Someone in Mumbai just asked ChatGPT: “Which are the best project management tools for Indian startups?”
Even though your product is solid, your website is clean and you rank on page two of Google, ChatGPT listed five tools and yours was not one of them.
A competitor with fewer customers and a thinner blog got named twice.
That gap is not random. It is the result of a specific set of signals your brand either has or does not have. Generative Engine Optimization, or GEO, is the practice of building those signals so that AI systems actually know you exist and trust you enough to mention you.
This post breaks that down practically, specifically for Indian founders and marketers who are watching the shift happen in real time.
What GEO Actually Is
Generative Engine Optimization is the practice of structuring your brand’s online presence so that large language models like ChatGPT, Perplexity, and Gemini cite you, recommend you, or name you when someone asks a relevant question in conversation.
It is not a new content hack, but something more fundamental: making your brand legible to machines that are now mediating how people discover products, services, and information.
Here is the simplest way to understand where it sits:
Traditional SEO gets you a ranked position in a list of blue links that people click.
AEO (Answer Engine Optimization) gets you featured in Google’s AI Overview or a featured snippet.
GEO (Generative Engine Optimization) gets you named inside an AI-generated response when someone has a conversation. Often, that mention is what drives someone to search for you directly.
Three different trust thresholds. GEO is the hardest and right now, the least crowded.
Why This Matters More in India Than Most People Realize
India is the second-largest market for ChatGPT globally, accounting for over 9% of total traffic. That is not a tech-bubble statistic. That is students looking up career advice, founders evaluating vendors, and everyday consumers asking for product recommendations on an AI interface.
ChatGPT usage in India grew 160% through 2025. Perplexity is growing fast in English-speaking urban India. Gemini is embedded across Google products that hundreds of millions of Indians use daily.
The behavior has already changed. The discovery layer has already shifted. The question is not whether your customers are using these platforms. It is whether your brand shows up when they do.
How These AI Platforms Actually Decide What to Mention
Different platforms work differently. Treating them as one thing is why most brand strategies miss.
ChatGPT primarily retrieves commercial information by reading the top-ranked list articles and comparison pieces on search engines. If your brand is not in a well-ranked “best of” article in your category, ChatGPT is likely not encountering you at all. It synthesizes those articles into a response. Your presence in those roundups is your proxy visibility in ChatGPT.
Perplexity runs a live web search for almost every query and cites its sources explicitly, usually five to eight citations per response. This makes it the most transparent and, in some ways, the most directly addressable platform. Good SEO and strong content can get you cited. Those citations are visible to users and drive real traffic.
Gemini draws from Google’s index and is heavily influenced by your organic search presence, structured data, and E-E-A-T signals. If you are doing solid SEO for Google, you are already building part of your Gemini foundation.
What all three share: brands that appear in credible third-party sources, maintain strong review profiles, have a consistent entity presence across the web, and publish genuinely useful original content are significantly more likely to be cited than brands that rely only on their own website and social channels.
What Actually Moves the Needle for Indian Brands
Get into the comparison articles that rank
This is the single highest-leverage GEO tactic for most brands. Identify the “best of” or comparison articles in your category that already sit on page one of Google. Then do the work of getting mentioned in them. Send samples. Contribute original data. Build enough credibility that editors want to include you.
Also consider writing your own category roundup with genuine depth and impartiality. A brand that publishes a well-researched comparison in its space and ranks for it feeds directly into what AI systems retrieve.
Build your entity footprint outside your own website
AI systems train on established, authoritative data sources. Wikipedia (if your brand is significant enough), Crunchbase, LinkedIn, G2, Capterra, IndiaMART, Tracxn, and DPIIT Startup India listings. These are not optional extras. They are the databases that help AI systems verify your brand is real and relevant.
For Indian brands specifically: get on YourStory, Inc42, and Economic Times brand pages. These carry domain authority that AI systems treat as trust signals.
Earn genuine third-party coverage
When credible, independent publications write about your brand in context, that coverage feeds directly into how AI systems understand who you are and what problem you solve. A startup mentioned three times across Business Standard, Mint, and YourStory is a fundamentally different entity in an AI’s knowledge base than one that only exists on its own website.
The content of that coverage matters. If publications describe you as solving a specific problem for a specific market, AI systems pick up on those descriptors and use them when forming responses.
Make your own content citable
There are specific content qualities that make AI systems more likely to extract and reference your writing.
Original data and proprietary statistics are the most powerful. When your blog contains a finding that cannot be found elsewhere, it becomes attributable to you. A survey, a customer data analysis, a benchmarking study. AI systems cite sources that have something unique to offer.
Direct, declarative answers to specific questions matter too. Perplexity and ChatGPT in browsing mode pull content that answers the query in the first paragraph. Lead with the answer. Build depth after. Clear subheadings, self-contained sections that make sense in isolation, and concrete examples from real experience.
These are also the things that make content rank on Google. GEO does not contradict good SEO. It intensifies it toward a different output metric.
Take your review ecosystem seriously
ChatGPT, Gemini, and Perplexity all use review data when forming commercial recommendations. Review volume, recency, sentiment, and the specific language people use to describe your brand all feed into this.
Having 40 Google reviews at a 4.2 rating is very different from having 400 reviews at a 4.7 rating with regular responses from the brand, both from an AI recommendation standpoint and a human conversion standpoint.
For D2C brands: Amazon reviews are read by AI systems. For SaaS: G2 and Capterra ratings matter more than most founders realize.
Be present in the communities that AI systems read
Reddit and LinkedIn were among the top-cited sources by major language models in research on GEO citations. This is significant.
When your brand is discussed authentically in startup subreddits, LinkedIn threads, or niche communities, that discussion becomes part of how AI systems perceive your credibility. This is not about spamming communities with promotional content. It is about being genuinely useful in spaces where your audience already spends time.
For Indian brands: active participation in Quora India topics, LinkedIn professional communities, and industry-specific forums builds the kind of ambient brand presence that AI systems pick up as a credibility signal.
Use schema markup to make your brand machine-readable
Organization schema, Product schema, and FAQ schema are the three that matter most. These structured data formats tell AI systems and search engines exactly what your brand is, what it does, and how it connects to other entities.
An Organization schema with your founding date, industry category, geographic focus, and sameAs links to your verified social profiles, Wikipedia page, and Crunchbase profile creates a machine-readable entity record. It helps AI systems identify you and connect you to the right topics when forming responses.
How to Know If It Is Working
Most Indian brands have no visibility into their AI citation performance right now.
The simplest place to start is manual testing. Ask ChatGPT, Perplexity, and Gemini the questions your target customers would ask. See if you appear. Note which competitors appear and look carefully at their online presence: their review profiles, their publication coverage, and their content depth.
In Google Analytics 4, you can filter for sessions from chatgpt.com, perplexity.ai, and gemini.google.com. That is your AI referral traffic. Track it over time.
Add “How did you first hear about us?” to your lead forms with ChatGPT, Perplexity, and Gemini as options. First-party attribution is more accurate than any platform-level tracking for understanding AI’s role in your discovery.
The Honest Part About Timelines
GEO is not a quick win. Training data takes time to accumulate. Third-party coverage takes time to earn. Review volume takes time to build. Comparison article inclusions take time to negotiate.
The brands that will dominate AI search in 2027 are doing this work in 2026, when most competitors have not taken it seriously yet.
The good news is that the work is additive. Strong content builds search authority and feeds AI citation probability. Review volume converts human visitors and AI recommendation systems. Third-party coverage builds trust with readers and with language models.
You are not doing this instead of your existing marketing. You are doing it in a way that pays dividends across every channel, including the new ones.
Where to Start if You Have Not Yet
Test yourself right now. Open ChatGPT and ask: “What are the best [your category] brands in India?”
If you do not appear, that is your starting point.
Then ask honestly: Is your Crunchbase complete? Have you been covered in credible Indian business publications in the last year? Do you have original research published anywhere? Are your reviews on Google or G2 recent and substantial?
If most of those answers are no, you know exactly what to build. The content strategy follows from that infrastructure, not the other way around.
The Bigger Picture
Search is becoming a conversation. The question is no longer just “how do I rank for this keyword?” It is also “how do I get named when someone asks this question to an AI?”
For Indian brands, this is genuinely open territory. Most categories do not yet have a recognized leader in AI responses. The question of which Indian D2C, which SaaS startup, which consulting firm gets named in the most important category queries is still unsettled.
GEO is how you stake a claim in that conversation. Not by gaming an algorithm. But by building the kind of real, authoritative, widely-referenced presence that AI systems are designed to find and trust.
The brands that do this work now will not just rank better on Google. They will be the ones the machine names first when someone asks.
If you want your brand to be part of that answer, not just another result, Decode Growth helps you build that foundation with a modern, entity-first SEO approach designed for how search actually works today.
FAQs
They share DNA but serve different outcomes. SEO earns you a ranked position in blue links that someone still has to click. GEO earns you a name-drop inside a conversation, which is a fundamentally different trust signal. When ChatGPT recommends your brand unprompted, the user does not compare you to five others on a results page. That recommendation carries weight closer to word-of-mouth than search ranking. Same foundation, completely different finish line.
Third-party mentions before anything else. One feature in YourStory or Inc42 does more for your AI visibility than ten blog posts on your own domain. AI systems verify brands through external references, not self-published pages. After that, complete your Crunchbase and G2 profiles properly. These are the databases LLMs actually query when forming commercial recommendations. Build your external entity footprint first, then layer original content on top once that foundation exists.
Honestly, four to nine months for most brands starting from scratch, sometimes longer. ChatGPT’s training data has a lag. Perplexity indexes faster because it runs live searches, so strong SEO there shows results sooner. What accelerates the timeline is earning coverage in high-authority Indian publications, getting into ranked comparison articles in your category, and building review volume consistently. There is no shortcut, but the work compounds across every channel simultaneously, which makes it worth starting now.
It is understated, not overstated. ChatGPT reads top-ranked “best of” articles when forming commercial recommendations, and those articles heavily reference brands with strong review profiles on Google, G2, and Capterra. Reviewers’ exact language in how they describe your product’s strengths also shapes how AI systems categorize you. A brand with 400 detailed reviews gets described more precisely and more confidently than one with 30. Review quality and volume are genuinely part of your AI recommendation infrastructure.
