cart is incredibly efficient, which could increase conversion rates. Risk - Loss of Data: You lose valuable data about user browsing behavior, which is critical for personalization and merchandising. Ultimately, the choice is not whether to integrate, but how. The full article explores hybrid strategies for participating in this ecosystem while retaining brand value.

What is the biggest mistake an Indian e-commerce marketplace could make by ignoring the development of Google Connected Apps, and how can they proactively build a strategy to avoid losing control over the customer's shopping journey?

The biggest mistake would be assuming that your current app engagement and brand loyalty will be enough to compete once AI-driven search becomes the default for shopping. By ignoring this shift, you risk becoming invisible at the most critical stage of the customer journey, the point of initial consideration. Waiting for the feature to launch in India, as per the 31 October 2026 check, means you have already fallen behind. A proactive strategy to maintain control involves transforming your platform to be a valuable data source for the AI. Instead of fighting the shift, become the best partner for it. This includes: Deep Catalog Structuring: Go beyond basic product details. Enrich your data with attributes that an AI can use to make better recommendations. API-First Development: Build robust, fast, and well-documented APIs for cart creation, inventory lookup, and order management. Focus on Post-Purchase Experience: Differentiate with superior delivery, customer service, and re-engagement strategies, since the pre-purchase experience is moving to Google. By preparing now, you can position your service as the default choice for Google's AI. Find a detailed roadmap for this preparation in the full guide.

What common assumption about customer acquisition might become a major liability for e-commerce brands once Google's AI-driven shopping is widely adopted, and what is the strategic alternative?

The common assumption that customer acquisition funnels start with driving traffic to your app or website will become a significant liability. Brands that continue to pour their budgets into top-of-funnel ads designed to attract browsers will see diminishing returns. In the world of Google Connected Apps, the acquisition happens at the point of AI-assisted selection, not on your property. The strategic alternative is to shift from a destination-focused mindset to a data-focused one. Your goal is no longer just to bring users to your app, but to ensure your products and services are the AI's preferred choice. This requires a new approach: Invest in Product Data Enrichment: Your product feed becomes your primary marketing tool. The more detailed and accurate it is, the more likely the AI will select your items. Build for Headless Commerce: Decouple your front-end experience from your back-end e-commerce engine so you can serve products and create carts anywhere, including directly within Gemini. Prioritize API Performance: The speed and reliability of your API for cart creation could become a key factor in how Google's AI ranks your integration. This pivot is essential for survival. Our full report explains how to reallocate resources for this new acquisition model.

For an Indian quick commerce company aiming to be an early adopter of Google Connected Apps, what are the first three practical steps to take, focusing on technical readiness and catalog data structuring for AI consumption?

For an Indian quick commerce company, becoming an early adopter requires immediate and focused action before the feature officially launches in India. The goal is to make your service the most reliable and information-rich option for Google's AI. A practical plan starts with focusing on your backend and data infrastructure today. The first three steps should be: Conduct a Comprehensive API Audit: Evaluate your existing APIs for speed, security, and functionality. Create or refine endpoints specifically for adding items to a cart, checking real-time inventory, and calculating prices. Your system must be able to handle requests from Google efficiently. Enrich and Structure Product Data: Go beyond basic product names and images. Structure your catalog with granular attributes like dietary information, size variations, brand, and usage occasions. This rich data is what an AI uses to match products to a user's conversational query. Develop a Gemini-First Prototype: Since the Gemini app is the initial proving ground for many connected apps, begin by building a prototype integration for it. This allows you to test your APIs and data structure in a live environment before the wider Search rollout. Taking these steps now will put you in a prime position to be a launch partner. The complete guide provides a more detailed technical checklist.

As Google's AI increasingly handles initial basket building, what are the long-term implications for brand differentiation and customer loyalty when a retailer's app is primarily reduced to a checkout and fulfillment tool?

The long-term implications are significant, as traditional methods of brand differentiation and loyalty building are disrupted. When the AI handles discovery, your carefully crafted in-app experience, personalized recommendations, and brand storytelling become less visible. Your brand risks being commoditized, evaluated by the AI on price, availability, and speed rather than brand equity. To counter this, you must find new ways to differentiate and foster loyalty in a world where you don't own the initial interaction. The focus must shift to post-selection excellence: Superior Fulfillment Experience: Loyalty will be built on the reliability, speed, and communication of your delivery service. This becomes your new brand promise. Exceptional Customer Service: The ease with which customers can manage orders, make changes, and handle returns will be a key differentiator. Data-Driven Re-engagement: Use the purchase data you do own to create powerful re-engagement campaigns and personalized offers that bring customers back directly to your app for their next purchase. This redefines loyalty from being about the browsing experience to being about the ownership experience. Uncover more strategies for building a defensible brand in the full article.

Based on the US-only status for e-commerce apps like Instacart as of October 2026, what can we infer about the technical and market-specific challenges Google faces before launching these features in a complex market like India?

The US-only status as of late 2026 suggests that launching AI-driven e-commerce integrations is a complex process with significant hurdles, especially for a market as diverse as India. The delay is likely caused by a combination of technical, logistical, and market-specific challenges that must be solved before a wider rollout. Key challenges likely include: Linguistic and Dialectical Complexity: AI models need to be trained to understand the vast diversity of languages, dialects, and code-switching common in Indian commerce queries. Inventory and Fulfillment Fragmentation: Unlike the US, India's retail landscape is highly fragmented. Real-time inventory accuracy across countless small sellers is a massive technical challenge for an AI to rely on. Payment and Checkout Diversity: Integrating with India's diverse payment ecosystem, including UPI and various digital wallets, adds another layer of complexity to the checkout handoff. These factors mean a simple 'lift and shift' of the Instacart model is not feasible. The full post explores how these challenges create an opportunity for local players who can solve them.

Google Connected Apps for E-commerce and Quick Commerce: What Indian Companies Should Build First

Amol Ghemud
Google Connected Apps for E-commerce and Quick Commerce: What Indian Companies Should Build First
Published: October 31, 2026

Contributors: Amol Ghemud
Published: October 31, 2026

Summary

Google Connected Apps for ecommerce lets a shopper ask AI Mode or Gemini to build a cart, and Instacart already does this in the US. As of 31 October 2026, no Indian grocery, quick commerce or marketplace app is live in either surface. This guide covers which default locks in first, what Indian companies could expose, a readiness checklist and what to measure.

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In the US, you can ask AI Mode for an Instacart cart of banana bread ingredients and the cart gets built for you. You only open Instacart to check out. That flow is described on Google’s Search help page for connected apps, and it’s the clearest live example of what happens to shopping when Search does the browsing.

That is what Google Connected Apps for ecommerce looks like today: the shopper states a goal, Google picks or asks for an app, and the cart arrives already filled. Our pillar guide to Google Connected Apps for Indian brands covered how the platform works. This post goes deeper on 1 sector: e-commerce and quick commerce.

India isn’t live yet for this use case. We re-checked Google’s pages on 31 October 2026. Connected apps in Search still work only in AI Mode, in the US, in English, and the Gemini availability table still marks Instacart and Shopify as US only. Nothing has changed since our 29 October check.

The window won’t stay open. Our Growth Moves 2026 e-commerce edition tracked 14 moves this year, and 4 of them took shopping into AI assistants. At upGrowth Digital we read that as the warm-up for what Google is building, and the sections below map where the default gets decided.

What Does Instacart in AI Mode Show About Google Connected Apps for Ecommerce?

It shows the cart moving upstream into Search: Google builds the basket from a plain request or recipe, and the retailer’s own app only handles checkout, tracking and order changes.

The cart flow, step by step

A shopper opens AI Mode and either names the app or asks generically and picks from the apps on offer, according to Google’s Search help page. If the account isn’t linked, AI Mode offers a Link button. Once linked, the shopper sees a continue option and AI Mode builds the cart.

There’s no home page, category grid or banner slot in that sequence. Browsing happens inside Google.

Where the handoff happens

Shoppers are then sent to Instacart to check out, track and manage orders. In the Gemini app, Google’s connected apps table describes VistaPrint adding orders to a cart and returning a checkout link. Neither page describes payment inside the AI surface.

Our reading: the first version of Google Connected Apps for ecommerce is cart creation plus a handoff. Checkout and delivery stay with you; basket choice doesn’t.

The merchant side is already live too

Shopify appears in the Gemini table as a way to manage a storefront, process orders, track inventory and create product listings. It’s US only and merchant-facing, which tells Indian marketplaces that seller operations count as a connected app task too.

Also Read: Google Connected Apps: what the new platform means for Indian brands

Is Google Connected Apps for Ecommerce Available in India Yet?

No. As of 31 October 2026, no grocery, quick commerce or marketplace connected app is available to Indian users in either Google Search or the Gemini app.

Google Search: US only

Google’s Search help page lists 5 connected apps in AI Mode: Instacart, Canva, YouTube Music, Yahoo Fantasy Football and Sleeper Fantasy Football. It says the feature works in the US, in English, and that availability varies by location, language and device. India isn’t mentioned.

Gemini: India-only apps exist, none for shopping

The Gemini connected apps availability table marks 6 apps as India only: Urban Company, Zoho Bigin, Zoho CRM, Zoho Desk, Zoho Mail and Zoho Projects. Instacart and Shopify are US only. VistaPrint is listed for all countries where both Gemini and VistaPrint are supported, in English only, and Canva supports Hindi among its 5 languages.

What changed since 29 October

Nothing on availability. Google’s launch post still says access is opening in phases, with more developers, markets and Google products added over the coming months. It doesn’t name an India date. Our planning assumption hasn’t moved: build for Gemini first, and treat Search in India as a 2027 event until Google says otherwise. That’s our view, not a Google statement.

Also Read: Growth Moves 2026: how Indian e-commerce leaders grew this year

Which Default Gets Locked In First When the Cart Is Built Inside Search?

Our reading is that the repeat basket locks in first: the weekly grocery run and the “get me this now” order, because those tasks repeat often and Google may reuse the last app a shopper picked.

Google’s Search help page puts it plainly: “Google may default to the last app you used for a certain task.” Shoppers can switch by naming another app, but most won’t for a task they repeat every few days. That’s our inference from how defaults behave elsewhere, not a Google statement.

The companies below appear because our Growth Moves e-commerce edition covers them. We are not claiming any of them is building a Google connected app, and no source we opened says so.

Quick commerce: speed becomes a tool result

Inside AI Mode, a speed promise must come back as data a model can compare. Our edition records Swish delivering 80%+ of orders within 15 minutes and Supertails running 30-minute pet delivery from 45 dark stores, both per company statements.

Our edition also records that Swiggy launched MCP integrations across Food, Instamart and Dineout in January 2026, usable through ChatGPT, Claude and Google Gemini. That isn’t the same as a Google connected app listing: Swiggy doesn’t appear in the Gemini connected apps table as of 31 October 2026.

Marketplaces and vertical stores: the long tail gets squeezed

Generic requests are the only place a challenger gets discovered, because that’s where a shopper picks from a list. FirstClub, Slikk and ZILO, all in our edition, compete on assortment and trust rather than raw speed. In our view, AI answers must name them before a shopper links anything.

Checkout and D2C enablers: the AI checkout race has started elsewhere

Our edition notes Nykaa Beauty and Nykaa Fashion became connected apps in ChatGPT in June 2026, and GoKwik launched a multi-brand D2C shopping experience in ChatGPT with PayU in July. Those are ChatGPT moves, not Google ones. They show Indian teams can already scope shopping tasks for an assistant.

Logistics: “where’s my order” leaves the tracking page

Order status is a natural read-only tool. Urban Company’s Gemini listing already lets Indian users track upcoming and past bookings, per the Gemini table. Ekart, Delhivery and Shipsy appear in our edition for selling logistics infrastructure, and our edition says Delhivery offers its APIs through a Delhivery Maps MCP.

Also Read: Google Connected Apps for SaaS: what Indian companies should build first

What Could Indian Companies Expose Through Google Connected Apps for Ecommerce?

Start with tasks that already have a live analogue in Google’s lists: cart building from a request, merchant store management, cart-plus-checkout-link flows and order or booking tracking.

Google Connected Apps for ecommerce: live analogues and what Indian companies could expose (verified 31 Oct 2026)
Sector task	Live analogue	What Indian companies could expose	upGrowth view
Build a cart from a recipe or request	Instacart in AI Mode and Gemini (US only)	Search catalogue, check pincode availability, add items to cart	First task to build. Return the cart and hand off to your own checkout
Reorder a past basket	Instacart in Gemini (US only); Google may default to the last app used	Read order history, rebuild last basket, swap out-of-stock items	The default you most want to own. Needs user-delegated OAuth
Track an order or booking	Urban Company tracks bookings in Gemini (India only)	Order status, delivery slot, return status	Read-only, low risk, high frequency. Good second release
Custom order with checkout link	VistaPrint adds orders to a cart with a checkout link in Gemini	Gift boxes, bulk orders, personalised products	Fits marketplaces and gifting verticals. Keep payment on your site
Manage a seller storefront	Shopify in Gemini (US only, merchant side)	Seller inventory, listings, order processing for marketplace sellers	A B2B play for marketplaces and enablers. Separate app from the shopper app

No live analogue exists yet for paying fully inside AI Mode, and neither list has an Indian commerce app.

How Should an Indian Quick Commerce or Marketplace App Get Ready?

Readiness for Google Connected Apps for ecommerce means picking the repeat tasks shoppers already open your app for, choosing an auth model per task, trimming every tool to the inputs it needs and checking your business model against Google’s policy.

Tasks to expose

Google’s prerequisites page asks for at least 3 capabilities beyond your category defaults and at least 3 example prompts, with 2 starting with your app name. For a grocery app, that might be “build a cart for a recipe”, “reorder my last basket” and “track my order”. Mark read-only tools with readOnlyHint and cart or order changes with destructiveHint, as the MCP server guide recommends.

Auth model choice

The registration guide offers no authorisation, machine-to-machine OAuth with client credentials, or user-delegated OAuth with an authorisation code. Our view of the split:

No authorisation: public catalogue search or store locator tools with no account data
Machine-to-machine: B2B tools, for example a logistics partner exposing rate checks to business accounts
User-delegated OAuth: anything touching a shopper’s cart, saved addresses, wallet or order history. Google requires seeded test accounts with 2-factor authentication off for reviewers

Data minimisation, especially location

Google’s Connected Apps Platform policy limits each tool’s schema and permissions to what it strictly needs. The registration guide lets you request location context per tool, where approximate means at least 3 km² and precise means 50 m or less. A pincode check doesn’t need a precise pin. A delivery slot might. Request it only on the tool that uses it.

Listing assets

An app name shoppers will type after @, and a 512 x 512 px icon under 1 MB
A 1-sentence description under 30 words
Public Terms of Service and privacy policy URLs, plus help docs on managing and deleting user data
A category you’re sure of, because it can’t be changed later
A domain verification file at /.well-known/google-connected-apps that returns HTTP 200 with no redirects
1 global HTTPS MCP endpoint. A country-specific endpoint is allowed only if you launch in that country alone

Policy limits that hit commerce hardest

The policy bars third-party ads or promotional material in the integration, which is a real constraint for marketplaces that sell sponsored listings. It requires age-gating for age-restricted goods such as alcohol and tobacco. It also bans wrappers that mainly pass through another platform’s APIs, so a tool that only relays someone else’s catalogue won’t pass.

Descriptions written to make the model pick you over a rival are banned too, so “fastest grocery delivery in India” in a tool description is a rejection risk.

Also Read: We built a Google connected app in 1 evening: what Indian brands should copy

What Should E-commerce Teams Measure Once Connected Apps Open in India?

Measure carts built inside Google against checkouts completed in your app, and track linked accounts and repeat tasks, because sessions on your own site will undercount real demand.

Linked accounts: how many shoppers have connected your app to Google, by city
Cart-to-checkout handoff rate: carts created through the connected app that convert after the handoff
Repeat task share: how often the same shopper reuses your app for the same task, the closest proxy for owning the default
Tool health: traffic, latency and error rates, which Google says Connected Console reports after launch
GA4 sessions and branded clicks: expect softening while orders hold. Read both together

Before your category opens, get a baseline of which apps AI answers name today. Our free AI Answer Gap tool checks which brands AI engines name for your shoppers’ questions. Run it now and again when Gemini or Search opens commerce apps in India.

Common Questions About Google Connected Apps for Ecommerce

What is Google Connected Apps for ecommerce?

It’s Google’s Connected Apps Platform applied to shopping and grocery. A user links an account once, then asks AI Mode in Search or the Gemini app to do a task such as building a cart. As of 31 October 2026, Google’s Search help page lists Instacart as the grocery app in AI Mode, and the Gemini table lists Instacart and Shopify, both US only.

Can Indian shoppers use Google Connected Apps to build a cart today?

Not through an Indian grocery or quick commerce app. On 31 October 2026, connected apps in Google Search work only in AI Mode in the US, in English. The Gemini app lists 6 India-only connected apps, Urban Company and 5 Zoho products, and none of them is a shopping cart. Instacart and Shopify are marked US only in the same Gemini table.

Does checkout happen inside AI Mode?

Google’s Search help page doesn’t say so. It says AI Mode can build an Instacart cart from a request or a recipe, and the user is sent to Instacart to check out, track and manage orders. In Gemini, VistaPrint adds orders to a cart and returns a checkout link. Plan your first connected app around cart building with a handoff, not in-chat payment.

Can a marketplace show sponsored products inside a Google connected app?

No. Google’s Connected Apps Platform policy says partners may not serve third-party advertising or promotional material through their integrations, though your own brand elements are allowed. For a marketplace that sells sponsored listings to sellers, our reading is that paid placements shouldn’t appear in tool results, so ranking inside the app has to stand on relevance and availability.

Which authentication model should a quick commerce app choose?

Use user-delegated OAuth for anything tied to a shopper’s account, such as carts, saved addresses and order history. Google’s registration guide also offers no authorisation for public tools and machine-to-machine OAuth with client credentials. User-delegated apps must give Google seeded test accounts with realistic data and 2-factor authentication turned off, or the app may be rejected.

How does GEO relate to Google Connected Apps for ecommerce?

GEO decides whether AI answers name your brand when a shopper asks which app to use. Connected apps decide what happens after they pick you. upGrowth helped Vance become the authoritative answer in Google AI Overviews for IMPS, UTR and payment tracking queries, with a 7x increase in ranking power.

Your Next Move: Claim the Cart Before Someone Else Does

When the cart is built inside Search, the first app a shopper picks for a repeat task can keep the job. Indian teams can’t link users yet, but they can get named in AI answers now and have a scoped, policy-safe connected app ready when Google opens commerce here.

upGrowth runs Generative Engine Optimization programmes that get brands named in AI answers, and we’ve built our own connected app on this platform. If you want a readiness view for your category, start with a conversation.

Book a 30-minute strategy call.

For Curious Minds

The Instacart integration redefines the shopping journey by moving the initial point of commerce from a retailer's app to Google's search interface. Instead of browsing your store, a user simply states a goal, and AI builds the cart, reducing your app to a tool for checkout and order management. This represents a powerful shift toward intent-driven commerce, where the discovery and selection phases happen entirely within Google’s ecosystem. For Indian brands, this is a critical development because it dismantles the traditional conversion funnel. Key considerations include:

Upstream Cart Creation: The user's journey begins with a conversational request in Google's AI Mode, completely bypassing your app's home page and navigation.
Loss of Browsing Control: Customer engagement points like category grids, promotional banners, and curated landing pages become irrelevant in this flow.
Focus on Fulfillment: The handoff to your app occurs only after the basket is full, meaning your primary function becomes payment processing and delivery logistics.

Understanding this model is the first step toward building a strategy that ensures your products are discoverable and selected by the AI. Discover how to prepare your product catalog for this new reality in our full analysis.

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About the Author

Amol Ghemud

Optimizer-in-chief

Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.

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