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Amol Ghemud Published: February 16, 2026
Summary
ChatGPT Ads launched on Feb 9, 2026, as sponsored recommendations shown inside AI-generated responses. Unlike Google or Meta, these ads are triggered by conversational intent rather than by keywords or demographics.
While Indian brands can’t run ChatGPT Ads yet, the advantage will go to companies that build GEO, entity authority, and structured data readiness before the India rollout.
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If you’re running a brand in India, you can’t buy these ads yet. But that doesn’t mean you should wait. The brands that win when ChatGPT ads arrive in India will be those that began preparing months before launch. And the preparation window is open right now.
This guide breaks down how ChatGPT ads work, what they cost, when they’re likely to reach India, and what you should be doing today to get ready. We’ve been building Generative Engine Optimization (GEO) strategies for over 12 months because we saw this shift coming. Now it’s here.
What are ChatGPT ads and how do they work?
ChatGPT ads are sponsored recommendations that appear at the bottom of AI-generated responses when a user’s conversation matches a relevant product or service. They’re clearly labeled as sponsored content and sit below the organic answer, separate from what ChatGPT actually recommends.
Here’s what makes them different from every other ad format you’ve worked with. When someone asks ChatGPT, “What’s the best project management tool for a remote team?”, the AI gives its organic answer first. Below that, a sponsored recommendation from a project management tool might appear, matching the context.
The targeting isn’t based on demographics or keywords in the traditional sense. OpenAI uses the conversation topic, past chats, and prior ad interactions to determine which ads to show. Think of it as intent targeting on steroids.
The AI understands why someone is asking, not just what they typed. That distinction changes everything about how targeting works.
Users can even interact with the ad. They can ask follow-up questions about the sponsored product right inside the chat. That’s a fundamentally different experience from clicking a Google search result and landing on a website.
The conversation continues, but now with the advertiser’s product as the subject. No landing page. No tab-switching. Just a continued dialogue.
Only two user tiers currently see ads: free-tier users (logged in) and ChatGPT Go subscribers paying $8/month. The paid tiers, including Plus ($20/month), Pro ($200/month), Business, and Enterprise, remain completely ad-free. Users under 18 don’t see ads either.
ChatGPT ads pricing: what does it cost to advertise?
ChatGPT ads currently cost approximately $60 per 1,000 impressions (CPM), with a minimum commitment of $200,000 to participate in the beta program. This is not a self-serve platform you can test with Rs 5,000. At least not yet.
To put that $60 CPM in perspective: Meta Ads in India typically run between $2 and $ 10 CPM, depending on audience and placement. Google Display ads average $3-8 CPM. So ChatGPT ads are priced at roughly 6-30x standard display rates and 3-4x Meta’s pricing.
Why the premium? OpenAI is betting on the quality of the audience and the intent signal. Someone asking ChatGPT, “Which CRM should a Series A startup use?” is deep in decision mode. That’s worth more per impression than someone scrolling through Instagram.
Here’s the pricing reality for Indian brands right now:
The $200,000 minimum rules out most Indian startups and mid-market companies from the pilot. That’s roughly Rs 1.7 crore just to get in the door.
But this will change. Every ad platform starts off expensive and exclusive before opening up. Google Ads had minimum spends in its early days. Facebook required manual ad insertion orders before self-serve launched.
As OpenAI scales the ad platform and brings in more inventory, expect CPMs to drop and minimums to come down. The early $60 CPM reflects limited inventory and high demand from major advertisers like Adobe, WPP, and Omnicom, who are already in the pilot.
The current ChatGPT ads pilot is restricted to US-based, invite-only advertisers with a $200,000 minimum commitment. No self-serve access exists, and the program is limited to brands working with major ad holding companies or those with direct OpenAI partnerships.
Early participants include Adobe (running campaigns for Acrobat Studio and Adobe Firefly through WPP), major travel brands, and agencies like Omnicom and WPP. OpenAI offered some early test partners commitments of up to $1 million.
Several categories are completely excluded from advertising on ChatGPT:
Health and medical products
Mental health services
Financial services
Politics and political content
Dating services
These exclusions are significant for Indian fintech and healthtech brands. If you’re in one of these verticals, paid ChatGPT ads won’t be available to you even when the platform opens up.
For brands outside excluded categories, the question isn’t whether to advertise on ChatGPT. It’s when you’ll get the chance and whether you’ll be ready.
When will ChatGPT ads launch in India?
No official launch date for ChatGPT ads in India has been announced. But there are strong signals that India is on OpenAI’s expansion radar.
ChatGPT Go, the $8/month subscription tier, launched in India in August 2025. That move signaled OpenAI’s commitment to the Indian market and its intent to build a user base here before monetizing through advertising.
Based on OpenAI’s expansion patterns and the revenue pressure the company faces, here’s a reasonable timeline estimate:
Q2-Q3 2026 is the earliest likely window for India. OpenAI needs to first prove the ad model works in the US, iron out measurement challenges, and build advertiser tools.
Then comes expansion to markets with significant ChatGPT user bases. India qualifies on all counts.
But here’s what matters more than the exact date: the preparation window is now. The brands that start building AI visibility today will have a 6-12 month head start over competitors who wait for the official India launch announcement.
What should you be doing right now?
First, build your organic AI visibility. If ChatGPT already mentions your brand in organic responses, you’ve got a presence that compounds. When paid ads arrive, you’ll have both organic mentions and the ability to run sponsored recommendations. That’s the dual-channel advantage.
Second, get your structured data and entity profiles in order. ChatGPT uses entity recognition to match brands with relevant conversations. If your brand isn’t well defined in AI systems, neither organic mentions nor paid targeting will work effectively.
Third, start tracking AI referral traffic now. Set up UTM parameters (utm_source=chatgpt.com) to measure traffic already coming from ChatGPT. This baseline data will be invaluable when you start running ads.
How do ChatGPT ads compare to Google and Meta ads?
ChatGPT ads aren’t a replacement for Google or Meta. They’re a different channel serving a different moment in the buyer journey. Understanding the differences helps you plan where ChatGPT fits in your marketing stack.
Targeting approach. Google targets keywords. Meta targets demographics and interests. ChatGPT targets conversational context. When someone asks ChatGPT for advice, the AI understands the full context behind the question.
Constraints, preferences, decision criteria: all captured within a single conversation. That’s a richer signal of intent than a search query or a demographic profile.
Pricing model. Google Search charges per click (CPC). Meta charges per impression (CPM) or per action. ChatGPT charges per impression (CPM) at roughly $60.
In Indian markets, where Google CPC for competitive keywords ranges from Rs 50-200, and Meta CPM is Rs 150-800, ChatGPT’s CPM is approximately Rs 5,000, which is significantly higher. But you’re paying for a fundamentally different type of impression.
Ad format. Google gives you text and shopping ads. Meta gives you image, video, and carousel ads. ChatGPT offers conversational ads that let users actually talk to your brand.
This changes the creative strategy completely. You’re not writing ad copy anymore. You’re designing a conversation.
Measurement. Google and Meta have mature attribution systems. ChatGPT currently offers only basic aggregated reporting: total impressions and total clicks.
No tracking pixels. No third-party analytics. No user-level data. This is a deliberate privacy choice by OpenAI, but it creates real challenges for performance marketers who live on ROAS metrics.
Availability. Google and Meta are available now in India with self-serve access and any budget. ChatGPT ads are US-only with a $200,000 minimum. This gap is temporary, but it matters for immediate planning.
The smart play isn’t choosing one over the other. It’s understanding where each fits and building a multi-channel strategy that includes AI-based advertising as it matures.
How should Indian brands prepare for ChatGPT ads?
Preparation isn’t about saving budget for a future ad campaign. It’s about building the foundation that makes those ads effective when they become available. Here’s the five-step framework.
Step 1: Build your AI visibility foundation
Before you can advertise effectively on any AI platform, the AI needs to know who you are. This starts with Generative Engine Optimization (GEO), the practice of making your brand visible in AI-generated responses.
Ask ChatGPT, Perplexity, and Gemini about your product category right now. Does your brand come up? If not, you have an entity problem. AI engines don’t know you exist as a recommended option.
GEO solves this by building your brand’s entity presence, creating content AI engines want to cite, and ensuring your structured data helps AI systems understand what you do.
Step 2: Optimize structured data and entity presence
ChatGPT uses entity recognition to match advertisers with relevant conversations. Your brand needs to be a clearly defined entity across the web.
That means the organization schema on your website. Consistent NAP (Name, Address, Phone) across all platforms. Active profiles on Crunchbase, LinkedIn, and Google Business.
SameAs links connecting all your digital properties complete the picture. This is the entity graph that AI systems use to decide whether to mention or match your brand.
For a deeper dive into how to optimize content for AI, we’ve written extensively about the specific technical requirements.
Step 3: Get your product feeds ready
ChatGPT’s ad system uses product feeds to match sponsored recommendations with user conversations. OpenAI accepts CSV, TSV, XML, or JSON updates at intervals as frequent as every 15 minutes.
Your feeds need GTIN/UPC/MPN identifiers, shipping information, pricing, variant details, and rich media links. If you’re already running Google Shopping or Meta Commerce campaigns, you’ve got a head start.
But ChatGPT’s feed spec has additional requirements. Conversational product descriptions and specific control flags (enable_search, enable_checkout) are unique to this platform. You’ll need to add these before launch.
Start cleaning and enriching your product data now. When ChatGPT ads open to Indian brands, the ones with ready-to-go product feeds will launch faster and perform better.
Step 4: Create content that AI engines already cite
Every piece of content you publish should be written for both human readers and AI extraction. That means canonical answers at the start of each section, question-based headings that match how people ask AI engines, specific data points, and FAQ sections.
The content you build now serves double duty. It drives organic AI visibility today and creates the topical authority that makes your paid ads more relevant when they launch. We call this the compounding effect of GEO.
We built this approach for clients like Fi. Money, where a structured content strategy grew organic traffic from 5,000 to 500,000 clicks. That same content now gets cited by AI engines because it was built with entity optimization and structured data from the start.
Step 5: Build measurement infrastructure
ChatGPT’s current measurement capabilities are limited. No tracking pixels, no user-level data, no standard conversion tracking. That means you need to build your own measurement framework.
Set up UTM parameters for AI referral traffic (utm_source=chatgpt.com). Track branded search lift as a proxy for AI-driven awareness.
Monitor direct traffic spikes that correlate with AI visibility gains. Build baseline metrics now so you can measure the incremental impact of paid ChatGPT ads when they launch.
New metrics will emerge for this channel: assistant influence score, conversational engagement, and zero-click conversions. Start thinking about how you’ll measure success beyond traditional CPA and ROAS.
Can you get cited by ChatGPT without paying for ads?
You don’t have to wait for ChatGPT ads to show up in AI responses. Organic AI visibility through GEO (Generative Engine Optimization) lets you get your brand cited in ChatGPT, Perplexity, Gemini, and Claude responses without spending on ads.
GEO works because AI engines need to recommend options when users ask. If your content is authoritative, structured, specific, and entity-optimized, AI systems will cite you. No ad budget required.
The strongest AI visibility strategy combines organic and paid channels, just as the best Google strategy has always combined SEO with Google Ads. Organic builds the long-term foundation. Paid drives immediate visibility. Data from one channel informs the other.
We’ve been building GEO strategies for startups and fintech companies for over 12 months, well before ChatGPT ads existed. The approach works because it addresses the fundamental shift from the Search Economy to the Answer Economy.
Users aren’t searching and browsing anymore. They’re asking and deciding within a single AI conversation. That changes where brands need to show up.
The launch of ChatGPT ads validates what we’ve been building. It confirms that AI platforms are now a legitimate marketing channel, not a futuristic concept.
The brands that invested in organic AI visibility early now have a compounding advantage. They show up in organic AI responses AND will be ready to run paid ads from day one.
How should you measure ChatGPT ad performance?
ChatGPT ad measurement is fundamentally different from anything you’ve used before. Most guides won’t tell you this upfront, but it’s the single biggest challenge early advertisers face.
ChatGPT does not allow tracking pixels, third-party trackers, or external analytics integrations. Your conversations stay private from advertisers.
That’s a deliberate choice by OpenAI. And it creates a real gap for performance marketers.
What you get right now: total impressions and total clicks. That’s it. Aggregated numbers, not tied to individual users or sessions.
What you don’t get: conversion tracking, attribution paths, demographic breakdowns, or anything resembling a Facebook Pixel or Google Ads conversion tag.
This means ChatGPT ads function more as an influence channel than a performance channel. Someone reads your sponsored recommendation, considers it, and maybe visits your site directly three days later through a branded Google search.
You’ll never see that journey in ChatGPT’s reporting. The influence is real, but invisible to traditional attribution.
For Indian brands used to measuring every rupee through last-click attribution, this requires a mindset shift. Think brand measurement, not performance measurement. Track lift in branded searches, direct traffic, and overall funnel metrics rather than per-ad ROAS.
The measurement infrastructure will mature. OpenAI needs better reporting to attract the number of advertisers needed to hit its $25 billion 2029 revenue target.
But early adopters need to accept the measurement gap and find creative ways to prove value. Those who figure out measurement first will have a significant competitive advantage when the platform opens to a broader audience.
Why does the launch of ChatGPT ads create urgency for Indian brands?
The launch of ChatGPT ads triggered immediate competitive responses. Anthropic ran Super Bowl ads directly attacking OpenAI’s decision, with campaign lines like “Ads are coming to AI. But not to Claude.” Google is accelerating AI Overviews and integrating Gemini into search ads.
For Indian brands, the competitive context creates urgency for a different reason. EMarketer projects AI-driven search ad spending in the US will surge from $1.1 billion in 2025 to $26 billion by 2029.
That’s a 23x increase in four years. This isn’t a niche channel. It’s the next major advertising platform.
The generative engines vs search engines debate is over. Both will coexist. But the brands that treat AI visibility as an afterthought will find themselves invisible in the fastest-growing discovery channel of the decade.
What to do next
The launch of ChatGPT ads is the clearest signal yet that AI platforms are the next major advertising channel. For Indian brands, the timing creates a rare window for preparation.
You can’t buy these ads yet. But you can build the AI visibility foundation that makes your brand ready on day one. That means optimizing your entity presence, structuring your content for AI extraction, and tracking your current AI visibility across platforms.
If you want to know exactly where your brand stands today, start with an AI Visibility Audit. We’ll check your ChatGPT presence, entity profile, structured data readiness, and content optimization across all major AI platforms. No pitch, no obligation. Just a clear picture of where you are and what needs to happen next.
Book your AI Visibility Audit to find out whether AI engines are already recommending you or if your competitors are getting all the visibility.
FAQs
1. Can I advertise on ChatGPT from India?
Not yet. ChatGPT ads are currently US-only with a $200,000 minimum commitment. No official launch date in India has been announced.
OpenAI’s expansion to India with ChatGPT Go in August 2025 signals that the market is a priority. The earliest likely launch window in India is Q2-Q3 2026. In the meantime, Indian brands should build AI visibility through GEO to prepare.
2. How much do ChatGPT ads cost?
ChatGPT ads cost approximately $60 per 1,000 impressions (CPM), with a $200,000 minimum commitment for the beta program. That’s roughly Rs 5,000 CPM and a minimum spend of Rs 1.7 crore. These prices are expected to decrease as the platform scales and self-serve access becomes available.
3. Will ChatGPT ads replace Google Ads?
No. ChatGPT ads and Google Ads serve different moments in the buyer journey. Google captures active search intent through keywords. ChatGPT captures conversational intent during AI-assisted decision-making.
They’re complementary channels, not substitutes. The strongest strategy uses both, just as the best brands run both SEO and Google Ads.
4. Do ChatGPT ads influence AI responses?
No. OpenAI has explicitly stated that ads do not influence the answers ChatGPT provides. Sponsored recommendations appear in a separate, clearly labeled section below the organic response.
The organic answer and the ad system operate independently. Your conversations remain private from advertisers.
5. What is GEO, and how does it relate to ChatGPT ads?
GEO (Generative Engine Optimization) is the practice of optimizing your brand and content to appear in organic AI-generated responses across ChatGPT, Perplexity, Gemini, and other AI platforms. GEO is the organic counterpart to paid ChatGPT ads, just as SEO is the organic counterpart to Google Ads. The strongest AI visibility strategy combines both organic (GEO) and paid (ChatGPT Ads) for maximum coverage.
6. Which brands are excluded from ChatGPT ads?
Health, mental health, financial services, politics, and dating categories are excluded from ChatGPT advertising. If your brand falls in these verticals (common for Indian fintech and healthtech startups), GEO is your only path to appearing in ChatGPT responses.
7. How do I check whether ChatGPT has already mentioned my brand?
Ask ChatGPT questions about your product category (“What are the best [your category] in India?”) and see if your brand appears in the response. Test across ChatGPT, Perplexity, Gemini, and Claude to get a full picture. Track these results monthly to measure progress. For a structured assessment, you can start with an AI Visibility Audit.
For Curious Minds
ChatGPT ads operate on a sophisticated understanding of conversational intent rather than just matching keywords. This means the ad targeting is based on the why behind a user's query, not just the what, creating a more relevant and integrated advertising experience. Unlike a standard search ad that redirects to a landing page, ChatGPT ads allow users to ask follow-up questions about the sponsored product directly within the chat, fostering a continuous dialogue. This interactive element is a major departure from existing ad formats. For Indian brands, this shift demands a new approach focusing on:
Contextual Relevance: Your ad must align with the entire conversation's topic, not just a single search term.
Conversational Value: The ad is a starting point for interaction, not a final click-through destination.
Intent-Driven Targeting: Success hinges on anticipating the user's underlying goal or problem.
Understanding these differences is the first step in building a Generative Engine Optimization strategy that will capture attention when this format becomes widely available.
Advertisements are currently shown exclusively to free-tier users who are logged in and subscribers of the new ChatGPT Go tier. This deliberate segmentation shows OpenAI is carefully balancing monetization with its premium user experience, ensuring its highest-paying customers remain in an ad-free environment. Users of paid plans like Plus, Pro, Business, and Enterprise do not see ads, which preserves the value proposition for those subscriptions. This strategy effectively monetizes the largest segment of its audience, as an estimated 95% of the platform's 800 million weekly active users are on the free tier. By carving out a massive ad-supported user base while protecting its premium subscribers, OpenAI is building a revenue stream without alienating its core power users. This tiered approach suggests a long-term plan to scale ad revenue while maintaining distinct value levels for different customer segments, a key insight for brands planning future campaigns.
The current cost for ChatGPT ads is substantially higher than other major platforms, representing a significant premium for access. At an estimated $60 CPM, it is roughly 6 to 30 times more expensive than typical Meta Ads ($2-$10 CPM) or Google Display ads ($3-$8 CPM) in India. This premium pricing is justified by the platform's unique ability to capture users who are deep in decision mode. A user asking ChatGPT for a CRM recommendation for their startup is demonstrating a much stronger purchase intent than someone passively scrolling a social feed. OpenAI is betting that the high quality of this intent signal warrants the higher price. The current cost also reflects the exclusivity of the beta program, which has a $200,000 minimum commitment and limited inventory available to major advertisers like Adobe. As the platform scales, these costs are expected to decrease, but early on, you are paying for unparalleled access to a high-intent, engaged audience. This dynamic is crucial for evaluating its potential role in your marketing mix.
Evaluating ChatGPT ads against Google Search requires shifting your focus from keyword volume to conversation quality. While Google captures intent expressed in a search query, ChatGPT captures a deeper, more contextual intent developed over a conversation, making it a high-consideration channel. The main difference is intent clarity versus intent development. Google is for users who know what they are looking for; ChatGPT is for users figuring it out. For a mid-market company, the evaluation depends on your goals:
Lead Quality: ChatGPT's $60 CPM may yield fewer leads than Google, but their qualification level could be much higher due to the problem-solving context.
Sales Cycle: For products with long consideration phases, the conversational ad format could shorten the sales cycle by answering complex questions upfront.
Brand Positioning: Being an early advertiser on a new platform can position your brand as a leader.
While Google offers scale and proven ROI, ChatGPT offers a chance to engage high-value customers at a critical decision-making moment. The full article explores how to balance these two approaches.
The participation of global agency giants like WPP and Omnicom in the ChatGPT ads beta is a powerful indicator of a major industry shift. Their early adoption signals that generative AI is not just an experimental tool but is being integrated as a core, strategic advertising channel. This move validates the platform's potential to deliver high-value audiences at scale and suggests that major brands are already preparing for a future where conversational commerce is mainstream. For the broader ecosystem, this means the pressure is on to develop new skills and strategies centered around Generative Engine Optimization (GEO). The expertise required to succeed will move beyond keyword bidding and demographic targeting toward crafting brand narratives that can thrive in a conversational context. The involvement of these agencies is the starting gun for this new race. You can gain a competitive edge by exploring these strategic preparations now.
OpenAI's ambitious revenue target of $1 billion by 2026, and nearly $25 billion by 2029, makes it clear that the current high-cost, exclusive model is temporary. Achieving that scale is impossible without opening the platform to a much wider range of advertisers through a self-serve model, similar to the paths taken by Google and Meta. This forecast strongly implies a product roadmap that includes:
Democratized Access: The $200,000 minimum spend will inevitably be lowered or eliminated to attract small and medium-sized businesses.
Competitive Pricing: The initial $60 CPM will likely decrease as ad inventory increases and the platform needs to compete for budget allocations.
Advanced Tooling: A self-serve dashboard with analytics, targeting options, and creative tools will be necessary to support a broad advertiser base.
This trajectory means that while Indian brands cannot participate today, the window of opportunity is approaching quickly. Brands that prepare their conversational marketing assets now will be best positioned to capitalize when the platform opens up.
The key is to start building your brand's presence within AI models now, even before you can run paid campaigns. A practical twelve-month plan should focus on creating content and data structures that are easily understood and favored by generative AI, a practice known as Generative Engine Optimization (GEO). First, identify the core problems your product solves and map them to the conversational questions your target customers would ask ChatGPT. Second, develop a library of clear, concise, and authoritative content that directly answers these questions. Third, structure this content using schemas and clear formatting so that AI models can easily parse and reference it when generating organic responses. This groundwork not only prepares you for future ad campaigns but can also improve your visibility in current AI-generated answers. The brands that win when the ad platform launches in India will be those that used this preparation window to become a trusted source for the AI.
The most critical tactical adjustment is to shift from a keyword-centric to a problem-centric campaign structure. Your focus must move from 'what term did they search?' to 'what problem are they trying to solve?' This requires a deeper level of customer empathy and strategic planning. Start by creating detailed 'problem personas' that outline the typical challenges your customers face and the conversational paths they might take to find a solution on ChatGPT. Instead of building ad groups around keywords, build them around these problem-solution narratives. For example, instead of targeting 'project management tool,' you would target the conversation around 'managing a remote team's deadlines effectively.' Your ad copy and follow-up interactions should then guide the user through how your product solves that specific problem. This problem-first approach is fundamental to succeeding in a conversational ad environment and is a skill you can begin developing with your team today.
The rise of conversational ads will fundamentally shift user expectations toward more interactive, helpful, and personalized brand engagements. Users will grow accustomed to asking questions and receiving immediate, context-aware answers directly from an ad, making traditional, one-way advertising feel passive and less effective. In the long term, brands that do not adapt will risk appearing outdated and disconnected from customer needs. The implication is clear: your advertising must evolve from a monologue to a dialogue. Brands that continue to rely solely on static formats may see diminishing returns as users gravitate toward more engaging experiences. The future of digital advertising involves becoming a helpful participant in a user's decision-making journey, not just an interruption. This shift requires investment in new creative formats, conversational AI tools, and strategies that prioritize genuine interaction over simple impressions or clicks.
While OpenAI has not announced an official timeline for an India launch, the trajectory of similar ad platforms suggests a phased rollout. Following the current high-cost beta in Western markets, we can anticipate a broader, self-serve platform becoming available internationally within the next 18 to 24 months. OpenAI's goal of $1 billion in ad revenue by 2026 necessitates this expansion. For your two-to-three-year budget planning, you should begin allocating an experimental portion of your digital spend for emerging AI-based channels, starting as early as next year. This doesn't mean pulling significant funds from proven channels yet, but rather creating a flexible 'innovation' budget. This allows you to test and learn quickly as soon as the platform becomes accessible, giving you a crucial first-mover advantage. Waiting for it to become a mature, competitive marketplace means you will have already missed the period of greatest opportunity.
The most common mistake will be treating ChatGPT ads like traditional search ads by simply repurposing keyword-based copy and linking to a landing page. This approach completely misses the platform's core strength: conversation. Users on ChatGPT are not looking to click away; they want to continue the dialogue and get answers within the interface. A campaign built on a click-through mentality will fail. To avoid this, design your campaigns with a 'conversation-first' mindset. Instead of a call-to-action like 'Learn More,' prepare for interactive follow-ups. Anticipate the next three to five questions a user might ask about your product after seeing the ad and be ready with concise, helpful answers. Your primary goal should be to engage and inform within the chat, not to drive immediate off-platform traffic. By preparing a conversational playbook, your brand can avoid this common error and deliver a superior user experience from day one.
The primary risk of a 'wait and see' approach is forfeiting the foundational work of Generative Engine Optimization (GEO), which will determine your brand's organic visibility within AI models long before you spend a single rupee on ads. AI models are constantly learning from existing web content to form their responses. By waiting, you allow your competitors to become the AI's preferred source of information in your category. Proactive brands gain a significant advantage by starting their GEO strategy now. They are actively shaping how AI assistants perceive their market and their brand's authority. This means that when ads do launch, their paid efforts will be built on a strong organic foundation, likely leading to better performance and relevance scores. The preparation window is open right now; inaction is a strategic decision to start from behind. The details in the full article can help you build that early momentum.
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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